2013 TRAINING COuRSe CATAlOGue

Transcription

1 2013 TRAINING COuRSe CATAlOGue

2 what was the most beneficial part of the CMG training course? I saw the applications to my work right away, especially in circulation and in seeing the effects of trajectory issues. (Advanced Wellbore Modelling in STARS, May 2012) The course had a lot of hands-on exercises. Instructor showed good knowledge and enthusiasm for the subject matter. Very good course with great practical value. (SAGD Simulation using STARS, April 2012) The theory portion was very helpful. The tutorials were very effective in demonstrating the concepts. (Geomechanics, March 2012) This training covered most of my questions I had about simulating shale gas. I feel more confident now. (Simulation of Shale, Tight Oil and Gas Reservoirs, January 2012) Showing the flexibility with which the dataset can be modified using Builder. The instructor was knowledgeable about the new trends in industry. (Advanced Wellbore Modelling in STARS, April 2011) The applicability to my work was immediate. The concepts were simple, and short run times for simulations allowed more time for learning. (Numerical Tuning Techniques for CMG Simulators, March 2011) Great overview of the program. Instructor was knowledgeable and interesting and engaged the class. Really enjoyed the exercises at the end of the course, it tied together everything that we learned. (Introduction to CMG s Simulation Workflows, February 2011)

3 foreword Oil and gas operators are facing challenges previously unknown - the need for trained reservoir engineers and the enhanced recovery of increasingly complex reservoirs. By using CMG reservoir simulation software, reservoir engineers are able to maximize productivity and confidently conduct economic forecasts with reduced risk and uncertainty. CMG software is the industry standard for advanced processes reservoir simulation. After attending one of our hands-on, industry focused training courses, attendees will be better trained to use the reservoir simulation tools in the most efficient way, ultimately leading to faster and more accurate engineering decisions. CMG offers a variety of courses from beginner to advanced, covering the full CMG software suite, advanced processes and the varying reservoir challenges, as appropriate. Our courses are developed and taught by highly experienced, specialist reservoir engineers, who discuss latest technology trends in the oil and gas industry and application to reservoir simulation. At CMG, we have built world-class training facilities that are equipped with the latest hardware to provide a pleasant and an excellent learning experience for all attendees. All courses can be held in one of our dedicated training facilities or delivered at your office. Please contact one of our training coordinators to discuss custom, on-site training courses in more detail. CMG training courses are unique and effective: 1. Attendees have access to experienced instructors, drawn from our Consulting, Support and Training engineering staff and software development team 2. Ability to hold courses in your offices or at a dedicated CMG facility 3. Ability to choose the course level according to your skill level (introductory, intermediate, advanced) 4. Ability to customize the training, using your data, for immediate applicability to your own projects 5. Offer a combination of lecture-type conceptual material with modular, hands-on labs and tutorials building upon prior developed skills and knowledge; learn by practicing within the software products on relevant projects We invite you to attend one of our training courses to learn why CMG software continues to be the industry standard for advanced reservoir simulation processes. Best regards, Ken Dedeluk President & CEO

4 TABLE OF CONTENTS Available Courses heavy oil training unconventional oil & gas training Enhanced Oil Recovery (EOR) training Builder, Simulation Model Building Application Results, Visualization & Analysis Application introduction to cmg s simulation workflows Advanced Features in Builder & Results IMEX, Three-Phase, Black Oil Simulator conventional oil reservoir simulation (HOUSTON) for CURRENT schedule scan the code online registration now available GEM, Compositional & Unconventional Reservoir SimulAtor simulation of Shale, tight oil and Gas RESERVOIRS Coal Bed Methane Simulation CO 2 EOR simulation Geomechanics Numerical Tuning Techniques for CMG Simulators Geochemistry CO 2 Sequestration Simulation FORGAS

5 STARS, Advanced Processes & Thermal Reservoir SimulATor Introduction to thermal eor simulation SAGD Simulation Thermal and ADVANCED Processes SimulATion (VEnezuela) ADVANCED Wellbore Modelling Geomechanics Chemical EOR Simulation CHEMICAL FLOODING (VEnezuela) Numerical Tuning Techniques for CMG Simulators MODELLING OF CARBONATE NATURALLY FRACTURED RESERVOIRS WinProp, Phase-Behaviour & Fluid PropeRTY Program Phase Behaviour Modelling and PVT CreATion CMOST, Enhance & AcceleRATe Sensitivity Analysis, HistoRY Matching, OptimizATion & UnceRTAinty Analysis Assisted History Matching, Optimization & UnceRTAinty Analysis Assisted History Matching, Optimization & UnceRTAinty Analysis USING STARS (VENEZUELA) Assisted History Matching, Optimization & UnceRTAinty Analysis USING IMEX (VENEZUELA) CUSTOM TRAINING COURSES 38 INSTRUCTORS 40 Locations & Contact Information 43

6 AVAILABLE COURSES INTRODUCTION TO CMG S SIMULATION WORKFLOWS PAGE 7 UNCONVENTIONAL OIL/GAS PROCESSES EOR PROCESSES HEAVY OIL PROCESSES SIMULATION OF SHALE, TIGHT OIL & GAS RESERVOIRS PAGE 13 PHASE BEHAVIOUR MODELLING & PVT CREATION PAGE 33 INTRODUCTION TO THERMAL EOR SIMULATION PAGE 23 COAL BED METHANE SIMULATION PAGE 14 CHEMICAL EOR SIMULATION PAGE 28 SAGD SIMULATION PAGE 24 ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS PAGE 35 CO 2 EOR SIMULATION PAGE 15 ADVANCED WELLBORE MODELLING PAGE 26 PHASE BEHAVIOUR MODELLING & PVT CREATION PAGE 33 CO 2 SEQUESTRATION SIMULATION PAGE 19 GEOMECHANICS PAGE 16 NUMERICAL TUNING TECHNIQUES FOR CMG SIMULATORS PAGE 30 MODELLING OF CARBONATE NATURALLY FRACTURED RESERVOIRS PAGE 31 ADVANCED FEATURES IN BUILDER & RESULTS PAGE 8 CUSTOM TRAINING COURSES PAGE 38 1

7 heavy OIl TRAINING INTRODuCTION TO CMG S SIMulATION WORKFlOWS page 7 OTheR ReCOMMeNDeD COuRSeS INTRODuCTION TO TheRMAl eor SIMulATION page 23 ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS page 35 SAGD SIMulATION page 24 phase behaviour MODellING & pvt CReATION page 33 ADvANCeD FeATuReS IN builder & ReSulTS page 8 GeOMeChANICS ADvANCeD WellbORe MODellING page 26 page 16 NuMeRICAl TuNING TeChNIqueS FOR CMG SIMulATORS page 30 2

8 unconventional OIl & GAS TRAINING INTRODuCTION TO CMG S SIMulATION WORKFlOWS page 7 OTheR ReCOMMeNDeD COuRSeS COAl bed MeThANe SIMulATION page 14 SIMulATION OF ShAle, TIGhT OIl & GAS ReSeRvOIRS page 13 ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS page 35 GeOMeChANICS page 16 phase behaviour MODellING & pvt CReATION page 33 NuMeRICAl TuNING TeChNIqueS FOR CMG SIMulATORS page 30 ADvANCeD FeATuReS IN builder & ReSulTS page 8 3

9 ENHANCED OIL RECOVERY (EOR) TRAINING INTRODUCTION TO CMG S SIMULATION WORKFLOWS PAGE 7 OTHER RECOMMENDED COURSES PHASE BEHAVIOUR MODELLING & PVT CREATION PAGE 33 INTRODUCTION TO THERMAL EOR SIMULATION PAGE 23 GEOCHEMISTRY PAGE 18 CO 2 EOR SIMULATION PAGE 15 CHEMICAL EOR SIMULATION PAGE 28 CO 2 SEQUESTRATION SIMULATION PAGE 19 MODELLING OF CARBONATE NATURALLY FRACTURED RESERVOIRS PAGE 31 ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS PAGE 35 GEOMECHANICS PAGE 16 NUMERICAL TUNING TECHNIQUES FOR CMG SIMULATORS PAGE 30 ADVANCED FEATURES IN BUILDER & RESULTS PAGE 8 4

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11 BUILDER, SIMULATION MODEL BUILDING APPLICATION RESULTS, VISUALIZATION & ANALYSIS APPLICATION The combination of Builder and Results provides a framework for data integration and workfl ow management between CMG s reservoir simulators. Builder is a menu driven reservoir simulation model creation, editing and visualization program for generating input data for all CMG software products STARS, GEM, IMEX, CMOST and WinProp. The Builder interface is designed to enhance user productivity. Results, a set of post processing applications, is designed to visualize and report CMG software STARS, GEM, IMEX, and CMOST input and output data into 2D aerial maps, 2D cross sections, 3D perspectives and stereoscopic 3D formats. All Results fi les can be exported for use in MS Offi ce products. New users will benefi t from the ease of use for model creation and editing, while advanced users will appreciate the simulator KEYWORD format. BENEFITS Faster and more effi cient design and preparation of reservoir simulation models Enhance user productivity through an interactive and easy to use interface Quickly and easily create models using Builder s advanced process wizards (chemical reactions, hydraulic fracturing, geomechanics, rock-fl uid interaction and phase behaviour and reactions) Increase data integration and workfl ow management using Builder and Results Easily and effectively analyze simulator input and output data Make fast and informed decisions about improving recovery and performance for a well or a fi eld Input from and output to 3D geological software to complete the seismic to simulation and back workfl ow WHAT STUDENTS ARE SAYING... I really enjoyed the visualization applications of the software and the quick reference tools (Introduction to CMG s Simulation Workfl ows, September 2012) The practical applications of the software made the course very useful (Advanced Features in Builder & Results, July 2012) We covered all the main functions of the software. I liked the way we repeated use of Results by building onto the same basic model several times. This repetition helped me navigate through the process on my own by the end of the class (Introduction to CMG s Simulation Workfl ows, February 2012) Very well organized notes and well constructed tutorials. Tutorials were pretty well focused on topics of most interest. Good discussion of how options are implemented in the simulator (Advanced Features in Builder & Results, July 2011) 6

12 INTRODUCTION TO CMG S SIMULATION WORKFLOWS 2-DAYS PREREQUISITES NONE NEXT STEPS ADVANCED BUILDER & RESULTS (pg.8) INTRODUCTION TO THERMAL EOR SIMULATION (pg.23) ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) SIMULATION OF SHALE, TIGHT OIL & GAS RESERVOIRS (pg.13) CBM SIMULATION (pg.14) CO 2 EOR SIMULATION (pg.15) GEOMECHANICS (pg.16) GEOCHEMISTRY (pg.18) CO 2 SEQUESTRATION SIMULATION (pg.19) FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE ABOUT THE COURSE This is the fi rst course in any students training, upon which every subsequent course builds. Attendees will learn the latest technology in pre- and post-processing capabilities for CMG simulators. These include Builder, which handles the bulk of data preparation for black oil (IMEX), compositional (GEM) and advanced thermal/chemical process (STARS) simulators. Basic raw data such as geological maps, PVT data, core analysis, production data, and perforation /completion events are imported into Builder to create a complete dataset, initially for the IMEX simulator. Formats for each type of data will be introduced. Different methods of incorporating PVT data, relative permeability curves, well completions and injection/production data etc. will be discussed in more detail. Participants will learn how to use the pre-processor to convert the raw data into an IMEX dataset. The converted dataset will be validated and processed by IMEX to generate output graphic fi les. Participants will also learn how to use Results 3D, Results Graph, and Report Writer to view the simulation output. A similar approach could be used to create a compositional GEM dataset or a thermal STARS dataset. WHO SHOULD ATTEND This two-day course is designed for engineers, geologists or other technical personnel who would like to build basic black oil simulation models and at the same time use some advanced simulation technology, especially in terms of pre- and post-processing capabilities. A basic reservoir engineering background is required with little or no reservoir simulation experience. COURSE CONTENT Introduction to Builder, different map formats (Cartesian, orthogonal or non-orthogonal corner point grids) Interpolation, editing of reservoir properties, adding/deleting wells including vertical and horizontal wells Adding aquifers, PVT data, relative permeability curves, and smoothing/adjusting data graphically Analytical correlations used in preparing PVT data and rock/fl uid properties Defi ning fl uid contacts, setting reference pressure, selection of different initialization methods Creation of recurrent well data and production history fi les based on general fi eld production data Defi ning well perforations and creating restart records for prediction runs Validate data, test runs, and review results using Results 3D and Results Graph Create different Results - template fi les, multiple plots, and MS Excel style reports 7

13 ADVANCED FEATURES IN BUILDER & RESULTS 2-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) NEXT STEPS ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) NUMERICAL TUNING TECHNIQUES (pg.30) SAGD SIMULATION (pg.24) GEOMECHANICS (pg.16) ADVANCED WELLBORE MODELLING (pg.26) FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE ABOUT THE COURSE Attendees will learn new advanced features and more sophisticated functions within Builder and Results to create complex datasets and reports. Existing datasets - IMEX, GEM, STARS - will be used to demonstrate the unique functions of CMG s Builder/Results software. The course will provide participants with enough information and techniques to fully master the basic and advanced features in Builder/Results to achieve optimum data designs and presentations. WHO SHOULD ATTEND This two-day course is designed for engineers, geologists or other technical personnel who would like to learn the more advanced functions in CMG s Builder and Results software. Basic CMG Builder/Results skills and an understanding for one of CMG s simulators - IMEX, GEM, STARS - are required. COURSE CONTENT Advanced Builder/Results applications Use of formulae to create new variables, generate sectors, and assign different properties Use of different geostatistical methods to generate distributions based on Log data Grid upscaling Using build-up permeability estimation, relative permeability smoothing, and end point scaling Scripting for multiple geostatistical realizations Handling complex well confi gurations (e.g. multilateral wells, property modifi cation, and/or grid refi nements around wells) Learning different process wizards and advanced presentation skills such as streamlines, iso-surfaces, vectors, and color scaling Different plotting techniques will be discussed including rate versus cumulative production plots, axis scaling, property versus distance plots, report (tables) generation, customized reports and templates, etc. 8

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15 IMEX, THREE-PHASE, BLACK OIL SIMULATOR IMEX is one of the world s fastest conventional reservoir simulators. IMEX is a full featured, three phase, four component, black oil reservoir simulator for accurately modelling complex heterogeneous faulted structures, primary and secondary recovery processes, horizontal and multilateral wells and reservoir subsidence. IMEX includes features such as local grid refi nement (LGR), comprehensive well management, a pseudo miscible option, polymer fl ooding, dual porosity/ permeability, fl exible grids, gas adsorption and more. Reservoir engineers use IMEX to move from history-matched, primary production and waterfl oods to enhanced recovery processes in GEM and STARS, quickly and easily. BENEFITS Quickly screen variety of recovery mechanisms before moving to a more complex simulation Accurate modelling of matrix fracture system in fractured reservoirs Seamless integration with CMOST for rapid, accurate history matching APPLICATIONS Unconventional gas & liquids reservoir Primary depletion Naturally or hydraulically fractured reservoirs Secondary recovery Gas storage fi elds WHAT STUDENTS ARE SAYING... The whole course was very helpful, particularly if there was no prior experience with Builder/Results. (Introduction to CMG s Simulation Workfl ows, July 2012) The instructor covered the course in a timely manner. He gave us enough time to follow and understand the underlying concepts. He took time to answer all questions and enabled the class to participate in a lively exchange of ideas. (Introduction to CMG s Simulation Workfl ows, May 2011) Hands on experience valuable. Interspersing exercises with presentations helped reinforce concepts and workfl ow. (Introduction to CMG s Simulation Workfl ows, May 2011) Great course, very good at demonstrating the capabilities of the software, as well as, simulation in general. (Introduction to CMG s Simulation Workfl ows, February 2011) 10

16 CONveNTIONAl OIl ReSeRvOIR SIMulATION NOTe: ThIS COuRSe IS ONly AvAIlAble IN houston 1-DAy prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) NeXT STepS ADvANCeD builder & ReSulTS (pg.8) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) SIMulATION OF ShAle, TIGhT OIl & GAS ReSeRvOIRS (pg.13) CbM SIMulATION (pg. 14) CO 2 eor SIMulATION (pg. 15) GeOMeChANICS (pg.16) GeOCheMISTRy (pg.18) CO 2 SequeSTRATION SIMulATION (pg.19) AbOuT The COuRSe The course will introduce the latest technology in black oil simulation capabilities using IMeX. CMG s builder/ Results software will be used extensively to create/modify data and analyze results. Several hands on exercises will be used to help students create an IMeX dataset and to apply several of the simulators capabilities. participants will use Results 3D and Results Graph to view simulation output. WhO ShOulD ATTeND This one day course is designed for engineers, geologists or other technical personnel who would like to build basic black oil simulation models and at the same time use some advanced simulation technology especially in terms of pre- and post processing capabilities. Students should have completed the two day Introduction to CMG s Modelling Workfl ows training course or have hands on experience using builder/results software. COuRSe CONTeNT Overview and application of several IMeX simulator features including: under saturated/saturated oil reservoirs and gas condensate reservoirs Secondary recovery processes including waterfl ooding and dry gas injection Naturally fractured reservoirs with horizontal hydraulically fractured wells Reservoir/surface facilities coupled modelling for CUrrENT schedule scan ThE CoDE online registration Now available 11

17 GEM, COMPOSITIONAL & UNCONVENTIONAL RESERVOIR SIMULATOR GEM is an advanced, general Equation of State (EoS) compositional simulator that models the fl ow of three phase, multi component fl uids. GEM will model any type of reservoir where the importance of the fl uid composition and their interactions are essential to understanding the recovery process. GEM can accurately model primary, secondary, and tertiary recovery processes, including thermal effects, as well as complex heterogeneous faulted structures, horizontal and multilateral wells, and geomechanical deformation. GEM is used extensively for modelling unconventional gas and liquids rich shales, coal bed methane (CBM & E CBM) and CO 2 processes. BENEFITS Understand fl uid property composition and behaviour Simulate recoverable reserves through advanced simulation Simulate complex reservoirs to identify optimal recovery processes Increase estimated NPV through accurate phase behaviour models Optimize fi eld, surface operating conditions and overall recovery APPLICATIONS Unconventional oil & gas (shale oil/gas; tight oil/gas; CBM; liquids rich) Hydrocarbon & acid gas injection Gas, gas condensate & volatile oil Greenhouse gas Fractured reservoirs WHAT STUDENTS ARE SAYING... GEM can be customized in different ways for shale gas simulation. This is very important due to many unknown facts of shale. (Simulation of Shale, Tight Oil and Gas Reservoirs, November 2012) We learned about WinProp and GEM updates. The operating guide was very informative, and very helpful to improve our productivity. (Simulation of Shale, Tight Oil and Gas Reservoirs, October 2012) The theory portion was very helpful. The tutorials were very effective in demonstrating the concepts. (Geomechanics in GEM and STARS, March 2012) The discussions with the instructor were directly related to what I needed to know to do my job as a reservoir simulation engineer. (Geomechanics in GEM and STARS, March 2012) Covering all the theory behind the model was of great benefi t. There are so many different reservoir and fracture properties taken into account. (Simulation of Shale, Tight Oil and Gas Reservoirs, January 2012) 12

18 SIMulATION OF ShAle, TIGhT OIl AND GAS ReSeRvOIRS 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) GeOMeChANICS (pg.16) phase behaviour MODellING AND pvt CReATION (pg.33) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.17) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe Attendees will learn the latest technology in unconventional reservoir simulation using the CMG compositional simulator GeM. Shale, tight oil and gas reservoir theory and simulation concepts will be discussed. This course also includes instruction on CMG s builder software, which handles the bulk of data preparation for compositional simulation in GeM for unconventional oil and gas reservoirs. basic raw data such as geological maps, fl uid composition data, core analysis, production data, perforation/completion events, and microseismic data are imported via builder to create a complete dataset for the GeM simulator. Formats for each type of data will be introduced. Concepts of uncertainty analysis/experimental design techniques, assisted history matching, and optimization will be discussed. WhO ShOulD ATTeND This two-day course covers shale, tight oil and gas reservoir simulation concepts using CMG s compositional simulator GeM. This course is designed for engineers, geologists and other technical personnel undertaking basic or advanced shale, tight oil or gas reservoir simulation. A basic reservoir engineering background in unconventional oil and gas reservoirs is required with little or no reservoir simulation experience. COuRSe CONTeNT Introduction to builder pre-processor features Grid creation using maps and Rescue import from geological software Shale gas example case with input of reservoir characteristics including adsorption data for a multiple component system Input data for multiple permeability system preparation of rock/fl uid properties using analytical correlations Discussions on well confi gurations: vertical, horizontal, multilateral, etc. Illustration of hydraulic fracture and natural fracture network modelling using the hydraulic fracture wizard in builder Incorporating microseismic data into fracture modelling using CMOST to aid in the modelling process (Sensitivity Analysis, history Matching, Optimization, and uncertainty Analysis) validate data and run simulation datasets, review results using Results 3D & Results Graph Discussions on stress dependent natural and hydraulic fracture conductivity modelling 13

19 COAl bed MeThANe SIMulATION 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) GeOMeChANICS (pg.16) phase behaviour MODellING AND pvt CReATION (pg.33) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.17) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe Attendees will learn the latest technology in coal bed methane (CbM) simulation using the CMG compositional simulator GeM. CbM reservoir theory and simulation concepts will be discussed. This course also includes instruction on CMG s builder software, which handles the bulk of data preparation for compositional simulation using GeM for CbM and enhanced CbM reservoirs. basic raw data such as geological maps, fl uid composition data, core analysis, production data, and perforation/completion events are imported into builder to build a complete dataset for the GeM simulator. Formats for each type of data will be introduced. Field development concepts using group controls, automatic well drilling options, etc. will be discussed. Concepts of uncertainty analysis/experimental design techniques, assisted history matching and optimization will be discussed. WhO ShOulD ATTeND This two-day course covers CbM reservoir simulation using CMG s compositional simulator GeM. This course is designed for engineers, geologists and other technical personnel undertaking basic or advanced CbM reservoir simulation. A basic reservoir engineering background in CbM is required with little or no reservoir simulation experience. COuRSe CONTeNT Introduction to builder pre-processor features Grid creation using maps and Rescue import from geological software Input of CbM reservoir characteristics including adsorption data for a multiple component system Input data for multiple porosity system for CbM reservoirs preparation of rock/fl uid properties using analytical correlations Discussions on well confi gurations: vertical, horizontal, multilateral, etc. CbM with CO 2 injection effect of coal matrix shrinkage and swelling validate data and run simulation dataset, review results using Results 3D & Results Graph Discussion of history matching techniques using manual and assisted history matching methods 14

20 CO 2 EOR SIMULATION 3-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) PHASE BEHAVIOUR MODELLING & PVT CREATION (pg. 33) NEXT STEPS ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) ADVANCED FEATURES IN BUILDER & RESULTS (pg.8) NUMERICAL TUNING TECHNIQUES (pg.17) ABOUT THE COURSE Attendees will learn the method of creating PVT data for miscible fl oods using the GEM simulator. Participants will learn how to create a 1D model to simulate core studies in GEM. Sensitivity studies and history matching workfl ows are explored with the 1D core model. Participants will then create a 3D compositional miscible fl ood model and run an EOR case using miscible CO 2 injection. Participants will learn how to tune the numerical parameters in GEM to reduce the run time and material balance error. WHO SHOULD ATTEND This three-day course is for engineers or other technical personnel who would like to learn the techniques of EOR by CO 2 injection in a miscible fl ood process. The knowledge of using WinProp and incorporating laboratory measured data to create an EoS based fl uid model is a prerequisite, as well as some simulation experience (preferably compositional modelling). Participants must have taken the two-day Phase Behaviour Modelling & PVT Creation using WinProp (pg.28) course, and should be familiar with using CMG s Builder/Results software. COURSE CONTENT PVT requirements for miscible fl oods in GEM Examination of fi rst contact and multi-contact miscibility situations Create a 1D simulation model in GEM and history match core studies for miscible fl oods Create a compositional miscible fl ood 3D simulation model in GEM Run EOR cases using CO 2 miscible fl ood in GEM Tuning some numerical parameters in GEM to enhance the run performance FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE 15

21 GeOMeChANICS 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS SAGD SIMulATION (pg.24) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.17) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe Attendees will learn the geomechanical concepts from simple dilation/compaction table input to complex fi nite element strain/stress approaches. Attendees should be familiar with basic simulation work and have some practical experience in black oil, compositional, or thermal simulation. Stress-related phenomenon will be discussed including rock deformation and subsidence. Caprock integrity and modelling of caprock failures will be discussed and illustrated. Simple elasto-plastic yield to more complex cap models will be explained and demonstrated. Single well to full fi eld examples of geomechanics simulation in GeM and STARS will be illustrated. Analysis of the simulation runs will be performed to have a better understanding of these geomechanical features. This course will provide participants with enough information and techniques to build a complex reservoir simulation dataset with geomechanical effects and explore the more complex functions of GeM and STARS simulators. WhO ShOulD ATTeND This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn the geomechanical features in CMG s GeM and STARS simulators. basic knowledge of CMG simulator functions is required to learn the geomechanical features and applications. COuRSe CONTeNT GeM and STARS simulator geomechanics features and applications including application of geomechanical coupling to the simulators Simple dilation/compaction table input, application and limitation Concepts of complex stress-strain relationship, yielding criteria, linear elasticity, non-linear elasticity (hypoelastic and hyperelastic), elasto-plastic behaviour and associated constitutive models (Mohr-Coulomb and Drucker prager), and Generalized plasticity Keywords used in geomechanical models in GeM & STARS example models of modelling caprock integrity in thermal simulation and CO 2 sequestration simulation for saline aquifers Review of builder & Results to input and analyze simulation data Implementation of a separate Geomechanical Grid (GeoGrid) use of post-process geomechanic capabilities (running geomechanics on a previously ran reservoir model) Other example simulation models related to geomechanical features in GeM and STARS applications 16

22 NuMeRICAl TuNING TeChNIqueS FOR CMG SIMulATORS 1-DAy prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe The course will introduce concepts of CMG simulators - IMeX, GeM, STARS - with emphasis on numerical tuning and diagnosis of numerical problems. The individual should be familiar with CMG simulation work and have some practical experience in simulation. Specifi c analysis techniques - such as analyzing the numerical output parameters, fi ne tuning of the input data, diagnosis of small time-step problems, and non-convergence - for CMG simulator outputs will be examined. CMG s builder/results software will be used extensively to modify data and analyze results. A hands-on exercise will be included to help users debug data fi les. The course will provide a participant enough information and techniques to fi ne tune and adjust their own dataset and improve the performance of more complicated simulation processes. Key factors in tuning and managing dynamic gridding and parallelization will also be discussed. WhO ShOulD ATTeND This one-day course is designed for engineers, geologists, or other technical personnel who would like to learn more about the numerical tuning techniques for CMG simulators with emphasis on the advanced processes and thermal simulator, STARS. basic CMG builder/results skills are required to learn the numerical tuning of CMG simulator applications. COuRSe CONTeNT CMG simulator numerical features What to look for when numerical problems occur how to fi ne-tune the dataset by analyzing the output numerical variables Which parameters in the numerical section are more sensitive than others Systematic approach in solving numerical problems and improving calculation effi ciency Reviewing of datasets before and after numerical tuning hints on getting the most out of dynamic gridding and parallelization (including defi ning of custom planes) 17

23 GeOCheMISTRy 1-DAy prerequisites NONe NeXT STepS CO2 SequeSTRATION SIMulATION (pg. 19) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.17) AbOuT The COuRSe Geochemical effects associated with CO 2 in the Carbon Capture and Storage (CCS) process is an important trapping mechanism which should be considered. Once CO 2 is injected into a reservoir, the trapping mechanism progresses through residual gas trapping, solubility trapping, ionic trapping, and fi nally to mineral trapping over 1000 s of years. At each step, the CO 2 is trapped in a more secure form. The chemistry of produced fl uids from the reservoir records the geochemical processes taking place in the reservoir. These can be used to place appropriate constraints on reservoir modelling if geochemical reactions are incorporated. because of the complexity and number of calculations required per grid block in GeM, the dominant reactions occurring in the reservoir must be identifi ed through use of equilibrium and kinetic geochemical modelling software and then specifi ed in GeM in order to calculate the amounts, types, and timing of the geochemical trapping effi ciency. The workshop will build up to the CO 2 Sequestration in GeM course where it will be discussed how residual and solubility trapping leads to interactions between the fl uids and minerals in the reservoir, resulting in ionic and mineral trapping. WhO ShOulD ATTeND This one-day course is designed for engineers, geologists, or other technical personnel to precede the 2-day CO 2 Sequestration in GeM course. for CUrrENT schedule scan ThE CoDE online registration Now available COuRSe CONTeNT The course covers the fundamental and the practical aspects of preparing appropriate geochemical datasets for GeM using two geochemical software applications, SOlMINeq and GAMSpATh. The topics covered include: Assessing reliability of water analyses (SOlMINeq) Correction of water analyses to down-hole conditions (SOlMINeq) Mixing of waters (SOlMINeq) Saturation state of minerals (SOlMINeq) Kinetics of mineral reactions (GAMSpATh) Assessing probable mineral reactions within a grid block (GAMSpATh) Incorporation of water chemistry and mineral reactions in GeM GeM case study of short-term and long-term geochemical trapping ThIS COuRSe IS TAuGhT by AlbeRTA INNOvATeS TeChNOlOGy FuTuReS (AITF) personnel. 18

24 CO 2 SequeSTRATION SIMulATION 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) GeOCheMISTRy (pg.18) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.17) AbOuT The COuRSe Carbon dioxide is emitted in vast quantities through the burning of coal and other fossil fuels for transport, heat, and the production of electricity. CO 2 capture and storage is a practical method for reducing the amount of CO 2 released into the atmosphere. There are presently four accepted methods for storing CO 2 in underground geological formations: Storage in depleted oil & gas reservoirs use of CO 2 in enhanced Oil Recovery (eor) use of CO 2 in enhanced Coal bed Methane (ecbm) recovery Storage in deep aquifers (saline or fresh) This training will address the latest methods of CO 2 storage. Deep saline aquifers seem to offer the most promise for CO 2 storage, as they are widely distributed, underlie most point sources of CO 2 emission and are not limited by the reservoir size, as in the case of depleted oil and gas reservoirs. Also, saline water is not seen to have a use at present or the foreseeable future due to the associated dissolved solid contents. WhO ShOulD ATTeND This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn about CO 2 Sequestration in GeM. Advanced knowledge of CMG simulator functions is required. COuRSe CONTeNT This course covers the fundamentals and the practical aspects of the simulation of CO 2 storage in saline aquifers with the eos geochemical compositional simulator, GeM, developed by CMG. Three important aspects of CO 2 storage are covered: CO 2 solubility in brine, residual gas trapping, and mineralization of CO 2 over a long period. for CUrrENT schedule scan ThE CoDE online registration Now available The topics covered include: use of CMG s Winprop to generate fl uid data for GeM Geochemistry Modelling gas solubility in the aqueous phase Relative permeability effects on residual gas trapping (hysteresis) Simulation of fl ow and convection in aquifers Conversion of CO 2 into minerals Case studies with GeM: use of vertical and horizontal wells Injection locations Investigation of Water-Over-Gas Injection schemes and associated benefi ts The hands on section of the class will cover: building CO 2 sequestration simulation models in saline aquifers visual and graphical analysis of simulation results 19

25 FORGAS 1-DAy prerequisites NONe AbOuT The COuRSe This course introduces the capabilities of SpT Group Canada ltd. s FORGAS coupled to GeM for modelling the unconventional gas fi eld system, from reservoir to the plant gate. each participant will learn how to use FORGAS to model pipelines, wells, and fi eld facilities and how to couple the FORGAS surface model to the GeM reservoir model. participants will learn how to use the predicted fi eld performance to determine how to optimize the fi eld and will gain hands-on experience in fi eld optimization. WhO ShOulD ATTeND This one-day course covers surface facility network modelling using FORGAS. This course is designed for engineers or other technical personnel who would like to model the reservoir and the surface facility network as a single system. Reservoir performance and the effect of gathering systems and compression facilities for unconventional gas fi elds will be analyzed. FORGAS will be used to model the pipelines, wellbores and compressors, in conjunction with CMG s compositional reservoir simulator, GeM. COuRSe CONTeNT Introduction to FORGAS features and how it couples with GeM Creating a FORGAS model link the FORGAS model to an existing GeM CbM model Run the coupled FORGAS/GeM model to predict fi eld performance over several years Optimization challenge, evaluating different pipeline sizes, compressor confi gurations and enhanced CbM using CO2 injection (ecbm) for CUrrENT schedule scan ThE CoDE online registration Now available ThIS COuRSe IS TAuGhT by SpT GROup CANADA ltd. 20

26 21 20

27 STARS, ADvANCeD processes & TheRMAl ReSeRvOIR SIMulATOR STARS, a k valued (Kv) based, advanced process reservoir simulator, can be used to model virtually any recovery process. STARS is especially suited to non isothermal, light and heavy oil recovery processes as well as those that require the modelling of chemical reactions and alkaline surfactant polymer (ASp) fl ooding, foamy heavy oil production and cold heavy oil production. In addition, STARS can model the in-situ formation of emulsions, wax precipitation and thermal desorption. STARS includes a rigorous, iteratively coupled geomechanics module, as well as, integration with third party packages for modelling subsidence and related effects that may occur during recovery. benefits Robust modelling for dispersed components Model single wells, to multi well pad and/or fi eld scale projects Simulate formation of emulsions and foams, and predict asphaltene precipitation/deposition Accurately visualize changing reservoir dynamics Design accurate SAGD well pairs Decrease GOR process while increasing OOIp recovery with accurate simulation of foamy oil models ApplICATIONS Thermal recovery (steam fl ooding, CSS, SAGD, vapex, air injection, electrical heating etc.) Geomechanics (subsidence & uplift) Chemical (emulsions, gels, foams, ASp, microbial, foamy oil) Solids transport & deposition Asphaltenes Sand production WhAT STuDeNTS ARe SAyING... The instructor was fantastic at giving real life examples and answering questions with additional theory from outside the course content. (Introduction to Thermal eor Simulation, September 2012) This class was very helpful for my work. We covered many of the issues that I was having with my own models and I believe that I will be able to run my models more effi ciently after having taken this course. (Numerical Tuning Techniques for CMG Simulators, September 2012) A good introduction to chemical assisted recovery processes both in terms of physical/chemical background and in how CMG software seeks to model the scenarios. (Chemical eor Simulation, June 2012) The practical work was quite helpful. I thought the information regarding ES SAGD was quite interesting as well. (SAGD Simulation, June 2012) I saw the applications to my work right away, especially in circulation and in seeing the effects of trajectory issues. (Advanced Wellbore Modelling, May 2012) Very comprehensive course. A lot of extra information that is not in the tutorial. Great job! (SAGD Simulation, December 2011) 22

28 INTRODuCTION TO TheRMAl eor SIMulATION 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) NeXT STepS SAGD SIMulATION (pg.24) GeOMeChANICS (pg.27) ADvANCeD WellbORe MODellING (pg.26) CheMICAl eor SIMulATION (pg.28) NuMeRICAl TuNING TeChNIqueS (pg.30) CO2 eor SIMulATION (pg.15) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) phase behaviour MODellING AND pvt CReATION (pg.33) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) AbOuT The COuRSe The course will introduce concepts of the STARS simulator with emphasis on component design and other advanced features available in STARS. The individual should be familiar with simulation work and have some practical experience in simulation. CMG s builder/results software will be used extensively to create and modify datasets and analyze results. A hands-on exercise will be included to help new users build a 2-component thermal simulation. The course will provide participants enough information and techniques to build a simple STARS dataset and explore the more complex functions of the STARS simulator. WhO ShOulD ATTeND This two-day course is designed for engineers, geologists or other technical personnel who would like to learn the basics of CMG s Advanced process and Thermal Simulator STARS. participants should be familiar with using CMG s builder & Results software to learn the STARS simulation applications. COuRSe CONTeNT STARS simulator features and applications Component concepts and specifi c functions including reaction kinetics, solid handling, adsorption and others Review of builder/results to input and analyze simulation data exercise on building a 2-component thermal model exercise on converting an existing black oil dataset into a 3-component STARS dataset Implementation of Steam Flood, Cyclic Steam, and Water fl ooding simulation techniques in exercises Review of more typical advanced STARS datasets including chemical, air injection, foamy oil and other advanced processes for CUrrENT schedule scan ThE CoDE online registration Now available 23

29 SAGD SIMulATION 4-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS ADvANCeD WellbORe MODellING (pg.26) GeOMeChANICS (pg.27) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.30) phase behaviour MODellING AND pvt CReATION (pg.33) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe The course will review the basic concepts of Steam Assisted Gravity Drainage (SAGD) recovery and how to simulate this process using STARS. After the review of basic concepts the course will provide detailed instruction on the complexities of simulating this extensively used bitumen recovery process. From laboratory design to actual fi eld implementation, using the proper numerical simulation technology will greatly enhance the planning and operation of a successful SAGD implementation. CMG s builder/results software will be used extensively to create, modify, and analyze simulation datasets and their results. participants will learn when/how to use sink-source wells (with heaters and heater wells) as well as the very robust Flexible Wellbore (FlexWell) in modelling circulation and SAGD phases. The use of CMG s Semi Analytical wellbore Model (SAM) will also be discussed and applied to assist in calculation of heat and frictional losses in wellbores. Dataset optimization and tuning will also be discussed with practice on a single well pair model. hands-on exercises and examples will be included to assist participants in building a series of typical SAGD simulation datasets. WhO ShOulD ATTeND This four-day course is designed for engineers, geologists or other technical personnel who would like to learn the details or enhance their knowledge of SAGD simulation using CMG s advanced process and thermal simulator STARS. basic CMG builder/results skills and an understanding of CMG s STARS application are required to maximize your understanding of the SAGD simulation course material. COuRSe CONTeNT General STARS simulator features and applications SAGD process review and key aspects of the design building of a K-value fl uid model in CMG s Winprop software (based on tuning of an equation-of-state to laboratory data) and its implementation in the creation of a STARS SAGD dataset building STARS dataset for SAGD using simple and advanced approaches Sink/source well, FlexWell, and SAM applications 2D and 3D examples are created and utilized Incorporation of geological features into full fi eld models Results analysis using Results Graph, Results 3D, and subsequent tuning of simulation runs Dynamic gridding (DynaGrid) and SAGD parallelization es-sagd, what to look for and how to incorporate into STARS 24

30 THERMAL AND ADVANCED PROCESSES SIMULATION NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA 5-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) INTRODUCTION TO THERMAL EOR SIMULATION (pg.23) NEXT STEPS ADVANCED WELLBORE MODELLING (pg.26) GEOMECHANICS (pg.27) ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) ADVANCED FEATURES IN BUILDER & RESULTS (pg.8) NUMERICAL TUNING TECHNIQUES (pg.30) PHASE BEHAVIOUR MODELLING AND PVT CREATION (pg.33) FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE ABOUT THE COURSE The course will review the basic concepts of enhanced oil recovery using thermal processes and how to simulate them by using STARS. After the review of basic concepts, the course will provide detailed instruction on the complexities of simulating these extensively used oil recovery processes. During the course, participants will receive detailed instruction on the STARS fl uid model and the phenomena involved in thermal recovery process and how to represent them in a simulation model. Participants will have the opportunity to generate a simulation model for each of the studied processes and analyze and visualize the results of each case. CMG s Builder/Results software will be used extensively to create, modify, and analyze simulation datasets and their results. Paradyne (Dynamic Gridding + Parallel Processing) will be used to effi ciently reduce the simulation run times when using STARS. WHO SHOULD ATTEND This fi ve day course is designed for engineers, geologists or other technical personnel who would like to learn about the details or enhance their knowledge on simulation of thermal processes such as: CSS, Steam Flooding, SAGD, ES-SAGD and Air Injection using CMG s Advanced Process and Thermal Simulator, STARS. Participants should have basic Builder/Results skills and/or experience using STARS to maximize your understanding of the thermal simulation course material. COURSE CONTENT General STARS simulator features and applications Thermal processes review and key aspects of the design Building a black oil simulation fi le and convert it into thermal simulation model (K-values) Building simulation cases for CSS, Steam Flooding, SAGD & ES-SAGD cases Building an In Situ Combustion model by using Builder (Wizard) Detailed explanation for the fl uid model representation in STARS Sink/source well, discretized well and Semi Analytical wellbore Model (SAM) Sensibility analysis for parameters to consider when doing thermal simulation models Results analysis using graphs, 3D and tuning of simulation runs Dynamic gridding (DynaGrid) and SAGD run parallelization 25

31 ADvANCeD WellbORe MODellING 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS SAGD SIMulATION (pg.24) GeOMeChANICS (pg.27) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.30) phase behaviour MODellING AND pvt CReATION (pg.33) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe This course focuses on advanced wellbore modeling capabilities in STARS. FlexWell, which is a fully-coupled implicit wellbore model can accurately calculate the pressure and fl ow profi les in the wellbore and accurately handle the infl ow/ outfl ow between the wellbore and the reservoir. Flexwell is designed to model accurately the fl uid pressure transience in the wellbore, fl ow rates, fl owing liquid fractions, fl owing gas fractions, subcools, phase density, and gravity segregation etc. for each wellbore segment. It can handle accurate well trajectories and can model numerous wellbore confi gurations (including concentric tubulars, etc.) commonly used in the industry. This course will use Flexwell to model circulation, start up and SAGD phase using a typical bitumen reservoir model. effect of various wellbore confi gurations on production will be analyzed. Comparative analysis of different types of wellbore models available in STARS and its impact on the SAGD well performance will be performed. WhO ShOulD ATTeND This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn about advanced wellbore modelling in CMG s STARS simulator. expertise using CMG simulator functions is required to learn FlexWell and SAM features and applications. COuRSe CONTeNT Overview of general STARS simulator features and applications Steam properties overview basic theory on FlexWell and SAM in STARS how to set FlexWell and SAM defi nitions/keywords in the STARS dataset directly and through CMG s builder application practical exercises using FlexWell and SAM to model thermal recovery processes including SAGD 26

32 GeOMeChANICS 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS SAGD SIMulATION (pg.24) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.30) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe Attendees will learn the geomechanical concepts from simple dilation/compaction table input to complex fi nite element strain/stress approaches. Attendees should be familiar with basic simulation work and have some practical experience in black oil, compositional, or thermal simulation. Stress-related phenomenon will be discussed including rock deformation and subsidence. Caprock integrity and modelling of caprock failures will be discussed and illustrated. Simple elasto-plastic yield to more complex cap models will be explained and demonstrated. Single well to full fi eld examples of geomechanics simulation in GeM and STARS will be illustrated. Analysis of the simulation runs will be performed to have a better understanding of these geomechanical features. This course will provide participants with enough information and techniques to build a complex reservoir simulation dataset with geomechanical effects and explore the more complex functions of GeM and STARS simulators. WhO ShOulD ATTeND This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn the geomechanical features in CMG s GeM and STARS simulators. basic knowledge of CMG simulator functions is required to learn the geomechanical features and applications. COuRSe CONTeNT GeM and STARS simulator geomechanics features and applications including application of geomechanical coupling to the simulators Simple dilation/compaction table input, application and limitation Concepts of complex stress-strain relationship, yielding criteria, linear elasticity, non-linear elasticity (hypoelastic and hyperelastic), elasto-plastic behaviour and associated constitutive models (Mohr-Coulomb and Drucker prager), and Generalized plasticity Keywords used in geomechanical models in GeM & STARS example models of modelling caprock integrity in thermal simulation and CO 2 sequestration simulation for saline aquifers Review of builder & Results to input and analyze simulation data Implementation of a separate Geomechanical Grid (GeoGrid) use of post-process geomechanic capabilities (running geomechanics on a previously ran reservoir model) Other example simulation models related to geomechanical features in GeM and STARS applications 27

33 CheMICAl eor SIMulATION 3-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS* (pg.35) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.30) * Recommended prerequisite, not mandatory for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe The course will introduce the basic concepts of chemical fl ooding and how to simulate this process using the advanced reservoir simulator STARS. The topics will progress from laboratory design through simulations to fi eld implementation. Combining laboratory evaluations with the proper numerical simulation technology will greatly enhance the planning of a successful chemical fl ooding process. CMG s builder and Results packages will be used extensively to create, modify data, and analyze the results. hands-on exercises from laboratory matching to fi eld-scale simulation will be included to assist users in building a typical chemical fl ooding dataset. WhO ShOulD ATTeND This three-day course is designed for engineers, geologists, or other technical personnel who would like to learn about the details of chemical fl ooding simulation with alkaline, surfactants, and/or polymers (ASp) using CMG s advanced process and thermal simulator STARS. participants should have basic CMG builder & Results skills and/or experience using CMG s STARS to maximize understanding of the processes. COuRSe CONTeNT basic theory of chemical fl ooding Concepts of laboratory evaluations Water/oil relative permeability curve changes (interpolation based on composition) phase behaviour and interfacial tension lowering Corefl ood design and evaluation Construct a STARS simulation dataset to history match an actual laboratory experiment of an ASp core fl ood use of CMOST, CMG s assisted history matching tool, to match the ASp core fl ood experiment Scale up to fi eld size simulation models 28

34 CHEMICAL FLOODING NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA 5-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) INTRODUCTION TO THERMAL EOR SIMULATION (pg.23) NEXT STEPS ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) ADVANCED FEATURES IN BUILDER & RESULTS (pg.8) FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE ood ABOUT THE COURSE The course will introduce the basic concepts of chemical fl ooding and how to simulate this process using the advanced reservoir simulator STARS. The topics will progress from laboratory design through simulation to fi eld implementation. Combining laboratory evaluations with the proper numerical simulation technology will greatly enhance the planning of a successful chemical fl ooding process. Individuals should have some practical numerical simulation experience using a reservoir simulator. CMG s Builder and Results packages will be used extensively to create, modify data, and analyze the results. Hands on exercises from laboratory matching through to fi eld scale simulation will be included to assist users in building a typical chemical fl ooding dataset. WHO SHOULD ATTEND This fi ve day course is designed for engineers, geologists or other technical personnel who would like to learn about chemical fl ooding simulation with gels, foams, alkaline, surfactants and/or polymers using CMG s advanced process and thermal simulator STARS. Participants should have basic CMG Builder/Results skills and/or experience using CMG s STARS to maximize your understanding of the processes. COURSE CONTENT Introduction to the approximation of K value from the fl uid model representation in STARS Most relevant/important theoretical aspect of the chemical injection: Alkali, Surfactant, Polymers (ASP), gels and foams. Application/simulation of these processes using STARS Generating and comparing cases of injection of polymers/gels History Match techniques for a 2D model from a core fl ooding with laboratory data Scaling of a laboratory core fl ood in a 2D model to a fi eld scale model Generating a simple model for a foam injection case 29

35 NuMeRICAl TuNING TeChNIqueS FOR CMG SIMulATORS 1-DAy prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) INTRODuCTION TO TheRMAl eor SIMulATION (pg.23) NeXT STepS ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS (pg.35) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) AbOuT The COuRSe The course will introduce concepts of CMG simulators - IMeX, GeM, STARS - with emphasis on numerical tuning and diagnosis of numerical problems. The individual should be familiar with CMG simulation work and have some practical experience in simulation. Specifi c analysis techniques - such as analyzing the numerical output parameters, fi ne tuning of the input data, diagnosis of small time-step problems, and non-convergence - for CMG simulator outputs will be examined. CMG s builder/results software will be used extensively to modify data and analyze results. A hands-on exercise will be included to help users debug data fi les. The course will provide a participant enough information and techniques to fi ne tune and adjust their own dataset and improve the performance of more complicated simulation processes. Key factors in tuning and managing dynamic gridding and parallelization will also be discussed. WhO ShOulD ATTeND This one-day course is designed for engineers, geologists, or other technical personnel who would like to learn more about the numerical tuning techniques for CMG simulators with emphasis on the advanced processes and thermal simulator, STARS. basic CMG builder/results skills are required to learn the numerical tuning of CMG simulator applications. for CUrrENT schedule scan ThE CoDE online registration Now available COuRSe CONTeNT CMG simulator numerical features What to look for when numerical problems occur how to fi ne-tune the dataset by analyzing the output numerical variables Which parameters in the numerical section are more sensitive than others Systematic approach in solving numerical problems and improving calculation effi ciency Reviewing of datasets before and after numerical tuning hints on getting the most out of dynamic gridding and parallelization (including defi ning of custom planes) 30

36 MODELLING OF CARBONATE NATURALLY FRACTURED RESERVOIRS 3-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) INTRODUCTION TO THERMAL EOR SIMULATION (pg.23) NEXT STEPS PHASE BEHAVIOUR MODELLING AND PVT CREATION (pg.33) ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS (pg.35) ADVANCED WELLBORE MODELLING (pg.26) NUMERICAL TUNING TECHNIQUES (pg.30) FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE ABOUT THE COURSE The course will start by covering the geological aspects of carbonate fractured reservoirs, NFRs, in terms of matrix and fractures characterization and determination of its intrinsic and effective properties needed for reservoir modelling. The course will explore the concepts of Wettability, Pc and Kr curves of carbonate reservoirs. Based on the type of the Carbonate NFR, the course demonstrates the modelling of oil recovery process via dual continua modelling with its variations depending on secondary and tertiary recovery method. The application of these models will be demonstrated through practical tutorials addressing the variable oil recovery mechanisms. CMG s Builder/Results software will be used extensively to create, modify, and analyze simulation datasets and their results. Participants will learn on how to setup and design modelling data sets using IMEX, GEM and STARS of dual porosity, MINC, Subdomain, dual permeability and SD-DK problems. WHO SHOULD ATTEND This three-day course is designed for engineers, geologists or other technical personnel who would like to learn the details or enhance their knowledge of modelling of Carbonate Naturally Fractured Reservoirs with CMG s Black Oil Simulator, IMEX, Geochemical EOS Compositional Simulator, GEM, and Advanced Process and Thermal Simulator, STARS. Basic CMG Builder/ Results skills and an understanding of CMG s Black Oil, Compositional and Thermal simulation is required. COURSE CONTENT Characterization of Carbonate Naturally Fractured Reservoirs Characterization of Fractures Intrinsic vs. Effective properties Wettability, Pc and Kr curves of Carbonate Reservoirs Types and Identifi cation of Naturally Fractured Reservoirs Modelling of Carbonate Naturally Fractured Reservoirs Single vs Dual Continua Modelling Standard Dual Porosity Model Modelling of Matrix-Fracture Transfer Function Recovery Mechanisms of Carbonate Naturally Fractured Reservoirs Displacement Mechanisms Gravity Drainage in O-W and G-O Systems Capillary Forces in O-W and G-O Systems Combination of Gravity and Capillary Forces Viscous and Diffusion Displacement in Naturally Fractured Reservoirs Enhancement of Dual Porosity Modelling Multiple Interacting Continua Dual Porosity Modelling Subdomain or Vertical Refi nement Dual Porosity Modelling Dual porosity-dual permeability modelling Subdomain Dual Permeability Modelling with and Without Reinfi ltration. Thermal Recovery of Carbonate Naturally Fractured Reservoirs Alberta Untapped Carbonate Recourses Effect of Temperature on IFT, Wettability, Pc and Relative Permeability Oil Recovery Mechanisms During Steam Flooding Carbonate Reservoirs Application of Steam injection in Carbonate Reservoirs. 31

37 WINpROp, phase-behaviour & FluID property program Winprop, an equation of State (eos) engineering tool, clarifi es property distribution within the reservoir fl uid system under various depletion scenarios, and the interaction with injected fl uids, from small scale lab experiments to large scale fi eld projects. Winprop is a fl uid property characterization application for creating tuned fl uid property descriptions for IMeX, GeM and STARS. Winprop accurately characterizes reservoir fl uid systems through matching or laboratory pvt experiments; miscibility studies; wax prediction and asphaltene deposition; and surface separation facility simulation. Winprop incorporates a user friendly graphical interface that makes preparing data and interpreting results more effective and effi cient. benefits Tune eos to accurately model your lab experiments & predict fl uid behaviour Improve understanding of reservoir exploitation process ApplICATIONS laboratory analysis eos parameter regression Simulator fl uid sections Reservoir fl uid characterization Miscibility prediction WhAT STuDeNTS ARe SAyING... The course material is well planned, very informative (phase behaviour Modelling & pvt Creation using Winprop, September 2012) The instructor did a great job explaining portions of theoretical aspects of this course (EoS, EOR processes, PVT modelling ). I also found the exercises to be quite helpful (phase behaviour Modelling & pvt Creation using Winprop, January 2012) 32

38 phase behaviour MODellING AND pvt CReATION 2-DAyS prerequisites NONe NeXT STepS GeOCheMISTRy (pg.18) CO 2 SequeSTRATION SIMulATION (pg. 19) ADvANCeD FeATuReS IN builder & ReSulTS (pg.8) NuMeRICAl TuNING TeChNIqueS (pg.30) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe This course will discuss techniques for characterizing the heavy end of a petroleum fl uid, lumping of components, matching laboratory pvt data through regression, simulation of fi rst and multiple contact miscibility, and phase diagram generation. This course will present a comprehensive description of the steps involved in tuning an eos to obtain a fl uid model suitable for inclusion in CMG s GeM, STARS, or IMeX simulator datasets. participants will learn how to use laboratory measured data to tune the eos for use in reservoir simulation. All this will be followed by discussions on the analysis of the results generated by Winprop. WhO ShOulD ATTeND This two-day course is for engineers or other technical personnel who would like to use Winprop to predict phase behaviour of reservoir fl uids as well as characterize these fl uids for reservoir simulation. enhanced oil recovery background and some knowledge of phase behaviour modelling are required. COuRSe CONTeNT pvt lab experiment matching using regression technique. using tuned eos to create pvt data fi le for IMeX, GeM and STARS simulators. Introduction to Winprop to be used as phase behaviour calculations Techniques in splitting, lumping and grouping of heavier hydrocarbons use of Multi-phase Flash calculations and creation of phase envelopes Matching of various laboratory experiments and eos tuning by regression, including: Saturation pressure Gas-Oil Ratio (GOR) Swelling Test Determination of Minimum Miscibility pressure (MMp) and Multi-Contact Miscibility (MCM) Differential liberation (Dl) and Constant Composition expansion (CCe) viscosity as a function of pressure and/or Temperature Output of different Fluid Model types for black-oil (IMeX), K-value (STARS), and Compositional (GeM) 33

39 CMOST, enhance & ACCeleRATe SeNSITIvITy ANAlySIS, history MATChING, OpTIMIzATION & uncertainty ANAlySIS CMOST, in conjunction with CMG reservoir simulators, enhances and accelerates the four key tasks of reservoir simulation: sensitivity analysis; history matching; optimization; and uncertainty assessment. Done properly, the results from these four tasks will dramatically increase confi dence in the simulation model. CMOST uses experimental design (ed) methodologies and algorithms to automatically build, run and analyze simulations built for IMeX, GeM and STARS. benefits Optimize Npv through reservoir uncertainty Increase confi dence in forecasts Increase asset team effectiveness through optimization Improves effi ciency of reservoir engineers Create more accurate models in dramatically less time Optimize a fi eld development plan with reduced time Speed up history matching quantify uncertainty and sensitivity ApplICATIONS Sensitivity Analysis history matching uncertainty Assessment Optimization WhAT STuDeNTS ARe SAyING... With all the time you could save effi ciently using CMOST, it becomes a powerful tool (Assisted history Matching, Optimization & uncertainty Analysis, August 2011) Going through each type of task for CMOST, I am able to look at the program more as a whole and understand how they relate together (Assisted history Matching, Optimization & uncertainty Analysis, August 2011) Use of live examples and hands on techniques were useful. Ability to show applicability and knowledge base of the instructor was also impressive (Assisted history Matching, Optimization & uncertainty Analysis, April 2011) 34

40 ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS 2-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) NeXT STepS SIMulATION OF ShAle, TIGhT OIl & GAS ReSeRvOIRS (pg.13) CbM SIMulATION (pg.14) CO 2 eor SIMulATION (pg.15) CheMICAl eor SIMulATION (pg.28) for CUrrENT schedule scan ThE CoDE online registration Now available AbOuT The COuRSe CMOST is CMG s assisted history Matching, Optimization, Sensitivity Analysis, and uncertainty Assessment software which has been designed to work with all of CMG s reservoir simulation products. This course introduces the participant to these four components of CMOST, from a practical, applied approach. The theoretical basis of optimization algorithms is introduced with the focus being on the application of the software to real world problems. WhO ShOulD ATTeND This two-day course is for the experienced reservoir simulation engineer or other technical personnel who would like to learn the techniques of history Matching, Optimization, Sensitivity Analysis, and uncertainty Assessment. The knowledge of how to use all of CMG s reservoir simulation products - IMeX, GeM, STARS - is a prerequisite. participants should be familiar with using CMG s builder/results software. COuRSe CONTeNT Introduction to the four components of CMOST Sensitivity analysis history matching Optimization uncertainty assessment Introduction to the CMOST Studio, explain how to create the CMOST data fi les, i.e. master data set, and task fi le exercises which demonstrate each of the four CMOST components Discussion on experimental design theory and implemented correlations Optimization by way of a classic approach (running of different datasets determined by experimental design) Optimization by way of a proxy-modeling approach 35

41 ASSISTED HISTORY MATCHING, OPTIMIZATION & UNCERTAINTY ANALYSIS USING STARS NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA 3-DAYS PREREQUISITES INTRODUCTION TO CMG S SIMULATION WORKFLOWS (pg.7) NEXT STEPS INTRODUCTION TO THERMAL EOR SIMULATION (pg.23) ABOUT THE COURSE During this course the participants will create a Black Oil simulation model using the pre-processing tool, Builder. They will perform a sensitivity analysis using some reservoir parameters that allows the fi nal selection of the best options for applying an assisted history match process with CMOST. The participants will perform a conversion of this history matched black oil case to a STARS thermal model (K values). At the end, the participants will use the Optimization function options available in CMOST for selecting the best strategy for the application of a CSS at the reservoir model. WHO SHOULD ATTEND This three day course is for the experienced reservoir simulation engineers or other technical personnel who would like to learn the techniques of Sensitivity Analysis, History Matching, Optimization, and Uncertainty Assessment and also its applicability in a thermal simulation model using STARS. Participants should be familiar with using CMG s Builder/Results software. COURSE CONTENT Building a simulation model by using Builder: Import Rescue Model, PVT, SCAL, Recurrent Data, etc. Introduction to the four components of the CMOST: Sensitivity analysis, History matching, Optimization & Uncertainty assessment Introduction to the CMOST Studio, explain how to create the CMOST data fi les, i.e. master data set, and task fi le Using the Builder options for generating automatic cyclic injection Conversion of a Black Oil model into a STARS model (K value) Optimizing a Cyclic Steam Stimulation case by using CMOST Analyze/Visualize results from the optimized thermal model FOR CURRENT SCHEDULE SCAN THE CODE ONLINE REGISTRATION NOW AVAILABLE 36

42 ASSISTeD history MATChING, OpTIMIzATION & uncertainty ANAlySIS using IMeX NOTe: ThIS COuRSe IS ONly AvAIlAble IN venezuela 3-DAyS prerequisites INTRODuCTION TO CMG S SIMulATION WORKFlOWS (pg.7) AbOuT The COuRSe During this course the participants will create a black Oil simulation model using the pre-processing tool, builder. They would perform a sensitivity analysis using some reservoir parameters that allows the fi nal selection of the best option for applying an assisted history match process with CMOST. At the end, an Optimization would be applied to the forecast in order to select the optimum operating strategy for the application of an alternate water and gas injection process (WAG). WhO ShOulD ATTeND This three day course is for the experienced reservoir simulation engineers or other technical personnel who would like to learn the techniques of Sensitivity Analysis, history Matching, Optimization, and uncertainty Assessment. participants should be familiar with using CMG s builder/results software. for CUrrENT schedule scan ThE CoDE online registration Now available COuRSe CONTeNT Create a simulation model using the black oil pre processor builder: Import a geological model in Rescue formats, include information of fl uids, fl uids and rock recurring data available Introduction to the four components of the CMOST: Sensitivity analysis, history matching, Optimization & uncertainty assessment Introduction to the CMOST Studio, explain how to create the CMOST data fi les, i.e. master data set, and task fi le perform a sensitivity analysis on reservoir parameters and later assisted history matching using CMOST Generating a restart of the simulation to proceed to make predictions Generating a WAG process using the automated injection cycles in builder use available CMOST Optimization feature to generate the optimal strategy for implementing WAG use the options available in Results Graph and Results 3D to analyze / visualize the results exercise and tutorial 37

43 custom training courses Air Injection Simulation This course will review the basic concepts of the In Situ Combustion recovery process and its simulation using STARS. After the review of basic concepts, the course will provide detailed instruction on the complexities associated with modelling this process. CMG s Builder/Results software will be used extensively to create, modify, and analyze simulation datasets and their results. Combustion reaction kinetics with examples using the In-situ combustion wizard in Builder will be discussed. Hands on exercises and examples will be included to assist participants in building combustion tube experiments and field scale combustion models for both heavy and light oil reservoirs. Gas Hydrate Simulation USING STARS This course will review the basic concepts of Gas Hydrates with emphasis on gas hydrate simulation in porous media. Phase behaviour of gas hydrates, kinetics of formation and dissociation of gas hydrates, gas hydrates distribution in porous media and its effects on reservoir properties (porosity/permeability) as it forms or dissociates will be discussed. Simulation models for different recovery methods like depressurization and hot water cycling etc. will be constructed and analyzed using hands-on examples in STARS. Asphaltene Modelling This course covers the phase behaviour and numerical modelling of asphaltenes using GEM and STARS. Fluids are first characterized with the use of CMG s fluid modelling package WinProp to match data from laboratory experiments. The course then guides the user through the process of transferring the fluid model into the simulation model. Additional simulation scenarios and case studies are performed and analyzed to see the effects of asphaltene flocculation, deposition and permeability reduction etc. using the STARS models. Foamy Oil Simulation This course covers an overview and basic concepts of foamy oil fluid behaviour. The mathematical framework for modelling this behaviour using a numerical simulator and comparison with experimental data will be discussed. The three approaches of modelling foamy oil (i.e. Psuedo single phase model, two phase model and the kinetic model) will be discussed in detail. Real field case studies will be used to illustrate the foamy oil modelling concepts. Students are guided through the process of matching simulation results to laboratory data then going from laboratory size simulation to full field simulation using STARS. Fines Migration Simulation The pores of reservoir rocks often have small clay particles attached to their walls. These particles are harmless as long as they stay there. If a change in chemical properties of the pore fluid makes them lose their grip, a rapid degradation of permeability may occur. In serious cases, the increased pressure gradients near the well caused by the permeability reduction may generate stress fields high enough to fracture the rocks. Migration is caused by a change in ionic strength of the water in the pores, or mechanical dislodgement due to drag forces exerted on the particles. This course covers an overview of fines migration behaviour. Concepts such as wettability shift due to temperature changes are also discussed. A numerical method of modelling the effect of fines plugging and wettability shift is explored with hands on examples. Reservoir Simulation Fundamentals Note: This course is only available in HOUSTON The course s primary focus is on simulation fundamentals, capabilities, and weaknesses but the student should be able to write their own simple 1D or 2D black oil simulator by the end of the class. The course covers the basic equations for single phase flow, mass balances, Darcy s law, and the Diffusivity equation. Numerical, finite difference techniques for solving these equations are then presented with an emphasis on implicit versus explicit techniques and methods for solving systems of the linear and nonlinear equations that arise. Several interactive, hands on examples are completed in class. Multiphase flow equations, formation volume factors, PVT and phase behaviour, petrophysical relationships, and well models are reviewed. Methods for solving these equations (IMPES and Fully Implicit) are introduced with more hands on examples. Finally, a number of special topics are discussed including compositional models, natural and hydraulic fractures, history matching, the finite element method, and stability. Instructor: Matt Balhoff, Assistant Professor of Petroleum Engineering, UT Austin 38

44 39

45 INSTRUCTORS 423 years combined reservoir simulation experience PhD 4 Masters15 Bachelor of Science 9 Other 3 Anjani Kumar, Calgary Anjani, Manager Consulting, Support and Training, has over 12 years of reservoir engineering experience both in the field and at CMG. Anjani is an expert in heavy oil recovery processes, chemical EOR and unconventional oil and gas reservoir simulation. He holds a Master of Science, Chemical Engineering from the University of Calgary and a Bachelor of Technology, Petroleum Engineering from the Indian School of Mines. Anjani and his team are responsible for providing unparalleled support to our customers in the Consulting, Support and Training department. Fraser Skoreyko, Dubai Fraser, Chief Reservoir Engineer Major Projects, has over 30 years of industry experience, with a particular expertise in heavy oil and enhanced oil recovery reservoir simulation. Fraser s knowledge and expertise is vast; however, he is focused on chemical EOR, steam flooding, and in situ combustion. Fraser holds a Bachelor of Science, Mechanical Engineering from the University of Calgary. Throughout his 20 year career at CMG, Fraser remains focused on providing technical expertise and guidance on customer field study projects. Allan Hiebert, Calgary Allan, an Advisory Engineer, brings over 25 years of CMG experience to the consulting, support and training team. Allan is an expert in pre- and post-processing and the simulation of electrical and steam EOR processes. He holds a PhD, Master of Science and a Bachelor of Science, all in Electrical Engineering from the University of Alberta, plus an MBA from the University of Manitoba. Throughout his career at CMG, Allan has been integral to the development of Builder and Results and significantly contributed to the development of DRMS, the next generation reservoir simulation platform. Abe Doroudi, Dubai Abe, Regional Manager Central Africa, has 25 years of reservoir simulation experience. Abe specializes in thermal and chemical EOR processes. He holds a Master s of Science, Industrial Engineering and two Bachelor of Science degrees in Petroleum Engineering and Mathematics. Abe currently manages all technical services for the Middle East region and conducts public and customized training at various locations throughout the Eastern Hemisphere. ADRIAN THOMAS, Calgary Adrian, a Reservoir Simulation Engineer, has over six years industry experience. Adrian is specializing in unconventional gas (tight gas, shale gas & liquids rich), hydraulic fracturing and reserves evaluation. He holds a Bachelor of Science, Oil and Gas Engineering from the University of Calgary. Alex Novlesky, Calgary Alex, a Reservoir Simulation Engineer, is an expert in the simulation of unconventional oil or gas (CBM, shale & tight), hydraulic fracturing, microseismic, optimization and uncertainty analysis. He holds a Bachelor of Science, Oil & Gas Engineering degree from the University of Calgary. Alex started with CMG in the visualization team, assisting with the development and testing of Builder, Results, CMOST and Launcher before joining the Consulting, Support and Training team. Alex is currently the training coordinator for the Calgary office. Alireza Qazvini Firouz, Calgary Alireza, a Reservoir Simulation Engineer, recently joined CMG and brings over six years of oil and gas experience to the company. Alireza specializes in PVT modelling, SAGD recovery processes and compositional simulation. He holds a Master of Science, Petroleum Systems Engineering, from the University of Regina and a Bachelor of Applied Science, Petroleum Engineering, from the Petroleum University of Technology in Iran. Amir Moradi, Dubai Amir, a Reservoir Simulation Engineer, has over 10 years of reservoir engineering experience, both in the field and at CMG. Amir s expertise lies in advanced thermal EOR processes (steam flooding, CSS, SAGD, ES-SAGD) and PVT analysis. He holds a Master of Engineering, Reservoir Engineering from the University of Calgary and a Bachelor of Science, Mining Engineering from Azad University in Iran. Amin Badamchizadeh, Calgary Amin, a Senior Reservoir Simulation Engineer, is an expert in the simulation of heavy oil and bitumen recovery techniques, enhanced oil recovery, advanced wellbore modelling, asphaltene precipitation and phase behaviour modelling. He holds a PhD in Petroleum Reservoir Engineering and Master of Engineering, Petroleum Reservoir Engineering, both from the University of Calgary. In addition, he holds a Bachelor of Science, Chemical Engineering from the Sahand University of Technology in Iran. Argenis Alvarez, Bogota Argenis, a Reservoir Simulation Engineer, recently joined CMG and brings over 12 years of industry experience in medium and heavy oil simulation to the company. Argenis specializes in thermal EOR processes, cyclic steam stimulation (CSS), steam flooding, and in-situ combustion. He holds a Bachelor of Science, Petroleum Engineering and an Integrated Reservoir Management Specialist degree, both from the Universidad Central de Venezuela. Arnaldo VeLasquez, Caracas Arnaldo, a Reservoir Simulation Engineer, has eight years experience providing support and training throughout Latin America and the Caribbean, with a particular expertise in heavy oil reservoir simulation. Arnaldo specializes in thermal EOR processes, CSS, steam flooding, in situ combustion, chemical EOR and geomechanics. He holds a Bachelor of Science, Petroleum Engineering from the Universidad de Oriente in Venezuela. 40

46 INSTRUCTORS Bob Brugman, Houston Bob, a Senior Reservoir Simulation Engineer, has over 30 years of industry experience, with a specialty in enhanced oil recovery simulation. Bob s expertise encompasses primary recovery processes, and compositional simulation. He holds a PhD and Master of Science both in Chemical Engineering from the University of Florida and a Bachelor of Science, Chemical Engineering from the University of North Dakota. Carlos Granado, Caracas Carlos, Manager Venezuela and Trinidad, has over 15 years of industry experience, both in the field and at CMG. Carlos expertise includes reservoir characterization and thermal recovery processes, including CSS and steam flooding. He holds a Master of Science, Reservoir Evaluation and Management from Heriot Watt University and a Bachelor of Science, Petroleum Engineering from the Universidad Central de Venezuela. Carlos applies his extensive experience in heavy oil reservoir simulation and fluid characterization to provide unparalleled support and training to his customers. COLIN CARD, Calgary Colin, a Senior Advisor CST, has over 45 years of industry experience. Throughout his career, Colin has worked at a Super Major, a Major Independent, CMG while also balancing an Adjunct Professor role at the University of Calgary. Colin s knowledge and expertise is vast; however, he is focused on thermal recovery processes, numerical tuning, wellbore modelling, and geological model optimization. He holds a Bachelor of Science, Chemical Engineering and a Ph.D, Chemical Engineering both from the University College of Swansea, Wales. Dwarak Uthayashankar, Dubai Dwarak, a Reservoir Simulation Engineer, has over five years industry experience, both in the field and at CMG. Dwarak specializes in advanced wellbore modelling, thermal recovery processes, unconventional reservoirs (CBM), chemical flooding, numerical tuning and steam flooding. He holds a Master of Science, Petroleum Engineering from Heriot Watt University and a Bachelor of Technology, Applied Petroleum Engineering from the University of Petroleum and Energy Studies in India. Erykah Bityutsky, Dubai Erykah, a Reservoir Simulation Engineer, started her oil and gas career with CMG in Calgary. She now brings her expertise in primary recovery, SAGD, steam flooding, advanced wellbore modelling, heavy oil reservoir simulation, optimization and uncertainty analysis to customers in the Eastern Hemisphere. She holds a Bachelor of Science, Oil and Gas Engineering from the University of Calgary. Gary Lifshits, Calgary Gary, a Reservoir Simulation Engineer, recently joined CMG and brings a background in consulting support to customers working on heavy oil waterflood projects. Gary is specializing in the simulation of SAGD and thermal recovery processes. He holds a Bachelor of Science, Mechanical Engineering from the University of Calgary. Helen Ha, Calgary Helen, a Reservoir Simulation Engineer, recently joined CMG and brings over four years of industry experience in enhanced oil recovery simulation. Helen is a specialist in thermal recovery processes, chemical EOR simulation and optimization. She holds a Bachelor of Science, Chemical Engineering, with a minor in Petroleum Engineering, from the University of Calgary. Jeremy Walter, Calgary Jeremy, a Reservoir Simulation Engineer, has close to five years of industry experience, with a particular focus on SAGD and thermal simulation for heavy oil reservoirs, geomechanics, CO 2 EOR recovery processes, CO 2 sequestration and optimization. Jeremy has used his expertise in these areas to develop many of the current training courses CMG offers. He holds a Bachelor of Science, Petroleum Engineering from the Colorado School of Mines. Juan Mateo, Rio de Janeiro Juan, a Reservoir Simulation Engineer, has 20 years of industry experience, both in the field and at CMG, with a particular emphasis on the simulation of thermal enhanced oil recovery techniques. He holds a Master of Science, Science and Petroleum Engineering from the State University of Campinas in Brazil and a Master of Science, Petroleum Engineering from the Russian State University. Juan Carlos VILLAR, Caracas Juan Carlos, a Reservoir Simulation Engineer, has 14 years of industry experience, both in the field and at CMG, with a particular focus on numerical simulation. Juan s expertise lies in thermal EOR processes, CSS, steam flooding, insitu combustion, chemical EOR and geomechanics. He holds a Master of Engineering, Integrated Reservoir Management and a Bachelor of Science, Petroleum Engineering, both from the Universidad Central de Venezuela. Kanhaiyalal Patel (K.P.), Houston KP, a Reservoir Simulation Engineer, has over eight years of industry experience, with a particular focus on unconventional gas on unconventional gas reservoir simulation and fracture modelling design. His expertise encompasses primary recovery processes, waterflooding, optimization, shale and tight oil and gas. He holds a Master of Science, Petroleum Engineering from the University of Alaska and a Bachelor of Science, Petrochemical Engineering from the Dr. Babasaheb Ambedkar Technological University in India. 41

47 INSTRUCTORS Khayyam Farzullayev, Dubai Khayyam, a Reservoir Simulation Engineer, has over eight years of industry experience working as a reservoir engineer for an operator throughout Europe. He holds a Master of Science, Petroleum/Reservoir Engineering from the Norwegian University of Science and Technology and a Bachelor of Science, Petroleum/Reservoir Engineering from the Azerbaijan State Oil Academy. Marco Misenta, London Marco, a Reservoir Simulation Engineer, has over six years of industry experience working as a reservoir engineer throughout Europe, with a particular focus on unconventional reservoir studies. His expertise encompasses thermal recovery studies for heavy and extra heavy oil fields. He holds a Master of Science in Physics from the Universita degli Studi dell Insubria in Italy. Oscar Cortes Martinez, Calgary Oscar, a Senior Petroleum Engineer, brings over 15 years of industry experience, working with a national oil company to CMG. Oscar s expertise includes clastic and carbonate fractured reservoirs, simulation of chemical EOR projects, CSS and steam flooding. He holds a Master of Science, Petroleum Engineering and a Bachelor of Science, Petroleum Engineering both from the National University of Mexico. Sergio Cilento, Caracas Sergio, a Reservoir Simulation Engineer, has 15 years of industry experience working in Latin America with a particular focus on the simulation of thermal heavy oil projects including CSS, steam flooding, in situ combustion, chemical EOR and geomechanics. He holds a Master of Science, Exploration and Production from the Instituto Superior de la Engeria in Spain, in conjunction with his Masters, Sergio has a Geology Mention from Heriot Watt University. In addition, he has a Bachelor of Science, Petroleum Engineering from the Universidad Central de Venezuela. Shawket Ghedan, Calgary Shawket, a Reservoir Simulation Engineer Advisor, has extensive industry experience working at the Petroleum Institute, a national oil company, and an oilfield service company. Shawket s expertise encompasses reservoir characterization, waterflooding, carbonate fractured reservoirs, CO 2 compositional simulation, chemical flooding and recovery from tight formations. He holds a PhD in Reservoir Engineering, and a Master of Engineering, Reservoir Engineering both from the Colorado School of Mines and a Bachelor of Science, Petroleum and Minerals Engineering from the University of Baghdad. Shawket was an SPE Distinguished Lecturer ( ), and received the SPE MENA Reservoir Description and Dynamics Award (2009), the SPE Outstanding Editor award (2010), and the SPE MENA Distinguished Petroleum Engineering Faculty award (2011). Thanh Nguyen, Houston Thanh, a Reservoir Simulation Engineer, has over 10 years of industry experience working with NOCs throughout Asia and the USA. Thanh specializes in geomechanics, chemical EOR and optimization. Thanh holds a Bachelor of Science, Civil Engineering from the University of Ho Chi Minh in Vietnam, a Master of Science, Petroleum Engineering from the University of Tulsa. He s currently working on his PhD, Petroleum Engineering dissertation at the University of Texas, Austin. Varun PathAk, Calgary Varun, a Reservoir Simulation Engineer, has 5 years of industry experience working throughout India and Canada. Varun s expertise includes fractured carbonate reservoirs, geomechanics and unconventional reservoir simulation, specifically for shale, tight oil and gas reservoirs. He holds a Bachelor of Technology, Petroleum Engineering from the Indian School of Mines and a Master of Science, Petroleum Engineering from the University of Alberta. Victor Lara, Caracas Victor, a Reservoir Simulation Engineer, has over 10 years of industry experience specializing in cold production simulation and thermal EOR techniques for heavy and extra heavy oil reservoirs, including CSS, steam flooding, and in situ combustion. He holds a Bachelor of Science, Chemical Engineering from the Simon Bolivar University in Venezuela. Victor Salazar, Bogota Victor, Manager Latin America, has spent the majority of his 20 year career with CMG working throughout Latin America. He holds a Master of Science, Petroleum Engineering from the Universidade Esadual de Campinas in Brazil and a Bachelor of Science, Petroleum Engineering from the Universidad de America in Colombia. Victor and his team are committed to providing all customers in Latin America and the Caribbean with unparalleled support and delivering superior software technologies. Vikram Chandrasekar, Houston Vikram, a Reservoir Simulation Engineer, has over five years of industry experience with a particular focus on the modelling of chemical flood processes. Vikram s expertise encompasses low salinity waterflooding, reservoir geochemistry, microemulsions, chemical flooding, waterflooding, CO 2 sequestration and thermal recovery processes. He holds a Master of Science, Petroleum Engineering from the University of Texas, Austin and a Bachelor of Technology, Chemical Engineering from Anna University in India. 42

48 TRAINING LOCATIONS Calgary Two Executive Place 200, 1824 Crowchild Trail NW Caglary AB, T2M 3Y7 Canada Houston Paragon Center One 450 Gears Road, Suite 860 Houston, TX U.S.A Caracas Centro Profesional Eurobuilding, Piso 2, Ofic. 2 A Calle La Guairita, Urbanización Chuao, Municipio Baruta, Caracas, Venezuela trainingsa@cmgl.ca London AREA Suite 4, Isis Building Howbery Park Wallingford, United Kingdom OX10 8BA trainingeurope@cmgl.ca Dubai Dubai Internet City (DIC) Building 12, Office #320 PO Box Dubai, United Arab Emirates trainingme@cmgl.ca BACK TO TABLE OF CONTENTS 43

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