CMG Corporate Overview

Transcription

1 CMG Corporate Overview

2 Our Business Reservoir Simulation Software Development Reservoir Simulation Software Licensing Specialized Consulting Services Customized Training Collaborative Research 2

3 History 33 Years of Software Development 41 Successive Fiscal Quarters of Profitability Initial Public Offering First Profit as a Public Company First Positive Cash Flow Established as Research Foundation Fiscal

4 Employees 164 Professional Staff 36 Doctorate Degree 46 Masters Degree 54 Bachelors Degree 28 Other Deployment 84 Research & Development 45 Consulting, Support & Training 20 Sales & Marketing 17 Administrative 8 IT Support 4

5 Where We Are CMG has more than 525 clients in 55 countries Calgary, Canada London, U.K. Houston, USA Caracas, Venezuela Dubai, U.A.E. Rio de Janeiro, Brazil Head Office - Calgary, Canada 5

6 Our Strengths Leader in EOR & Unconventional Reservoir markets Thermal Processes Electrical Heating Combustion (THAICAPRI) SAGD ES-SAGD Thermal Cyclic steam injection Continuous steam injection 6

7 Our Strengths Leader in EOR & Unconventional Reservoir markets Chemical Processes Low salinity water injection Gel injection ASP Foam Injection CO2 injection with Asphaltene Precipitation & Plugging 7

8 Our Strengths Leader in EOR & Unconventional Reservoir markets Enhanced Recovery in Unconventional Reservoirs Shale Gas/Oil Tight Gas Microseismic Data Imported to simulator CBM / ECBM CO2 Huff n Puff 8

9 New Clients Cumulative Client Growth Client Base

10 CMG s Clients in the USA

11 CMG s Clients in Canada Seven Generations Energy Ltd. Marengo Energy Research Limited Reservoir Modelling & Management Ltd.

12 CMG s International Clients

13 CMG s University Clients Ukhta State Technical University Russian State Geological Prospecting University UNIVERSITY OF WYOMING Oil & Gas Institute University of Baghdad

14 Annual Software License Revenue Software license revenue ($thousands) $45,000 Annuity Maintenance Perpetual $40,000 $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $

15 Products IMEX = 3-phase, 4-components Black Oil Simulator GEM = 3-phase, n-component EOS Compositional Simulator STARS = 4-phase, n-component Thermal/CEOR Simulator WINPROP = PVT Phase Behavior Characterization BUILDER = Simulation Model Creation/Editing RESULTS = X-Y Plots, Grid Visualization & Data Extraction LAUNCHER = File Management & Job Scheduling CMOST = History Matching, Optimization, Sensitivity & Uncertainty Analysis 15

16 IMEX Applications Primary recovery Black Oil & Volatile Oil Dry & Wet Gas Gas Condensate Secondary recovery Waterflooding Polymer Flooding Dry Gas Injection Pseudo-miscible Displacement Gas Storage Abandoned Gas Fields Aquifer Storage 16

17 IMEX Applications Naturally Fractured Reservoirs Gas Oil Gravity Drainage (GOGD) Explicit Modelling of Hydraulically fractured wells with non-darcy flow & Compaction Frac Packs (short, highly conductive fractures in Unconsolidated reservoirs) Single Plane Fractures (in tight reservoirs) Complex Fracture Networks (in shale reservoirs) Coupled Surface Facilities Branched surface networks using hydraulics tables or FORGAS Looped surface networks coupled to GAP, METTE or Avocet IAM 17

18 GEM Applications Secondary Recovery Miscible & Immiscible gas injection (CO2, N2, Sour Gas, Flue Gas) in Continuous, WAG and SWAG modes Gas condensate production with dry/lean gas cycling to recover liquids VAPEX heavy oil recovery (isothermal and thermal) CBM & Shale Gas Production Multi-component desorption/adsorption, diffusion & coal swelling/shrinkage Gas Storage Abandoned Oil Reservoirs (to model light oil/condensate recovery) Tracking gas composition CO2 & Acid Gas Sequestration Oil reservoirs, Saline aquifers & Coal beds (ECBM) Geochemical reactions 18

19 GEM Applications Asphaltene modelling during primary and secondary recovery Precipitation, Flocculation, Deposition & Plugging Naturally Fractured Reservoirs Gas Oil Gravity Drainage (GOGD) in naturally fractured reservoirs CBM & Shale Reservoirs Explicit Modelling of Hydraulically fractured wells with non-darcy flow & Compaction Single Plane Fractures (Vertical & Horizontal Wells in Tight reservoirs) Complex Fracture Networks ( Vertical & Horizontal Wells in Shale reservoirs) Coupled Surface Facilities Branched surface networks using hydraulics tables and FORGAS Looped surface networks coupled to GAP and PIPEPHASE Coupled Geomechanics GEOMECH 19

20 STARS Applications Thermal EOR Hot water flooding Steam flooding & Cyclic Steam Stimulation SAGD & ES-SAGD In-Situ Combustion (LTO & HTO) In-Situ Conversion of Oil Shale (Shell ISC process) Chemical EOR Emulsions, Gels, Foams ASP, SP, ASG (foam surfactant) MEOR LoSAL waterflooding Brightwater polymer flooding Gas Storage Salt Cavern Storage 20

21 STARS Applications Naturally Fractured Reservoirs Steam Oil Gravity Drainage (SOGD) in naturally fractured reservoirs Cold Heavy Oil Recovery (CHOPS model built with AITF) Natural Gas Hydrates Geothermal Complex Thermal Wellbore Completions Discretized Wells (transient, segregated flow of steam, oil, gas & water in single tubing horizontal wells) FlexWells (transient, segregated flow of steam, oil, gas & water in multiple tubing, undulating wells) Coupled Surface Facilities PIPEPHASE Coupled Geomechanics GEOMECH 21

22 Some of the physical phenomena we can model 22

23 Some of the physical phenomena we can model Used to model changes in phase viscosity when a key component is added (e.g. polymer) Used to model non-newtonian behavior of injected fluids shear thinning shear thickening combined model tabular input model 23

24 Some of the physical phenomena we can model

25 Some of the physical phenomena we can model Compaction/Rebound Subsidence Dilation /Recompaction Elastic/Plastic Deformation 2D and 3D geomechanical formulation Stress effects on Porosity & Permeability Geomechanics in Naturally Fractures models Geomechanical grid independent of flow grid 25

26 Some of the physical phenomena we can model Asphaltenes precipitation STARS allows modelling of first order, rate-dependent reaction kinetics for recovery processes that involve reactions between components in fluids (i.e. reservoir and injected) and in the formation (i.e. clays and other minerals). Reaction rates can depend on tem perature, component concentration, permeability and velocity. Examples include insitu-combustion, ceor, in-situ foam generation, degradation & regeneration, emulsions, solids, etc. Gels Foam Microbes Foamy Oil In Situ Combustion High temperature oxidation Low temperature oxidation Fine Migration In situ upgrading Wax and asphaltene precipitation 26

27 Some of the physical phenomena we can model Used to represent Wettability and Residual Oil Saturation variation with phase composition Interpolation can be a function of component concentration, capillary number and/or interfacial tension. Krg = 0.01 Krg = 1.00 ph changes Miscible fluids Flux velocities ( ) Composition changes X Gas Total = X w en fase gaseosa + X Soln-Gas en fase gaseosa 27

28 Some of the physical phenomena we can model Ty = 100 ºF T = 617 ºF Swirr T > Swirr Ty Sorw T < Sorw Ty Krwiro T > Krwiro Ty Sorg T < Sorg Ty T = 617 ºF Ty = 100 ºF 28

29 Advanced Well Modelling Features A fully coupled mechanistic model that calculates the transient segregated flow of multi-phase fluids and heat within the wellbore and between the wellbore and the reservoir. Transient flow calculations Heat loss to formation Fluid segregation calculations Friction pressure losses Multiple flow regimes Z Tubing Y Selective dual injection Anular Steam circulation (i.e. SAGD) Hot diluent injection 29

30 Advanced Well Modelling Features Extends Discretized Well model features to wells with up to 3 concentric tubing strings inside the wellbore plus allows for undulating wells that connect with more than one reservoir layer. Transient flow calculations Heat loss to formation Fluid segregation calculations Friction pressure losses Multiple flow regimes also models Flow Control Devices Tubing 2 Tubing 1 Annular WHOC

31 Advanced Well Modelling Features Used to specify actions that will be implemented when a condition is achieved during the simulation forecast period. Can be applied to: wells, groups, layers, sectors, field, etc. Conditions [ > or < ] Rate, pressure, concentration, saturation, etc. Actions shut-in, voidage replacement, drilling/workovers, etc. 31

32 Speed Up Advanced Simulator Performance Features 32 Ideal Blue old Blue new CMG 28 The objective is to reduce the simulation run time significantly without reducing the calculation accuracy Shared Memory Any model can be parallelized regardless the grid complexity and well configuration or location Multimillion cell models Excellent Speedups Efficient domain manipulation CPU's 32

33 Advanced Simulator Peformance Features Steam Flood Simulator changes the block size automatically based on rate of change of key parameters as specified by simulation engineer. Processes where small cells are required Use small cells where needed and big cells elsewhere Dynamic change based on: Temperature, Saturation Global Mole Fraction Phase Mole Fraction (o, g, w) Fluid Enthalpy Pressure Effective when an interface is present SAGD ASP Combustion: speed up 5-7 SAGD: speed up 2-5 VAPEX: speed up 2-4 Water Flood: speed up

34 Speed Up Advanced Simulator Peformance Features Powerful combination of parallel processing and Dynagrid features that multiplies the simulation time speedup effect! Ideal Blue old Blue new CMG - ParaDyne Hardware and Dynamic Gridding 4 CPU 1.65GHz POWER5 AIX 4 CPU 2.4 GHZ Opteron Linux 2 CPU 3.6 GHz Xeon (EM64T) Win CPU 1.9GHz POWER5 AIX SAGD: CPU's 3.6 Increase with Parallel x 3.6 Increase with Dynagrid 12.9 Increase with Paradyne Serial Dynagrid Parallel Paradyn 34

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