From Raw Data to Smart Data
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1 From Raw Data to Smart Data Optimizing Data for Decision Processes Jorge Morana Software Business Development Manager Software Integrated Solution June 14 th, 2017
2 Agenda Oil and gas Industry needs Smart Data Operational Intelligence Content Management Collaborations Center Conclusions
3 Oil & Gas Industry needs Manage different and increasing streams of data Unlock the values of the streamed data to: Be in compliance with QHSE regulations Well integrity assurance Improve drilling efficiencies Reduce the overall cost of well construction Make better informed decisions Look for new Tools, techniques and services available
4 Critical Data Streams required to support drilling operations Offshore Rig Operation Support Center Rig Connectivity Surface Data Measurements string rotation speed String weight and weight on bit fluid pumping rate fluid pressure string torque Fluid volume level Contextual Information Mechanical Earth Model Geopressure Offset Well Analysis Risk Assessment Plan Daily Reports Bottomhole Assembly Bi-directional Telemetry Bottom Hole Measurements Steerable assemblies Position surveying Formation properties BHA mechanical Vibrations Pressures Mechanical stresses
5 Smart Data Smart data means information that makes sense Algorithms turns meaningless numbers or values into actionable insight Why is streaming drilling data so important at the moment? Because time-to-insight is increasingly critical and often plays a large role in smart, informed decision making.
6 Example automating the drilling process Operations breakdown
7 Raw Data Making the complex understandable Raw Data Information Advanced Signal Processing
8 Raw Data Making the complex understandable Raw Data Models Advanced Signal Processing
9 Real time drilling operations process Preliminary modeling and well planning Rig data acquisition and aggregation Analysis, model updates, KPI s, risk and scenarios review Recommendations and decisions Actions Lessons Learnt
10 Operational Intelligence Support Activities Operational intelligence (DOI) is a category of realtime dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. DOI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. DOI provides drilling organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions. Primary Activities Quality Assurance Reliability User Support Business Intelligence Performance Management Business Process Management Role Based Dashboard ( Visualization) Performance tracking User Experience SMART DATA into Operational Intelligence
11 Example of drilling operational Intelligence
12 Smart Data into Operational Intelligence Downhole drilling process measurements Mitigate Risk Operational Intelligence Real-time drilling answers Rigsite dashboard integrating surface & downhole data Improve Performance Remote expert interpretation Enhance Wellbore Quality FEATURES APPLICATIONS
13 Smart Data into Operational Intelligence Risk Mitigation and Efficiencies is a sub-set of: Performance Management Hazard Management Model Management Operational Intelligence Downhole drilling process measurements Remote expert interpretation Real-time drilling answers Rigsite dashboard integrating surface & downhole data Mitigate Risk Enhance Wellbore Quality Improve Performance FEATURES APPLICATIONS
14 DOI - Well Construction Management Performance management for ILT reduction Hazard management for NPT reduction Model manage for well planning improvement and risk assessment Inform Advise Processes Performance Management Daily KPI Reporting 24/7 Real-time Remote Monitoring 12/7 Analysis and Advice Quick Event Detection Hole Cleaning and Wellbore integrity Bit wear and ROP management engineering and operations plan analysis Hazard Management 24/7 Real-time Remote Monitoring 12/7 Analysis and Advice Offset wells performan ce analysis Multi-well drilling efficiencies analysis Real Time mechanics Dynamic Analysis Real Time downhole performance analysis Model Management 24 /7 Collaboration with Geoscientist and Reservoir Engineer 12 /7 Models Updates and Advise Post-well Analysis parameters prediction and downhole tools selection Earth Model updates ROP predictions ECD Management and Well control
15 Performance Management Hazard Management Model Management Inform Daily KPI Reportin g 24/7 Real-time Remote Monitoring 24/7 Real-time Remote Monitoring 24 /7 Collaboration with Geoscientist and Reservoir Engineer DOI- Performance Management Advise 12/7 Analysis and Advice 12/7 Analysis and Advice 12 /7 Models Updates and Advise Processes Quick Event Detecti on Hole Cleanin g and Wellbor e integrity Bit wear and ROP managem ent engineerin g and operations plan analysis Offset wells performan ce analysis Multi-well drilling efficiencie s analysis Real Time mechanics Dynamic Analysis Real Time downhole performan ce analysis Postwell Analy sis parameters prediction and downhole tools selection Earth Model updat es ROP predictio ns ECD Management and Well control Inform Level KPI tracking and reporting KPIs: Weight-to-weight, ROP, off-bottom time Tripping KPIs (BHA/casing/ landing string/bop/completion string): Slip-to-slip, gross speed, instantaneous and average pipe moving speed (open and cased hole) Enhanced KPIs: Pick up/laid down BHA, rig up/down casing, bottoms up circulation, circulation prior to cementing, BOP testing Advise Level analysis services ILT Analysis Multi-rig & well benchmarking and analysis Identification of areas of improvements and main KPI efficiency and bit wear evaluation (MSE, DMSE, cuttings shape, offset analysis) Additional Procceses Multi-Well efficiencies Dashboard Performance drilling: Increasing on-bottom ROP and reducing connection time and cleaning cycles while avoiding stuck pipe incidents Tripping in/out and connection time optimization Bit wear and ROP prediction to support POOH decision making Real-time KPI monitoring versus target
16 Performance Management Hazard Management Model Management Inform Daily KPI Reportin g 24/7 Real-time Remote Monitoring 24/7 Real-time Remote Monitoring 24 /7 Collaboration with Geoscientist and Reservoir Engineer DOI- Hazard Management Advise 12/7 Analysis and Advice 12/7 Analysis and Advice 12 /7 Models Updates and Advise Processes Quick Event Detecti on Hole Cleanin g and Wellbor e integrity Bit wear and ROP managem ent engineerin g and operations plan analysis Offset wells performan ce analysis Multi-well drilling efficiencie s analysis Real Time mechanics Dynamic Analysis Real Time downhole performan ce analysis Postwell Analy sis parameters prediction and downhole tools selection Earth Model updat es ROP predictio ns ECD Management and Well control Inform Level 24/7 real-time monitoring Monitor drilling Parameters, BHA steady time, T&D model trends and friction factor for signs of stuck pipe Monitor measured ESD/ECD vs predefined mode (with gas, mud volumes) l for well integrity Monitor surface and downhole shock and vibration for drill string integrity Monitor fluid displacement (pills, cement) Monitor well trajectory Advise Level analysis services Collates risk map (drilling, tripping, casing, cementing, etc ) Multi-well analysis and best practices identification Modelling and calibration of hydraulic model and geo-pressure model integration Modelling and calibration of T&D model and geomechanics model integration Surge/swab calculation for BHA and casing Event analysis and lessons learnt capturing Additional Proccesses Real Time geomechanics for narrow mud window operations Geomechanics and/or experts assistance for deviated wells with WBS and hole cleaning challenges
17 Content Management Content Management at Enterprise level, includes the strategies, methods and tools used to capture, manage, store, preserve, and deliver content and documents related to organizational drilling processes DCM
18 DRILLING CONTENT MANAGEMENT RIG SITE EQUIPMENT High Frequency capabilities ( 1 to 100 Hz) Role based Dashboard Secure Business Process Rules Automation DOI is a subset of DCM Plugin based Sensors QC Real Time Parameters SECURITY (USERS,RULES ) DOWNHOLE DATA DATA PLUGIN DCM TRANSACTION PROFILING Data Capture and Documents Rig Scada /PLC MATCHING RULES BUSINESS RULES DATA PLUGIN DATA NOTIFICATIONS ( SMS, ) DASHBOARD PORTAL Reports, Workflow Based Exception Resolution, Audit Trails AUTOMATED ALARMS / NOTIFICATIONS
19 Content Management - From the Rigs to the Office Ongoing Data Capture Real Time (WITSML) Dashboard Reports Matching rules and templates Drop Box Loader Staging DB (QC) E&P Database Knowledge Database Legacy Data Capture File System Digital Documents Data Capture Tool Operations High Frequency (Data Files)
20 Real Time Collaborations Center A Combination of People, Processes and Technologies Is a key element for knowledge management and reuse it to improve Oil & Gas Operations Allow us to make better, smarter and faster decisions
21 Capabilities Vision of Real Time Centers or Collaborations Centers A long term global perspective Level Capabilities 10 Autonomous and automatic intervention Optimized Autonomous Control of a very well defined group of rig/facilities activities, with the ability of an automated system intervention 9 Diagnostic based on Models with automated intervention Automated diagnostics based on modeled process and real time information coming from the rig/well/facilities with automated intervention recommend by a system 8 Global Collaboration and operations Groups of specialist working in a collaborative environment with access to experts support inside or outside the Organization 24x7 7 Diagnostic based on Models with manual intervention Automated diagnostics based on modeled process and real time information coming from the rig/well/facilities with manual intervention recommend by specialists / experts 6 Remote Operation and Control Remote operation of a device, tool or Rig equipment / facilities from an Operation Support Center 5 Additional personnel and specialists beyond the rig/platform/facilities (Operation Support Center) Organization/Technologies that provide a continues support to the rigs/facilities. Operation Centers doing diagnostic and analysis to recommend solutions (24/7). 4 Diagnostic and Analytics Procedures and tools that effectively analyze all available data, do diagnostics and allow specialist to recommend solutions to the rig 3 Surveillance with Alarms warning Automated Alarms for unexpected events. Quick Event detection identifying deviation of the plan, predicted activities /models, procedures or regulations. 2 Monitoring Monitoring of summarized data package transmitted from the rig, establishing communication with the rig or platform /facilities 1 Data Acquisition and Transmission from the rig/platform The information is transmitted from the rig/well to the office for monitoring
22 Real Time Collaboration Center Example
23 Transform Data into Actionable Information through Real time Collaborations Center Efficient tools for multi-well, multi-discipline, multi-rig data interpretation Skilled personnel with well construction exposure and understanding Clear workflows to collaborate & support informed timely decision making Lean and scalable deployment that adapt to project team and challenges
24 Performance Management Hazard Management Model Management Inform Daily KPI Report ing 24/7 Real-time Remote Monitoring 24/7 Real-time Remote Monitoring 24 /7 Collaboration with Geoscientist and Reservoir Engineer ADCO Reduces Invisible Lost Time and Saves Advise 12/7 Analysis and Advice 12/7 Analysis and Advice 12 /7 Models Updates and Advise 2 Days Versus AFE with PM, UAE Challenge Overcome hole cleaning and stuck pipe risks while achieving target ROP, drilling all sections shoe to shoe, and minimizing connection time in an onshore pilot well. Solution Performance management implementation to optimize operation and real-time decision making Hole cleaning and wellbore risk reduction for real-time measurement of cutting flow Advanced Rig operations surveillance and instrumentation system Results Increased on-bottom ROP and drilled shoe to shoe in all runs while avoiding stuck pipe incidents; Reduced total connection time 30%; Identified five unnecessary cleanup cycles for future invisible lost time (ILT) improvement. Processes Quick Event Detect ion Hole Cleani ng and Wellbo re integri ty Bit wear and ROP manage ment engineeri ng and operatio ns plan analysis Offset wells performa nce analysis Multiwell drilling efficienci es analysis Real Time mechani cs Dynamic Analysis Real Time downhol e performa nce analysis Postwell Anal ysis parameter s prediction and downhole tools selection Earth Mod el upda tes ROP predict ions ECD Management and Well control
25 Performance Management Hazard Management Model Management Inform Daily KPI Reportin g 24/7 Real-time Remote Monitoring 24/7 Real-time Remote Monitoring 24 /7 Collaboration with Geoscientist and Reservoir Engineer Det Norske Achieves Performance Advise 12/7 Analysis and Advice 12/7 Analysis and Advice 12 /7 Models Updates and Advise Consistency in Multiwell Field Development Project, Offshore Norway Challenge Improve operational efficiency and drilling performance during casing and completion run in offshore Norway. Solution Deploy the Well construction performance process with additional support delivered through global connectivity, collaboration, and information process and Dynamic Hydraulic drilling fluid simulation process Processes Quick Event Detecti on Hole Cleanin g and Wellbor e integrity Bit wear and ROP managem ent engineerin g and operations plan analysis Offset wells performan ce analysis Multi-well drilling efficiencie s analysis Real Time mechanics Dynamic Analysis Real Time downhole performan ce analysis Postwell Analy sis parameters prediction and downhole tools selection Earth Model updat es ROP predictio ns ECD Management and Well control Results Improved consistency of drilling and tripping performance to enable multiple successful casing and completion runs. Set project records for net and gross ROP in the 8½-in and 12¼-in sections.
26 Well Constructions Management This solution offers a scalable deployment enabling operators to to effciently leverage smart data into actionable information for consistent and continous well construction performance improvement. From planning to evaluation, the Well Operations Analysts team works in a collaborative environement with multi-domain experts and wellsite personnel to reduce well construction costs without sacrifying safety and wellbore quality. Performance Management Analyzes and benchmarks to identify ILT and potential area of improvement Define and agree on Key Performance Indicators (KPI) and objectives Continuous monitors and communicates KPIs during execution Support performance drilling and tripping processes collaborating with petro technical experts Identify and support technologies and solutions to enhance performance Hazard Management Collates and collaboratively evaluate risks (drilling, tripping, casing, cementing, connection tracking, etc ) Collaborates with operators to determine key parameters, thresholds and mitigations Translates well site data into information supporting timely decision making Monitors execution versus plan and informs deviation Analyzes and updates risks and event maps and forecasts
27 CONCLUSIONS Real time stream data needs to be transformed to Smart Data able to take actionable decision operational Intelligence will create a proactive approach to improve drilling efficiencies content management will capture, manage, store, preserve, and deliver smart content to the drilling organization Virtual or physical Collaborations Centers used from planning to Evaluation, using a multi-domain approach, will improve Well Constructions processes
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