Reservoir Fluid Characterization in a Digital Environment
Transcript of Reservoir Fluid Characterization in a Digital Environment
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Reservoir Fluid Characterization in a
Digital Environment
CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICESVirtual Workshop Series (Feb, Mar & Apr 2021)
SPWLA SAUDI ARABIA CHAPTER (SAC)
9th Topical Workshop
Abul Jamaluddin, Vice President, Stratum Reservoir
Arwa Ahmed Mawlod, PVT Specialist, ADNOC Group
March 10, 2021
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Agenda
2SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
▪ Generic Reservoir Fluid Characterization Workflow
▪ Laboratory Analysis → Digital vs Analytical
▪ Industry Gaps & Impact of Digitization
▪ Digital Solution → PVT Calculator from the Service Provider’s Perspective
▪ Operating Company’s Digital Transformation & Roadmap
▪ Business Challenges and Goals
▪ Impact of Fluid Information → Issues & Uncertainties
▪ Integration of Field and Laboratory Information → Gaps & Solutions
▪ Concluding Remarks
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Reservoir Fluid Characterization Workflow
Downhole Fluid Characterization
Laboratory Measurements
•PVT
•Asphaltene
•Wax
•Hydrate
Fluid Modeling
•Thermodynamic –
•Steady & Transient State Modeling
Integration, Interpretation
and Design
Field Implementation
• Implement a technically sound, cost effective and environmental sound solution
•Monitor/Control
Loop Back
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Downhole Fluid Characterization – Sensor Technology
Downhole Sensors Fluid Properties
Measured
Pressure & Temperature
Compositions C1..C5+
CO2 & H2S
Fluid Density/Viscosity
Resistivity
Calculated
Gas-Liquid Ratio (GLR)
Oil-Based Mud (OBM)
Contamination
▪ Sensor technology –
▪ Real-time digital fluids data → API, Compositions..
▪ Contaminants → H2S and CO2
▪ Pressure gradients → deduce live density information
Exploration and Appraisal
▪ These data are used for real-time decision making
▪ Where do these data reside in an operating company?
▪ Are we extracting the full value of the information?
▪ Is the fluid information crossed checked with laboratory
information?
Data Utilization & Challenges
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Laboratory Analysis Methodologies
Past – Present – Future → No Digitization
Gas Chromatography
Gasometer →GOR
PVT Measurements
Density Measurements
Viscosity Measurements
Flow Assurance Measurements
Thermodynamic & Fluid Flow
Modelling
Phase Behaviour Interpretation
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Laboratory Analysis → Digital vs Analytical
6SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
Planning1
Laboratory Data Processing & QC4
Analy
tical
Dig
ital
Laboratory Measurements3
Reservoir Fluid Sample Collection 2
Operator QC, Comparison & Archiving6D
igit
al
Laboratory Report Generation 5
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Industry Gaps & Impact of Digitization
7SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
Gaps in the Industry
•Operators don’t have real-time access to laboratory data for early quality check
•Service company doesn’t have access to operator’s analog field data for comparison purposes
•Missed opportunity to identify outliers or inconsistency early in the process1
Impact of Digital
Platform
•Common platform for real-time data transparency
•Having wrong data can cause delay is Field Development Decision → time consuming and costly
•Digital Platform provides a significant time-saving opportunity
•Financial Impact can be large → take measures for the presence of contaminants as an example
• If data smoothing is required on the raw data, the extent of smoothing must be transparent
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Stratum Reservoir Digital Solution
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Digitization of the PVT Calculation Process1
4
5
Digital Platform to Upload and Share 3
Auto Quality Check and Ability to Compare 2
Automated Report Generation
Export Data for further Integration & Delivery
PVT Calculator
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Digital PVT Calculator Workflow
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Lab
Measurements
Raw Measurement
Data Input
Analysis and
Calculation
Quality check Report
Generation
1 2 3 4 5
PV
T C
alc
ula
tor
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A Preview of PVT Calculator Results
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Covers multiple tests
Different Sample Types
Easy Identification of
Outliers
Live fitting by eliminating
the outliers
PVT Calculator
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Arwa Ahmed Mawlod, PVT Specialist, ADNOC Group
Abul Jamaluddin, Vice President, Stratum Reservoir
March 10, 2021
Reservoir Fluid Characterization in a
Digital Environment – PVT Intelligence
CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICESVirtual Workshop Series (Feb, Mar & Apr 2021)
SPWLA SAUDI ARABIA CHAPTER (SAC)
9th Topical Workshop
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Impact of Fluid Information → Issues & Uncertainties
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Business Challenges
13SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
▪ Process In-efficiency / inconsistent business process.
▪ Scope of Work issues.
▪ Over design of scope increasing project cost
▪ Data quality issues , Inconsistent data validation and data
management issues.
Goal....!▪ PVT Data Quality & Transparency
▪ Optimum PVT programs (Scope and cost)
▪ Transform the PVT data into information and maximizing its value
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PVT - Digital Transformation & Road Map
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Streamlining the end – to – end
PVT Business Process through Web-
Based automated Data
Governance Solution called “PVT
Intelligence”
PVT INTELLIGENCE
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Features of “PVT Intelligence”
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▪ Provide smart solution for data validation
▪ Planning for PVT Study
▪ Integrate with DB to characterize PVT data with proper
reservoir information
▪ Automatically generate technical and commercial scope
▪ Controlled project execution and performance monitoring
▪ Planning for PVT Study
▪ Integrate with Data Base to characterize PVT data with
proper reservoir information
PVT INTELLIGENCE
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Quick Link from Laboratory to Operations
Downhole, Real-time Fluid Cross validation with Laboratory
Measurements
Extracting the full value of fluid information
Integration of Field and Laboratory Information
& Value Extraction → Gaps & Solutions
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1. Integration Between Operating Company and
Laboratory/transparency
→ PVT Calculator
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▪ From a holistic perspective, the PVT
Calculator concept fits with the PVT
intelligence structure.
▪ Advantages: Data transparencies
through seamless and early access to
laboratory raw data to verify /Cross
check & validate, measurements
calculations
PVT INTELLIGENCE
PVT Calculator
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2. Integration of Real-Time Data and
Laboratory Information → PVT Integrator
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3. Extracting Full Information of PVT Data
→ AI Solution
19SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
ProfitabilityEfficiency
People
Performance
AI techniques to enable ADNOC having a Holistic
understanding of Abu Dhabi fields and their
properties in one canvas to predict PVT
properties and model ADNOC reservoir fluids.
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3. Extracting Full Information of PVT Data
→ AI Solution
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Profitability
Efficiency
People
Performance
AI techniques to enable ADNOC having a Holistic
understanding of Abu Dhabi fields and their
properties in one canvas to predict PVT properties and
model ADNOC reservoir fluids.
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Concluding Remarks
21SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES
▪ ADNOC solution “PVT Intelligence” is the digital
transformation solution to streamline end-to-end PVT
workflows and activities handled by operation companies.
▪ Industry Gaps reviewed today:• Laboratory fluid measurements are still analytical
• No access to laboratory raw data
• Gaps in integration of laboratory data and real-time information
• Full value extraction from available PVT data
▪ The service providers are aligning with Operation
Companies aspiration. Solutions have been explored to
address above Gaps
▪ In the future, more AI techniques to accelerate digital
transformation going forward
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Thank You
www.spwla-saudi.org
22SPWLA SAC WORKSHOP - CORING AND CORE ANALYSIS: CHALLENGES AND BEST PRACTICES