reservoir fluid characterization in a digital environment

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

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

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

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

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

Laboratory Analysis → Digital vs Analytical


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

Industry Gaps & Impact of Digitization


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

Stratum Reservoir Digital Solution


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

Digital PVT Calculator Workflow


Lab

Measurements

Raw Measurement

Data Input

Analysis and

Calculation

Quality check Report

Generation

1 2 3 4 5

PV

T C

alc

ula

tor

A Preview of PVT Calculator Results


Covers multiple tests

Different Sample Types

Easy Identification of

Outliers

Live fitting by eliminating

the outliers

PVT Calculator

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

Impact of Fluid Information → Issues & Uncertainties


Business Challenges


▪ 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

PVT - Digital Transformation & Road Map


Streamlining the end – to – end

PVT Business Process through Web-

Based automated Data

Governance Solution called “PVT

Intelligence”

PVT INTELLIGENCE

Features of “PVT Intelligence”


▪ 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

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


1. Integration Between Operating Company and

Laboratory/transparency

→ PVT Calculator


▪ 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

2. Integration of Real-Time Data and

Laboratory Information → PVT Integrator


3. Extracting Full Information of PVT Data

→ AI Solution


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.

https://www.google.com/url?sa=i&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwiE-Ofcx4nbAhWGPxQKHezGC7UQjRx6BAgBEAU&url=https://towardsdatascience.com/artificial-intelligence-fundamentals-making-machine-intelligent-d3f28f236c7&psig=AOvVaw3pOogGmFCnuiOLoDguOu5S&ust=1526536927484639

3. Extracting Full Information of PVT Data

→ AI Solution


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.


Concluding Remarks


▪ 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


Thank You

www.spwla-saudi.org


reservoir fluid characterization in a digital environment

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