Developing a Surrogate Reservoir Model (SRM) using CMG and IBM

Analytics to Optimize Waterflooding By:TrixieAnneRoque

Mentors:MuhammadZulqarnain,EsmailAnsari,

andMayankTyagi

LouisianaStateUniversityCenterforComputaDonandTechnology

July27,2016

Oil Reserves are Formed from Dead Organic Materials Under Extreme Heat

and Pressure

Source:h*p://www.nzpam.govt.nz/

Oil is Extracted Using a Three-Phase Process

• Naturaldrive–usesthenaturallyexis<ngpressureinthereservetoextracttheoil

• Waterflooding–usespressurizedwaterandgastopushtheoiltothesurface

•  Enhancedoilrecovery(EOR)–useschemicalstochangetheproper<esoftheoil

Source:chinaoilfieldtech.com

Source:rigzone.com

Oil is Extracted Using a Three-Phase Process

• Naturaldrive–usesthenaturallyexis<ngpressureinthereservetoextracttheoil

• Waterflooding–usespressurizedwaterandgastopushtheoiltothesurface

•  Enhancedoilrecovery(EOR)–useschemicalstochangetheproper<esoftheoil

Source:rigzone.com

Source:chinaoilfieldtech.com

Why Use Water Flooding? • Naturaldriveonlyrecovers5%-10%oftheoriginaloilinplace(OOIP)fromthereservoir.

• Waterfloodingrecovers25%-30%moreoftheOOIP.• Withoutwaterflooding,weareonlyrecoveringasmallpercentageofoil.

Process Flow Diagram

First Step Involved Data Generation Using CMG - IMEX Reservoir Simulator

Time Series Data on Field Production Rates, Cumulative Oil, and Water Injection Rates were

Collected

Second Step Involved IBM SPSS Modeler to Create the Surrogate Reservoir Model

Goodness-of-fit Values were Used to Determine the Best Model

History Matching and Forecasting

•  Generateddataweredividedinto“inputs”and“targets”.•  Inputswereusedforhistorymatching.•  Oncematched,themodelwasusedtoforecastfuturereservoirbehavior.

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