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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