In the subject reservoir,geological features(high perm streaks and fractures)are the key performance driversthat affect injected water movement behavior.However the horizontal and vertical distribution of thesefeatures have high uncertainties and it is very challenging to accurately capture these features and mapinto model.Here we developed one workflow to capture these features by integrating different sources ofsolid data,from core,open-hole resistivity log,PLT,well testing,production and surveillance data,etc.Thisreservoir has been on production for decades and plenty of static and dynamic data were acquired for thewhole field.Among those data,conventional core analysis(CCAL),log derived k-PHIE regression,and welltesting will measure reservoir permeability values,which could give guidance to the areal distribution ofhigh perm and low perm regions.Afterwards,the difference between well test interpreted perm and CCALmeasured perm could give some indication of some geological features(HKS,fractures,etc.)existing ornot.Furthermore,these geological features could be further confirmed by the dynamic data,such as open-hole resistivity logs,PLT,and well production performance data,etc.After confirmation,those preliminarygeological features will be mapped into static and simulation models,and the seamless geo-engineering loopof history match process will proceed until the final history match stage without compromising geologicplausibility and consistency.Going through the above integration workflow,the history match process was completed and the finalhistory matched simulation model gives very promising water saturation match quality in both horizontaland vertical directions.In the horizontal direction,~90% of the producers get water cut match(trend andmagnitude,dWC<5%),and also for recent drilled long horizontal producers(maximum reservoir contact(MRC)wells),model production profiles and water entry points along the laterals have good alignment withPLT and open-hole resistivity log data.In the vertical direction,model water saturation profiles have goodalignment with open-hole resistivity log trend for hundreds of wells(~90% matched).PLT and WFL alsohave very good match quality.In general this simulation model could reproduce water movement very wellin three dimensions using this new integration workflow,with much improvement compared to current the model.It gives higher confidence in the model predictive capacity,and the future field development planwill be studied using this New Generation Model Based on this integrated approach,a more plausible and consistent set of geological features aremapped and thus achieve promising history match quality of water movement with minimum localmodifications,and thus enhance the model predictive capacity and provide better support of the life cyclefield development.
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