Development of a Stochastic Inversion Tool To Optimize Agreement Between The Observed And Predicted Seismic Response To CO2 Injection/Migration in the Weyburn-Midale Project

Ramirez, A L ; Hao, Y ; White, D ; Carle, S ; Dyer, K ; Yang, X ; Mcnab, W ; Foxall, W ; Johnson, J

Lawrence Livermore National Laboratory

关键词: Storage;    Reflection;    Implementation;    Site Characterization;    Sampling;   

DOI  :  10.2172/972119
RP-ID  :  LLNL-TR-420989
RP-ID  :  W-7405-ENG-48
RP-ID  :  972119

美国|英语

来源: UNT Digital Library

【 摘 要 】

During Phase 1 of the Weyburn Project (2000-2004), 4D reflection seismic data were used to map CO{sub 2} migration within the Midale reservoir, while an extensive fluid sampling program documented the geochemical evolution triggered by CO{sub 2}-brine-oil-mineral interactions. The aim of this task (3b.11) is to exploit these existing seismic and geochemical data sets, augmented by CO{sub 2}/H{sub 2}O injection and HC/H{sub 2}O production data toward optimizing the reservoir model and thereby improving site characterization and dependent predictions of long-term CO{sub 2} storage in the Weyburn-Midale reservoir. Our initial project activities have concentrated on developing a stochastic inversion method that will identify reservoir models that optimize agreement between the observed and predicted seismic response. This report describes the technical approach we have followed, the data that supports it, and associated implementation activities. The report fulfills deliverable D1 in the project's statement of work. Future deliverables will describe the development of the stochastic inversion tool that uses geochemical data to optimize the reservoir model.