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- W4242088944 abstract "A permeability model was developed for the reservoir within the Reservoir Characterization Project (RCP) study area at Postle Field, so that flow simulation could be performed. The biggest challenge was the heterogeneity within the reservoir, especially the presence of high permeability zones. The effects of these high permeability zones within a CO2 injection framework need to be analyzed in detail because the CO2 and miscible oil bank will flow through the path of least resistance and may cause early breakthrough and poor sweep efficiency. Permeability modeling based on multiple permeability distributions to characterize the Morrow A sandstone produced a more reliable reservoir model to simulate CO2 flooding within the fluvial system. The integrated permeability model was tested against a binary (sandstone — shale) model. A base case history match of liquid production (oil + water) was performed. This match showed that the performance of the integrated permeability model was better than the binary model with respect to matching early liquid arrival in specific wells High permeability zones within some wells were the cause of early fluid arrival and the integrated permeability model more accurately predicted these zones. An accurate characterization of these high permeability zones leads to a more reliable reservoir model for CO2 flow prediction." @default.
- W4242088944 created "2022-05-12" @default.
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- W4242088944 date "2010-01-01" @default.
- W4242088944 modified "2023-09-26" @default.
- W4242088944 title "Permeability prediction and its impact in reservoir modeling. Postle Field, Oklahoma" @default.
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- W4242088944 doi "https://doi.org/10.1190/1.3513306" @default.
- W4242088944 hasPublicationYear "2010" @default.
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