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- W2034996908 abstract "Abstract Forecasting the performance of enhanced oil recovery (EOR) processes plays an important role in EOR study, design and selection of the best enhanced oil recovery method for a particular reservoir. However, lack of a general purpose EOR forecasting model is unsatisfactory. We address this deficiency by presenting a novel analytical-base general EOR forecasting model that does not rely on conventional numerical simulation. Using the concepts of segregated flow, material balance and fractional flux (F-C or F-Phi) arrive at a general approach for modeling different isothermal EOR processes including chemical EOR (polymer, surfactant-polymer and alkaline surfactant polymer flooding), solvent flooding (miscible/immiscible, continuous gas flood and WAG) and also waterflooding. We used a Koval flow-storage capacity (F-C) model in the current research because of its strength and wide applicability for both homogenous and heterogeneous permeable media. The validity of the forecasting model was investigated by matching numerous secondary and tertiary field, pilot and simulation results. History matching showed good agreement between field data and forecasting results. The forecasting model demonstrates a strong ability to forecast the oil saturation, recovery efficiency, cumulative oil recovery, oil cut and oil rate changes with time for secondary and tertiary recovery methods. In addition, predicting the recovery efficiency enables us to generate the volumetric efficiency change with time which is of great importance for studying the EOR processes. These valuable results are produced using a few input variables." @default.
- W2034996908 created "2016-06-24" @default.
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- W2034996908 date "2011-10-30" @default.
- W2034996908 modified "2023-10-18" @default.
- W2034996908 title "General Isothermal Enhanced Oil Recovery and Waterflood Forecasting Model" @default.
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- W2034996908 doi "https://doi.org/10.2118/143925-ms" @default.
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