The decline in discovery of big conventional oil fields coupled with the continued rise in global energy needs pro‎mp‎ted the world to reconsider how to manage oil resources. These days, the focus in extracting as much oil as they from the developed fields. As a result of that, they apply EOR method an‎d try to develop this method which consider the last production stage form the reservoir. These EOR methods aimed to increase the recovery for formation, while more large quantities of oil are remaining after the primary extraction an‎d secondary water flooding. On other han‎d, EOR methodes has been developed in last years, among them there is ASP method that mix Alkali, Polymer an‎d surfactant matrials, so it is a highly advanced technique. It is primarily used to address two major problems: small oil dro‎plets that become stuck due to capillary forces, an‎d large-scale oil overflow due to the uneven nature of the reservoir. In this research, we performed a detailed simulation using the CMG STARS simulator, a tool that deals with steam, heat an‎d other advanced recovery processesThe aim was to determine the success rate of ASP immersion in a heterogeneous reservoir with varying properties. The inverted seven-point pattern was used on a field scale. The study meticulously compares ASP immersion an‎d natural drainage, regular immersion in water, an‎d injection of only individual components, such as polymers, surfactants, an‎d alkalis. The results show that with optimizationASP flooding can produce up to 108,000 cubic meters of oil. This is double the amount produced by conventional water flooding (58,000 cubic meters) an‎d significantly better than polymer flooding alone, which produces up to 88,000 cubic meters. These results confirm that Intensive Surface Tension Reduction (IFT) an‎d motion control technologies are highly efficient. In addition, the study used the CMOST computational modeling an‎d sensitivity enhancement tool to conduct a detailed probabilistic sensitivity analysis. The results showed that surfactant concentration was the most influential factor, contributing 61% to the variance in recovery. The polymer concentration comes in second at 33%, while the alkali concentration plays a smaller role at 5.3%. The study concludes by highlighting a five-stage injection strategy capable of recovering approximately 138,000 cubic meters of fluid. This represents an increase of approximately 23% compared to the original ASP design. The report also considers important operational factors, such as managing the produced water an‎d ensuring its stable flow, providing a comprehensive overview of the effectiveness of the ASP approach an‎d how it works.

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محسن محمدي , روح اله هاشمي