Research On The Potential Evaluation Method For Enhanced Oil Recovery

The paper mainly studies the technical and economic evaluation method of enhanced oilrecovery. By analyzing the shortcomings of the existing potential evaluation method and thesoftware, improves the potential evaluation method, develops more perfect, more intelligentpotential evaluation software, develops development effect evaluation software in the processof implementation and subsequent potential evaluation software for enhanced oil recoveryproject; studies economic evaluation methods and develops economic evaluation software;carries out example verification of potential evaluation method and software, carries outsensitivity analysis, verifies the scientific nature, the feasibility of the theory model.Development mode and reservoir parameters screening principlesare are put forward forenhanced oil recovery in the paper.Using of hybrid intelligent systems theory, designs a morereliable screening method, namely using the hybrid intelligent system, the symbolic expertsystem and artificial neural network are integrated closely together, optimizing the structureof neural network by symbolic expert system, using the neural network to obtain the desiredparameters knowledge of the enhanced oil recovery exploitation mode selection. The systemrealizes the fuzzy knowledge representation, hierarchical organization of knowledge base,fuzzy reasoning of knowledge.The paper establishes a potential evaluation model of enhanced oil recovery, includingnot only the mathematical model for numerical simulation, but also the empirical model forrapid potential evaluation. The empirical model determines the basic theory of the applicationis different from the conventional numerical simulation theory, must be simplified; Factors toconsider is not as much as possible, does not accurately describe actual physicochemicalphenomena,but only need to consider the main influencing factors, processing method andprocessing process of parameters are simplified relatively, but also to ensure the modelpractical. In this paper. Summarizes and infers potential evaluation model of enhanced oilrecovery based on the empirical formula method.The distribution theory describes the oildisplacement process of enhanced oil recovery.The statistical method is used for prediction of polymer flooding oil production andwater content.The prediction model method is a method for the prediction of whole process, isthe oil well production prediction model based on mathematical statistics. The method is usedfor the potential evaluation of development dynamic state of enhanced oil recovery, not forpotential investigation before development, provide decision support for the dynamicdevelopment process of enhanced oil recovery.A economic evaluation model of enhanced oil recovery is built, using the all-factorsanalysis method and incremental analysis method.Discusses enhanced oil recovery potential evaluation software system overall design, thealgorithm design, coding, testing and field application results. According to the potential evaluation model and intelligent screening methods ofenhanced oil recovery,developed enhanced oil recovery potential evaluation software, andusing the developed potential evaluation software,mades potential evaluation on the part ofsome oilfield block, calculation results and sensitivity analysis of the models achieves thedesired effect.