Adaptability Evaluation And Optimum Combination Of Various Measures Of Dongxin Block Reservoir

Along with oilfield developing, most existing oilfield in China have come into high water cut period . at present, most of the oil production came from the old oilfield, in China. it is more and more difficult to develop the old oilfield further, and there emerges more and more measures annually. Therefore, it is necessary to evaluate the effect and adaptability of the production-maintained measures.Because the single factor appraisal method for evaluation the effect of profile control measures is not integrated, a comprehensive fuzzy appraisal, which combined several indices including production performance data, water flooding curves, monitoring data and economy assessment, is used to evaluate the effects of the profile control measures. The analytic hierarchy process is applied to determine the weighing coefficient of these indices. The result of the evaluation is classified according to the optimal partition method and analysis shows that effects of 32 times of profile control treatment in Dongxin oil field should be sorted into 5 classes to obtain a minimum error and a clear classification. This result shows that the comprehensive fuzzy appraisal method, which avoids the unilateralism of single factor evaluation, reflects the effects of profile control measures objectively and makes the appraisal systematical and quantitative.Oilfield development is a continuous procedure, which has long developing period and cannot be repeated. The whole developing procedure is a complicated project with repeated practice and repeated recognition, which net only includes petroleum science, but also involves some other knowledge. In order to improve developing benefits furthest, it is very necessary to acquire lowest input-output rate permitted under economic condition, by applying modern science, making synthetic study on oilfield developing, and optimizing developing plan.According to the actual production performance of oilfield, the multi-target system of incremental oil production was determined and the goal programming model was also established. This model set the smallest deviation as the target value, and then processed the solution of multi-target in terms of the alphabetical order, which avoided the weight processing. Taking the uncertainty of measures into consideration, this model used the random numbers instead of the specific values, and then it was solved with the genetic algorithm. The result in the application of oilfield indicated that this model could reflect the actual conditions of oilfield from model building as well as the calculated result.The research has involved in many respects. Building uncertainty model of measure allocation of water flooding oilfield to realize multi factors input and multi result output; combining program with simulation; developing computer software with good practicability; and applying in oilfield producing. Applying of modern science synthetically is a powerful tool in oilfield development, especially some advanced theories and edge sciences.