基于支持向量机的密井网水驱配注方法研究
[Abstract]:The western part of Sazhong Development Zone is the first productivity construction block in the implementation of secondary development project. The overall development effect is improved after the reconstruction of well pattern and the reorganization of strata, but the development effect of different reservoirs varies greatly. Through analysis, it is recognized that the block well group still has the potential to improve oil recovery, but it also faces the problems of remaining oil dispersion, more oil layers and well pattern density. In order to fully consider the influence of interlayer difference, reservoir correlation, pressure difference, material balance and energy balance on the water injection rate, the nonlinear relationship between the influencing factors and the water injection rate is better characterized, and the prediction accuracy of the interval water injection rate is improved. Based on support vector machine (SVM), the injection allocation system for the lower section of dense well pattern condition is established. By combining reservoir engineering method with grey correlation method and analytic hierarchy process (AHP), the best associated oil-water well group with good water flooding effect is obtained. The support vector regression method is used to establish the model for calculating the water injection rate in the interval. The average error of the model is 3 and the maximum error is 20. The model has high accuracy and reliability. The model is used to predict the water injection rate in 184 injection wells and 715 water injection zones in Sazhong Development Zone, and the water drive adjustment scheme of this block is obtained. The results of numerical simulation show that the water cut of this block decreases by 0.247 percentage points after the adjustment. With the decrease of water cut and the increase of oil production by 3.8702 脳 10 ~ 4 tons, the model has enough precision and value of field utilization. By studying the injection system of water injection wells and their best effective production wells, this paper can be extended to the production of the whole water injection well pattern in the western part of the central district, and the research results suitable for the well distribution under the condition of dense well pattern are obtained. It can guide the adjustment of water drive development in the next step, and it is also of great significance to the research and popularization of injection allocation under the condition of other dense well pattern.
【学位授予单位】:东北石油大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TE357.6
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