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产能预测目前仍处于不完善高风险的阶段,尤其是针对苏里格气田这种低孔隙度、低渗透率、低丰度的三低气藏,而利用测井静态资料预测储层产能,则可以较大程度上优化射孔层段选择,提高射孔效率,预测产能指导合理配产。针对SW区块目前处于评价建产阶段的特点,通过对试气试采资料的分析,基于静态的测井资料对储层的产能进行了预测,选取储能系数、渗流系数作为参数,对数据通过ward法聚为五类,然后用Fisher判别分析法进行回判,最终回判正确率达到94.4%,在此分类基础上建立了每类的产能预测函数,结果表明基于测井的静态资料在对产能预测方面也可以取得良好的效果,而相对于考虑很多动态的信息指标,为储层的产能预测提供了一种新的思路。
Capacity prediction is still in imperfect high-risk stage, especially for the low porosity, low permeability and low abundance of the three low gas reservoirs in the Sulige gas field, and the use of static data logging to predict reservoir productivity To a greater extent, we can optimize the selection of perforating interval, improve perforation efficiency, and predict production capacity to guide rational allocation of production. According to the fact that SW block is currently under evaluation of production and construction stage, through the analysis of test gas production and test data, the production capacity of the reservoir is predicted based on the static log data. The energy storage coefficient and seepage coefficient are selected as parameters. After the method of ward was clustered into five categories and then was re-judged by Fisher’s discriminant analysis method, the correct rate of final judgment was 94.4%. Based on this classification, the productivity prediction function of each type was established. The results show that the static data based on logging Good results can also be obtained in the prediction of production capacity, which provides a new idea for the production capacity prediction of reservoirs relative to the dynamic information indicators.