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文章从储层的测井资料特征分析入手,通过标准化处理,利用岩芯分析建立处理模型,应用全模糊聚类技术进行综合分析。最终以压裂资料为样本,利用神经网络技术对储层的改造效果预测,取得了较好的应用效果,为增产措施的实施提供指导性资料。
Based on the analysis of the characteristics of well logging data in reservoir, the paper established a processing model by using core analysis through standardization and comprehensive fuzzy clustering analysis. In the end, fracturing data are taken as a sample to predict the retrofit effect of the reservoir by using neural network technology. The results have achieved good results and provide guidance information for the implementation of stimulation measures.