用人工神经网络描述丘陵油田油层非均质性

A METHODOLOGICAL APPROACH FOR RESERVOIR HETEROGENEITY CHAR ACTERIZATION OF QIULIN OIL FIELD USING ARTIFICAL NEURAL NETWORKS

  • 摘要: 油层的非均质性归因于岩石特性的非均质和非线性空间分布,而孔隙度和渗透率是非均质性的集中表现。近年来,人工神经网络(ANN)技术在油藏描述中的应用十分广泛,使用ANN技术为试井选择合适的油藏模型则更具实用性。

     

    Abstract: Porosity and permeability are the best show of reservoir heterogeneity which is because of the heterogeneity and nonliner spatical distribution of the rocks.In recent years,there is a wide application of ANN in reservoir description and more application can be found in using ANN to choose exact reservoir model for well test.This paper suggested an ANN-way to descripe reservoir heterogeneity and to build a rather reliable interpretation model of porosity and permeability.Also,by this way,a study was done to reservoir physical properties in Sanjianfang Formation,Qiulingoil field.

     

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