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

谢丛姣 关振良

XIE Congjiao GUAN Zhenliang

中国地质大学 石油系, 武汉 430074

China University of Geosciences, Wuhan 430074, China

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。

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.

https://doi.org/10.11781/sysydz199902161