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。本文提出了表征油藏非均质性的一种人工神经网络途径，介绍了用ＡＮＮ技术建立较为可靠的孔隙度、渗透率解释模型。
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.
出处
《石油实验地质》
CAS
CSCD
北大核心
1999年第2期161-165,共5页
Petroleum Geology & Experiment
关键词
非均质性
神经网络
孔隙度
渗透率
油层
artifical neural networks
heterogeneity
porosity
permeability
