摘要
从达西二维产量公式出发 ,研究储层产能的理论方程 ,通过相对渗透率与含水饱和度的函数关系为纽带 ,导出油气储层产能与储层有效孔隙度、渗透率以及电阻率之间的多元关系式 ,在此基础上 ,结合测井学的基本理论 ,探讨了利用测井资料进行储层产能预测的基本思想 ,最后采用人工神经网络技术建立了储层产能预测系统 ,该方法用于辽河油田滩海地区海南构造带东营组三段储层的油气产能预测 ,效果良好 。
The expression of reservoir productivity was derived from Darcy's two dimensional production formula by means of the relationship between the water saturation of the reservoir and its resistity and permeability. The reservoir productivity is the function of effective porosity, permeability and resistity. The authors discussed the method of predicting reservoir productivity according to log data. The reservoir productivity prediction system was estabilshed by neural network technique. The predicted results of 89.5% in 19 tested wells of Liaohe Oilfield are identical with real testing results. (Xi'an Petroleum Institute, Xi'an, Shaanxi 710065,China)
出处
《西安石油学院学报（自然科学版）》
2001年第3期21-24,共4页
Journal of Xi'an Petroleum Institute（Natural Science Edition)
关键词
辽河油田
滩海地区
油气产能预测
神经网络
测井资料
储集层
Liaohe Oilfield, Tanhai area, oil and gas productivity prediction, neural network, log data, reservoir
