利用测井资料预测辽河小洼油田东营组油气产能  

Productivity Prediction of Dongying Formation Reservoir with Log Data in Liaohe Xiaowa Oilfield

作　　者：谭成仟[1] 吴少波[1] 宋子齐[1] 

机构地区：[1]西安石油学院,陕西西安710065

出　　处：《新疆石油地质》2001年第2期147-149,共3页Xinjiang Petroleum Geology

摘　　要：油气的产能影响因素可分为人为因素和储集层因素两类，一个油区，在各种作业方式等人为因素大致相同的前提条件下，产能主要取决于储集层的性质。从达西二维产量公式出发，研究了产能的理论方程，以相对渗透率与含水饱和度的函数关系为纽带，导出产能与有效孔隙度、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，将其作为综合评价的参数，采用人工神经网络技术建立了产能预测系统，该方法用于辽河油田小洼地区东营组的油气产能预测，效果良好，从而证实了方法的有效性。The factors that will affect petroleum productivity can be divided into two categories namely the artificial factors and reservoir factors． For a specific oil zone under the roughly similar artificial operating conditions its productivity will mainly depend upon reservoir property． Based on Darcy＇s two-dimensional productivity formula this paper studied the theoretical equation of productivity using the function relation between relative permeability and water saturation as a linkage and derived multivariant relational expression between the effective porosity permeability and resistivity． Then combined with theory of well logging taking it as a parameter for comprehensive evaluation adopting the artificial nervous network technique this method has been applied to productivity prediction of Xiaowa region＇s Dongying formation of Liaohe oilfield． The results are good and verified the usefulness of the method．

关 键 词：油气 产能预测 辽河油田 储集层 相对渗透率 含水饱和度 测井资料 东营 洼地 有效孔隙度 

分 类 号：TE122[石油与天然气工程—油气勘探] P618[天文地球—矿床学]