测井资料预测碳酸盐岩储层渗透率  

Calculation of Carbonate Reservoir Permeability with Log Data

作　　者：刘晓东[1] 符伟兵[1] 李强[1] 

机构地区：[1]成都理工大学能源学院,四川成都610059

出　　处：《内蒙古石油化工》2009年第6期102-104,共3页Inner Mongolia Petrochemical Industry

摘　　要：碳酸盐岩储层大多发育裂缝。其渗透率不仅仅受到基质孔隙度的影响,而且受到裂缝的影响。文章通过交会图技术分析,认为本地区的渗流方式可分为基质渗流和裂缝渗流。求取裂缝孔隙度等参数,并将其作为建立人工神经网络预测渗透率模型的一个输入。建立的模型预测储层渗透率结果与岩心分析值相比较有很好的吻合性,对储层的评价有很重要的参考价值。Carbonate reservoir mostly develop fractures.The permeability not only is impacted by the matrix porosity,but also by the fracture.By using crossplot analysis technical,the ways of flowing in this area can be diveded into the matrix flowing and fracture flowing.An artificial neural network model which is used to Calculate the permeability is created by Calculating the fracture porosity and taking it as one kind of input of the ANN model.This model predicts an import penetration,and the result perfectly matc...

关 键 词：测井资料 碳酸盐岩 渗透率 基质渗流 裂缝渗流 裂缝孔隙度 

分 类 号：P631.8[天文地球—地质矿产勘探]