摘要
为了更好地研究裂缝性砂砾岩储层和其它裂缝性储层裂缝的测井解释问题，综述了目前在裂缝性储层裂缝测井解释中主要采用的常规评价、人工神经网络和斯通利波３类方法在识别裂缝带和定量计算储层裂缝参数两个方面的应用原理和研究现状，并指出了今后的一些研究方向。
To more effectively study the fracture interpretation of the fractured sandy conglomerate,the principles and the present situation of the researching methods including the routine evaluation approach,the neural network approach and the Stoneley wave approach for identifying the fractured zones and quantitatively calculating the fracture parameters of reservoirs are summerized and some of the developing tendencies are pointed out.
出处
《地质科技情报》
CAS
CSCD
北大核心
1998年第1期85-90,共6页
Geological Science and Technology Information
关键词
常规评价
神经网络
裂缝带
油气田
测井
储集层
routine evaluation,neural network,Stoneley wave,fractured zone,fracture parameter
