利用测井资料进行井眼崩塌现象的分类与识别  

Classifications and recognition of collapse behavior of a borehole from well logs.

作　　者：郑小武[1] 冉家琼[2] 

机构地区：[1]中国地质大学 [2]清华大学

出　　处：《石油勘探与开发》1999年第5期59-61,共3页Petroleum Exploration and Development

摘　　要：从岩石力学的角度详尽分析了井眼崩塌现象的成因和结果，并从地层倾角测井获得的双井径曲线响应特征中提取有效特征，对井眼崩塌、井眼缩径、井眼冲蚀和井眼完整等现象进行了归类。提出了用模糊隶属度函数建立井眼崩塌现象的模糊规则，并提出了利用这些模糊规则和自组织神经网络对井眼崩塌现象进行两步分类和识别的新方法。通过实际资料的处理验证了方法的有效性。图４ 参３（ 邹冬平摘）The reasons and consequences of unstable boreholes have been analyzed in this paper from rock mechanics viewpoint. Four types of compressive failure, breakouts, washouts, reduced borehole diameters and in gauges, are classified and recognized based on the fuzzy rules and self organization feature map neural network. Several features are extracted from well logs, from which the membership functions are constructed. The methodology has been proved by the field examples.

关 键 词：测井资料 井眼崩塌 分类 识别 钻井 井眼稳定 

分 类 号：TE28[石油与天然气工程—油气井工程] TE26