基于模糊聚类、神经网络等常用测井岩性识别方法,提出应用信息粒(Information Granulation)技术建立测井数据到岩性知识的映射模型.并以中国大陆科学钻探(CCSD)的测井数据为例,详细介绍了这种岩性解释方法的应用过程及其所取得的良好应用效果.%By analyzing some data processing methods which are common used in well-logging as fuzzy clustering, Artificial neural network etc. the paper consequently presents the method based on information granulation (IG) to construct the mapping model from well-logging data to lithol-ogy knowledge. Take the well - logging data from Chinese continental scientific drilling (CCSD) as an instance, the author described how to establish such interpretation model and an excellent results it had achieved.
展开▼