摘要
由于非试验手段的传统岩性识别方法往往具有一定的模糊性和多解性,故利用岩心观察和薄片分析难以对全井眼地层剖面岩性进行描述。然而最及时的岩屑录井资料携带信息量又有限,且受人为因素影响较大,因此地层岩性仍然是一个值得探讨的研究对象。模糊模式岩性识别具有信息容量大、易进行程序化快速实现及同时充分利用自然伽马、中子、声波时差、密度和电阻率等测井数据蕴涵的岩性信息,在不提供取心样本的情况下,自动对原始测井数据进行分析分类,并对全井段岩性进行连续划分等优势。为了能够充分利用地层测井信息提高岩性识别精度,其构建了同时考虑声波时差、中子、密度、自然伽马和电阻率信息在内的新的三孔隙度复合变量,并将该复合变量作为模糊模式岩性识别的输入参数;同时基于模糊理论编制了岩性快速识别软件,该软件采用多种贴近度计算模型来开展岩性分析,可以录入多条测井曲线对大量井剖面岩性进行连续判别,能够适用于不同复杂地层的岩性识别需求。基于三孔隙度复合变量的地层岩性模糊模式在普光气田的应用结果表明,该方法识别精度高,应用前景广阔。
Because traditional lithological identification by non-experimental methods had a certain ambiguity and multiplicity,thus core observation and slice analysis were difficult for describing full hole lithology in stratigraphic section.However,the most timely data from the drill cutting logging carried limited amount of information and was influenced highly by human factors,therefore formation lithology was still a topic for studying.Fuzzy pattern recognition of lithology had a large volume of information for easily implementing program quickly and included in lithologic data,such as the natural gamma,neutron,sonic,density and resistivity logging data.Without coring samples,it could automatically analyze the original log data for a classification,and identify the lithology continuously in the whole well.In order to take full advantage of logging information,to improve recognition accuracy of logging information a 3porosity composite variable taking into account of the sonic,neutron,density,gamma ray and resistivity information was established,which was used as a input parameter for fuzzy pattern lithological recognition.At the same time,based on the fuzzy theory,a software was developed for identifying the lithology quickly.A variety of closeness degree calculating models wereused in the software for the analysis of lithology.multiple logs could be plotted to continuously distinguish was developed in a large number of well sections and could satisfy the requirement of lithological identification in complex formation.The application of the technology in Puguang Gas Field shows that based on three porosity compound variable,formation lithological fuzzy pattern recognition's accuracy is high enough and it has wide prospects of application.
出处
《长江大学学报（自科版）（中旬）》
CAS
2015年第9期27-32,4-5,共6页
Journal of Yangtze University(Nature Science Edition)
关键词
岩性识别
模糊模式
孔隙度复合变量
软件
lithological recognition
fuzzy pattern
porosity compound variable
software
