摘要
在物性分析资料和薄片观察的基础上,确定主要地层组分的常规测井响应值和ECS测井元素含量响应值。根据地层组分分析模型,建立了密度、声波、中子、自然伽马以及铝、硅、钙、铁元素含量的测井响应方程。计算了7种主要地层组分(包括岩石骨架、流体)的相对体积含量,并据此识别火山岩岩性。利用自主研发的测井资料处理解释软件,对三塘湖盆地A区火山岩进行岩性测井识别。识别结论与薄片观察结果进行了对比,表明岩性识别效果好,提高了识别准确率。该方法可为其他地区火山岩、甚至碳酸盐岩等复杂岩性储集层的岩性识别提供一定的参考和借鉴,提出了ECS测井资料的应用新手段。
On the basis of physical property data and rock sections, identified are the conventional logging responses and elements content responses about the main components of stratum. Ac- cording to the group stratum model, deduced are the logging response equations of density, a- coustic travel time, apparent neutron, gamma ray and aluminum, silicon, calcium and iron. The relative volume content of 7 stratum components （including the rock matrix and fluid） is calculat- ed, so as to identify the igneous rock lithology with logging data. The log data of igneous sec- tions in Santanghu basin are processed using the software developed by ourselves. The identifying result is contrasted with the rock sections, and the accuracy of lithology identification is greatly improved. Not only the method provides some reference for lithology identification of other igneous rocks and carbonates, but also provides new means for using ECS logging data.
出处
《测井技术》
CAS
CSCD
北大核心
2012年第1期29-32,共4页
Well Logging Technology
关键词
测井解释
地层组分
岩性识别
火山岩
物性分析
测井响应
log interpretation, stratum component, lithology identification, igneous rock, physical property analysis, log response
