摘要
依据我国西部某油田自然伽马能谱测井资料和粘土矿物分析资料，提出了条件交会图法。应用自然伽马能谱测井原理开发的软件，参考斯仑贝谢理论交会图版，并利用钾钍交会图对大量测井资料进行了分析。由钾钍交会图可以识别出不同井段上粘土矿物组合类型的变化规律，采用分段统计建模和预测的方法以及多元线性逐步回归分析法，建立了粘土矿物类型及含量计算模型。运用这些模型对某油田２口井的岩心进行了粘土含量计算。
A new method of conditional crossplot is proposed, and a software is developed on
the basis of natural gamma\|ray spectrum logging data and core X\|ray analysis data.
According to the interpretation charts of Schlumberger, a large number of data from oil well are
analyzed by using K\|Th crossplots. Some changing laws of clay types in different sections of a
well can be recognized from the crossplot. The calculation and prediction models developed for
different sections in borehole and multi\|variable linear regression method are used to
determine the types and contents of clay. The calculation results are in good agreement with
those of core analysis.\=
出处
《石油大学学报（自然科学版）》
CSCD
1999年第4期29-32,共4页
Journal of the University of Petroleum,China(Edition of Natural Science)
基金
中国石油天然气集团公司重点科研项目
关键词
伽马能谱测井
粘土矿物
类型
模型
放射性测井
natural gamma ray spectrometry logging
clay mineral
type
content
calculating model\=
