摘要
以研究区测井参数资料及地层定性为基础,运用IBM SPSS软件将测井密度(DENB)、三侧向电阻率(LL3)、自然伽马(GR)数据进行数理统计,建立岩盐矿品位与测井参数的相关性关系,并利用多元线性回归模型获得岩盐矿的拟合品位。通过实测岩盐矿品位与拟合岩盐品位的对比分析,表明所建立的数学模型对钻孔岩盐品位的计算可以起到一定的提前预判和指导取样分析的作用,为今后利用测井资料预测钻孔岩盐矿品位提供新的思路。
On the basis of study area well logging parameter data and strata qualitative interpretation,using IBM SPSS software has carried out mathematical statistics for logged density(DENB),laterolog-3 resistivity(LL3)and gamma-ray(GR)logged data to establish correlativity between halite ore grade and well logging parameters,then using multivariate linear regression model has acquired halite ore fitting grade.Through comparative analysis of halite ore measured grade and fitting grade has shown that the established mathematical model can play the role to predict ahead of time and guiding sampling analysis to some extent.The study has provided a new idea on using well logging data to predict borehole halite ore grade henceforth.
作者
陈少泽
张媛
张华
Chen Shaoze;Zhang Yuan;Zhang Hua(Ningxia Geophysical and Geochemical Survey,Yinchuan,Ningxia 750001)
出处
《中国煤炭地质》
2022年第7期67-70,共4页
Coal Geology of China
基金
宁夏深部探测方法研究示范创新团队项目“固原地区深部构造格架及其演化特征研究”(KJT2019005-02)。
