涠西南凹陷烃源岩有机碳含量测井预测模型优选及应用

Optimization and application of logging prediction models for organic carbon content of hydrocarbon source rocks in Weixinan Sag

针对烃源岩取心数量少及实测样品分布连续性差等问题,对烃源岩整体评价存在困难,利用测井资料建立与有机碳含量(TOC)之间的关系,进行烃源岩评价具有较好效果。采用测井曲线叠合模型(?log R技术)和多元线性回归方程模型,对北部湾盆地涠西南凹陷C洼流沙港组烃源岩有机碳含量进行预测,获得烃源岩连续TOC曲线。研究结果表明,研究区?log R方法TOC计算值与TOC实测值拟合曲线相关系数达到0.8,效果明显好于多元回归方法。

In view of the lack of coring number and the poor succession of sample distribution in practice and the others,there is difficult in the overall evaluation of hydrocarbon source rocks. Building the relationship between logging data and organic carbon content（TOC） has a good effect on the hydrocarbon source rock evaluation. This paper applies the well-logging stack model（？log R technology） and multiple linear regression equation model to predict the content of organic carbon of the hydrocarbon source rocks in the C hollow Liushagang formation reservoir in the Weixinan sag,Beibu gulf basin and obtains the continuous TOC curve of hydrocarbon source rocks. The results show that the correlation coefficient of fit curve between TOC calculation values by using ？log R model and practical TOC measurement values reaches 0.8,which is obviously better than the multiple regression method.