煤系烃源岩有机质丰度测井曲线预测方法研究

Study on logging curve prediction method of arganic matter abundance in coal measure hydrocarbon source rock

为探究煤系烃源岩有机质丰度与测井数据之间的关系,选取冀中坳陷苏50探井石炭-二叠系煤系烃源岩地层为研究对象,根据有机碳含量将煤系烃源岩划分为暗色泥岩、碳质泥岩和煤。分别运用ΔlogR法和多元回归法对该区有机碳含量进行预测及对比分析,结果发现:运用ΔlogR法计算煤系烃源岩中的有机碳含量,在暗色泥岩和煤层中的预测效果较好;通过建立测井参数与有机碳含量之间的关系,选取相关系数大的声波时差和密度参数对暗色泥岩进行多元回归,运用自然电位和密度参数通过多元回归计算煤层有机碳含量,得到其与实测有机碳含量基本一致,具有好的预测效果。

In order to explore the relationship between organic matter abundance in coal measure hydrocarbon source rock and the logging data,a Carboniferous-Permian coal measure hydrocarbon source rock stratum in Su 50 exploration well of Jizhong Depression Area was selected as the study object,based on the organic carbon content,the coal measure hydrocarbon source rock was divided to a dark mudstone,carbonaceous mudstone and coal. ΔlogR Method and multiple regression method were individually applied to the prediction and comparison analysis on the organic carbon content in the area. The results showed that ΔlogR Method was applied to calculate the organic content of the coal measure hydrocarbon source rock and the prediction effect of the dark mudstone and seam was good. With the establishment of the relationship between the logging parameters and the organic carbon content,a multiple regression on the dark mudstone was conducted with the selected related high coefficient acoustic travel time and density parameters. The natural potential and the density parameters were applied to the multiple regression calculation of the seam organic carbon content. A relative error of the calculated organic carbon content and the measured organic carbon content was the same basicly and a good prediction effect was obtained.