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现代矿业 ›› 2025, Vol. 41 ›› Issue (09): 187-192.

• 地质·测量 • 上一篇    下一篇

梁家煤矿油页岩含油率与测井曲线相关性研究

闫顺尚1 韦 欣1 成文举2 刘 晓1 肖 坤3 邰淑贞2   

  1. 1. 山东省煤田地质局第五勘探队;2. 山东科技大学地球科学与工程学院; 3. 山东黄金矿业(沂南)有限公司
  • 出版日期:2025-09-25 发布日期:2025-11-07

Research on Correlation between Oil Content and Logging Curve of Oil Shale in Liangjia Coal Mine

  1. 1. The Fifth Exploration Team of Shandong Coalfield Geological Bureau;2. College of Earth Science and Engineering,Shandong University of Science and Technology;3. Shandong Gold Mining (Yinan) Co.,Ltd.
  • Online:2025-09-25 Published:2025-11-07

摘要: 为探索油页岩含油率与测井曲线之间的关系,以龙口梁家煤矿为例,在已有测井资料 的基础上,对各钻孔油页岩段的测井曲线进行重新对比和解释,确定其层位、结构及厚度。通过对测 井曲线与含油率化验成果的相关性研究和数理统计分析,运用最小二乘法找出含油段岩层的测井曲 线与化验结果的关系。结果表明:油页岩层及煤层在测井曲线上均有较好的反映特征,相应的地质 特征及层位能够被清晰识别;各层位油页岩厚度分布不均,所选取的研究层位含油率较高;含油率与 人工伽马、视电阻率相对误差较小、相关性较好,可以应用于油页岩含油率的准确、快速识别。研究 结果为油页岩含油率的估算提供了一种简单快捷的计算方法。

关键词: 油页岩, 含油率, 最小二乘法, 测井曲线

Abstract: In order to explore the correlation between oil content and logging curve of oil shale,take Longkou Liangjia Coal Mine as an example,based on the existing logging data,the logging curves of oil shale sections in each borehole are re-contrasted and interpreted to determine their horizons,structure and thickness. Through the correlation study and mathematical statistics analysis of the logging curve and the oil content test results,the least square method is used to find out the correlation between the logging curve and the test results of the oil-bearing strata. The results show that the oil shale layer and coal seam have good reflect characteristics on the logging curve,and the corresponding geological characteristics and horizons can be clearly identified. The thickness distribution of oil shale in each layer is uneven,and the oil content of the selected research layer is high. The relative error between oil content and artificial gamma and apparent resistivity is small,and the correlation is good. It can be applied to the accurate and rapid identification of oil content of oil shale. The research results provide a simple and quick calculation method for the estimation of oil shale oil content.

Key words: oil shale, oil content, least square method, logging curve