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基于叠后反演的煤层含气量预测研究

Research on Prediction of Gas Content in Coal Seam Based on Poststack Inversion

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【作者】 师素珍郭家成谷剑英李玉莹刘中元

【Author】 SHI Su-zhen;GUO Jia-cheng;GU Jian-ying;LI Yu-ying;LIU Zhong-yuan;State Key Laboratory of Coal Resources and Mine Safety, China University of Mining and Technology(Beijing);

【通讯作者】 郭家成;

【机构】 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室

【摘要】 为了准确对煤层含气量进行预测,以新景矿区3~#煤层为研究区,利用测井岩石物理分析的方法,对煤层含气量与多种物性参数进行交会分析,筛选出与含气量相关性高的参数,并得到与含气量的线性关系。在此基础上,利用叠后反演的方法,得到3~#煤层的纵波阻抗数据体,最后结合含气量与密度和纵波速度之间的线性关系,实现了3~#煤层含气量的预测研究,预测结果与实测值比较吻合。

【Abstract】 In order to accurately forecast coal seam gas content, regard the Xinjing mining area No.3 coal seam as the research target, and log gas physics analysis method was used to analyze the coal seam gas content and various physical parameters, select the parameters of the correlation between air content and high, and a linear relationship with the gas content. On this basis, the post-stack inversion method was used to obtain the longitudinal wave impedance data of No.3 coal seam. Finally, the linear relationship between the gas content, density, and the longitudinal wave velocity was used to realize the prediction and prediction of the gas content of the No.3 coal seam. The results are in good agreement with the measured values.

【基金】 国家青年基金项目(41702173);国家重点研发计划资助项目(2016YFC0501102)
  • 【分类号】P618.13
  • 【被引频次】2
  • 【下载频次】99
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