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AVO技术预测构造煤实例研究
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  • 英文篇名:Prediction of tectonically deformed coal by AVO technology: a case study
  • 作者:金俊俊 ; 陈同俊 ; 李娟娟
  • 英文作者:JIN Jun-jun;CHEN Tong-jun;LI Juan-juan;School of Resources and Geoscience,China University of Mining and Technology;IoT Perception Mine Research Center,China University of Mining and Technology;
  • 关键词:构造煤 ; 交会图 ; 伪泊松比 ; 煤层破坏程度 ; 指示因子
  • 英文关键词:tectonically deformed coal;;cross plot;;pseudo-Poisson's ratio;;coal seam deformed degree;;indicator
  • 中文刊名:DQWJ
  • 英文刊名:Progress in Geophysics
  • 机构:中国矿业大学资源与地球科学学院;中国矿业大学物联网研究中心;
  • 出版日期:2018-08-15
  • 出版单位:地球物理学进展
  • 年:2018
  • 期:v.33;No.150
  • 基金:国家自然科学基金项目(41774128,41704115);; 江苏省自然科学基金资助项目(BK20170271)联合资助
  • 语种:中文;
  • 页:DQWJ201804025
  • 页数:6
  • CN:04
  • ISSN:11-2982/P
  • 分类号:177-182
摘要
构造煤预测对于煤矿生产安全具有重要意义.本文根据实测煤样弹性参数建立AVO正演模型,通过研究构造煤P、G属性交会图分布规律发现,沿背景趋势线方向指示了煤层破坏程度,据此提出煤层破坏程度指示因子预测构造煤分布.通过与常规伪泊松比识别构造煤方法进行对比,发现基于交会图分析计算得到的煤层破坏程度指示因子与构造煤发育具有更好的一致性,区分不同结构煤体的能力也有所提高.
        The prediction of tectonically deformed coal is of great significance to mining safety. Based on the measured elastic parameters of coal samples,we built a set of AVO forward models. Through studying the distribution characteristics of P and G attribute in cross plot,we found that the degree of coal seam deformation is indicated along the direction of background trend line and defined an indicator of coal seam deformation degree to predict the distribution of tectonically deformed coal. The fracture of tectonic coal is more developed than the primary coal which leads to higher Poisson's ratio. Therefore,the pseudo-Poisson's ratio derived from Shuey equation can also effectively identify tectonic coal. Case study shows that the coal seam deformation degree indicator is more consistent with coal structure and distinguishes it better.
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