节点文献

基于D-S证据理论的地震多属性融合方法在煤层气富集区预测中的应用(英文)

Application of seismic multi-attribute fusion method based on D-S evidence theory in prediction of CBM-enriched area

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 祁雪梅张绍聪

【Author】 Qi Xue-Mei1,2 and Zhang Shao-Cong31. School of Resource and Earth Sciences, China University of Mining and Technology, Xuzhou 221116 2. State Key Laboratory of Deep Geomechanics and Underground Engineering, China University of Mining and Technology, Xuzhou 221116 3. Non-Ferrous Metal Exploration and Development Bureau of Jiangxi Province, Nanchang 330001

【机构】 中国矿业大学资源与地球科学学院中国矿业大学岩土力学与工程国家重点实验室江西有色地质勘查局

【摘要】 D-S证据理论为融合不确定信息提供了一条很好的思路。本文提出将D-S证据理论用于地震多属性融合的方法,首先在钻孔实测煤层气含量值的指导下优选对煤层气含量值变化敏感的地震属性,然后基于D-S证据理论对优选的地震属性进行融合处理,并将融合结果用于煤层气富集区的预测。实际应用效果表明:预测结果与钻孔实测煤层气含量值基本吻合,本文提出的基于D-S证据理论的地震多属性融合方法用于预测煤层气富集区是可行的。

【Abstract】 D-S evidence theory provides a good approach to fuse uncertain information. In this article, we introduce seismic multi-attribute fusion based on D-S evidence theory to predict the coalbed methane (CBM) concentrated areas. First, we choose seismic attributes that are most sensitive to CBM content changes with the guidance of CBM content measured at well sites. Then the selected seismic attributes are fused using D-S evidence theory and the fusion results are used to predict CBM-enriched area. The application shows that the predicted CBM content and the measured values are basically consistent. The results indicate that using D-S evidence theory in seismic multi-attribute fusion to predict CBM-enriched areas is feasible.

【关键词】 D-S证据理论煤层气地震属性融合
【Key words】 D-S evidence theoryCBMseismic attributesfusion
【基金】 supported by the National Basic Research Program of China (973 Program) (No. 2009CB219603);Key Special National Project (No. 2008ZX05035);Priority Academic Program Development of Jiangsu Higher Education Institutions
  • 【文献出处】 Applied Geophysics ,应用地球物理(英文版) , 编辑部邮箱 ,2012年01期
  • 【分类号】P618.13;P631.4
  • 【被引频次】8
  • 【下载频次】267
节点文献中: 

本文链接的文献网络图示:

本文的引文网络