| 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) |
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| 引用本文： | 祁雪梅,张绍聪.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)[J].应用地球物理,2012,9(1):80-86. |
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| 作者姓名： | 祁雪梅 张绍聪 |
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| 作者单位： | 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 |
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| 基金项目： | 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 |
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| 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。
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| 关 键 词： | D-S证据理论 煤层气 地震属性 融合 |
Application of seismic multi-attribute fusion method based on D-S evidence theory in prediction of CBM-enriched area |
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| Xue-Mei Qi,Shao-Cong Zhang.Application of seismic multi-attribute fusion method based on D-S evidence theory in prediction of CBM-enriched area[J].Applied Geophysics,2012,9(1):80-86. |
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| Authors: | Xue-Mei Qi Shao-Cong Zhang |
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| Institution: | 1. 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 |
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| 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. |
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| Keywords: | D-S evidence theory CBM seismic attributes fusion |
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