Application of seismic multi-attribute fusion method based on D-S evidence theory in prediction of CBM-enriched area*
Qi Xue-Mei1,2 and Zhang Shao-Cong3
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
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.
QI Xue-Mei,ZHANG Shao-Cong. 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.
[1]
Beynon, M., Cosker, D., and Marshall, D., 2001, An expert system for multi-criteria decision making using Dempster