D-S evidence theory provides a good approach to fuse uncertain inlbrmation. In this article, we introduce seismic multi-attribute fusion based on D-S evidence theory to predict the coalbed methane （CBM） concentrated...D-S evidence theory provides a good approach to fuse uncertain inlbrmation. 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.展开更多
Through the analysis of the surrounding rock, coal seam burial depth, coal quality and hydrologic geological condition, the methane-bearing property characteristics of the coal reservoir in the Gemudi syncline were el...Through the analysis of the surrounding rock, coal seam burial depth, coal quality and hydrologic geological condition, the methane-bearing property characteristics of the coal reservoir in the Gemudi syncline were elucidated. Most of the wall rock of the coal reservoir is mudstone and silt, which is a favourable enclosing terrane. Burial depth of the main excavating coat seam is moderate. The groundwater activity is thin, and there are absolute groundwater systems between each coal seam, which make poor intercon- nections to accelerate CBM enrichment. In our research, the area coal reservoir meta- morphosis is high, CBM content is high, hole-cranny system development degree is high, and permeability of the great mass of the main coal seam exceeds 0.1×10^-3 μm2, The result demonstrates that the southeast of the Gemudi syncline has the best conditions for prospecting and exploiting CBM.展开更多
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
文摘D-S evidence theory provides a good approach to fuse uncertain inlbrmation. 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.
基金Supported by the"973"Key Foundation of China(2009CB219605)the National Natural Science Foundation of China(40730422,40802032)the Special of Major National Science and Technology of China(2008ZX05034)
文摘Through the analysis of the surrounding rock, coal seam burial depth, coal quality and hydrologic geological condition, the methane-bearing property characteristics of the coal reservoir in the Gemudi syncline were elucidated. Most of the wall rock of the coal reservoir is mudstone and silt, which is a favourable enclosing terrane. Burial depth of the main excavating coat seam is moderate. The groundwater activity is thin, and there are absolute groundwater systems between each coal seam, which make poor intercon- nections to accelerate CBM enrichment. In our research, the area coal reservoir meta- morphosis is high, CBM content is high, hole-cranny system development degree is high, and permeability of the great mass of the main coal seam exceeds 0.1×10^-3 μm2, The result demonstrates that the southeast of the Gemudi syncline has the best conditions for prospecting and exploiting CBM.
