Fracture Prediction of Coal Reservoir Based on Post-stack Seismic Data
Coalbed methane(CBM)is mainly in the absorbed state,stored on the surface of coal rock voids,or in the free state,distributed in the pore-level fractures of coal rock,so the fractures are of great significance to the accumulation of CBM.Layer attribute analysis and vol-ume attribute analysis were used to identify the development characteristics of coal reservoir frac-ture based on the 3D seismic post-stack data.Firstly,we conducted a detailed interpretation of the coal seam and obtained the t0 data through interpolation for later use.With the layer attribute analysis,we directly extracted curvatures along the layer.With the volume attribute analysis,we converted seismic data into coherent bodies,ant bodies,and curvature bodies,and then extracted attributes along the layer.Finally,according to the results of attribute analyses,the fracture de-velopment zone was delineated and divided into four fracture development levels,with obvious characteristics reflected in the known fault development zone.The results show that the post-stack seismic attribute analysis method was effective in fracture prediction,which could provide a reference for CBM development and production.