Block-Tie Interpretation Of Seismic Data For Coal Mining Area

Since the workload of seismic acquisition is heavy, seismic exploration in somelarge minefield is carried blocks by blocks in order to keep up with the miningactivities. However, in order to facilitate the rational arrangement of mining panel, themain roadway development and geological evaluation of coal mine panel, interpretersoften be required to provide block-tie interpretation to coal mine.In this paper, based on3D seismic interpretations of different mining areas, Isystematically studied block-tie interpretation technology of coal mine and proposed apractical processing procedure for data splicing such as well data, interpretedstructures, interpreted horizons and seismic cube. I also developed a software aboutseismic data splicing. This software contains pre-processing module, consistencyprocessing module and seismic cube splicing module.In the thesis, I firstly discussed the consistency among different seismic cubes toa certain mining area. I mainly summarized the effect factors of seismic inconsistencyon the view of data acquisition, processing and so on, and I analyzed the influences oftime, amplitude, phase and frequency on seismic traces by numerical simulation withRicker wavelet.Secondly, I researched the consistency processing technology of post-stackseismic data such as time correction, amplitude equalization, phase correction andmatched filtering, and verified the validity of my method theoretically. Meanwhile,the effect of operator length upon matched filtering was studied by using syntheticseismograms. It was found that with the length of the operator gradually increased,matched filtering error decreased. Matched filtering worked best, when the operatorlength closed to the signal length.Finally, I used the software which developed in this thesis period to carry outpractical block-tie interpretation of two coal mines. To a certain extent, the differencesof time, energy, frequency and phase between different seismic data were eliminatedby applying consistency processing to seismic data cross equalization, and thepurpose of improving the consistency of seismic data was realized. According to theblock-tie interpretation of seismic data in Guqiao coalmine of Huainan Mining Groupand Wanglou coalmine of Linyi Mining Group, the structure and lithology of coalseam were researched by splicing the seismic data and using seismic attribute, seismicinversion, seismic facies analysis and some other methods. After splicing interpretation, geological anomalies such as coal seam washout were delineated andverified.