Горные науки и технологии (Dec 2018)
About seismic tomography algorithm in the prediction of geological dislocations in coal seams
Abstract
An algorithm for processing of crosshole seismic survey data enabling recognizing the type and evaluate the characteristics of geological anomalies using a system of criteria is described. As part of the algorithm, the procedures for creating a line certificate, calculating amplitude spectra, velocity spectra, velocity response spectra, filtering operation, and travel-time graph plotting are performed. Then calculation of kinematic and dynamic parameters in the selected velocity gates and statistical processing are performed. The fundamental algorithm procedures are tomographic determination of the wavefield parameters in the extraction panel plane, selection and interpretation of anomalous zones using prediction criteria for determining the dislocation type. It is shown that it is advisable to perform the tomographic determination of the wavefield parameters in the extraction panel plane in the velocity gates of the identified wave packets in sequence for the main informative parameters. Analysis of the amplitude modulus maximum velocity distribution provides high accuracy in terms of identifying anomalous zones. This parameter is relative independent of random factors. The analysis of the wave packet characteristic frequency offsetting is the only key source allowing judge both presence and type of dislocation. Analysis of the distribution of wave packet amplitudes is characterized by high accuracy in terms of identifying anomalous zones. However, its use is complicated by the dependence on many random factors. Other parameters have much less information content and can be used as auxiliary ones. The algorithm is implemented in the software enabling automating the most labor-intensive operations. Its use was illustrated by the example of the analysis and interpretation of the seismic study findings in longwall 37K10-V of the Kuzembaev Mine (Kazakhstan).
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