A data processing method for improving the vertical resolution of pit penetration based on SIRT algorithm
As one of the most commonly used and effective detection methods for hidden structures in coal mine working face,radio wave perspective plays an important role in ensuring the safety of coal mining.At present,the radio wave perspective method has the problem of high transverse resolution and insufficient longitudinal resolution,and it can not effectively judge the specific position of the abnormal structure in the longitudinal distribution.Compared with algebraic reconstruction technique algorithm(ART),the simultaneous iterative reconstruction technique algorithm(SIRT),in the inversion process,corrects the slowness value of each grid during the inversion process based on the average of the correction values of all rays passing through the grid.It takes into account the propagation and changes of e-lectromagnetic waves inside the working face at different time periods when each electromagnetic wave penetrates the working face,thereby improving the longitudinal resolution of the pit penetration method.Taking the pit permeability data of a working face in Sihe Mine as an example,after screening and correcting the original pit permeability data collected,the SIRT algorithm was used to achieve accurate imaging of the working face structure.It was proved that the electromagnetic wave energy convergence of the data processing method based on SIRT algorithm was better,and the longitudinal resolution of pit penetration detection was greatly improved.
radio wave perspectivedata correctionSIRT algorithmlongitudinal resolution
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NSTL
万方数据
