Spiking deconvolution is a standard Wiener Levinson algorithm. The autocorrelation of the design time gate is computed and there is a specified taper on the design gate before the autoeorrelation is done. The standard...Spiking deconvolution is a standard Wiener Levinson algorithm. The autocorrelation of the design time gate is computed and there is a specified taper on the design gate before the autoeorrelation is done. The standard equations are set up, prewhitening is added to the zero lag value of the autocorrelation and the matrix is inverted to derive the spiking operator. In this study, the authors describe a technique for performing spiking deconvolution on prestack time migration （PSTM） data, to test the effect of operator length and percent prewhitening in spiking deconvolution and apply spiking deconvolution trace by trace, with operator lengths 15ms, 10 ms and 5 ms when percent prewhitening 0% , 40ms and 60ms for percent prewhitening 1%. The results show when prewhitening is 0% the shorter operator gives better results, but when value of prewhitening is bigger than 0% it is better to use longer operator lengths.展开更多
This study addresses the significant issue of wavefield mixing in seismic data acquired from tunnel drilling jumbo during urban tunnel construction.This paper compares and analyzes the effect of time-domain cross-corr...This study addresses the significant issue of wavefield mixing in seismic data acquired from tunnel drilling jumbo during urban tunnel construction.This paper compares and analyzes the effect of time-domain cross-correlation in the wavelet transform domain through simulation,and concludes that the combination of the time–frequency cross-correlation in the wavelet transform domain,which excels in noise suppression and in the ability of extracting related information,and the algorithm of spike deconvolution.An optimized recovery method for the wavefield characteristics of drilling jumbo drilling source is implemented.This paper focuses on the single-arm drilling source signal of drilling jumbo as the research object,and the equivalent pulse signal of the drilling source is obtained through the spike deconvolution.The equivalent pulse signal is then optimized using time–frequency cross-correlation in the wavelet transform domain,which improves the ability of extracting the valid reflective information and enhances the effect of the recovery of seismic data of drilling source of the drilling jumbo.The recovery effectiveness of the method of spike deconvolution-wavelet domain cross-correlation on the seismic recordings of the drilling source is analyzed,and the method is applied to practical engineering scenarios,thereby validating the effectiveness and feasibility of the method.展开更多
文摘Spiking deconvolution is a standard Wiener Levinson algorithm. The autocorrelation of the design time gate is computed and there is a specified taper on the design gate before the autoeorrelation is done. The standard equations are set up, prewhitening is added to the zero lag value of the autocorrelation and the matrix is inverted to derive the spiking operator. In this study, the authors describe a technique for performing spiking deconvolution on prestack time migration （PSTM） data, to test the effect of operator length and percent prewhitening in spiking deconvolution and apply spiking deconvolution trace by trace, with operator lengths 15ms, 10 ms and 5 ms when percent prewhitening 0% , 40ms and 60ms for percent prewhitening 1%. The results show when prewhitening is 0% the shorter operator gives better results, but when value of prewhitening is bigger than 0% it is better to use longer operator lengths.
基金National Natural Science Foundation of China,Grant No.52278404,Shaoshuai ShiTaishan Scholar Foundation of Shandong Province,Grant No.tsqn202103002,Shaoshuai Shi+1 种基金Future Scholars project of Shandong UniversityShandong Provincial Natural Science Foundation,Grant No.ZR2024QE460.
文摘This study addresses the significant issue of wavefield mixing in seismic data acquired from tunnel drilling jumbo during urban tunnel construction.This paper compares and analyzes the effect of time-domain cross-correlation in the wavelet transform domain through simulation,and concludes that the combination of the time–frequency cross-correlation in the wavelet transform domain,which excels in noise suppression and in the ability of extracting related information,and the algorithm of spike deconvolution.An optimized recovery method for the wavefield characteristics of drilling jumbo drilling source is implemented.This paper focuses on the single-arm drilling source signal of drilling jumbo as the research object,and the equivalent pulse signal of the drilling source is obtained through the spike deconvolution.The equivalent pulse signal is then optimized using time–frequency cross-correlation in the wavelet transform domain,which improves the ability of extracting the valid reflective information and enhances the effect of the recovery of seismic data of drilling source of the drilling jumbo.The recovery effectiveness of the method of spike deconvolution-wavelet domain cross-correlation on the seismic recordings of the drilling source is analyzed,and the method is applied to practical engineering scenarios,thereby validating the effectiveness and feasibility of the method.
