%0 Journal Article %1 hayashi_suzuki:2004 %A Hayashi, K. %A Suzuki, H. %D 2004 %I Blackwell Scientific Publications %J Exploration Geophysics %K geophysics seismics %N 1 %P 7--13 %R 10.1071/EG04007 %T CMP cross-correlation analysis of multi-channel surface-wave data %U http://dx.doi.org/10.1071/EG04007 %V 35 %X In this paper, we demonstrate that Common Mid-Point (CMP) cross-correlation gathers of multi-channel and multi-shot surface waves give accurate phase-velocity curves, and enable us to reconstruct two-dimensional (2D) velocity structures with high resolution. Data acquisition for CMP cross-correlation analysis is similar to acquisition for a 2D seismic reflection survey. Data processing seems similar to Common Depth-Point (CDP) analysis of 2D seismic reflection survey data, but differs in that the crosscorrelation of the original waveform is calculated before making CMP gathers. Data processing in CMP cross-correlation analysis consists of the following four steps: First, cross-correlations are calculated for every pair of traces in each shot gather. Second, correlation traces having a common mid-point are gathered, and those traces that have equal spacing are stacked in the time domain. The resultant cross-correlation gathers resemble shot gathers and are referred to as CMP cross-correlation gathers. Third, a multi-channel analysis is applied to the CMP crosscorrelation gathers for calculating phase velocities of surface waves. Finally, a 2D S-wave velocity profile is reconstructed through non-linear least squares inversion. Analyses of waveform data from numerical modelling and field observations indicate that the new method could greatly improve the accuracy and resolution of subsurface S-velocity structure, compared with conventional surface-wave methods.

@article{hayashi_suzuki:2004, abstract = {In this paper, we demonstrate that Common Mid-Point (CMP) cross-correlation gathers of multi-channel and multi-shot surface waves give accurate phase-velocity curves, and enable us to reconstruct two-dimensional (2D) velocity structures with high resolution. Data acquisition for CMP cross-correlation analysis is similar to acquisition for a 2D seismic reflection survey. Data processing seems similar to Common Depth-Point (CDP) analysis of 2D seismic reflection survey data, but differs in that the crosscorrelation of the original waveform is calculated before making CMP gathers. Data processing in CMP cross-correlation analysis consists of the following four steps: First, cross-correlations are calculated for every pair of traces in each shot gather. Second, correlation traces having a common mid-point are gathered, and those traces that have equal spacing are stacked in the time domain. The resultant cross-correlation gathers resemble shot gathers and are referred to as CMP cross-correlation gathers. Third, a multi-channel analysis is applied to the CMP crosscorrelation gathers for calculating phase velocities of surface waves. Finally, a 2D S-wave velocity profile is reconstructed through non-linear least squares inversion. Analyses of waveform data from numerical modelling and field observations indicate that the new method could greatly improve the accuracy and resolution of subsurface S-velocity structure, compared with conventional surface-wave methods.}, added-at = {2012-09-01T13:08:21.000+0200}, author = {Hayashi, K. and Suzuki, H.}, biburl = {https://www.bibsonomy.org/bibtex/2d0e62b0ebd76e431554d526c5547d9ca/nilsma}, doi = {10.1071/EG04007}, interhash = {56fb46a76632a53a193bd13a238e4f2a}, intrahash = {d0e62b0ebd76e431554d526c5547d9ca}, journal = {Exploration Geophysics}, keywords = {geophysics seismics}, number = 1, pages = {7--13}, publisher = {Blackwell Scientific Publications}, timestamp = {2021-02-09T13:18:33.000+0100}, title = {CMP cross-correlation analysis of multi-channel surface-wave data}, url = {http://dx.doi.org/10.1071/EG04007}, volume = 35, year = 2004 }