Methodological study demonstrates enhanced resolution in engineering seismic datasets via deghosting and designature, indicating improved subsurface imaging accuracy.
In contrast to the seismic explorations for oil and gas development, elementary seismic data processing techniques have been applied to seismic surveys in engineering. Additional seismic data processing is required for high-resolution seismic data to enhance its resolution. Therefore, deghosting and designature methods on high-resolution seismic data were investigated to eliminate the ghost and the effects of the source signature. For successful deghosting, the objective function based on the L1-norm was used to estimate the ghost delay time. In the case of designature, the source signature with the homogeneous three-dimensional (3D) Green's function was efficiently estimated, and the effects of the source signature were eliminated by using a newly defined source wavelet. The deghosting and designature were implemented on synthetic seismic and field datasets. Through the deghosting, the ghost delay time can be estimated by the L1-norm based objective function, and the ghost signal can be eliminated. In addition, the bandwidth of the amplitude spectrum was broadened by resorting the distorted frequency components. The results of the designature showed that the zero-phased traces were generated by eliminating the effects of the original source signature and convolving the newly defined zero-phased source wavelet.
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Kim et al. (2021) studied this question.
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