Method, device and equipment for determining polarity zero phasing of offshore seismic data and medium

Abstract

The invention discloses an offshore seismic data determination polarity zero phasing method, device and equipment and a medium. The method comprises the following steps: removing ghost waves and multiples from normal polarity seismic data to obtain seismic data of minimum phase wavelets; performing deconvolution processing on the seismic data of the minimum phase wavelet to obtain deconvolution seismic data; and performing phase difference compensation processing on the deconvolution seismic data to obtain zero-phase seismic data. According to the method, the determined polarity zero phasing of the offshore seismic data is realized, the zero phasing processing effect of the seismic wavelets is obvious, the resolution ratio is high, the wave group characteristics are good, and the method has a good application prospect.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This technology helps reduce costs while still capturing accurate geophysical measurements without requiring long baseline waves. It also corrects errors introduced during signal transmission due to stratification layers along fault lines, resulting in more precise analysis compared to previous methods such as reflection tomography (RT). Additionally, this technique improves accuracy when used over large areas where there may be many reflectors between them. Overall, it provides an effective way to study underground oil deposits efficiently and effectively through various techniques like surface migration imagery (SMO) scans.

Problems solved by technology

This patented technical solution describes how to determine if two waves are different from each other due to their own directionality (their arrival time). By performing null-phase analysis at specific points along one line called the boundary layer, we found out whether these waves were caused by physical processes like fault movement or geology activity. To solve this issue, researchers have developed various numerical algorithms such as finite element simulations, spectral decomposition, etc., to accurately analyze both seismics data and calculate the best way to process them.

Images