Method for optimizing seismic velocity analysis data in oil and gas exploration

Abstract

The invention provides a method for optimizing seismic velocity analysis data in oil and gas exploration. The method for optimizing the seismic velocity analysis data in the oil and gas exploration includes the following steps: velocity trace gather sorting is carried out on the seismic data, and an ultra trace gather used for velocity analysis is sorted out; sub-band abnormal amplitude attenuation is carried out; F-X-Y domain three-dimensional prestack random noise attenuation is carried out; frequency filtering is carried out, so that energy of a superiority frequency band of reflection waves can be enhanced; and wavelet shaping deconvolution processing is carried out to improve resolution. The method for optimizing the seismic velocity analysis data in the oil and gas exploration solves the problems that in the prior art, focusing of an energy group in velocity analysis is poor and precision is low, and has the advantages that effective reflection energy can be enhanced, the quality of the velocity analysis data is improved, the signal-to-noise ratio and the resolution of the velocity analysis trace gather are improved, and the focusing property of a velocity spectrum can be improved.

Description

technical field [0001] The invention relates to the field of seismic data processing, in particular to a method for optimizing seismic velocity analysis data of oil and gas exploration. Background technique [0002] Seismic imaging has higher and higher requirements for velocity analysis accuracy. At present, the conventional velocity analysis method mainly adopts the post-stack energy maximum discrimination method. Without focusing, the speed accuracy in the middle and deep layers is not enough, which affects the accuracy of geological and geological imaging. Although the velocity analysis method of quaternary term velocity analysis was developed to make the gathers as flat as possible in the early stage, it still cannot solve the problem of velocity energy focusing in the middle and deep layers. There is no corresponding velocity analysis method for the problems of unfocused velocity spectrum energy clusters and low velocity analysis accuracy in the middle and deep layers...

AI Technical Summary

Problems solved by technology

In the overall data processing, considering the vertical and horizontal fidelity of the amplitude, frequency and other factors, when the noise suppression technology is applied, the denoising effect is usually worse, which has a greater impact on the velocity spectrum

For this reason, we have invented a new optimization method for seismic velocity analysis data of oil and gas exploration. Aiming at the problems of low signal-to-noise ratio and weak effective reflection of velocity analysis data, resulting in poor focus of velocity spectrum energy clusters, the data involved in velocity analysis , with the main goal of improving the signal-to-noise ratio of the gather and the quality of the velocity spectrum, a better velocity spectrum can be obtained by using different processing methods and parameters from the overall data

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