The method of obtaining the remaining static correction amount

Abstract

Provided is a method for acquiring a residual static correction value. The method comprises the steps that common midpoint way set data after dynamic correction are read in, and statistics is carried out on the number of shot points in the data and the number of demodulator probes in the data; according to the number of the shot points, the number of the demodulator probes and a preset residual static correction value search range, an initial solution set is generated; a Poisson disk sampling algorithm is utilized for obtaining a sampling solution set according to the initial solution set, and the sampling solution set is mapped to a genetic space through real number coding to form an initial population; the genetic manipulation is carried out on the initial population, and an individual meeting the preset conditions is acquired as the residual static correction value. According to the method, the evolution speed and effect of the solving process of the residual static correction value can be improved.

Description

technical field [0001] The invention belongs to the field of seismic exploration, and more specifically relates to a method for obtaining residual static correction. Background technique [0002] With the deepening of oil and gas exploration and development and the expansion of exploration scope, complex surface areas have become important targets of seismic exploration. Most of these areas have complex geological structures, low signal-to-noise ratio of seismic records, and large vertical and horizontal variations in seismic wave velocity. After the seismic data are processed by various static correction methods and dynamic correction methods, there is still a large amount of residual static correction. When the signal-to-noise ratio of seismic data is low, or the residual static correction is greater than 1 / 2 period of the seismic waveform, the traditional linear method to solve the residual static correction tends to fall into a local extremum. The nonlinear global opti...

AI Technical Summary

Problems solved by technology

Although the residual static correction technology based on the conventional genetic algorithm has achieved certain effects in some areas with small data volume and high signal-to-noise ratio, there are still problems of poor evolutionary effect and evolutionary efficiency.

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