Method and system for acquiring shared offset distance and shared azimuth angle domain track sets

Abstract

The invention relates to a method and system for acquiring a shared offset distance and shared azimuth angle domain track set. The method and system for acquiring shared offset distance and shared azimuth angle domain track sets includes the steps: enabling seismic data to be sorted into n*m cross array seismic data track sets, wherein n is the number of gun lines in a cross array observing system, and m is the number of wave detecting lines in the cross array observing system; diving and acquiring shared offset distance and shared azimuth angle units from the cross array seismic data track sets according to the distances such as gun line distances and wave detecting line distances, and carrying out numbering on the shared offset distance and shared azimuth angle units; and enabling the shared offset distance and shared azimuth angle units which are with the same numbers and located at the same quadrant in each cross array seismic data track set are extracted and combined together, and then the shared offset distance and shared azimuth angle domain track set is acquired.

Description

technical field [0001] The invention relates to the field of seismic data processing, in particular to a method and system for obtaining common offset and common azimuth domain gathers in a cross-arrangement observation system. Background technique [0002] In order to improve the accuracy of fracture-cave body imaging and fracture prediction in carbonate rocks, the commonly used technical means is to collect all-round high-density 3D seismic data, although very good results can be achieved by processing 3D seismic data and fracture prediction. However, there are still some deficiencies in terms of the overall technical solution adopted. First, the overall approach is to use narrow-oriented processing technology to deal with all-round data, and the technical characteristics of all-round data processing have not been fully researched and excavated, nor has an all-round data processing technical process been formed; second, on the whole Look, the current technical solution is...

AI Technical Summary

Problems solved by technology

However, due to the limited number of coverages in the sector, this method often results in poor imaging. For example, if the sector is enlarged, the analysis of anisotropic parameters will be inaccurate. For example, the accuracy will be affected by expanding the bins to form a super gather.

Moreover, there is still no solution for how to reconstruct the data volume obtained by processing different azimuth angles into the final data volume

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