Dual-path integration based speed model establishment method and system

Abstract

The invention discloses a dual-path integration based speed model establishment method and system. The method comprises the steps of acquiring target data; determining a plurality of to-be-selected speed models required for processing the target data; obtaining a common imaging point gather corresponding to each to-be-selected speed model, and then obtaining a coherence spectrum and a shift result of the gather corresponding to each to-be-selected speed model; performing two-time weighted stacking on each shift result by utilizing the coherence spectrum corresponding to the shift result to obtain each dual-path integration imaging profile; calculating a coherence value of the common imaging point gather corresponding to each to-be-selected speed model and a coherence value of the path integration imaging profile separately; and based on the coherence values, determining a target speed model in the to-be-selected speed models, wherein the target speed model is used for establishing a speed model. According to the speed model establishment method and system, the high-precision multi-signal detection coherence spectrums are used for path weighting in path integration, so that the influences of high and low speed models on a stacking result are balanced, the quality, namely the accuracy, of speed modeling is improved, and the calculation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of mathematical models, in particular to a method and system for establishing a velocity model based on dual-path integrals. Background technique [0002] With the development of technology, velocity models are more and more widely used in various fields. For example, in seismic migration imaging, the velocity model is the core parameter for calculating the travel time of seismic waves, which usually determines the quality of seismic migration imaging. [0003] The conventional method used in actual production needs to calculate the velocity spectrum of the imaging gather first, and then manually pick the extreme point of the spectrum or the velocity point with better imaging on the velocity spectrum, and establish the velocity model through continuous iteration, so there is a low efficiency. The problem. [0004] However, in the current dual-path integral velocity modeling scheme, the weighting parameters...

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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a method and system for establishing a velocity mode

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