Anti-dispersion seismic wave forward modeling method, system and device and medium

Abstract

The invention provides an anti-dispersion seismic wave forward modeling method, system and device and a medium. The method comprises the following steps of obtaining an underground medium velocity field and a forward modeling wavelet dominant frequency, and setting a first projection relation according to the underground medium velocity field and the forward modeling wavelet dominant frequency, re-sampling in the depth direction according to the first projection relation to generate a second velocity field, and according to the second velocity field, performing seismic wave field forward modeling through a wave field propagation equation. The method realizes longitudinal frequency dispersion suppression, can balance efficiency and data quality to carry out seismic wave forward modeling, realizes relatively good balance of calculation cost, geologic structure characteristics and data quality, and can be widely applied to the technical field of seismic exploration.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, in particular to an anti-dispersion seismic wave forward modeling method, system, device and storage medium. Background technique [0002] Seismic wave forward modeling is the most basic application tool in the field of seismic exploration. It is an indispensable basic tool in the analysis of observation systems, the development of seismic imaging algorithms, and the inversion of seismic waveforms. At present, the most mainstream seismic wave forward modeling method is the high-order finite difference method, which uses high-order finite difference to solve the wave equation to obtain the seismic wave field propagating in the underground medium. The solution of the wave equation by the high-order finite difference method needs to balance the following problems: numerical dispersion and computational complexity. If the subsurface medium is divided into larger grids, there will be stro...

AI Technical Summary

Problems solved by technology

If the subsurface medium is divided into large grids, there will be strong numerical dispersion, which will affect the quality of seismic wave forward modeling data

Reducing the grid spacing can reduce the numerical dispersion, but at the same time, the problem is that the calculation amount increases rapidly, especially when the velocity of the underground medium is low, a small grid is required to obtain seismic data with weak dispersion

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