Forward modeling method and device based on spring network model

Abstract

The invention discloses a forwarding modeling method and device based on a spring network model, and the method specifically comprises the steps: setting a time sampling interval and a spatial sampling interval of forwarding modeling; carrying out the discretization of a to-be-simulated geologic model according to the spatial sampling interval, and obtaining a digitalized geologic model, wherein the digitalized geologic model is of a rectangular grid form or a cuboid grid form; determining the elastic parameters of all directions of the digitalized geologic model according to the spatial sampling interval; and updating the wave field value of the digitalized geologic model at each moment according to a seismic focus subwave function, the time sampling interval and the elastic parameters of all directions of the digitalized geologic model. The method overcomes the restrains of a conventional grid shape, can be suitable for square or cube grids, also can be suitable for rectangular or cuboid grids, can meet the requirements of actual production for a simulated grid, and also can preferably select the time and spatial sampling intervals according to the actual conditions, so as to improve the calculation efficiency.

Description

Forward modeling method and device based on spring network model technical field The invention relates to the technical field of petroleum seismic exploration, in particular to a forward modeling method and device based on a spring network model. Background technique Seismic forward modeling is the basis of seismic data acquisition, processing and geological interpretation, and is an important means to reduce seismic ambiguity. At present, the mainstream methods of seismic wave numerical simulation are realized by approximately solving the wave equation, such as the commonly used finite difference method and finite element method. The partial differential equations of seismic wave propagation are solvable. However, as the heterogeneity of geological bodies increases, this problem becomes more prominent when there are strong discontinuities or multiphase fluids in the medium. Therefore, how to describe the actual complex subsurface porous media with a simple idealized mod...

AI Technical Summary

Problems solved by technology

To sum up, the current forward modeling methods based on the spring network model or similar methods mainly focus on square grids or regular triangular grids. In actual production, in order to adapt to a specific observation system, it is often necessary to Divide into rectangles or cuboids to save workload to meet the calculation accuracy in a specific direction, but there is still a lack of research on the problem of adapting to rectangular grids or cuboid grids in the prior art

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