Three-dimensional velocity geologic modeling method with randomly arranged structure and wave velocity

Abstract

The invention provides a three-dimensional velocity geologic modeling method with a randomly arranged structure and wave velocity, which comprises the following steps: determining a base point in a three-dimensional space, establishing an equation according to the base point to determine a planar layered model, complicating an inclined layer of the planar layered model, and constructing a wrinklelayer model of a curved surface in the three-dimensional space; establishing a three-dimensional fault wrinkle model based on the three-dimensional curved surface wrinkle layer model in combination with the fault surface of the random reference point and the displacement of each point in the global coordinate system; based on the three-dimensional fault wrinkle model, constructing a speed model containing the salt dune, and simulating upward invasion of the salt dune in a geologic body with a certain depth; and carrying out random wave velocity amplitude according to the set stratified category, the set velocity range and the wave velocity difference range between the geology of layers, and achieving three-dimensional velocity modeling. According to the invention, the model data volume ofthe deep learning method used for geophysical inversion is improved, and the inversion effect of the deep learning method is improved.

Description

technical field [0001] The disclosure belongs to the technical field of geophysical exploration, and relates to a three-dimensional velocity geological modeling method in which structures and wave velocities are arranged randomly. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Seismic method, as one of the most commonly used geophysical exploration methods, is widely used in petroleum exploration, coal field, and metal deposit detection, etc., and has broad application prospects. The main principle of the seismic method is based on wave field propagation. Multiple geophones are arranged on the surface, and the wave field is generated by stimulating the artificial seismic source multiple times and propagates in the underground medium. When the wave impedance of the underground medium changes, reflection or refraction returns to the ground...

AI Technical Summary

Problems solved by technology

[0011] The geological model is formed through geological movement, which has great randomness, regionality, and geological history information at the same time. Therefore, if you want to generate a velocity model that can simulate real geological information through functions, you need to conform to the general laws of the stratum and at the same time There is enough randomness to avoid model repetition, which is difficult

[0012] 2) It is difficult to achieve rapid modeling under the premise of ensuring the complexity of the model;

[0013] When building a model, it is necessary to randomly select parameters and generate a speed model within a reasonable range. It is necessary to ensure the complexity of the model, which puts forward higher requirements for parameter selection, and further realizes the difficulty of fast random speed modeling.

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