Seismic forward modeling method based on least square conjugate gradient iteration of frequency domain

A technique of least squares and conjugate gradient, applied in the field of seismic exploration, to achieve the effects of stable calculation, loose iteration conditions, and reliable simulation of seismic response characteristics
CN113671574APending Publication Date: 2021-11-19SOUTHWEST PETROLEUM UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHWEST PETROLEUM UNIV
Publication Date
2021-11-19

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Abstract

The invention discloses a seismic forward modeling method based on least square conjugate gradient iteration of a frequency domain. The method comprises the following steps: inputting a time-harmonic wave equation after Fourier transform to the frequency domain; setting corresponding forward modeling simulation parameters; and performing iterative solution on the time-harmonic wave equation through a least square conjugate gradient algorithm according to the forward modeling simulation parameters. Compared with a forward modeling method based on LU direct solution, the method provided by the invention can reduce memory consumption and improve calculation efficiency under the condition of keeping the same precision, and compared with a forward modeling method based on BI-CGSTAB iterative solution, the method provided by the invention can obtain more loose use conditions and better calculation stability under the condition of approximate calculation efficiency.
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Description

technical field

[0001] The invention relates to the technical field of seismic exploration. Background technique

[0002] As a basic geophysical exploration method, seismic exploration is the most effective method to solve oil and gas exploration problems. Forward modeling based on the wave equation is the basic work of seismic exploration, and plays an important role in the acquisition, processing, and interpretation stages of seismic exploration.

[0003] Seismic forward modeling methods in the prior art can be divided into time domain and frequency domain according to the calculation domain. The time domain algorithm has been widely used because of its simple implementation and high precision. However, under the requirements of full waveform inversion, it needs Based on the forward modeling, iteratively solve the wave equation repeatedly. If the forward modeling is performed in the time domain, it will bring a huge amount of calculation and consume a lot of memory and ti...

Claims

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