Hybrid-domain full wave form inversion method of central processing unit (CPU)/graphics processing unit (GPU) synergetic parallel computing

Abstract

The invention discloses a hybrid-domain full wave form inversion method of central processing unit (CPU) / graphics processing unit (GPU) synergetic parallel computing. Compared with a traditional method, the method can be adopted to conduct the CPU / GPU synergetic parallel computing so as to obviously improve computing efficiency. The method enables a forward part of full wave form inversion to be placed to a time domain, namely forward is conducted in the time domain, the forward is converted to be conducted as the inversion in a frequency domain by the discrete fourier transform (DFT) being utilized, namely the DFT is adopted to pick wave field components corresponding to inversion frequency, and the inversion is conducted in the frequency domain from low frequency to high frequency. The method effectively resolves the problem of astringency of a standard time domain method, and avoids the problem that internal memory of wave form inversion of a standard three-dimensional frequency domain and a Laplace domain cannot be satisfied. The method is few in step, reduces computing expenses, and due to the fact the method can be adopted to conduct the CPU / GPU synergetic parallel computing, largely improves speed-up ratio of the computing method.

Description

technical field [0001] The invention relates to a full waveform inversion method, in particular to a full waveform inversion method performed on a mixed domain through CPU / GPU cooperative parallel computing, and belongs to the field of computers. Background technique [0002] At present, the development of mature oil regions in western my country and overseas is becoming more and more difficult, and the depth is deepening. There is a great demand for high-precision geophysical imaging and inversion methods; and high-precision imaging methods ultimately rely on high-precision velocity models. Construct. The inversion methods of the velocity model are divided into three types: traveltime inversion method, amplitude inversion method and full waveform inversion method according to the different use of inversion information. Because the full waveform inversion method comprehensively utilizes the dynamics and kinematics information of the pre-stack seismic wave field, it can recon...

AI Technical Summary

Problems solved by technology

This method combines the advantages of time-domain waveform inversion and frequency-domain waveform inversion. At the same time, it overcomes the time-domain waveform inversion method with the help of GPU and CPU collaborative operations. Value defects, and avoid the frequency domain and Laplacian domain waveform inversion huge memory usage, three-dimensional processing is difficult to implement

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