A Waveform Inversion Method for Phase Feature Recognition Based on Progressive Data Assimilation Method

A waveform inversion and feature recognition technology, applied in the field of exploration seismic waveform recognition technology and deep learning, can solve the problems of FWI failure to converge, wrong inversion results, etc., to solve the cycle jump problem, ensure reliability, and improve inversion efficiency. Effect

Active Publication Date: 2021-10-08
NANJING UNIV +1
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Problems solved by technology

[0003] Purpose of the invention: In order to overcome the problem that cycle jumps cause FWI to fail to converge and produce wrong inversion results

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  • A Waveform Inversion Method for Phase Feature Recognition Based on Progressive Data Assimilation Method
  • A Waveform Inversion Method for Phase Feature Recognition Based on Progressive Data Assimilation Method
  • A Waveform Inversion Method for Phase Feature Recognition Based on Progressive Data Assimilation Method

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[0036] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0037] A waveform inversion method for phase feature recognition based on progressive data assimilation method, such as figure 1 As shown, the waveform screening mechanism is added to the traditional full waveform inversion process to avoid the occurrence of cycle jumps, and the seismic data to be inverted is divided according to fixed-length time windows. After all the time windows are obtained, the comparison between the observed data and the theoretical data Wavef...

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Abstract

The invention discloses a seismic phase feature recognition waveform inversion method based on a progressive data assimilation method, which includes dividing seismic wave time windows. Compare the waveform similarity of data in each window, and filter qualified waveforms for waveform inversion. After each iteration, according to the updated forward modeling data of the model, the waveform similarity between the observed data and the theoretical data in each time window is re-compared, and the qualified waveforms are selected for the waveform inversion of the next iteration. The invention divides the exploration seismic data into time windows according to a fixed length, and compares the waveform similarity to screen the seismic data for waveform inversion to solve the problem of cycle jump and improve its convergence efficiency. The invention compares the waveform data in each time window Screening helps solve the cycle jump problem of waveform inversion and improves the convergence of waveform inversion.

Description

technical field [0001] The invention relates to an exploration seismic waveform recognition technology and a deep learning technology, and is especially suitable for solving the problem of automatic data picking in waveform inversion. Background technique [0002] Modeling and inversion of seismic wave velocity has always been a core issue in geophysics. Full-waveform inversion (Fullwaveform Inversion, FWI), as a high-precision velocity modeling and inversion method, has become one of the current research hotspots in geophysics and seismology. It performs inversion by fitting all the waveform information of the observed waveform data and the calculated data. Compared with other inversion methods, it can obtain a higher resolution subsurface medium structure. The full waveform inversion method has been widely used in petroleum and mineral resource exploration, global scale structure imaging and so on. The gradient calculation of the FWI method is realized by propagating the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36G01V1/28G01V1/30
CPCG01V1/282G01V1/303G01V1/362
Inventor 阮友谊江文彬王文闯
Owner NANJING UNIV
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