Convolutional coding-based time domain full waveform inversion method

A full waveform inversion and convolutional coding technology, applied in the field of seismic exploration imaging, can solve problems such as poor calculation stability, achieve strong noise resistance, enhance inversion accuracy, and increase calculation time

Inactive Publication Date: 2021-07-09
JILIN UNIV
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Problems solved by technology

However, these methods either rely on the assistance of other technical means or have poor calculation stability, and have some shortcomings in calculation efficiency or inversion results.

Method used

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  • Convolutional coding-based time domain full waveform inversion method
  • Convolutional coding-based time domain full waveform inversion method
  • Convolutional coding-based time domain full waveform inversion method

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Experimental program
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Effect test

Embodiment 1

[0127] According to the exploration requirements, Parallel Computing Toolbox and MATLAB Distributed Computing Server (R2016b) were installed under the Windows 10 Professional Edition system to build the MATLAB parallel platform.

[0128] Full waveform inversion test with missing low frequency information using Marmousi. real model ( Figure 4 ) and a linearly increasing initial model ( Figure 5 ).

[0129] Table 1. Full waveform inversion test parameters with missing low frequency information

[0130] grid size grid distance Line length vertical depth Bandwidth 69×192 12.5m 2400m 862.5m full band

[0131] The grid size of the model is 69×192, the grid spacing is 12.5, the lateral distance is 2400m, and the vertical depth is 862.5m. The seismic wave velocity ranges from 1500m / s to 4000m / s in the model. The grid point is a geophone, and the interval between the geophones is 12.5m, and a total of 12 seismic sources are excited. The seismic sou...

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Abstract

Characteristics of analog data and observation data are extracted by using a convolution kernel, each sampling point is coded according to the polarity of the characteristics, an attenuation matrix is constructed after coding, the matrix is multiplied by the analog data so as to adaptively identify a part in the analog data, the part of data has cycle jump with the observation data, the part of data is attenuated, and the interference of the part of data on the gradient is reduced. The influence of a cycle jump phenomenon on an inversion result is effectively eliminated, and the inversion result precision of full-waveform inversion when observation data lack low-frequency information and an initial model is inaccurate is improved. The method is combined with a multi-seismic-source hybrid coding strategy, and the calculation efficiency of inversion is further improved. The accurate inversion result can be obtained under the condition that observation data contains strong noise, the period jump phenomenon is effectively reduced under the condition that the calculation efficiency is kept unchanged, and the method has high noise resistance, is suitable for actual seismic exploration and can remarkably improve the seismic exploration inversion effect.

Description

technical field [0001] The invention relates to a seismic exploration imaging method, in particular to a time domain full waveform inversion method. Background technique: [0002] Seismic exploration is the only geophysical method that has both large detection depth and high resolution, and is recognized as the preferred exploration method in the field of deep resource exploration. At present, my country's economic and social development is rapid, and the corresponding demand for petroleum and mineral resources is also increasing year by year. With the location and reserves of shallow resources basically proven, the focus of resource exploration is gradually shifting to deep complex geological structures. In this context, the country has put forward higher requirements for the depth and precision of seismic exploration. The main function of seismic exploration is to realize the verification of underground geological structure and lithology information after a series of data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/30G06N3/04G06N3/08
CPCG01V1/282G01V1/30G01V1/307G06N3/049G06N3/08G01V2210/63G06N3/045
Inventor 董士琦韩立国张盼尹语晨陈瑞鼎封强
Owner JILIN UNIV
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