A Method of Seismic Wave Impedance Inversion Based on Adversarial Learning

A seismic wave and inversion technology, applied in the field of seismic impedance inversion, can solve problems such as lack of logging data

Active Publication Date: 2021-09-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] In order to solve the problem of lack of logging data in the traditional high-resolution seismic wave impedance inversion method, the present invention implements a high-resolution seismic wave impedance inversion method based on Generate Adversarial Network (GAN)

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  • A Method of Seismic Wave Impedance Inversion Based on Adversarial Learning
  • A Method of Seismic Wave Impedance Inversion Based on Adversarial Learning
  • A Method of Seismic Wave Impedance Inversion Based on Adversarial Learning

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Embodiment Construction

[0041] In order to facilitate those skilled in the art to understand the technical content of the present invention, the prior art related to the content of the present invention is firstly introduced:

[0042] Related prior art is as follows:

[0043] 1. Seismic wave impedance inversion method

[0044] Seismic wave impedance inversion is a special seismic processing and interpretation technology that uses seismic data to invert formation wave impedance. It is a seismic inversion technology that effectively combines post-stack seismic data, logging data and geological interpretation. This method not only enables geological researchers to have a better understanding of geological characteristics, but also has important guiding significance for oil and gas exploration. Its core idea is to use the characteristics of high-resolution vertical and horizontal high-resolution seismic data, combined with geological interpretation data, to iteratively update the given initial wave impe...

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Abstract

The invention discloses a seismic wave impedance inversion method based on confrontational learning, which is applied in the field of seismic data processing. Aiming at the problem of lack of logging data in the traditional high-resolution seismic wave impedance inversion method, the present invention pre-trains the neural network Obtain the distribution information of well data, combine the training generative confrontation network and the wave impedance inversion process, realize the high-resolution wave impedance inversion results without the participation of well logging data in the inversion process, and solve the problem of traditional high-resolution seismic wave impedance Inversion relies heavily on well log data.

Description

technical field [0001] The invention belongs to the field of seismic data processing, in particular to a seismic impedance inversion technology. Background technique [0002] Seismic wave impedance inversion obtains subsurface wave impedance information by artificially stimulating reflected seismic waves, which is an important technical means for oil and gas reservoir prediction. Due to the limitation of seismic wave frequency bandwidth, it is difficult to obtain high-resolution seismic wave impedance information through conventional seismic inversion methods. Therefore, high-resolution seismic inversion is still a difficult problem in seismic wave impedance inversion. Currently, the most commonly used high-resolution seismic wave impedance inversion technique is mainly the geostatistical inversion method. This technology utilizes the vertical high-resolution of well logging data and the lateral distribution characteristics of seismic data to realize high-resolution well in...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30G06N3/04G06N3/08
CPCG01V1/306G06N3/08G01V2210/6226G06N3/045
Inventor 王峣钧王良基胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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