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A Fourier Domain Seismic Data Reconstruction Method Based on Least Squares Parameter Inversion

A seismic data and parameter inversion technology, applied in electrical digital data processing, seismic signal processing, special data processing applications, etc., can solve problems such as regularization of uneven seismic data, and achieve the effect of avoiding spectral leakage and high computational efficiency

Active Publication Date: 2017-08-18
CHINA PETROLEUM & CHEM CORP +1
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  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problems existing in the above-mentioned prior art, and to provide a Fourier domain seismic data reconstruction method based on least squares parameter inversion, so that spatially non-uniform seismic data can be regularized, so that Seismic data can better meet the needs of subsequent seismic data processing and interpretation

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  • A Fourier Domain Seismic Data Reconstruction Method Based on Least Squares Parameter Inversion
  • A Fourier Domain Seismic Data Reconstruction Method Based on Least Squares Parameter Inversion
  • A Fourier Domain Seismic Data Reconstruction Method Based on Least Squares Parameter Inversion

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Embodiment Construction

[0016] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0017] For uniformly sampled data D(p·Δx,q·Δy,ω) without aliasing, perform a spatial 2D discrete Fourier transform on it:

[0018]

[0019] so that you can get then use Perform inverse discrete Fourier transform for interpolation to obtain the value D(x,y,ω) at any point (x,y) in space:

[0020]

[0021] The present invention draws lessons from above-mentioned idea, for non-uniformly sampled seismic data D(x n ,y n ,ω) is processed as follows to get

[0022]

[0023] in getting Later, use (2) interpolation to obtain data on any point (x, y) or regular grid point (pΔx, qΔy).

[0024] Among them, p, q are spatial sample numbers, Δx, Δy are spatial sampling intervals, ω is time frequency, Δk x , Δk y is the spatial wavenumber interval, m kx , m ky is the sequence number of the spatial wavenumber sample.

[0025] However, in practice, for irregula...

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Abstract

The present invention provides a Fourier domain seismic data reconstruction method on the basis of a least-square parametric inversion, belonging to the field of oil gas and coalbed methane seismic exploration and development. The Fourier domain seismic data reconstruction method is configured to perform interpolation of non-uniform sampling seismic data without alias frequency based on the least-square parametric inversion, and the seismic data is reconstructed. The Fourier domain seismic data reconstruction method is suitable for irregular seismic data, is able to avoid spectrum leakage, and has high computational efficiency.

Description

technical field [0001] The invention belongs to the field of seismic exploration and development of oil and gas and coalbed methane, and in particular relates to a Fourier domain seismic data reconstruction method based on least square parameter inversion. Background technique [0002] Seismic exploration is a geophysical exploration method that uses the difference in elasticity and density of underground media to infer the nature and shape of underground rock formations by observing and analyzing the response of the earth to artificially excited seismic waves. In this process, the seismic wave field is a multidimensional signal that is continuous in time and space. What is actually recorded is the discrete sampling results of these continuous signals. According to the signal sampling theory, when the sampling frequency is greater than the Nyquist frequency, the original continuous signal can be reconstructed from the discrete records after sampling. However, in the proces...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36G01V1/30G06F19/00
Inventor 刘百红孙成龙宋志翔
Owner CHINA PETROLEUM & CHEM CORP