Seismic data inversion method, device and apparatus

A technology for seismic data and inversion, applied in seismology, measurement devices, seismic signal processing, etc., can solve problems such as difficulty in implementation, and achieve the effect of improving calculation accuracy and solution stability.

Active Publication Date: 2018-09-04
北京奥能恒业能源技术有限公司
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Problems solved by technology

The prior method of selecting regular parameters has the significance of theoretical analysis, but it is often difficult to realize in practice

Method used

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  • Seismic data inversion method, device and apparatus
  • Seismic data inversion method, device and apparatus
  • Seismic data inversion method, device and apparatus

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Experimental program
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Effect test

Embodiment Construction

[0041] The measured seismic records can be regarded as the convolution of the reflection coefficient of the formation and the source wavelet, that is,

[0042]

[0043] In the formula, t i represents the time delay, ω represents the source wavelet, d(t) represents the seismic signal, and N(t) represents the additive noise interference.

[0044] Equation (3) can be written in the form of a matrix-vector equation:

[0045] d=WR+N (4)

[0046] In the formula, d=(d 1 , d 2 ,...,d m ) T , R=(R 1 , R 2 ,...,R n ) T , N=(N 1 , N 2 ,…N m ) T as well as

[0047]

[0048] W is an operator that projects the model space to the observation space. The solution of the linear inverse problem (Equation 4) is a key to elastic impedance inversion.

[0049] The Tikhonov regularization method is based on the Lagrange multiplier method or the idea of ​​constructing functionals in optimization theory, by introducing smooth functionals to construct regular operators, and then so...

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Abstract

The invention relates to a seismic data inversion method, device and apparatus. According to the method of the invention, an l2 norm constraint-based elastic impedance inversion optimization model isbuilt; an optimal regular parameter is determined by means of a threshold filtering factor and an L-curve criterion, and then, the Tikhonov filtering factor is adopted to solve the minimum solution ofthe optimization model, and therefore, calculation accuracy and the stability of the solution can be effectively improved; the algorithm is tested by a low signal noise ratio theoretical model and actual seismic data; the inversion result of the low signal noise ratio theoretical model is basically consistent with a model forward modeling condition; an actual seismic data-based elastic impedanceinversion result is consistent with a rock physics analysis result in a region; and therefore, the prediction result of further obtained brittleness index distribution is also matched with a borehole.The algorithm has the advantages of high stability, noise resistance, and bright prospect of practical application.

Description

technical field [0001] The invention relates to the field of seismic exploration, in particular to a double-filter regularization method applied to seismic wave elastic impedance inversion. Background technique [0002] As a clean and efficient unconventional energy source, shale gas's development and utilization are of great significance to the development of low-carbon economy and optimization of energy structure. As an important evaluation index for selecting high-quality shale, rock brittleness is one of the main contents of shale gas reservoir description, and the brittleness index is the main evaluation index of rock brittleness. Usually, the selection of brittleness index is based on the sensitivity analysis of model forward modeling, using elastic parameters such as longitudinal and shear wave impedance, Lame coefficient, Young's modulus, Poisson's ratio, etc. to obtain the brittleness index results of different methods, and finally select the sensitive Brittleness ...

Claims

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Application Information

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IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 杨晓吕健飞谢雄举任景伦马郡王群武
Owner 北京奥能恒业能源技术有限公司
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