Joint inversion method based on rapid calculation of data space

A technology of joint inversion and data space, which is applied in the processing field of multi-object joint inversion, and can solve problems such as slow calculation speed and large memory usage

Inactive Publication Date: 2018-06-29
JILIN UNIV
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  • Abstract
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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a joint inversion method based on fast calculation of data space to solve the problems of slow calculation speed and large memory occupation of existing joint inversion methods

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  • Joint inversion method based on rapid calculation of data space
  • Joint inversion method based on rapid calculation of data space
  • Joint inversion method based on rapid calculation of data space

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Embodiment Construction

[0064] The present invention will be further explained below in conjunction with specific embodiments, but the present invention is not limited thereto.

[0065] Such as figure 1 As shown, the present invention provides a joint inversion method based on fast calculation of data space, comprising the following steps:

[0066] S1: Establish the objective function of gravity, magnetic, electric and seismic joint inversion, the joint inversion objective function is as formula (1):

[0067]

[0068] Constraints: τ(m)=0

[0069] in:

[0070]

[0071] C d =diag[C d1 ,C d2 ,C d3 ,C d4 ], C m =diag[C m1 ,C m2 ,C m3 ,C m4 ],

[0072] α=[α 1 ,α 2 ,α 3 ,α 4 ],

[0073] τ ij =▽m i ×▽m j , i,j=1,2,3,4 (2)

[0074] Among them, m is the model parameter, m 1 ,m 2 ,m 3 ,m 4 are the model parameters of resistivity, velocity, density and magnetic susceptibility, respectively; m 0 is the prior model parameter, m 01 ,m 02 ,m 03 ,m 04 are the first empirical mo...

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Abstract

The invention discloses a joint inversion method based on rapid calculation of a data space. The method includes steps of S1, building a target function of a reversal development of gravitation, magnetic, electrical and seismic; S2, building an initial model of electrical resistivity, speed, density and magnetic susceptibility; S3, carrying out forward modeling calculation and solving a Jacobian matrix; S4, calculating a crossing gradient partial derivative and Lagrangian; S5, calculating to obtain a model space iteration model; S6, calculating to obtain the data space iteration model; S7, performing forward modeling calculation on the acquired data space iteration model, and performing fitting difference solution on the observed data; if the fitting difference is increased and reaches themaximum iteration frequency or the fitting difference reaches the threshold value, stopping circular forward inversion, outputting the joint inversion model of the data space; otherwise, returning toS3. The joint inversion method based on rapid calculation of the data space is quick in calculation speed and small in occupied memory.

Description

technical field [0001] The invention relates to the processing technical field of joint inversion of multi-object properties, and in particular provides a joint inversion method based on fast calculation in data space. Background technique [0002] Integrated geophysical methods have been widely used in deep geological exploration and exploration of minerals, water, oil, geothermal and other resources. The joint inversion is the mainstream method of data processing of its comprehensive geophysical method. Foreign scientists have proposed a joint inversion method of structural coupling between two or more physical parameters, and domestically realized the joint inversion method of two or more physical parameters. The joint inversion method of structural coupling among them. [0003] At present, the joint inversion data processing of large data volume has become an important development direction. The existing joint inversion mostly uses the inversion calculation in the mode...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 张镕哲李桐林邓馨卉庄严侯宇健石会彦杨贺天李少朋白云天
Owner JILIN UNIV
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