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Fast two-dimensional density inversion method based on physical property function

A density inversion and function technology, applied in geophysical surveying, instruments, measuring devices, etc., can solve the problems of large data volume, high precision and slow inversion speed, so as to improve computing speed, reduce memory usage, and improve inversion speed Effect

Inactive Publication Date: 2019-09-27
JILIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The existing technology is slow for high-precision inversion of large amounts of data, and has high requirements for computer performance

Method used

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  • Fast two-dimensional density inversion method based on physical property function
  • Fast two-dimensional density inversion method based on physical property function
  • Fast two-dimensional density inversion method based on physical property function

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Embodiment Construction

[0065] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0066] refer to Figure 1 to Figure 5 ,Such as Figure 1 to Figure 5 As shown in , a fast two-dimensional density inversion method based on physical function, including the following steps:

[0067] S1, field measurement and collection of gravity data;

[0068] S2. Determine the physical property function order of the inversion area based on gravity data or existing data;

[0069] S3, according to the physical property function distribution, the inversion area in the underground half space is divided horizontally;

[0070] S4, establishing a corresponding kernel function matrix;

[0071] S5, p...

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PUM

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Abstract

The invention discloses a fast two-dimensional density inversion method based on a physical property function. The method comprises the following steps of: S1, collecting gravity data by field actual measurement; S2, determining the physical property function order of an inversion area according to the gravity data or the existing data; S3, transversely subdividing the inversion area in the underground half space according to the distribution of the physical property function; S4, establishing a corresponding kernel function matrix; and S5, performing forward modeling on the parameter inversion result, and checking the inversion fitting degree. The fast two-dimensional density inversion method introduces the physical property function, reduces the memory occupation during operation and improves the operation speed; a construction mode of an underground half-space density model when a physical property function is introduced; the inversion speed is improved; and less memory space is occupied in the calculation process.

Description

technical field [0001] The invention relates to a two-dimensional density inversion method, in particular to a fast two-dimensional density inversion method based on physical property functions. Background technique [0002] At present, the main prospecting problems faced by my country's mineral resource replacement bases are: prospecting in the deep parts of old mines and various concealed areas is difficult, and advanced and efficient theories and technical methods are urgently needed to guide deep prospecting. Most of the metal mines in my country are located in areas with relatively good terrain conditions, and the exploration and mining depths stay above 500 meters. [0003] With the comprehensive application of satellite, aviation and other exploration methods, as well as the continuous improvement of data accuracy and exploration accuracy requirements, the role of gravity and magnetic exploration in deep exploration has been significantly enhanced. However, the tradi...

Claims

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Application Information

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IPC IPC(8): G01V7/00
CPCG01V7/00
Inventor 马国庆李宗睿李丽丽
Owner JILIN UNIV
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