Three-dimensional magnetic tensor gradient inversion method and device based on convolutional neural network

A technology of convolutional neural network and magnetic gradient tensor, which is applied in neural learning methods, biological neural network models, measurement devices, etc., can solve problems such as no gradient inversion application of magnetic field tensor, and achieve good nonlinear inversion ability , Accurate and fast prediction, practical effect

Pending Publication Date: 2022-08-09
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

Neural networks have achieved some success in geophysical inversion, but almost no application in magnetic field tensor gradient inversion

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  • Three-dimensional magnetic tensor gradient inversion method and device based on convolutional neural network
  • Three-dimensional magnetic tensor gradient inversion method and device based on convolutional neural network
  • Three-dimensional magnetic tensor gradient inversion method and device based on convolutional neural network

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[0067] In order to have a clearer understanding of the technical features, objects and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0068] refer to figure 1 The specific embodiment of the present invention discloses a three-dimensional magnetic tensor gradient inversion method based on a convolutional neural network, which specifically includes the following steps:

[0069] S1: Construct different three-dimensional magnetic anomalies in the uniform half-space research area as a forward synthesis model;

[0070] S2: Set the variation range of each parameter of the forward synthesis model;

[0071] Steps S1 and S2 are specifically: constructing three-dimensional magnetic anomalies of different scales and types in the uniform half-space research area, setting different position information such as horizontal coordinates and depths, magnetic declination angle D, m...

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Abstract

High-precision vector magnetic field detection is widely applied to the fields of celestial body magnetic field detection, aeromagnetic detection, ocean magnetic field detection, geomagnetic navigation and the like at present and is installed on airborne magnetic detection platforms such as satellites, airplanes, unmanned aerial vehicles, submarines and the like, and due to the fact that the data acquisition amount is large, calculation-intensive processes such as processing of a large amount of magnetic vector data and three-dimensional inversion are involved. The invention provides a novel inversion method for directly extracting parameters from a magnetic tensor gradient data image by using a CNN (Convolutional Neural Network) and synthesizing the parameters to generate a model matched with a detection target body. The method comprises the following steps of: performing forward modeling on a synthetic source body to obtain enough magnetic tensor gradient data samples; and adjusting a volume CNN structure, adding a shear layer, and realizing prediction of each parameter. Through single and double cube model numerical simulation, the algorithm accuracy is verified. According to numerical simulation and comparison test results, the CNN network has good nonlinear inversion capability, can realize accurate and rapid prediction of magnetic tensor gradient inversion, and is high in practicability and wide in application range.

Description

technical field [0001] The invention relates to the field of magnetic tensor gradient inversion, in particular to a three-dimensional magnetic tensor gradient inversion method and device based on a convolutional neural network. Background technique [0002] Tensor gradient measurement is an important detection method in magnetic detection, especially full tensor measurement, which not only preserves the intensity and direction information of the vector, but also ensures that the common mode suppression field from the earth's core, from deep in the earth's crust. Regional fields and geomagnetic changes from the ionosphere and magnetosphere, as well as higher resolution, can reveal detailed features such as superimposed anomalies. It has the advantages of strong anti-interference ability and high precision, and is widely used in the fields of celestial magnetic field detection, aeromagnetic detection, ocean magnetic field detection and geomagnetic navigation, etc. It is instal...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V3/08G01V3/38G06N3/04G06N3/08
CPCG01V3/08G01V3/38G06N3/084G06N3/082G06N3/045Y02A90/30
Inventor 邓华胡祥云蔡红柱刘双杨健刘亚军彭荣华韩波白宁波
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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