Forward and reverse modeling method for magnetic measurement data under demagnetization effect based on integral equation

An integral equation, forward and inversion technology, applied in special data processing applications, complex mathematical operations, climate sustainability, etc., can solve problems such as three-dimensional inversion methods that have not been proposed, and achieve the effect of small errors

Active Publication Date: 2021-07-20
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

At present, there are three-dimensional forward modeling studies of the total magnetic field and three-component magnetic field under the demagnetization effect of partial differential equations and integral equations in the geophysical industry worldwide, but the t

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  • Forward and reverse modeling method for magnetic measurement data under demagnetization effect based on integral equation
  • Forward and reverse modeling method for magnetic measurement data under demagnetization effect based on integral equation
  • Forward and reverse modeling method for magnetic measurement data under demagnetization effect based on integral equation

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Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0030] Please refer to figure 1 , a method for forward and inversion of magnetic measurement data under the demagnetization effect based on the integral equation, including the following:

[0031] S1. According to the underground target area, determine the spatial range of grid division, and use the orthogonal grid to perform grid division on the spatial range to obtain the divided grid.

[0032] Mesh division principle such as figure 2 As shown, the subdivision is carried out in the form of an orthogonal grid; the schematic diagram of the model subdivision provided by the embodiment is shown in image 3 As shown, the X-axis, Y-axis, and Z-axis directions are selected as the area within the range of 200m×200m×200m as the spatial range of grid division...

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Abstract

The invention provides a forward and reverse modeling method for magnetic measurement data under a demagnetization effect based on an integral equation, and the method comprises the following steps: determining a space range of mesh generation according to an underground target region, and carrying out the mesh generation of the space range through an orthogonal mesh; setting a magnetic inclination angle, a magnetic declination angle and magnetic induction intensity of a geomagnetic field; setting an observation position, and obtaining magnetic measurement data at the observation position under the consideration of the demagnetization effect by utilizing a magnetic measurement data forward modeling calculation method under the demagnetization effect based on an integral equation; and inputting magnetic field observation data, carrying out model optimization calculation through a magnetic survey data inversion method based on an integral equation under a demagnetization effect in combination with a regularization item, and carrying out inversion calculation on an underground target to obtain an inversion result. According to the method, the magnetic measurement data forward modeling under the condition of considering the demagnetization effect can be calculated, and the inversion under the condition of considering the demagnetization effect can be carried out according to the magnetic measurement data.

Description

technical field [0001] The invention relates to the field of geophysical exploration, in particular to a method for forward and inversion of magnetic survey data under the demagnetization effect based on an integral equation. Background technique [0002] In geomagnetic detection, people usually approximate the magnetization of anomalous bodies in order to reduce the calculation time, so that the detected magnetic anomaly data of anomalous bodies often have certain errors with the actual data interpretation. In a low magnetic background, this error is negligible, but in a high magnetic background, this error has a great impact on the detection of magnetic field anomalies, and the processing results without considering the demagnetization effect have low precision, which cannot meet the needs of practical applications. Therefore, considering the demagnetization effect, the magnetic gradient tensor data can not only describe the magnetization direction of the abnormal body, th...

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Application Information

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IPC IPC(8): G06F30/20G06F17/11
CPCG06F30/20G06F17/11Y02A90/30
Inventor 左博新
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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