CN112749493A - Geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalue - Google Patents

Geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalue Download PDF

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CN112749493A
CN112749493A CN202110093067.4A CN202110093067A CN112749493A CN 112749493 A CN112749493 A CN 112749493A CN 202110093067 A CN202110093067 A CN 202110093067A CN 112749493 A CN112749493 A CN 112749493A
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王明
熊盛青
王林飞
林晓星
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China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
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Abstract

The invention discloses a geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalues. The method comprises the following steps: acquiring full magnetic gradient tensor data matrix of magnetic navigation data
Figure DDA0002913404030000011
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z; calculating eigenvalue lambda of full magnetic gradient tensor data matrix T1、λ2、λ3(ii) a Calculating the total modulus A of the full magnetic gradient tensor data matrix Tm(ii) a Establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the boundary detection function RA maximum value; using filters
Figure DDA0002913404030000012
And identifying the boundary of the geologic body, wherein delta represents an adjusting coefficient for balancing the abnormities of the deep and shallow parts. The method can balance the boundary information of the aeromagnetic data target geologic body with different amplitude sizes, can avoid redundant false boundary abnormity, and has higher resolution, stronger anti-inclination magnetization capability and anti-noise interference.

Description

Geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalue
Technical Field
The invention relates to the field of aviation magnetic field measurement, in particular to a geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalue.
Background
The aviation magnetic field measurement data is the comprehensive reflection of magnetic geologic body magnetic field information with different depths, different forms and different scales on an observation surface, and due to the superposition effect of magnetic fields, certain anomalies with certain geological significance become complex and are difficult to identify on an original graph, so that difficulty is brought to geological interpretation work. With the continuous development and maturity of engineering technology and magnetic gradient tensor detector research and development technology, the application of magnetic tensor data in analyzing and processing the problems is also correspondingly developed. The magnetic tensor data is the gradient of magnetic field vector components, contains magnetic field information and can reflect vector magnetic moment information of a target body, has the advantages of high precision, high resolution and multiple parameters, can be used for describing the magnetization direction and the geometric form of a field source body, improves the resolution of the target geologic body, and particularly has higher resolution on a shallow target geologic body. The magnetic gradient tensor data is little influenced by the geomagnetic field due to elimination of common-mode components, and the magnetic gradient tensor data is rich in information, so that the position and magnetic moment information of a target body can be solved conveniently, the geometric form of the magnetic source body can be further described, and the resolution ratio of the magnetic source body is improved. At present, a large number of scholars research on the detection of the boundary of a geobody of a aeromagnetic data target by using magnetic gradient tensor data, and construct a corresponding boundary identification method on the basis, so that a certain identification effect is improved, the problems of incapability of effectively balancing the amplitude of depth abnormality, low precision, poor stability and noise resistance and the like still exist, particularly, false boundary results are easily generated when positive and negative aeromagnetic abnormalities are mutually overlapped and mutually influenced, and interference and misguidance are generated on later structural interpretation.
Disclosure of Invention
The invention aims to provide a geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalues.
In order to achieve the purpose, the invention provides the following scheme:
a geologic body boundary detection method based on full magnetic gradient tensor eigenvalues comprises the following steps:
acquiring full magnetic gradient tensor data matrix of magnetic navigation data
Figure BDA0002913404010000021
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z;
calculating an eigenvalue λ of the full magnetic gradient tensor data matrix T1、λ2、λ3；
Calculating the total modulus A of the full magnetic gradient tensor data matrix Tm；
Establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R;
using filters
Figure BDA0002913404010000022
Boundaries of the geologic volume are identified, where δ represents an adjustment coefficient that balances the shallow and deep anomalies.
Optionally, the eigenvalue λ of the full magnetic gradient tensor data matrix T is calculated1、λ2、λ3The method specifically comprises the following steps:
according to
Figure BDA0002913404010000023
And Mxx+Myy+MzzCalculating the eigenvalues λ at 01、λ2、λ3。
Optionally, the total modulus a of the full magnetic gradient tensor data matrix T is calculatedmThe method specifically comprises the following steps:
according to
Figure BDA0002913404010000024
Calculating the total modulus value Am。
Optionally, the adjustment coefficient δ takes a value between 0 and 1.
The invention also provides a geologic body boundary detection system based on the full magnetic gradient tensor eigenvalue, which comprises the following steps:
a gradient tensor data matrix acquisition module for acquiring a full magnetic gradient tensor data matrix of the magnetic navigation data
Figure BDA0002913404010000031
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z;
an eigenvalue calculation module for calculating the eigenvalue λ of the full magnetic gradient tensor data matrix T1、λ2、λ3；
A total modulus value calculation module for calculating total modulus value A of the full magnetic gradient tensor data matrix Tm；
A boundary detection index determining module for establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R;
a geologic body boundary identification module for employing a filter
Figure BDA0002913404010000032
Boundaries of the geologic volume are identified, where δ represents an adjustment coefficient that balances the shallow and deep anomalies.
Optionally, the feature value calculating module specifically includes:
a feature value calculation unit for calculating a feature value based on
Figure BDA0002913404010000033
And Mxx+Myy+MzzCalculating the eigenvalues λ at 01、λ2、λ3。
Optionally, the total modulus value calculating module specifically includes:
a total modulus value calculating unit for calculating a total modulus value based on
Figure BDA0002913404010000034
Calculating the total modulus value Am。
Optionally, the adjustment coefficient δ takes a value between 0 and 1.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the invention provides a geologic body boundary detection method and system based on full magnetic gradient tensor eigenvalue, wherein a boundary detection function R and a filter for identifying the boundary of the geologic body are established based on a full magnetic gradient tensor data matrix of magnetic navigation data
Figure BDA0002913404010000041
The boundary detection function R can enhance the identification of the shallow target geologic body and improve the identification precision of the shallow target geologic body; the filter can enhance the recognition of deep target geologic bodies and equalize the recognition of deep and shallow target geologic bodies. Therefore, the boundary information of the aeromagnetic data target geologic body with different amplitude sizes can be balanced, redundant false boundary abnormity is avoided, and the aeromagnetic data target geologic body has higher resolution, stronger anti-inclination magnetization capability and anti-noise interference performance.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a geologic body boundary detection method based on full magnetic gradient tensor eigenvalues according to embodiment 1 of the present invention;
FIG. 2 is a boundary diagram of a magnetic geologic body detected by the method provided by the present invention;
FIG. 3 is a boundary diagram of a magnetic geologic body detected by a general horizontal gradient method according to a conventional method;
FIG. 4 is a diagram illustrating the effect of detecting the boundaries of a magnetic geologic body in eliminating false anomalies according to the method of the present invention;
FIG. 5 is a diagram showing the effect of the boundary of a magnetic geologic body detected by a general horizontal gradient method in eliminating false anomalies;
fig. 6 is a schematic structural diagram of a geologic body boundary detection system based on full magnetic gradient tensor eigenvalues according to embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
Referring to fig. 1, the present embodiment provides a method for detecting a boundary of a geologic body based on eigenvalues of a full magnetic gradient tensor, which includes the following steps:
step 101: and acquiring a full magnetic gradient tensor data matrix of the magnetic navigation data, wherein the magnetic navigation data can be measured data or calculated data. The full magnetic gradient tensor data matrix T is the change rate of the components of the aeromagnetic field in different directions, and the matrix expression form is as follows:
Figure BDA0002913404010000051
wherein M isijRepresenting magnetic navigation dataThe first order gradient component of the magnetic field component of U in the direction of i in the direction of j, i being x, y or z, j being x, y or z.
Step 102: calculating an eigenvalue λ of the full magnetic gradient tensor data matrix T1、λ2、λ3。
Calculating the eigenvalues λ of the matrix T1、λ2、λ3The equation of (1) is:
Figure BDA0002913404010000052
from the symmetry of the full magnetic gradient tensor matrix T, i.e. Mij＝Mji(i, j ≠ 1,2,3, and i ≠ j) and in passive three-dimensional space, magnetic bits U satisfy Laplace's equation
Figure BDA0002913404010000053
Namely Mxx+Myy+MzzWhen 0, the arrangement can obtain a cubic equation:
λ3+p·λ+q＝0
by using Kaldo formula, the eigenvalue lambda can be calculated1、λ2、λ3：
Figure BDA0002913404010000061
Figure BDA0002913404010000062
Figure BDA0002913404010000063
Wherein the content of the first and second substances,
Figure BDA0002913404010000064
Figure BDA0002913404010000065
Figure BDA0002913404010000066
step 103: calculating the total modulus A of the full magnetic gradient tensor data matrix Tm。
Total modulus value AmThe calculation formula of (a) is as follows:
Figure BDA0002913404010000067
step 104: establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R. The boundary detection function R can improve the accuracy of identification of shallow target geobodies.
Step 105: using filters
Figure BDA0002913404010000071
And identifying the boundary of the geologic body, wherein delta is an adjustment coefficient for equalizing the abnormities of the depth part, and the value range of delta is 0-1, preferably 0.001. The filter can enhance the recognition of deep target geologic bodies and balance the recognition of deep and shallow target geologic bodies.
In practical applications, when a magnetic geologic body within a certain range needs to be identified, acquiring aerial survey data, i.e., magnetic navigation data, within the range, and performing the above steps 101 to 105 on the magnetic navigation data, the identification of the magnetic geologic body within the range can be achieved.
In order to verify the effectiveness of the method, theoretical model tests and actually measured data calculation are carried out on the method, and the method is compared with a total horizontal gradient method (THDR) in a conventional method. Fig. 2 is a magnetic geologic body identification result graph obtained by using the filter MF provided by the present invention, and fig. 3 is a magnetic geologic body identification result graph obtained by using a general horizontal gradient method according to a conventional method, as can be seen from a comparison between fig. 2 and fig. 3, the boundary of the magnetic geologic body in fig. 2 is more clear, and interference information is filtered out. Fig. 4 is a diagram illustrating the effect of the magnetic geologic body boundary detected by the method provided by the present invention in eliminating false anomaly, fig. 5 is a diagram illustrating the effect of the magnetic geologic body boundary detected by the general horizontal gradient method in eliminating false anomaly, as can be seen from the comparison between fig. 4 and fig. 5, the boundary identification is more accurate because no false boundary exists in fig. 4.
The method is based on the characteristic value of full magnetic gradient tensor data, a reasonable boundary detection method for the balanced aeromagnetic data target geologic body is constructed, the boundaries of multi-source field objects with different burial depths can be better detected, and the boundary identification result is more convergent. Meanwhile, the method effectively avoids the interference of the magnetization direction and noise on the result, improves the calculation stability and avoids the generation of false geologic body boundaries; the ratio function is utilized to balance the effects of the geologic bodies with different depths, so that the distribution characteristics of the geologic bodies with deeper targets can be clearly given, and higher resolution and precision are achieved.
Example 2
Referring to fig. 6, the present embodiment provides a geologic body boundary detection system based on the eigenvalues of the full magnetic gradient tensor, which includes:
a gradient tensor data matrix acquisition module 601 for acquiring a full magnetic gradient tensor data matrix of the magnetic navigation data
Figure BDA0002913404010000081
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z;
an eigenvalue calculation module 602 for calculating eigenvalues λ of the full magnetic gradient tensor data matrix T1、λ2、λ3；
An overall modulus value calculation module 603 configured to calculate an overall modulus value a of the full magnetic gradient tensor data matrix Tm；
A boundary detection indicator determining module 604 for establishing edgesBoundary detection function R ═ λ1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R;
a geologic body boundary identification module 605 for employing a filter
Figure BDA0002913404010000082
And identifying the boundary of the geologic body, wherein delta represents an adjustment coefficient for balancing the abnormities of the deep and shallow parts and takes a value between 0 and 1.
In this embodiment, the feature value calculating module 602 specifically includes:
a feature value calculation unit for calculating a feature value based on
Figure BDA0002913404010000083
And Mxx+Myy+MzzCalculating the eigenvalues λ at 01、λ2、λ3。
The total modulus value calculating module 603 specifically includes:
a total modulus value calculating unit for calculating a total modulus value based on
Figure BDA0002913404010000084
Calculating the total modulus value Am。
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (8)

1. A geologic body boundary detection method based on full magnetic gradient tensor eigenvalues is characterized by comprising the following steps:
acquiring full magnetic gradient tensor data matrix of magnetic navigation data
Figure FDA0002913402000000011
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z;
calculating an eigenvalue λ of the full magnetic gradient tensor data matrix T1、λ2、λ3；
Calculating the total modulus A of the full magnetic gradient tensor data matrix Tm；
Establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R;
using filters
Figure FDA0002913402000000012
Boundaries of the geologic volume are identified, where δ represents an adjustment coefficient that balances the shallow and deep anomalies.
2. The method for geologic volume boundary detection based on the eigenvalues of the full magnetic gradient tensor of claim 1, wherein the eigenvalues λ of the matrix of data T of the full magnetic gradient tensor are calculated1、λ2、λ3The method specifically comprises the following steps:
according to
Figure FDA0002913402000000013
And Mxx+Myy+MzzCalculating the eigenvalues λ at 01、λ2、λ3。
3. The method for detecting geologic body boundary based on full magnetic gradient tensor eigenvalue of claim 1Wherein the total modulus A of the full magnetic gradient tensor data matrix T is calculatedmThe method specifically comprises the following steps:
according to
Figure FDA0002913402000000014
Calculating the total modulus value Am。
4. The method for geologic volume boundary detection based on the eigenvalues of the full magnetic gradient tensor of claim 1 wherein the adjustment factor δ takes on values between 0 and 1.
5. A system for geologic body boundary detection based on full magnetic gradient tensor eigenvalues, comprising:
a gradient tensor data matrix acquisition module for acquiring a full magnetic gradient tensor data matrix of the magnetic navigation data
Figure FDA0002913402000000021
Wherein M isijRepresenting a first-order gradient component of a magnetic field component of the magnetic navigation data in the direction i in the direction j, wherein i is x, y or z, and j is x, y or z;
an eigenvalue calculation module for calculating the eigenvalue λ of the full magnetic gradient tensor data matrix T1、λ2、λ3；
A total modulus value calculation module for calculating total modulus value A of the full magnetic gradient tensor data matrix Tm；
A boundary detection index determining module for establishing a boundary detection function R ═ lambda1·λ2·λ3·AmAnd determining the maximum value of the boundary detection function R;
a geologic body boundary identification module for employing a filter
Figure FDA0002913402000000022
Boundaries of the geologic volume are identified, where δ represents an adjustment coefficient that balances the shallow and deep anomalies.
6. The system for detecting the boundary of a geologic body based on the eigenvalues of a full magnetic gradient tensor of claim 5, wherein the eigenvalue calculation module specifically comprises:
a feature value calculation unit for calculating a feature value based on
Figure FDA0002913402000000023
And Mxx+Myy+MzzCalculating the eigenvalues λ at 01、λ2、λ3。
7. The system for geologic body boundary detection based on the eigenvalues of the full magnetic gradient tensor of claim 5, wherein the overall modulus value calculation module specifically comprises:
a total modulus value calculating unit for calculating a total modulus value based on
Figure FDA0002913402000000031
Calculating the total modulus value Am。
8. The system for geologic volume boundary detection based on the eigenvalues of the full magnetic gradient tensor of claim 5 wherein the adjustment factor δ takes on a value between 0 and 1.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113886754A (en) * 2021-10-09 2022-01-04 中国自然资源航空物探遥感中心 Tensor eigenvalue-based Theta Map method aeromagnetic boundary detection method and device
CN113917544A (en) * 2021-10-08 2022-01-11 中国科学院空天信息创新研究院 Near-surface target position rapid delineation method based on magnetic gradient tensor eigenvalue
CN114488326A (en) * 2022-02-15 2022-05-13 中国自然资源航空物探遥感中心 Method and system for improving capability of detecting aeromagnetic data geologic body boundary
CN115236755A (en) * 2022-07-25 2022-10-25 中国自然资源航空物探遥感中心 Aeromagnetic abnormal boundary detection method and device based on tensor eigenvalue

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8229688B2 (en) * 2007-06-18 2012-07-24 Commonwealth Scientific And Industrial Research Organisation Method and apparatus for detection using magnetic gradient tensor
US9113826B2 (en) * 2009-03-04 2015-08-25 Kabushiki Kaisha Toshiba Ultrasonic diagnosis apparatus, image processing apparatus, control method for ultrasonic diagnosis apparatus, and image processing method
CN105093300A (en) * 2015-07-27 2015-11-25 中国石油天然气股份有限公司 Geologic body boundary identification method and apparatus
CN108508490A (en) * 2018-03-07 2018-09-07 吉林大学 A kind of magnetic tensor gradient data equilibrium Boundary Recognition method based on analytic signal
CN111007571A (en) * 2019-11-28 2020-04-14 吉林大学 Aeromagnetic data geologic body boundary identification method based on three-dimensional structure tensor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8229688B2 (en) * 2007-06-18 2012-07-24 Commonwealth Scientific And Industrial Research Organisation Method and apparatus for detection using magnetic gradient tensor
US9113826B2 (en) * 2009-03-04 2015-08-25 Kabushiki Kaisha Toshiba Ultrasonic diagnosis apparatus, image processing apparatus, control method for ultrasonic diagnosis apparatus, and image processing method
CN105093300A (en) * 2015-07-27 2015-11-25 中国石油天然气股份有限公司 Geologic body boundary identification method and apparatus
CN108508490A (en) * 2018-03-07 2018-09-07 吉林大学 A kind of magnetic tensor gradient data equilibrium Boundary Recognition method based on analytic signal
CN111007571A (en) * 2019-11-28 2020-04-14 吉林大学 Aeromagnetic data geologic body boundary identification method based on three-dimensional structure tensor

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周帅等: "基于三维构造张量的位场边界识别滤波器", 《地球物理学报》 *
郑强等: "基于磁力梯度全张量特征值的均衡边界识别方法", 《石油地球物理勘探》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113917544A (en) * 2021-10-08 2022-01-11 中国科学院空天信息创新研究院 Near-surface target position rapid delineation method based on magnetic gradient tensor eigenvalue
CN113886754A (en) * 2021-10-09 2022-01-04 中国自然资源航空物探遥感中心 Tensor eigenvalue-based Theta Map method aeromagnetic boundary detection method and device
CN113886754B (en) * 2021-10-09 2022-04-15 中国自然资源航空物探遥感中心 Tensor eigenvalue-based Theta Map method aeromagnetic boundary detection method and device
CN114488326A (en) * 2022-02-15 2022-05-13 中国自然资源航空物探遥感中心 Method and system for improving capability of detecting aeromagnetic data geologic body boundary
CN115236755A (en) * 2022-07-25 2022-10-25 中国自然资源航空物探遥感中心 Aeromagnetic abnormal boundary detection method and device based on tensor eigenvalue
CN115236755B (en) * 2022-07-25 2023-10-03 中国自然资源航空物探遥感中心 Tensor eigenvalue-based aeromagnetic anomaly boundary detection method and device

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