CN109471179A - A method of new processing CSAMT data - Google Patents

A method of new processing CSAMT data Download PDF

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Publication number
CN109471179A
CN109471179A CN201811316566.XA CN201811316566A CN109471179A CN 109471179 A CN109471179 A CN 109471179A CN 201811316566 A CN201811316566 A CN 201811316566A CN 109471179 A CN109471179 A CN 109471179A
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csamt
data
model
electric field
electric
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鲁杏
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/08Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices

Abstract

A kind of method of new processing CSAMT data does not change the working method technology of existing CSAMT, it does not increase input, only from the data that existing CSAMT is acquired, extract electric field component amplitude data, the algorithm that a kind of pair of electric field component amplitude data directly carries out one-dimensional inversion is developed, the processing means of existing CSAMT data are enriched.

Description

A method of new processing CSAMT data
Technical field
The present invention relates to mineral resources field, specially a kind of method of new processing CSAMT data.
Background technique
CSAMT method is the abbreviation of controlled-source audiomagnetotellurics method, and this method is by D.W.Strangway and Myron A kind of geophysical exploration method that Goldstein is proposed the 1970s.This method uses earth lead or earth-free Loop line calculates Ka Ni Asian TV Station resistivity in the electromagnetic field component that wave region measurement is mutually orthogonal as field source.CSAMT method user Workshop source, all has than AMT the shortcomings that overcoming the randomness of AMT method field source on signal strength, working efficiency and operating accuracy Very big raising.This method so far, is widely used, and obtain from proposition in mineral products, the hydrology and environment exploration Effect is reconnoitred well.But CSAMT method also has the shortcomings that it is intrinsic: it uses artificial field source, but still according to the side of AMT Method explains, it is easy to enter transition region and near region, be unsatisfactory for wave area condition, bring constructional error.
In order to solve the problems, such as CSAMT transition region and near region, Duroux proposes MELOS method, and this method only measures one Electric component or a magnetic component calculate apparent resistivity, breach the limitation in far field, observation area is expanded to the area Liao Zhong.China He Jishan academician propose wide area electromagnetic method (2010), it is believed that the ground of acquisition can't be reduced by only measuring an electric or magnetic component Lower electrical property information, is based on this, he has developed wide area electromagnetic method, and has developed specific instrument and equipment well simultaneously.Yan Shu, Xue Guo By force, Qiu Weizhong et al. also proposed CSAMT simple component data interpretation method (2017);Therefore, using the electric field magnitude of CSAMT this A but component carries out processing explanation, is feasible.
A kind of new data processing method based on existing instrument and method technology proposed by the invention, for existing instrument The CSAMT electric field component amplitude data of device equipment directly carries out the algorithm of one-dimensional inversion, can enrich existing CSAMT data Processing means.
Summary of the invention
Due to the geologic prospect research and production unit of most domestic, CSAMT preliminry basic research, this hair can be carried out at present The bright working method technology for not changing existing CSAMT, does not increase input, and only from the data that existing CSAMT is acquired, extracts Electric field component amplitude data develops the method and technology that a kind of pair of electric field component amplitude data directly carries out one-dimensional inversion, enriches existing There are the processing means of CSAMT data;Technical problem solved by the invention is to provide a kind of side of new processing CSAMT data Method, to solve the problems mentioned in the above background technology.
In the mathematic(al) representation of the electric and magnetic fields component of CSAMT, the expression formula of electric field magnitude be include underground be situated between The resistivity information of matter, therefore in theory, direct inversion obtains the resistance of underground medium from electric field magnitude information Rate information is feasible.
1, the one-dimensional layered medium CSAMT electric field component mathematic(al) representation of Electric Dipole is determined:
In formula:Expression and the equidirectional horizontal electric field component in source,For the electric dipole moment of dipole source,,For Supply current,For eelctric dipole length,For permeability of free space,For angular frequency,,,For the first layer resistivity,For the radius vector at Electric Dipole midpoint to receiving point and the folder in Electric Dipole direction Angle,For transmitting-receiving away from,WithRespectively zero and first order Bessel function,WithRespectively contact each layer Electrical function.
2, the catalogue scalar functions constrained based on smooth model are determined:
In formula:For catalogue scalar functions,For model level roughness,It is fixed for model roughness across the lay matrix Justice is the first derivative of model parameter,For regularization factors,It is poor for desired fitting,For data residual error,For Model modification amount,It is Ex to conductivity first-order partial derivative matrix,For data weighting matrix.
3, model parameter is constrained:
Layering subdivision is carried out to model, it is assumed that model there are M layers, and the CSAMT simple component electric field magnitude data amount check measured is N It is a, for the nonnegativity for efficiently reducing multi-solution He ensuring parameter, take:
In formula:To survey Ex data,For forward modeling response data,For modelThe conductivity of the prediction of layer Value,It isThe current conductivity value of layer,It isThe standard deviation of a observation data.
4, partial derivative matrix is sought:
The method that the solution of partial derivative matrix uses difference coefficient, it may be assumed that
5, minimum are asked to catalogue scalar functions, and inversion result are obtained to initial model iterative inversion of modifying:
It obtains:
Above-mentioned equation group is solved, is obtained, inversion result is obtained to initial model iterative inversion of modifying.
6, application process
Program or software are formed by computer programming using above-mentioned algorithm, theoretical model and real data are carried out one-dimensional The test of Inversion Calculation has obtained preferable application effect, and the algorithm for showing that the present invention is studied is feasible.
(1) theoretical model calculates
Two theoretical stratified models are devised, their electrical parameter is as shown in table 1.
1 theoretical model electrical parameter table of table
Inverting is carried out to above-mentioned two theoretical model using inversion algorithm of the invention, attached drawing 1 and attached drawing 2 are respectively G type and H-type The inversion result of model.In figure, color solid line is theoretical model, and solid black lines are the result that inverting obtains.
From the point of view of the inversion result of two theoretical models, the electrical parameter of model is truly reduced substantially, shows this hair It is bright it is researched and developed based on electric field magnitude one-dimensional inversion algorithm be correct and feasible.
(2) practical application
1. using the V8 instrument of existing Canadian phoenix company, fully according to conventional CSAMT working method in Anhui Province Fanchang County is worked.In actual work, using scalar equipment, point is received and dispatched away from being 100m away from for 9km, working frequency For 9600-1Hz.
2. only being extracted from initial data after obtaining CSAMT data using above-mentioned V8 instrument and scalar equipment Electric field magnitude data carry out one-dimensional inversion to electric field magnitude data, obtain resistivity number using the step 1-5 of aforementioned present invention According to
3. the resistivity data that inverting is obtained, according to actual electric wire away from being required with scale bar, formed using computer software Isogram is electric field magnitude resistivity profile figure, sees attached drawing 3.
4. combining actual geological condition and other data, geologic interpretation is carried out to electric field magnitude resistivity profile figure, is drawn Divide geological structure, sees attached drawing 4.
Compared with prior art, the beneficial effects of the present invention are: the present invention does not change the working method skill of existing CSAMT Art is not increased input, and only from the data that existing CSAMT is acquired, extracts electric field component amplitude data, develops one kind to electricity Field component amplitude data directly carries out the algorithm of one-dimensional inversion, enriches the processing means of existing CSAMT data.
Detailed description of the invention
Fig. 1 is G model inversion result figure of the present invention.
Fig. 2 is H-type model inversion result figure of the present invention.
Fig. 3 is electric field magnitude resistivity profile figure of the present invention.
Fig. 4 is section of synthetic interpretation figure of the present invention.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to design of the invention, specific structure and generation clear Chu is fully described by, to be completely understood by the purpose of the present invention, feature and effect, it is clear that described embodiment is this hair Bright a part of the embodiment, rather than whole embodiments, based on the embodiment of the present invention, those skilled in the art are not being paid Other embodiments obtained, belong to the scope of protection of the invention under the premise of creative work, in addition, designing in patent All connection/the connection relationships arrived not singly refer to that building directly connects, and addition can be passed through according to specific implementation situation by referring to Or reduce all couple auxiliaries, the coupling structure that Lai Zucheng more has, in order to make implement technical means of the invention, creation characteristic, Reach purpose to be easy to understand with effect, following further describes the present invention in conjunction with specific drawings.
As shown, the expression formula of electric field magnitude is to include in the mathematic(al) representation of the electric and magnetic fields component of CSAMT There is the resistivity information of underground medium, therefore in theory, direct inversion obtains underground Jie from electric field magnitude information The resistivity information of matter is feasible.
1, the one-dimensional layered medium CSAMT electric field component mathematic(al) representation of Electric Dipole is determined:
In formula:Expression and the equidirectional horizontal electric field component in source,For the electric dipole moment of dipole source,,For Supply current,For eelctric dipole length,For permeability of free space,For angular frequency,,,For the first layer resistivity,For the radius vector at Electric Dipole midpoint to receiving point and the folder in Electric Dipole direction Angle,For transmitting-receiving away from,WithRespectively zero and first order Bessel function,WithRespectively contact each layer Electrical function.
2, the catalogue scalar functions constrained based on smooth model are determined:
In formula:For catalogue scalar functions,For model level roughness,It is fixed for model roughness across the lay matrix Justice is the first derivative of model parameter,For regularization factors,It is poor for desired fitting,For data residual error,For Model modification amount,It is Ex to conductivity first-order partial derivative matrix,For data weighting matrix.
3, model parameter is constrained:
Layering subdivision is carried out to model, it is assumed that model there are M layers, and the CSAMT simple component electric field magnitude data amount check measured is N It is a, for the nonnegativity for efficiently reducing multi-solution He ensuring parameter, take:
In formula:To survey Ex data,For forward modeling response data,For modelThe conductivity of the prediction of layer Value,It isThe current conductivity value of layer,It isThe standard deviation of a observation data.
4, partial derivative matrix is sought:
The method that the solution of partial derivative matrix uses difference coefficient, it may be assumed that
5, minimum are asked to catalogue scalar functions, and inversion result are obtained to initial model iterative inversion of modifying:
It obtains:
Above-mentioned equation group is solved, is obtained, inversion result is obtained to initial model iterative inversion of modifying.
6, application process
Program or software are formed by computer programming using above-mentioned algorithm, theoretical model and real data are carried out one-dimensional The test of Inversion Calculation has obtained preferable application effect, and the algorithm for showing that the present invention is studied is feasible.
(1) theoretical model calculates
Two theoretical stratified models are devised, their electrical parameter is as shown in table 1.
1 theoretical model electrical parameter table of table
Inverting is carried out to above-mentioned two theoretical model using inversion algorithm of the invention, attached drawing 1 and attached drawing 2 are respectively G type and H-type The inversion result of model.In figure, color solid line is theoretical model, and solid black lines are the result that inverting obtains.
From the point of view of the inversion result of two theoretical models, the electrical parameter of model is truly reduced substantially, shows this hair It is bright it is researched and developed based on electric field magnitude one-dimensional inversion algorithm be correct and feasible.
(2) practical application
1. using the V8 instrument of existing Canadian phoenix company, fully according to conventional CSAMT working method in Anhui Province Fanchang County is worked.In actual work, using scalar equipment, point is received and dispatched away from being 100m away from for 9km, working frequency For 9600-1Hz.
2. only being extracted from initial data after obtaining CSAMT data using above-mentioned V8 instrument and scalar equipment Electric field magnitude data carry out one-dimensional inversion to electric field magnitude data, obtain resistivity number using the step 1-5 of aforementioned present invention According to
3. the resistivity data that inverting is obtained, according to actual electric wire away from being required with scale bar, formed using computer software Isogram is electric field magnitude resistivity profile figure, sees attached drawing 3.
4. combining actual geological condition and other data, geologic interpretation is carried out to electric field magnitude resistivity profile figure, is drawn Divide geological structure, sees attached drawing 4.
Compared with prior art, the beneficial effects of the present invention are: the present invention does not change the working method skill of existing CSAMT Art is not increased input, and only from the data that existing CSAMT is acquired, extracts electric field component amplitude data, develops one kind to electricity Field component amplitude data directly carries out the algorithm of one-dimensional inversion, enriches the processing means of existing CSAMT data.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention, the technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes Change and improvement all fall within the protetion scope of the claimed invention, claimed range of the invention by appended claims and Its equivalent thereof.

Claims (5)

1. a kind of method of new processing CSAMT data, it is characterised in that: include: the number in the electric and magnetic fields component of CSAMT It learns in expression formula, the expression formula of electric field magnitude is the resistivity information for including underground medium: determining the one-dimensional stratiform of Electric Dipole Medium CSAMT electric field component mathematic(al) representation:
In formula:Expression and the equidirectional horizontal electric field component in source,For the electric dipole moment of dipole source,,For power supply Electric current,For eelctric dipole length,For permeability of free space,For angular frequency,,, For the first layer resistivity,For the radius vector at Electric Dipole midpoint to receiving point and the angle in Electric Dipole direction,For transmitting-receiving away from, WithRespectively zero and first order Bessel function,WithRespectively contact the function of each layer electrical property.
2. a kind of method of new processing CSAMT data according to claim 1 is based on modulus of smoothness it is characterized by: determining The catalogue scalar functions of type constraint:
In formula:For catalogue scalar functions,For model level roughness,For model roughness across the lay matrix, definition For the first derivative of model parameter,For regularization factors,It is poor for desired fitting,For data residual error,For model Modification amount,It is Ex to conductivity first-order partial derivative matrix,For data weighting matrix.
3. a kind of method of new processing CSAMT data according to claim 1 is it is characterized by: carry out model parameter Constraint:
Layering subdivision is carried out to model, it is assumed that model there are M layers, and the CSAMT simple component electric field magnitude data amount check measured is N It is a, for the nonnegativity for efficiently reducing multi-solution He ensuring parameter, take:
In formula:To survey Ex data,For forward modeling response data,For modelThe conductivity value of the prediction of layer, It isThe current conductivity value of layer,It isThe standard deviation of a observation data.
4. a kind of method of new processing CSAMT data according to claim 1 is it is characterized by: seek partial derivative matrix:
The method that the solution of partial derivative matrix uses difference coefficient, it may be assumed that
5. a kind of method of new processing CSAMT data according to claim 1 is it is characterized by: seek catalogue scalar functions It is minimum, and inversion result is obtained to initial model iterative inversion of modifying:
It obtains:
Above-mentioned equation group is solved, is obtained, inversion result is obtained to initial model iterative inversion of modifying.
CN201811316566.XA 2018-11-07 2018-11-07 A method of new processing CSAMT data Pending CN109471179A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110348568A (en) * 2019-07-16 2019-10-18 山东科技大学 A kind of deep Mined-Out Areas method suitable for strong electromagnetic area
CN113960674A (en) * 2021-10-14 2022-01-21 湖北省水文地质工程地质勘察院有限公司 Wide-area electromagnetic method two-dimensional inversion method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4616184A (en) * 1984-06-27 1986-10-07 The United States Of America As Represented By The United States Department Of Energy CSAMT method for determining depth and shape of a sub-surface conductive object
CN103630139A (en) * 2013-12-17 2014-03-12 哈尔滨工程大学 Underwater vehicle all-attitude determination method based on magnetic gradient tensor measurement
CN106021859A (en) * 2016-05-09 2016-10-12 吉林大学 A controlled source audio-frequency magnetotellurics one-dimensional inversion method using an improved genetic algorithm

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4616184A (en) * 1984-06-27 1986-10-07 The United States Of America As Represented By The United States Department Of Energy CSAMT method for determining depth and shape of a sub-surface conductive object
CN103630139A (en) * 2013-12-17 2014-03-12 哈尔滨工程大学 Underwater vehicle all-attitude determination method based on magnetic gradient tensor measurement
CN106021859A (en) * 2016-05-09 2016-10-12 吉林大学 A controlled source audio-frequency magnetotellurics one-dimensional inversion method using an improved genetic algorithm

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
汤井田 等: "基于频点CSAMT一维最小构造反演", 《物探化探计算技术》 *
袁伟: "CSAMT一维正反演与场源效应研究", 《中国优秀博硕士学位论文全文数据库(硕士) 基础科学辑》 *
鲁杏 等: "激发极化测深数据反演方法及应用", 《地质科技情报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110348568A (en) * 2019-07-16 2019-10-18 山东科技大学 A kind of deep Mined-Out Areas method suitable for strong electromagnetic area
CN110348568B (en) * 2019-07-16 2021-02-23 山东科技大学 Deep goaf detection method suitable for strong electromagnetic interference area
CN113960674A (en) * 2021-10-14 2022-01-21 湖北省水文地质工程地质勘察院有限公司 Wide-area electromagnetic method two-dimensional inversion method
CN113960674B (en) * 2021-10-14 2023-11-21 湖北省水文地质工程地质勘察院有限公司 Wide-area electromagnetic method two-dimensional inversion method

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