Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations

20 pages, 5 figures, 1 table.-- Miensopust for providing the distortion parameters for the 3D dataset from the MT3D-2 workshop. All MT3D workshop datasets are publicly available at http://www.complete-mt-solutions.com/mtnet/workshops/em_workshops.html#3DMTINV

Detalles Bibliográficos
Autores: Neukirch, Maik, Galiana, Savitri, García, Xavier
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/223112
Acceso en línea:http://hdl.handle.net/10261/223112
Access Level:acceso abierto
Palabra clave:Galvanic Electric Distortion
MT Phase Tensor
MT Amplitude Tensor
Distortion Analysis
Tensor Decomposition
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spelling Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relationsNeukirch, MaikGaliana, SavitriGarcía, XavierGalvanic Electric DistortionMT Phase TensorMT Amplitude TensorDistortion AnalysisTensor Decomposition20 pages, 5 figures, 1 table.-- Miensopust for providing the distortion parameters for the 3D dataset from the MT3D-2 workshop. All MT3D workshop datasets are publicly available at http://www.complete-mt-solutions.com/mtnet/workshops/em_workshops.html#3DMTINVThe introduction of the phase tensor marked a major breakthrough in the analysis and treatment of electric field galvanic distortion in the magnetotellurics method. Recently, the phase tensor formulation has been extended to a complete impedance tensor decomposition by introducing the complementary amplitude tensor, and both tensors can be further parameterized to represent geometric properties such as dimensionality, strike angle, and macroscopic anisotropy. Both tensors are characteristic for the electromagnetic induction phenomenon in the conductive subsurface with its specific geometric structure. The central hypothesis is that this coupling should result in similarities in both tensor¿s geometric parameters, skew, strike, and anisotropy. A synthetic example illustrates that the undistorted amplitude tensor parameters are more similar to the phase tensor than increasingly distorted ones and provides empiric evidence for the predictability of the proposed hypothesis. Conclusions drawn are reverse engineered to produce an objective function that minimizes when amplitude and phase tensor parameter dissimilarity is, along with any present distortion, minimal. A genetic algorithm with such an objective function is used to systematically seek the distortion parameters necessary to correct any affected amplitude tensor and, thus, impedance data. The successful correction of a large synthetic impedance data set with random distortion further supports the central hypothesis and serves as comparison to the state-of-the-art. The classic BC87 data set sites lit007/lit008 and lit901/lit902 have been noted by various authors to contain significant distortion and a 3D regional response, thus invalidating current distortion analysis methods and eluding geologic interpretation. Correction of the BC87 responses based on the present hypothesis conforms to the regional geologyThis work was partly funded by Repsol under the framework of the CO-DOS projectWith the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)Society of Exploration GeophysicistsRepsolAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/223112reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1190/geo2019-0359.1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2231122026-05-22T06:33:51Z
dc.title.none.fl_str_mv Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
title Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
spellingShingle Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
Neukirch, Maik
Galvanic Electric Distortion
MT Phase Tensor
MT Amplitude Tensor
Distortion Analysis
Tensor Decomposition
title_short Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
title_full Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
title_fullStr Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
title_full_unstemmed Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
title_sort Appraisal of magnetotelluric galvanic electric distortion by optimizing amplitude and phase tensor relations
dc.creator.none.fl_str_mv Neukirch, Maik
Galiana, Savitri
García, Xavier
author Neukirch, Maik
author_facet Neukirch, Maik
Galiana, Savitri
García, Xavier
author_role author
author2 Galiana, Savitri
García, Xavier
author2_role author
author
dc.contributor.none.fl_str_mv Repsol
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Galvanic Electric Distortion
MT Phase Tensor
MT Amplitude Tensor
Distortion Analysis
Tensor Decomposition
topic Galvanic Electric Distortion
MT Phase Tensor
MT Amplitude Tensor
Distortion Analysis
Tensor Decomposition
description 20 pages, 5 figures, 1 table.-- Miensopust for providing the distortion parameters for the 3D dataset from the MT3D-2 workshop. All MT3D workshop datasets are publicly available at http://www.complete-mt-solutions.com/mtnet/workshops/em_workshops.html#3DMTINV
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/223112
url http://hdl.handle.net/10261/223112
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1190/geo2019-0359.1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Society of Exploration Geophysicists
publisher.none.fl_str_mv Society of Exploration Geophysicists
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418258921160704
score 15,198674

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