One-dimensional Laterally Constrained Joint Anisotropic Inversion of CSRMT and ERT Data

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One-dimensional Laterally Constrained Joint Anisotropic Inversion of CSRMT and ERT Data. / Shlykov, Arseny ; Saraev, Alexander ; Agrahari, Sudha; Tezkan, Bülent; Singh, Akarsh.

In: Journal of Environmental and Engineering Geophysics, Vol. 26, No. 1, 01.03.2021, p. 35-48.

Research output: Contribution to journal › Article › peer-review

Author

Shlykov, Arseny ; Saraev, Alexander ; Agrahari, Sudha ; Tezkan, Bülent ; Singh, Akarsh. / One-dimensional Laterally Constrained Joint Anisotropic Inversion of CSRMT and ERT Data. In: Journal of Environmental and Engineering Geophysics. 2021 ; Vol. 26, No. 1. pp. 35-48.

BibTeX

@article{4bd15a3050974c92a086737d95cfc95a,

title = "One-dimensional Laterally Constrained Joint Anisotropic Inversion of CSRMT and ERT Data",

abstract = "In this paper, we discuss several approaches for a joint inversion of controlled source radiomagnetotelluric (CSRMT) and electrical resistivity tomography (ERT) data observed over anisotropic media. We compare results of 2D isotropic joint inversion with results of a newly developed joint 1D anisotropic inversion algorithm. The developed algorithm involves the full controlled source high frequency forward and inversion formulations without the plane wave assumption. We demonstrate that for measurements on an anisotropic subsurface the isotropic joint inversion cannot fit both datasets properly due to a high anisotropy of shallow horizons of quaternary sands and loams. The joint anisotropic inversion helps to solve this problem and highlights the advantages of a joint inversion of CSRMT and ERT data. We also demonstrate application of the laterally constrain algorithm for the anisotropic inversion. Results of the joint 1D anisotropic inversion of CSRMT and ERT data were successfully compared with existing borehole data.",

author = "Arseny Shlykov and Alexander Saraev and Sudha Agrahari and B{\"u}lent Tezkan and Akarsh Singh",

year = "2021",

month = mar,

day = "1",

doi = "10.32389/jeeg20-060",

language = "English",

volume = "26",

pages = "35--48",

journal = "Journal of Environmental and Engineering Geophysics",

issn = "1083-1363",

publisher = "Environmental and Engineering Geophysical Society (EEGS)",

number = "1",

}

RIS

TY - JOUR

T1 - One-dimensional Laterally Constrained Joint Anisotropic Inversion of CSRMT and ERT Data

AU - Shlykov, Arseny

AU - Saraev, Alexander

AU - Agrahari, Sudha

AU - Tezkan, Bülent

AU - Singh, Akarsh

PY - 2021/3/1

Y1 - 2021/3/1

N2 - In this paper, we discuss several approaches for a joint inversion of controlled source radiomagnetotelluric (CSRMT) and electrical resistivity tomography (ERT) data observed over anisotropic media. We compare results of 2D isotropic joint inversion with results of a newly developed joint 1D anisotropic inversion algorithm. The developed algorithm involves the full controlled source high frequency forward and inversion formulations without the plane wave assumption. We demonstrate that for measurements on an anisotropic subsurface the isotropic joint inversion cannot fit both datasets properly due to a high anisotropy of shallow horizons of quaternary sands and loams. The joint anisotropic inversion helps to solve this problem and highlights the advantages of a joint inversion of CSRMT and ERT data. We also demonstrate application of the laterally constrain algorithm for the anisotropic inversion. Results of the joint 1D anisotropic inversion of CSRMT and ERT data were successfully compared with existing borehole data.

AB - In this paper, we discuss several approaches for a joint inversion of controlled source radiomagnetotelluric (CSRMT) and electrical resistivity tomography (ERT) data observed over anisotropic media. We compare results of 2D isotropic joint inversion with results of a newly developed joint 1D anisotropic inversion algorithm. The developed algorithm involves the full controlled source high frequency forward and inversion formulations without the plane wave assumption. We demonstrate that for measurements on an anisotropic subsurface the isotropic joint inversion cannot fit both datasets properly due to a high anisotropy of shallow horizons of quaternary sands and loams. The joint anisotropic inversion helps to solve this problem and highlights the advantages of a joint inversion of CSRMT and ERT data. We also demonstrate application of the laterally constrain algorithm for the anisotropic inversion. Results of the joint 1D anisotropic inversion of CSRMT and ERT data were successfully compared with existing borehole data.

UR - http://www.scopus.com/inward/record.url?scp=85103782860&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c8375386-79ce-36be-a01c-fa42f7689eef/

U2 - 10.32389/jeeg20-060

DO - 10.32389/jeeg20-060

M3 - Article

VL - 26

SP - 35

EP - 48

JO - Journal of Environmental and Engineering Geophysics

JF - Journal of Environmental and Engineering Geophysics

SN - 1083-1363

IS - 1

ER -

ID: 75820747