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    Rights statement: This is the author’s version of a work that was accepted for publication in Computers & Geosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Geosciences, 137, 2020 DOI: 10.1016/j.cageo.2020.104423

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    Embargo ends: 4/02/21

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ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling

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ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling. / Blanchy, Guillaume; Saneiyan, Sina; Boyd, Jimmy; McLachlan, Paul; Binley, Andrew.

In: Computers and Geosciences, Vol. 137, 104423, 01.04.2020.

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@article{a43c972e34084643a2301d4b5fe81f03,
title = "ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling",
abstract = "Electrical resistivity tomography (ERT) and induced polarization (IP) methods are now widely used in many interdisciplinary projects. Although field surveys using these methods are relatively straightforward, ERT and IP data require the application of inverse methods prior to any interpretation. Several established non-commercial inversion codes exist, but they typically require advanced knowledge to use effectively. ResIPy was developed to provide a more intuitive, user-friendly, approach to inversion of geoelectrical data, using an open source graphical user interface (GUI) and a Python application programming interface (API). ResIPy utilizes the mature R2/cR2 inversion codes for ERT and IP, respectively. The ResIPy GUI facilitates data importing, data filtering, errormodeling, mesh generation, data inversion and plotting of inverse models. Furthermore, the easy to use designof ResIPy and the help provided inside makes it an effective educational tool. This paper highlights the rationale and structure behind the interface, before demonstrating its capabilities in a range of environmental problems. Specifically, we demonstrate the ease at which ResIPy deals with topography, advanced data processing, the ability to fix and constrain regions of known geoelectrical properties, time-lapse analysis and the capability for forward modeling and survey design.",
keywords = "Geophysics, Inversion, Data filtering, Electrical resistivity tomography, Induced polarization, R2/cR2",
author = "Guillaume Blanchy and Sina Saneiyan and Jimmy Boyd and Paul McLachlan and Andrew Binley",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Computers & Geosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Geosciences, 137, 2020 DOI: 10.1016/j.cageo.2020.104423",
year = "2020",
month = apr
day = "1",
doi = "10.1016/j.cageo.2020.104423",
language = "English",
volume = "137",
journal = "Computers and Geosciences",
issn = "0098-3004",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling

AU - Blanchy, Guillaume

AU - Saneiyan, Sina

AU - Boyd, Jimmy

AU - McLachlan, Paul

AU - Binley, Andrew

N1 - This is the author’s version of a work that was accepted for publication in Computers & Geosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Geosciences, 137, 2020 DOI: 10.1016/j.cageo.2020.104423

PY - 2020/4/1

Y1 - 2020/4/1

N2 - Electrical resistivity tomography (ERT) and induced polarization (IP) methods are now widely used in many interdisciplinary projects. Although field surveys using these methods are relatively straightforward, ERT and IP data require the application of inverse methods prior to any interpretation. Several established non-commercial inversion codes exist, but they typically require advanced knowledge to use effectively. ResIPy was developed to provide a more intuitive, user-friendly, approach to inversion of geoelectrical data, using an open source graphical user interface (GUI) and a Python application programming interface (API). ResIPy utilizes the mature R2/cR2 inversion codes for ERT and IP, respectively. The ResIPy GUI facilitates data importing, data filtering, errormodeling, mesh generation, data inversion and plotting of inverse models. Furthermore, the easy to use designof ResIPy and the help provided inside makes it an effective educational tool. This paper highlights the rationale and structure behind the interface, before demonstrating its capabilities in a range of environmental problems. Specifically, we demonstrate the ease at which ResIPy deals with topography, advanced data processing, the ability to fix and constrain regions of known geoelectrical properties, time-lapse analysis and the capability for forward modeling and survey design.

AB - Electrical resistivity tomography (ERT) and induced polarization (IP) methods are now widely used in many interdisciplinary projects. Although field surveys using these methods are relatively straightforward, ERT and IP data require the application of inverse methods prior to any interpretation. Several established non-commercial inversion codes exist, but they typically require advanced knowledge to use effectively. ResIPy was developed to provide a more intuitive, user-friendly, approach to inversion of geoelectrical data, using an open source graphical user interface (GUI) and a Python application programming interface (API). ResIPy utilizes the mature R2/cR2 inversion codes for ERT and IP, respectively. The ResIPy GUI facilitates data importing, data filtering, errormodeling, mesh generation, data inversion and plotting of inverse models. Furthermore, the easy to use designof ResIPy and the help provided inside makes it an effective educational tool. This paper highlights the rationale and structure behind the interface, before demonstrating its capabilities in a range of environmental problems. Specifically, we demonstrate the ease at which ResIPy deals with topography, advanced data processing, the ability to fix and constrain regions of known geoelectrical properties, time-lapse analysis and the capability for forward modeling and survey design.

KW - Geophysics

KW - Inversion

KW - Data filtering

KW - Electrical resistivity tomography

KW - Induced polarization

KW - R2/cR2

U2 - 10.1016/j.cageo.2020.104423

DO - 10.1016/j.cageo.2020.104423

M3 - Journal article

VL - 137

JO - Computers and Geosciences

JF - Computers and Geosciences

SN - 0098-3004

M1 - 104423

ER -