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

Blanchy, Guillaume and Saneiyan, Sina and Boyd, Jimmy and McLachlan, Paul and Binley, Andrew (2020) ResIPy, an intuitive open source software for complex geoelectrical inversion/modeling. Computers and Geosciences, 137. ISSN 0098-3004

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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, error modeling, 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.

Item Type:
Journal Article
Journal or Publication Title:
Computers and Geosciences
Additional Information:
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
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1710
Subjects:
ID Code:
141169
Deposited By:
Deposited On:
06 Feb 2020 16:05
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Sep 2020 09:38