Literature DB >> 28543228

Scenario Evaluator for Electrical Resistivity Survey Pre-modeling Tool.

Neil Terry, Frederick D Day-Lewis1, Judith L Robinson2, Lee D Slater2, Keith Halford3, Andrew Binley4, John W Lane1, Dale Werkema5.   

Abstract

Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.
© 2017, National Ground Water Association.

Mesh:

Year:  2017        PMID: 28543228      PMCID: PMC6145077          DOI: 10.1111/gwat.12522

Source DB:  PubMed          Journal:  Ground Water        ISSN: 0017-467X            Impact factor:   2.671


  1 in total

1.  A Fractured Rock Geophysical Toolbox Method Selection Tool.

Authors:  F D Day-Lewis; C D Johnson; L D Slater; J L Robinson; J H Williams; C L Boyden; D Werkema; J W Lane
Journal:  Ground Water       Date:  2016-01-06       Impact factor: 2.671

  1 in total

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