| Title | AIM4RES, an open-source 2.5D finite differences MATLAB library for anisotropic electrical resistivity modeling |
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| Author | Gernez, S; Bouchedda, A; Gloaguen, E; Paradis, D |
| Source | Computers and Geosciences vol. 135, 104401, 2019 p. 1-10, https://doi.org/10.1016/j.cageo.2019.104401  Open Access |
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| Year | 2019 |
| Alt Series | Natural Resources Canada, Contribution Series 20190337 |
| Publisher | Elsevier |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | geophysics; Science and Technology; modelling; electrical resistivity; anisotropy; Anisotropic Inverse Modeling for RESisitivity (Aim4res) |
| Illustrations | schematic representations; models; plots; histograms |
| Program | Groundwater Geoscience Aquifer Assessment & support to mapping |
| Released | 2019 12 14 |
| Abstract | Electrical Resistivity Tomography (ERT) is one of the oldest geophysical techniques, and due to the advances of numerical techniques along with computational resources, it is widely used for geophysical
prospecting. It has found various domains of application as it is easy to implement and fast to image the ground resistivity heterogeneity. However, anisotropy, which is another key resistivity parameter, is seldom considered. Although being a
well-known phenomenon, its consideration in the characterization process is only recent. Amongst the reasons behind this is the absence of available anisotropic resistivity modeling tools. We present aim4res (Anisotropic Inverse Modeling for
RESisitivity) to that end. This open-source MATLAB library allows for 2.5D forward and inverse anisotropic resistivity modeling based on a finite differences scheme. The inverse problem is solved with a Gauss-Newton algorithm. The regularization
coefficient, initial model and constraints can be adjusted from prior knowledge in order to avoid local minima during optimization. Analytical and synthetic studies have been carried out to prove the reliability of aim4res. The results demonstrate
its ability to identify anisotropy, along with the correct geometry and resistivity amplitude. It is also able to correctly detect isotropy, as the inversion comparison with a previous toolbox already proven working showed. A real case study
inversion is carried out to demonstrate that aim4res is a relevant tool to use on the field, able to reveal strong anisotropy fields even at short scales. |
| Summary | (Plain Language Summary, not published)
Description with examples of application of a computer program for performing anisotropic inverse modeling of electrical resistivity
measurements. |
| GEOSCAN ID | 321412 |
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