Utilizing massively parallel co-processors in the AarhusInv 1D forward and inverse AEM modelling code

Kirkegaard, Casper; Andersen, Kristoffer; Boesen, Tue; Christiansen, A.V.; Auken, Esben; Fiandaca, Gianluca

doi:10.1071/aseg2015ab125

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…It can be used as a benchmark to test and compare geophysical inversion procedures for tTEM systems. Stochastic inversion (Mosegaard and Tarantola, 1995;Linde et al, 2017) using different methods or types of prior knowledge could also be applied to this data set and be compared with the published results. In addition, if other geophysical data are acquired at the same site in the future, they could complement the analysis by performing joint inversion.…”

Section: Background and Summarymentioning

confidence: 99%

tTEM20AAR: a benchmark geophysical data set for unconsolidated fluvioglacial sediments

Néven

Maurya

Christiansen

et al. 2021

Earth Syst. Sci. Data

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Abstract. Quaternary deposits are complex and heterogeneous. They contain some of the most abundant and extensively used aquifers. In order to improve the knowledge of the spatial heterogeneity of such deposits, we acquired a large (1500 ha) and dense (20 m spacing) time domain electromagnetic (TDEM) data set in the upper Aare Valley, Switzerland (available at https://doi.org/10.5281/zenodo.4269887; Neven et al., 2020). TDEM is a fast and reliable method to measure the magnetic field directly related to the resistivity of the underground. In this paper, we present the inverted resistivity models derived from this acquisition. The depth of investigation ranges between 40 and 120 m, with an average data residual contained in the standard deviation of the data. These data can be used for many different purposes: from sedimentological interpretation of quaternary environments in alpine environments, geological and hydrogeological modeling, to benchmarking geophysical inversion techniques.

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Section: Background and Summarymentioning

confidence: 99%

tTEM20AAR: a benchmark geophysical data set for unconsolidated fluvioglacial sediments

Néven

Maurya

Christiansen

et al. 2021

Earth Syst. Sci. Data

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“…The electrical resistivities of the underground are then estimated using a series of 3D constrained 1D-inversions. The 1D inversion is based on the AarhusInv code (Auken et al, 2015;Kirkegaard et al, 2015). This code is an implementation of a 1D non-linear damped least-squares solution, with a modeled transfer function for the TEM instrumentation.…”

Section: Inversionmentioning

confidence: 99%

“…The can be freely downloaded on the Zenodo platform (https://doi.org/10.5281/ZENODO.4269887). The forward code used for the tTEM data presented here is the AarhusInv developped by the Aarhus University Hydrogeophysics group (Auken et al, 2015;Kirkegaard et al, 2015). The AarhusInv code is free to use for research purpose, and can then be combined with any other inversion technique (https://hgg.au.dk/software/aarhusinv/).…”

Section: Data Validationmentioning

confidence: 99%

tTEM20AAR: a benchmark geophysical dataset for unconsolidated ﬂuvio-glacial sediments

Néven

Maurya

Christiansen

et al. 2021

Preprint

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Abstract. Quaternary deposits are complex and heterogeneous. They contain some of the most abundant and extensively used aquifers. In order to improve the knowledge of the spatial heterogeneity of such deposits, we acquired a large (more than 1400 hectares) and dense (20 m spacing) Time Domain ElectroMagnetic (TDEM) dataset in the upper Aare Valley, Switzerland. TDEM is a fast and reliable method to measure the magnetic field directly related to the resistivity of the underground. In this paper, we present the inverted resistivity models derived from this acquisition, and all the necessary data in order to perform different inversions on the processed data (https://doi.org/10.5281/ZENODO.4269887 (Neven et al., 2020)). The depth of investigation ranges between 40 to 120 m depth, with an average data residual contained in the standard deviation of the data. These data can be used for many different purposes: from sedimentological interpretation of quaternary environments in alpine environments, geological and hydrogeological modeling, to benchmarking geophysical inversion techniques.

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Towards 3D inversion of ground based TEM data

Andersen

Kirkegaard

Auken

et al. 2016

ASEG Extended Abstracts

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Utilizing massively parallel co-processors in the AarhusInv 1D forward and inverse AEM modelling code

Cited by 5 publications

References 6 publications

tTEM20AAR: a benchmark geophysical data set for unconsolidated fluvioglacial sediments

tTEM20AAR: a benchmark geophysical data set for unconsolidated fluvioglacial sediments

tTEM20AAR: a benchmark geophysical dataset for unconsolidated ﬂuvio-glacial sediments

Towards 3D inversion of ground based TEM data

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