Practical Inversion of Electric Resistivity in 3D from Frequency-domain Land CSEM Data

François Bretaudeau 1 Sebastien Penz 1 Nicolas Coppo 1 Pierre Wawrzyniak 1 Mathieu Darnet 1
1 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)
Abstract : EM prospection are method of choice for many applications such as deep water or geothermal prospection because of their sensitivity to electrical resistivity and their potential to investigate at depths of 500m or even more. However, the investigated areas in Europe are usually urbanised and industrialised so high level of cultural noise prevents from the use of MT. Land CSEM is an alternative. But cost and logistical constrains may limits to the use of a small number of transmitter positions, often only one. The inversion of CSEM data in the near field using a single transmitter position suffers from critical sensitivity singularities due to the unsymmetrical illumination. To overcome this problem we proposed an inversion framework adapted to this ill-conditioned inversion problem. The framework relies specifically on a robust Gauss-Newton solver, on model parameter transformations and data reformulation under the form of pseudo-MT tensors. We describe here the modelling and inversion approach implemented in our code POLYEM3D and describe the framework proposed for its practical application. We illustrate its application on synthetic cases and then show the application of the process to a real CSEM dataset acquired for thermal water prospection at a few kilometer from a nuclear power plant in France.
Keywords : land CSEM 3D inversion
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Contributeur : Francois Bretaudeau <>
Soumis le : jeudi 27 juillet 2017 - 11:46:55
Dernière modification le : mardi 21 novembre 2017 - 01:13:01

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François Bretaudeau, Sebastien Penz, Nicolas Coppo, Pierre Wawrzyniak, Mathieu Darnet. Practical Inversion of Electric Resistivity in 3D from Frequency-domain Land CSEM Data. 23rd European Meeting of Environmental and Engineering Geophysics, EAGE, Sep 2017, Malmo, Sweden. ⟨10.3997/2214-4609.201702035 ⟩. ⟨hal-01569652⟩

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