Abstract : Anthropogenic noise, cost and logistical constrains generally limit to the use of land CSEM to a single
transmitter position for the deep imaging of the electrical conductivity. As the inversion of CSEM data in
the near field using a single transmitter position suffers from critical sensitivity singularities, we proposed
a robust inversion framework adapted to this ill-conditioned inversion problem. The framework relies
specifically on a robust Gauss-Newton solver, several model parameter transformations to compensate for
the heterogeneous sensitivities, and on the reformulation of the CSEM data under the form of a pseudo-
MT tensor. We describe here the approach used for modelling and inversion implemented in our code
POLYEM3D and the new pseudo-MT formulation. We illustrate its application on a pathological synthetic
case inspired from Grayver et al. (2013) and then show the application of the process to a real CSEM
dataset acquired in the context of thermal water prospection.
https://hal-brgm.archives-ouvertes.fr/hal-01528671
Contributeur : Francois Bretaudeau <>
Soumis le : lundi 29 mai 2017 - 14:39:23 Dernière modification le : vendredi 4 août 2017 - 01:04:22 Archivage à long terme le : : mercredi 6 septembre 2017 - 11:03:01
François Bretaudeau, Nicolas Coppo, Pierre Wawrzyniak, Sebastien Penz. 3D land CSEM with a single transmitter position. 79th EAGE Conference and Exhibition 2017, EAGE, Jun 2017, Paris, France. ⟨hal-01528671⟩