3D land CSEM with a single transmitter position
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.
Origin : Files produced by the author(s)
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