Synchrotron-based high-pressure research in materials science Page: 1 of 41
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IMAGING CSEM DATA IN THE PRESENCE OF ELECTRICAL ANISOTROPY
Gregory A. Newman*, Michael Commer* and James J. Carazzone+
*Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley California
+ExxonMobil Upstream Research Company, Houston Texas
Email: ganewman@lbl.gov
ABSTRACT
Formation anisotropy should be incorporated into the analysis of controlled source
electromagnetic (CSEM) data because failure to do so can produce serious artifacts in the
resulting resistivity images for certain data configurations of interest. This finding is
demonstrated in model and case studies. Sensitivity to horizontal resistivity will be strongest in
the broadside electric field data where detectors are offset from the tow line. Sensitivity to the
vertical resistivity is strongest for over flight data where the transmitting antenna passes directly
over the detecting antenna. Consequently, consistent treatment of both over flight and broadside
electric field measurements requires an anisotropic modeling assumption. To produce a
consistent resistivity model for such data we develop and employ a 3D CSEM imaging algorithm
that treats transverse anisotropy. The algorithm is based upon non-linear conjugate gradients and
full wave equation modeling. It exploits parallel computing systems to effectively treat 3D
imaging problems and CSEM data volumes of industrial size. Here we use it to demonstrate the
anisotropic imaging process on model and field data sets from the North Sea and offshore Brazil.
We also verify that isotropic imaging of over flight data alone produces an image generally
consistent with the vertical resistivity. However, superior data fits are obtained when the same
over flight data are analyzed assuming an anisotropic resistivity model.1
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Synchrotron-based high-pressure research in materials science, article, Date Unknown; (https://digital.library.unt.edu/ark:/67531/metadc928877/m1/1/: accessed April 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.