In areas with high electric anisotropy and/or steep bedding dip angles, there are significant TTI anisotropy effects in marine CSEM data. We show how TTI medium parameterization can be incorporated in 3D Gauss-Newton inversion including the recovery of bedding azimuth and dip angles. The inversion regularization has terms to stabilize the solution of the normal equations, and to include a priori information preferring models with smooth bedding dip variations. We apply the TTI inversion to a field data set from the Gulf of Mexico and show that stratigraphy dip and azimuth in agreement with independent seismic information is recovered without any initial model structure. We also compare to a corresponding VTI inversion and observe that the TTI inversion result is fitting the data better.

Presentation Date: Tuesday, October 13, 2020

Session Start Time: 8:30 AM

Presentation Time: 10:10 AM

Location: 360A

Presentation Type: Oral

Keywords:
structural geology, initial model, artificial intelligence, gauss-newton inversion, stratigraphy orientation, seg international exposition, vti inversion, reservoir characterization, upstream oil & gas, information
Subjects:
Reservoir Characterization, Exploration, development, structural geology, Seismic processing and interpretation
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2020. Society of Exploration Geophysicists
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