Large-scale 3D inversion of marine magnetotelluric data: Case study from the Gemini prospect, Gulf of Mexico

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Publication Type Journal Article
School or College College of Mines & Earth Sciences
Department Geology & Geophysics
Creator Zhdanov, Michael
Other Author Wan, Le; Gribenko, Alexander; ?uma, Martin; Key, Kerry; Constable, Steven
Title Large-scale 3D inversion of marine magnetotelluric data: Case study from the Gemini prospect, Gulf of Mexico
Date 2011
Description Three-dimensional magnetotelluric (MT) inversion is an emerging technique for offshore hydrocarbon exploration. We have developed a new approach to the 3D inversion of MT data, based on the integral equation method. The Tikhonov regularization and physical constraint have been used to obtain a stable and reasonable solution of the inverse problem. The method is implemented in a fully parallel computer code. We have applied the developed method and software for the inversion of marine MT data collected by the Scripps Institution of Oceanography (SIO) in the Gemini prospect, Gulf of Mexico. The inversion domain was discretized into 1.6 million cells. It took nine hours to complete 51 iterations on the 832-processor cluster with a final misfit between the observed and predicted data of 6.2%. The inversion results reveal a resistive salt structure, which is confirmed by a comparison with the seismic data. These inversion results demonstrate that resistive geoelectrical structures like salt domes can be mapped with reasonable accuracy using the 3D inversion of marine MTdata.
Type Text
Publisher Society of Exploration Geophysicists
Volume 76
Issue 1
First Page F77
Last Page F87
DOI 10.1190/1.3526299
Language eng
Bibliographic Citation Zhdanov, M. S., Wan, L., Gribenko, A., ?uma, M., Key, K., & Constable, S. (2011). Large-scale 3D inversion of marine magnetotelluric data: Case study from the Gemini prospect, Gulf of Mexico. Geophysics, 76(1), F77-F87.
Rights Management ©Society of Exploration Geophysicists, DOI: 10.1190/1.3526299.
Format Medium application/pdf
Format Extent 1,896,425 bytes
Identifier ir-main,17025
ARK ark:/87278/s6n594kt
Setname ir_uspace
ID 703310
Reference URL https://collections.lib.utah.edu/ark:/87278/s6n594kt
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