Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province

The integration of different geophysical data has the potential to provide more accurate estimate of subsurface rock properties. Several methodologies and attempts have been developed over the years with the objective of reducing exploration risk. We have developed a cooperative joint-inversion appr...

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Main Authors: Takam-Takougang, Eric, Harris, Brett, Kepic, Anton, Le, Cuong
Format: Journal Article
Published: Society of Exploration Geophysics 2015
Online Access:http://hdl.handle.net/20.500.11937/6207
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author Takam-Takougang, Eric
Harris, Brett
Kepic, Anton
Le, Cuong
author_facet Takam-Takougang, Eric
Harris, Brett
Kepic, Anton
Le, Cuong
author_sort Takam-Takougang, Eric
building Curtin Institutional Repository
collection Online Access
description The integration of different geophysical data has the potential to provide more accurate estimate of subsurface rock properties. Several methodologies and attempts have been developed over the years with the objective of reducing exploration risk. We have developed a cooperative joint-inversion approach intended to facilitate recovery of acoustic impedance (AI) using seismic and magnetotelluric (MT) data. In this approach, the MT data provided a pathway for iteratively building large-scale low-frequency information content not directly recoverable from the seismic data themselves. The MT data provided complementary information to seismic, especially in seismically complex terrains such as overthrust belts, subbasalt and subsalt, carbonate reefs or for targets below deep cover containing limestone, concretionary layers, or basalt. On the other hand, the seismic data provided structural information necessary to derive accurate resistivity models from MT inversion and small-scale features during seismic impedance inversion. The connections between resistivity and the elastic property of rocks are obtained from petrophysical relationships derived from available borehole data, or if not available, from empirical relationships. We tested our technique on synthetic and field data. The application of cooperative joint inversion to 3D seismic and MT data sets acquired in a mineral province made it possible to recover AI distribution across a wide range of geologic environments. The resulting rock property images provided a direct link to geology that is exceedingly difficult, if not impossible, to extract from the individual data sets.
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spelling curtin-20.500.11937-62072017-09-13T14:41:37Z Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province Takam-Takougang, Eric Harris, Brett Kepic, Anton Le, Cuong The integration of different geophysical data has the potential to provide more accurate estimate of subsurface rock properties. Several methodologies and attempts have been developed over the years with the objective of reducing exploration risk. We have developed a cooperative joint-inversion approach intended to facilitate recovery of acoustic impedance (AI) using seismic and magnetotelluric (MT) data. In this approach, the MT data provided a pathway for iteratively building large-scale low-frequency information content not directly recoverable from the seismic data themselves. The MT data provided complementary information to seismic, especially in seismically complex terrains such as overthrust belts, subbasalt and subsalt, carbonate reefs or for targets below deep cover containing limestone, concretionary layers, or basalt. On the other hand, the seismic data provided structural information necessary to derive accurate resistivity models from MT inversion and small-scale features during seismic impedance inversion. The connections between resistivity and the elastic property of rocks are obtained from petrophysical relationships derived from available borehole data, or if not available, from empirical relationships. We tested our technique on synthetic and field data. The application of cooperative joint inversion to 3D seismic and MT data sets acquired in a mineral province made it possible to recover AI distribution across a wide range of geologic environments. The resulting rock property images provided a direct link to geology that is exceedingly difficult, if not impossible, to extract from the individual data sets. 2015 Journal Article http://hdl.handle.net/20.500.11937/6207 10.1190/geo2014-0252.1 Society of Exploration Geophysics restricted
spellingShingle Takam-Takougang, Eric
Harris, Brett
Kepic, Anton
Le, Cuong
Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title_full Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title_fullStr Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title_full_unstemmed Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title_short Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
title_sort cooperative joint inversion of 3d seismic and magnetotelluric data: with application in a mineral province
url http://hdl.handle.net/20.500.11937/6207