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dc.contributor.authorTakam-Takougang, Eric
dc.contributor.authorHarris, Brett
dc.contributor.authorKepic, Anton
dc.contributor.authorLe, Cuong
dc.date.accessioned2017-01-30T10:51:19Z
dc.date.available2017-01-30T10:51:19Z
dc.date.created2015-07-16T06:22:01Z
dc.date.issued2015
dc.identifier.citationTakam-Takougang, E. and Harris, B. and Kepic, A. and Le, C. 2015. Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province. Geophysics. 80 (4): pp. R175-R187.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/6207
dc.identifier.doi10.1190/geo2014-0252.1
dc.description.abstract

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.

dc.publisherSociety of Exploration Geophysics
dc.titleCooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province
dc.typeJournal Article
dcterms.source.volume80
dcterms.source.number4
dcterms.source.startPageR175
dcterms.source.endPageR187
dcterms.source.issn0016-8033
dcterms.source.titleGeophysics
curtin.departmentDepartment of Exploration Geophysics
curtin.accessStatusFulltext not available


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