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

    Access Status
    Fulltext not available
    Authors
    Takam-Takougang, Eric
    Harris, Brett
    Kepic, Anton
    Le, Cuong
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Takam-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.
    Source Title
    Geophysics
    DOI
    10.1190/geo2014-0252.1
    ISSN
    0016-8033
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/6207
    Collection
    • Curtin Research Publications
    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.

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