Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method

    Access Status
    Fulltext not available
    Authors
    Kieu, D.
    Kepic, Anton
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Kieu, D. and Kepic, A. 2015. Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method. ASEG Extended Abstracts. 2015 (1): pp. 1-4.
    Source Conference
    ASEG Extended Abstracts
    DOI
    10.1071/ASEG2015ab109
    School
    Department of Exploration Geophysics
    URI
    http://hdl.handle.net/20.500.11937/8970
    Collection
    • Curtin Research Publications
    Abstract

    Seismic impedance inversion produces results that should be better for geological interpretation. However, seismic impedance inversion in mineral exploration normally suffers from poor signal-to-noise, and a lack of well control normally assumed for the process. To counter these problems we have developed an approach that exploits the fact that the geology in these environments often has fewer distinct geological units so we can restrict the number of physical parameters possible. A model-based seismic impedance inversion method using fuzzy c-means clustering to constrain inversion with petrophysical information has been developed. Using synthetic examples, we show that our method effectively recovers the true model even when the data is strongly contaminated by noise. This method is applied to seismic data from a US gold mining district and the results are reasonably consistent with well log data. The impedance images provide a better basis for geological interpretation than reflection images alone.

    Related items

    Showing items related by title, author, creator and subject.

    • Feasibility of rock characterization for mineral exploration using seismic data
      Harrison, Christopher Bernard (2009)
      The use of seismic methods in hard rock environments in Western Australia for mineral exploration is a new and burgeoning technology. Traditionally, mineral exploration has relied upon potential field methods and surface ...
    • A new co-operative inversion strategy via fuzzy clustering technique applied to seismic and magnetotelluric data
      Thong Kieu, D.; Kepic, Anton (2015)
      Geophysical inversion produces very useful images of earth parameters; however, inversion results usually suffer from inherent non-uniqueness: many subsurface models with different structures and parameters can explain ...
    • Extracting geotechnical information from seismic reflection surveys - examples from Australian coal mines
      Hatherly, P.; Zhou, B.; Urosevic, Milovan; Peters, T. (2007)
      In Australian coal mining there is wide-spread use of seismic reflection surveying to map coal scans prior to longwall mining. The intention is mainly [0 detect any geological faults that might have an impact on mine ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.