1887

Abstract

Summary

Karstic carbonate reservoirs commonly have multiple media of hydrocarbon storage including caves, vugs and fractures. It is often a big challenge for quantitative reservoir characterization in karstic carbonate because of the very complex seismic reflection, particularly when seismic resolution is limited. This paper aims to develop a workflow integrating geostatistical and azimuthal inversion techniques to accurately predict reservoir distribution characteristics including caves, vugs, strike and density of fractures in karstic carbonate reservoirs. The success of this workflow would provide tremendous support to the design of new development wells and dramatically increase drilling success.

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/content/papers/10.3997/2214-4609.201700968
2017-06-12
2024-04-24
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References

  1. Contreras, A., Torres-Verdin, C., Chesters, W., Kvien, K. and Fasnacht, T.
    , [2005]. Joint stochastic inversion of 3D pre-stack seismic data and well logs for high-resolution reservoir characterization and petrophysical modeling: application to deepwater hydrocarbon reservoirs in the central Gulf of Mexico. SEG, Expanded Abstracts, 1343–1346.
    [Google Scholar]
  2. Contreras, A., Torres-Verdin, C., Fasnacht, T., Chesters, W. and Kvien, K.
    , [2014]. Joint stochastic inversion of 3D prestack seismic-amplitude data and well logs for high-resolution reservoir characterization of deepwater hydrocarbon reservoirs. The Leading Edge, May, 520–525.
    [Google Scholar]
  3. Mesdag, P.
    , [2016]. A new approach to quantitative azimuthal inversion for stress and fracture detection. SEG International Exposition and 86th Annual Meeting, 357–360.
    [Google Scholar]
  4. Xu, S. and Payne, M. A.
    , [2009]. Modeling elastic properties in carbonate rocks. The Leading Edge, January, 66–74.
    [Google Scholar]
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