1887

Abstract

Summary

A state-of-the-art Amplitude-versus-Angle (AVA) inversion methodology is described in this case study to quantitatively integrate partially-stacked seismic data, well logs, geologic data and geostatistical information. Deterministic and stochastic inversion algorithms are used to characterise Intra-Triassic Mungaroo gas reservoirs located in the Carnarvon Basin, Western Australia. AVA deterministic and stochastic inversions, which combine the advantages of AVA analysis with those of seismic inversion, have provided quantitative information about the lateral continuity of the Fluvio-Deltaic reservoirs as well as the delineation of the gas reservoirs, based on the interpretation of inverted elastic properties and lithology and fluid-sensitive modulus attributes. AVA stochastic inversion provides more realistic and higher-resolution results than those obtained from analogous deterministic techniques and allows for uncertainty analysis. The quantitative use of rock/fluid information through AVA seismic data, coupled with the co-simulation of elastic/petrophysical properties, provides accurate 3D models of engineering properties such as porosity, volume of shale, and water saturation which can be directly used for static model building.

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/content/papers/10.3997/2214-4609.201803244
2018-12-03
2024-04-25
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References

  1. Contreras, A., C.Torres-Verdin, W.Chester, K.Kvien, and T.Fasnacht
    , 2005, Joint stochastic inversion of petrophysical logs and 3D pre-stack seismic data to assess the spatial continuity of fluid units away from wells: Application to a Gulf of Mexico deepwater hydrocarbon reservoir. SPWLA 46th Annual Logging Symposium.
    [Google Scholar]
  2. Goodway, W., Chen, T., and Downton, J.
    , 1997, Improved AVO fluid detection and lithology discrimination using Lamé petrophysical parameters; “Lambda-Rho”, “Mu-Rho”, & “Lambda/Mu fluid stack”, from P and S inversions: 67th Annual Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 183–186.
    [Google Scholar]
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