1887
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

In this paper we present the application of a single-loop litho-petro-elastic (LPE) inversion, which is a data assimilation algorithm that uses nonlinear Zoeppritz reflectivity operators with sequential filtering. It integrates rock physics models with seismic amplitude variation with offset (AVO) inversion and Bayesian inversion to define lithology, elastic, and petrophysical properties in a single loop, thus, combining several steps of the conventional reservoir characterization workflow. In the conventional multistep approach, the lithology and petrophysical properties are generated sequentially from elastic properties after AVO inversion is performed, which can add prediction uncertainty at each step and produce results that are not correlated with each other. The LPE inversion ensures that the predicted properties maintain the relationships defined by the rock physics model. The LPE inversion was tested on data from offshore Australia with three wells, for a faulted reservoir zone containing oil with a gas cap. It provided robust predictions for lithology, porosity, and water saturation, which matched acceptably at the three wells. The algorithm also accounted for subsurface uncertainties as it produced prediction probabilities of facies, porosity, and water saturation using multidimensional probability density functions. This approach can be effectively used to classify reservoir properties in a single-loop workflow.

Loading

Article metrics loading...

/content/journals/10.3997/1365-2397.fb2021081
2021-11-01
2024-03-29
Loading full text...

Full text loading...

References

  1. Aki, K.T. and Richards, P.G.
    [1980]. Quantitative Seismology:Theory and Methods. Vol. 1, W.H. Freeman and Co.
    [Google Scholar]
  2. Bachrach, R.
    [2006]. Joint Estimation of Porosity and Saturation Using Stochastic Rock Physics Modeling.Geophysics, 71(5), O53–O63.
    [Google Scholar]
  3. [2018]. Nonlinear single loop litho-petro-elastic prestack inversion using data assimilation techniques.80th EAGE Conference and Exhibition, Extended Abstracts.
    [Google Scholar]
  4. Batzle, M. and Wang, Z.
    [1992]. Seismic properties of pore fluids.Geophysics, 57, 1396–1408.
    [Google Scholar]
  5. Fatti, J.L., Smith, G.C., Vail, P.J., Strauss, P.J. and Levitt, P.R.
    [1994]. Detection of gas in sandstone reservoirs using AVO analysis: A 3D seismic case history using the Geostack technique.Geophysics, 59, 1362–1376.
    [Google Scholar]
  6. Gartrell, A.P.
    [2000]. Rheological controls on extensional styles and the structural evolution of the Northern Carnarvon Basin, North West Shelf, Australia.Australian Journal of Earth Sciences, 47(2), 231–244.
    [Google Scholar]
  7. Gassmann, F.
    [1951]. Uber die Elastizitat poroser Medien.Vierteljahrss-chrift der Naturforschenden Gesellschaft in Zurich, 96, 1–23.
    [Google Scholar]
  8. Hastings, W.K.
    [1970]. Monte Carlo sampling methods using Markov chains and its applications.Biometrika, 57, 97–109.
    [Google Scholar]
  9. Hurren, C., Broad, C., Duncan, G., Hill, R. and Lumley, D.
    [2012]. Successful Application Of 4D Seismic In The Stybarrow Field, Western Australia.SPE Asia Pacific Oil and Gas Conference and Exhibition, Perth, Australia.
    [Google Scholar]
  10. Lockhart, D., Stark, C., Rosser, J., Burns, F. and Gamarra, S.
    [2006]. The depositional architecture of a Berriasian to Tithonian lowstand systems tract in the Exmouth Sub-basin, Western Australia.SEPM conference, London.
    [Google Scholar]
  11. ManralS.
    [2020]. Enhancing Fault Interpretation Efficiency and Accuracy with Deep Convolutional Neural Network and Elastic Cloud Compute, First EAGE Digitalization Conference and Exhibition, Volume 2020, 1–5.
    [Google Scholar]
  12. Mosegaard, K. and Tarantola, A.
    [2002]. Probabilistic approach to inverse problems.International handbook of earthquake and engineering seismology. Academic Press Inc., 237–265.
    [Google Scholar]
  13. Mavko, G., Mukerji, T. and Dvorkin, J.
    [1998]. The rock physics handbook. Cambridge University Press.
    [Google Scholar]
  14. Marion, D.
    [1990]. Acoustical, mechanical, and transport properties of sediments and granular materials. Ph.D. thesis, Stanford University.
    [Google Scholar]
  15. Nickel, M. and Sønneland, L.
    [1999]. Non-rigid Matching of Migrated Time-lapse Seismic. SEG Annual Meeting.
    [Google Scholar]
  16. Roy, W.
    [1997]. The accuracy of well ties: Practical procedures and examples. SEG Expanded Abstracts, 16, 816.
    [Google Scholar]
  17. Shuey, R. T.
    [1985]. A simplification of the Zoeppritz equations.Geophysics, 50(4), 609–614.
    [Google Scholar]
  18. Tindale, K., Newell, N., Keall, J. and Smith, N.
    [1998]. Structural evolution and charge history of the Exmouth Sub-basin, Northern Carnarvon Basin, Western Australia.The Sedimentary Basins of Western Australia 2: Proceedings of the Petroleum Exploration Society of Australia, Perth, 447–472.
    [Google Scholar]
  19. Veevers, J.J.
    [1988]. Morphotectonics of Australia’s northwestem margin – a review.The North West Shelf Australia, Proceedings of Petroleum Exploration Society Australia Symposium, Perth, 19–27.
    [Google Scholar]
  20. Zoeppritz, K.
    [1919]. VIIb. Über Reflexion und Durchgang seismischer Wellen durch Unstetigkeitsflächen.Nachrichten von der Königlichen Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-physikalische Klasse, 66–84.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.3997/1365-2397.fb2021081
Loading
/content/journals/10.3997/1365-2397.fb2021081
Loading

Data & Media loading...

  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error