1887

Abstract

Summary

The oil-producing Birkhead Formation on the western flank of Cooper-Eromanga Basin in South Australia, is an intracratonic fluvial-lacustrine sequence deposited in a low accommodation environment during the middle to Late Jurassic age. Subtle class II to III type AVO is anticipated for the oil-bearing package. The three main challenges are (1) the substantial overlap infacies for the reservoir rock properties (2) lower signal-to-noise of the seismic data quality due to land acquisition; and (3) mapping of sand distribution across two different surveys. These challenges were addressed through the proven workflow comprising integrated and iterative seismic petrophysics and rock physics modelling (PP-RP), seismic conditioning followed by joint facies and elastic properties geostatistical inversion, with survey-varying wavelets. Uncertainties in facies overlaps, seismic-well ties, estimated wavelets are systematically reduced throughout the workflow before finally use in geostatistical modelling and geostatistical inversion. The geostatistical inversion results have provided much more insight for future well placement and field development. High resolution and more apparent geological features that are consistent with the interpreted depositional environment of the Birkhead interval can be observed. Notably, the prediction for the continuity of sand across the surveys now looks possible and geological.

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/content/papers/10.3997/2214-4609.202477112
2024-11-20
2026-02-06
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References

  1. A.Mannini, S.J.Yap, D.Cunha, E.Shirley, J.Zhou, A.Mathur, A.Mandong, R.Shaw and J.Ting. [2022]. Advanced Geostatistical Seismic Reservoir Characterization in the Growler Field. APGCE, Nov 2022, Volume 2022, p.1–7.
    [Google Scholar]
  2. Contreras, A., Torres-Verdin, C. and Fasnacht, T. [2006]. AVA simultaneous inversion of partially stacked seismic amplitude data for spatial delineation of lithology and fluid units of deepwater hydrocarbon reservoirs in the central Gulf of Mexico, Geophysics, 71, E41–E48.
    [Google Scholar]
  3. Debeye, H. [2018]. Solving for fades in seismic inversion is essential for realistic reservoir models. 80th EAGE Conference & Exhibition, Copenhagen, Expanded Abstracts, Workshop WS05.
    [Google Scholar]
  4. Debeye, H. [2019]. Spatial Continuity and Simultaneous Seismic Inversion of Facies and Reservoir Properties Ready for Flow Simulation. Conference Proceedings, Petroleum Geostatistics 2019, Sep 2019, Volume 2019, p.1–5.
    [Google Scholar]
  5. Debeye, H. W. J. and P.Van Riel [1990]. Lp-norm deconvolution: Geophysical Prospecting, 38, no. 4, 381–403.
    [Google Scholar]
  6. Goodman, J. and Sokal, A. [1989] Multigrid Monte Carlo method. Conceptual foundations. Physical Review D - Particles, Fields, Gravitation and Cosmology, 40(6), 2035–2071.
    [Google Scholar]
  7. Pendrel, J. [2001]. Seismic inversion — The best tool for reservoir characterisation: CSEG Recorder, 26, 16–23.
    [Google Scholar]
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