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Abstract

Summary

Most of the fields in the Basin of the current study are represented by multi-stacked thin reservoirs with total thickness up to 2 thousand meters containing oil, gas-condensate and dry gas with high lateral and vertical heterogeneity. The asset in this study is a mature gas field with more than 50 years of production history, that consists from 15 gas-bearing sands of variable gas composition, that are in commingled production through the slotted liner completions while some of the sands are not yet under development and therefore, shouldn't be considered in history matching and excluded from material balance P10 reserves calculation but rather in P50 and P90 resources.

This paper shows how the application of stochastic approach for facies modeling followed by petrophysical porosity, in the presence of non-resolutive 3D seismic could help to guide the property distribution and evaluate geological uncertainties. The next very important step in the applied workflow was flow-based ranking and selection of representative case based on connected (drained) volumes that helps to achieve history match for selected base case in the presence of additional high uncertainty in contact levels and quality of production data.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201902188
2019-09-02
2024-04-20

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References

  1. Burachok, O., Zeug, M. [2018] Ranking and representative model selection: eliminating the gas between static volumetric and flow-based approaches. International Scientific and Technical Conference “GEOPETROL 2018”, Zakopane-Koscielisko, Poland.
     [Google Scholar]
  2. Deutsch, C.V. and Journel, A.G. [1998] GSLIB: Geostatistical Software Library and User's Guide, second edition. Oxford University Press
     [Google Scholar]
  3. DvorjaninE.S. [1996] Sedimentary cycles and paleogeography of the Dnieper Donets Basin during the late Visean-Serpukhovian based on multiscale analysis of well logs. Tectonophysics, 268, 169–187.
     [Google Scholar]
  4. Kusznir, N.J., Stovba, S.M., Stephenson, R.A., Poplavskii, K.N. [1996] The formation of the northwestern Dniepr-Donets Basin: 2-D forward and reverse syn-rift and post-rift modelling. Tectonophysics, 268, 237–255.
     [Google Scholar]
  5. Mace, L., Bogush, A. [2017] Improved Resources and Reserves Estimation with the Combined Use of Scenario-Based Geological Models and Flow-Based Connectivity. SPE Middle East Oil and Gas Show and Conference, SPE 183916.
     [Google Scholar]
  6. Streltsova, I.O., Virshylo, I.V. [2018] The Burial history of Permian Sediments in the central part of the Dnipro-Donets Basin. Collection of Scientific Works of the IGS NAS of Ukraine, Vol. 11, 4–73.
     [Google Scholar]
  7. Ulmishek, G.F. [2001] Petroleum Geology and Resources of the Dnieper-Donets Basin, Ukraine and Russia. U.S. Geological Survey Bulletin, 2201-E.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902188
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Advantage of Stochastic Facies Distribution Modeling for History Matching of Multi-stacked Highly-heterogeneous Field of Dnieper-Donetsk Basin
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201902188
/content/papers/10.3997/2214-4609.201902188
/content/papers/10.3997/2214-4609.201902188
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