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Optimum design of CO2 storage and oil recovery under geological uncertainty

Author

Listed:
  • Ampomah, W.
  • Balch, R.S.
  • Cather, M.
  • Will, R.
  • Gunda, D.
  • Dai, Z.
  • Soltanian, M.R.

Abstract

This paper presents an integrated numerical framework to co-optimize EOR and CO2 storage performance under uncertainty in the Farnsworth Unit (FWU) oil field in Ochiltree County, Texas. The framework includes a field-scale compositional reservoir multiphase flow model, an uncertainty quantification model and a neural network optimization process. The reservoir flow model has been constructed based on the field geophysical, geological, and engineering data. Equation of state parameters were tuned to achieve field measured fluid properties and subsequently used to predict the minimum miscible pressure (MMP).

Suggested Citation

  • Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
  • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:80-92
    DOI: 10.1016/j.apenergy.2017.03.017
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    References listed on IDEAS

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