Optimum design of CO2 storage and oil recovery under geological uncertainty

W. Ampomah, R.S. Balch, M. Cather, R. Will, D. Gunda, Z. Dai and M.R. Soltanian

Applied Energy, 2017, vol. 195, issue C, 80-92

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).

Keywords: Enhance oil recovery; Co-optimization; Uncertainty; CO2 storage; Response surface method; Neural network (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (38)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:195:y:2017:i:c:p:80-92

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DOI: 10.1016/j.apenergy.2017.03.017

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