Decision-Making Under Uncertainty: Pressure Management and Optimal Well Pattern for Steamflooding

Summary A model-based workflow is presented for computable decision under uncertainty (DUU). The workflow can generate solutions to mitigate subsurface and operational uncertainties for transparent and robust decision-making. It consists of scenario generation, physics-based modeling, uncertainty assessment, economic analysis, and solution mining. A behavioral economics theory, cumulative prospect theory (CPT), is considered in the workflow to account for the effect of uncertainties on overall economics and decision. A decision tree is generated by mining the simulation results to inform decisions that make full sense in physics and in economics. The usefulness of this workflow is illustrated with an exemplary problem in steamflooding for heavy-oil recovery. The results show that the introduction of CPT for some cases may change the decision that was made on the basis of conventional expected utility theory (EUT).

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Publication Details

Journal
SPE Journal
Published
2026-02-01
DOI
https://doi.org/10.2118/231863-pa
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Decision-Making Under Uncertainty: Pressure Management and Optimal Well Pattern for Steamflooding

H.R. Lashgari, Ronglei Zhang, Jianlin Fu
SPE Journal
Reservoir Engineering and Simulation Methods
article

Decision-Making Under Uncertainty: Pressure Management and Optimal Well Pattern for Steamflooding

H.R. Lashgari, Ronglei Zhang, Jianlin Fu
article en

Abstract

Summary A model-based workflow is presented for computable decision under uncertainty (DUU). The workflow can generate solutions to mitigate subsurface and operational uncertainties for transparent and robust decision-making. It consists of scenario generation, physics-based modeling, uncertainty assessment, economic analysis, and solution mining. A behavioral economics theory, cumulative prospect theory (CPT), is considered in the workflow to account for the effect of uncertainties on overall economics and decision. A decision tree is generated by mining the simulation results to inform decisions that make full sense in physics and in economics. The usefulness of this workflow is illustrated with an exemplary problem in steamflooding for heavy-oil recovery. The results show that the introduction of CPT for some cases may change the decision that was made on the basis of conventional expected utility theory (EUT).

SPE Journal
Chevron (United States) (US), Chevron (China) (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Reservoir Engineering and Simulation Methods
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