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

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Authors: Jianlin Fu, Ronglei Zhang, Hamid Reza Lashgari
Cited by: 1
References: 37

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).

Fields of Study & Subjects

Reservoir Engineering and Simulation Methods Process Optimization and Integration Enhanced Oil Recovery Techniques

Publication details

Journal / source
SPE Journal
Publisher
Society of Petroleum Engineers (SPE)
Volume
31
Issue
04
Pages
2693–2710
Publication date
18 February 2026
Language
EN