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Prioritizing complementary projects in mature oil fields involves decisions at risk, influenced by market scenarios, costs and availability of operating resources. This article compares the criterion of mathematical hope with a Markowitz-inspired mean-risk approach, based on the ratio of hope to standard deviation. Four hypothetical projects were evaluated by Net Present Value (NPV) in three scenarios: weak, medium and strong. The mathematical hope selects Project A, while the medium-risk approach indicates Project C as the best alternative among the projects subject to variability. Project D, with zero standard deviation, constitutes a deterministic alternative and cannot be directly ordered by the reason that determined the ranking. However, its stability may make it preferable for strongly risk-averse decision-makers. The results show that the adopted criterion and the risk aversion profile significantly influence the prioritization of alternatives.
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