Risk management
The 2026 Upstream Scale Guidelines establish a common workflow for field measurements, scale modeling, and risk assessment to support more consistent operational decisions.
This paper presents an approach for safe, efficient, and cost-effective legacy well reabandonment.
A shared digital mindset across subsurface, subsea, and drilling and wells is accelerating well planning at Vår Energi.
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In spite of massive investments in project management best practices and the organizations to implement them, major oil and gas projects continue to experience cost overruns and schedule delays. A root cause that has not been sufficiently explored is the built-in bias toward overconfidence.
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In this paper, a data-driven model is applied to derive optimum maintenance strategy for a petroleum pipeline. The model incorporates structured expert judgment to calculate the frequency of failure, considering various failure mechanisms.
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Cost estimation for facilities depends on early concept selection and critical inputs, often complicated by uncertainty in one or more of the critical inputs. Empirical cost models and cost modeling methods using these inputs vary in degrees of scope, comprehensiveness, and robustness.
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Engineers in the oil and gas industry make tough decisions for a wide variety of issues, including risk and safety, and about design and other types of tradeoffs, as well as operational assessments.
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