Risk management
Operational drift in oil and gas starts with small, undocumented deviations that compound over time, making real-time visibility, digital workflows, and frontline execution data critical for preventing safety incidents, compliance failures, and costly operational disruptions.
As upstream operators move beyond isolated experiments, the hardest part of the AI journey is not building a model, it is making it stick.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decision timing across the reservoir cycle.
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Decision analysis is not a cookbook or series of boxes that must be checked before a project is approved, argue professors Reidar Bratvold and Steve Begg, who share some pointers on how to map out the likely consequences of decisions, assess the importance of individual factors, and choose the best.
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