risk management

A report commissioned by Havtil, the Norwegian Ocean Industry Authority, calls for better dialogue regarding pore-pressure uncertainty and higher-end drilling techniques like managed pressure drilling as methods to reduce the risk of well-control events.

This paper proposes a shift in the timing of risk modeling to much further back within the job life cycle, recognizing each function’s role in the mitigation of risk.

This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.

Expected to be commissioned in 2027, the new pipeline will double the UAE's current capacity of 1.8 million B/D of crude that can be transported beyond the contested waterway.

Drone strikes, refinery shutdowns, tanker disruptions, and halted LNG production have heightened concerns about broader supply risks.

Data and impartial viewpoints can help de-risk exploration portfolios and keep resource estimates in check.

This paper discusses a comprehensive hybrid approach that combines machine learning with a physics-based risk-prediction model to detect and prevent the formation of hydrates in flowlines and separators.

This paper presents an approach to subsea hydrate-risk management based on the understanding that some crudes have induction properties that delay hydrate formation even when the pressure and temperature conditions reach the hydrate thermodynamic region.

A resilience-based approach to safety was the focus of a panel of experts at the 2025 SPE Annual Technical Conference and Exhibition in Houston.

In today’s era of asset management, digital twins are changing risk management, optimizing operations, and benefitting the bottom line.