risk assessment

The 2026 Upstream Scale Guidelines establish a common workflow for field measurements, scale modeling, and risk assessment to support more consistent operational decisions.

This guest editorial examines why geothermal projects require a different planning, financing, and development approach than traditional oil and gas projects.

By integrating reservoir simulation, probabilistic seismic hazard and risk assessment, and machine learning, this study provides a practical framework for translating complex geoscientific research into evidence-based policy and field operations, achieving measurable reductions in seismic risk indicators in the Groningen gas field.

This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.

This paper presents a competency-centered, data-driven approach implemented to strengthen control-room emergency-response capability through a cloud-hosted, scenario-based virtual plant simulator.

This paper describes an emergency-response system deployed on artificial islands that manages complex challenges, enhances safety protocols, and improves operational efficiency in high-risk offshore environments.

The authors describe a study on key technologies for intelligent risk monitoring of workover operations.

This study presents a novel hybrid approach to enhance fraud detection in scanned financial documents.

This paper provides insight into existing tools, methodologies, and processes that can help any capital project or organization improve predictability of outcome while mitigating risks and exploiting opportunities effectively.

The authors state that issues faced by the Gorgon carbon capture and storage project primarily relate to risk and pressure management of the produced water from the Dupuy formation rather than from capture, transport, injection, and storage technologies.