Safety
Shell has demonstrated drone-in-a-box operations from its Mars floating production unit, becoming the first operator in the region to secure FAA approval for self-approved offshore beyond-visual-line-of-sight (BVLOS) flights. JPT Senior Technology Editor Jennifer Pallanich visited Shell Technology Center Houston to see the system in action and learn how autonomous dro…
SPE’s newly renamed Safety Technical Section expands the reach of human factors by integrating safety, risk management, and system resilience expertise while preserving dedicated leadership and technical focus.
As drilling operations become increasingly digital, computer vision is emerging as a continuous safety layer that complements, not replaces, established safety practices. The challenge is no longer whether artificial intelligence can detect hazards, but how operators should deploy, integrate, and govern these systems to improve safety without adding operational comple…
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This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability. -
From AI-enabled walking rigs to subsea drones and autonomous inspection robots, robotics is rapidly moving from pilot projects to field deployment. The technology promises not only greater efficiency but also a fundamental shift in how the industry approaches safety and asset management.
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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.
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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.
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The SPE Human Factors Technical Section has been officially renamed the SPE Safety Technical Section. The new name better reflects how safety is managed today across interconnected areas like human performance, risk management, and system resilience.
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The company said its frequency of serious incidents was down at the end of the year from its levels at the end of 2024.
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This paper examines how real-time monitoring can improve both incident prevention and emergency response in the oil and gas industry. Drawing from real-world examples and case studies, it provides practical strategies for implementing this technology effectively.
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This paper presents a novel application of artificial intelligence in computer vision for automating blowout-preventer pressure-chart-data extraction, demonstrating significant efficiency gains and a high return on investment.
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This paper details a data-driven methodology applied in Indonesia to enhance flare-emission visibility and enable targeted reduction strategies by integrating real-time process data with engineering models.
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This study ascertains the capital expenditure and operating expenditure associated with the reuse of existing facilities, specifically regarding a carbon capture and storage project being prepared in South Korea.
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