Risk management
War-related damage to oil and gas facilities is expected to disrupt global supply chains for years, as backlogs for critical equipment continue to grow, Rystad Energy reports.
Ir Mohd Yusri Mohamed Yusof spoke with JPT about the national oil company’s carbon capture and storage efforts, the value of cross-border cooperation, and his expectations for OTC Asia, to be held 31 March–2 April 2026 in Kuala Lumpur.
In this paper, the authors review and draw lessons from the many firsts in the Teesside CO2 transportation and storage infrastructure project.
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The SPE Asset Management Technical Section (AMTS) is teaming up with the University of Houston to launch a pilot program that advances asset management practices and supports the growth of energy professionals worldwide—setting a model for future collaborations between universities and SPE technical sections. -
The SPE Management Technical Section has been officially renamed the Asset Management Technical Section. The new name better reflects the section’s focus on asset management as a core discipline in the upstream oil and gas industry.
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This paper describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention.
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Technical safety standards are essential as global offshore exploration heats up.
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The Ohio River Valley Institute finds operator indifference, regulatory noncompliance as chief factors in state's growing number of deserted wells.
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Buoy-based camera footage, analyzed by artificial intelligence, can help reduce the risk of birds colliding with offshore wind farm turbines.
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EVP Giulia Chierchia and Chairman Helge Lund are stepping down amidst difficult Q1.
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The EIA issued a new forecast for US oil production as a result of US President Donald Trump’s recently announced tariffs.
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A 25% tariff on steel imported into the US has some US oil and gas companies nervous about future spending plans.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.
