Management
ExxonMobil's Jason Gahr uses the five stages of grief to explain how the upstream industry should respond to the rise of AI.
BP sanctioned development of the Kaskida in 2024, with first oil from the high-pressure project expected in 2029.
SPE’s newest technical community, the Critical Minerals Technical Section, aims to connect petroleum expertise with emerging opportunities to extract lithium, rare earth elements, and other critical minerals from subsurface reservoirs and industrial brines.
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Losing drill-hungry independent and private companies in the region to robust M&A will mean an activity slowdown that is expected to impact volumes coming from the nation’s largest oil field.
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Operators are turning the tide on the Lower Tertiary trend with increasingly large stimulations that are also pushing the limits of offshore technology.
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To ensure successful outcomes, it’s crucial to understand the battery itself, define objectives clearly, and analyze operational profiles thoroughly.
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New round covers 41 parcels across almost 10.3 million hectares off Newfoundland and Labrador
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Matthew Bryant has spent years trying to convince engineers that the API proppant testing standard has significant limitations. And he may well be right.
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Developing alternative power supplies with wide-scale reliability, dependability, and minimization or elimination of GHG emissions within feasible capex/opex scenarios is the brass ring of sustainability and energy security—and data are helping us get there.
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This paper presents the completion strategy implemented in an intelligent well completed in Malaysian deepwater Block K.
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This paper describes dynamic reservoir characterization considerations, challenges, and engineering solutions used to derisk field-development decisions confirmed by a well-testing campaign in a complex setting.
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This paper describes development-plan optimization and a probabilistic uncertainty study using Latin hypercube experimental design constrained to production performance in a deepwater Gulf of Mexico field.
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This paper presents the design and development of a prototype intelligent water-injection and smart allocation tool aimed at achieving autonomous waterflood operations.