Reservoir
More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oil fields.
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
Oman is embarking on a renewed effort to deploy the latest hydraulic fracturing technologies and techniques, tailored to its unique reservoirs and challenges.
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Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins. -
The third quarter marked the first reporting period that two publicly traded US oil and gas companies did not combine since 2022.
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We’re thrilled to announce the launch of the 2025 SPE/JPT Drilling and Hydraulic Fracturing Technology Review. This exclusive, official publication will be distributed at three major SPE industry events.
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Canadian Natural Resources strengthens its position as a leading oil and gas producer in Canada.
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The agreement formalizes JV ownership of Turnwell Industries which ADNOC Drilling created to manage a $1.7 billion unconventional drilling contract awarded in May.
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This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia.
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This paper describes an optimized multizone single-trip gravel-pack system developed and implemented successfully in Brunei.
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This paper describes the qualification of a multilayer, open-cell matrix polymer system for the first horizontal deployment in an offshore gas well.
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This paper describes installation of autonomous inflow control valves in the Bretaña Norte field in Peru, enabling effective water control even though the trial well was placed in the flank, close to the oil/water contact.
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This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.
