Field/project development
While discussions on the commercial terms for gas sales continue, the release of the jackup rig intended to drill production wells calls into question Shell’s plans for first gas in 2027.
As Egypt’s largest oil and gas investor, Eni is ramping up its 2026–2027 drilling campaign with new investments cross the Mediterranean offshore, Nile Delta, Western Desert, and offshore Sinai to strengthen the country’s role as a regional gas and LNG export hub.
This paper presents a case study from a mature field redevelopment project where pulsed neutron logging was integrated with advanced reservoir modeling to improve the understanding of fluid-contact dynamics and optimize new horizontal well placement.
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As part of Italy's Mattei Plan—named after Enrico Mattei, Eni's first chairman—Eni will invest close to $9 billion each in Algeria, Libya, and Egypt. -
Offshore activity is expected to begin in 2027 with first oil from the 20K-psi project slated for 2028.
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The project is the most northern field offshore Norway to begin production.
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Brazil’s ANP extends BW Energy’s contract for the deepwater field from 2031 to 2042, and BW plans to further develop the field.
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The shallow-water subsea tieback to the Jupiter platform is expected to produce about 250 MMcf/D of gas at peak.
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Ginger is among the 10 upstream projects that BP plans to bring on-stream by 2027 after resetting its strategy to raise oil and gas investments to $10 billion per year.
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Launch of development drilling marks a new milestone as Romania aspires to become EU’s largest gas producer.
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This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.
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In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
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This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.
