Management
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.
Companies largely focused on deepwater acreage in the second Gulf lease sale held under the One Big Beautiful Bill Act.
Initiative identified as the single highest-priority action to support geothermal capital market creation following a 2-year expert analysis of financial barriers to exponential-scale geothermal development.
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Train 4 is expected to add 6 million tonnes per year of capacity to the South Texas liquefied natural gas project when it goes online in 2030.
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The deal between the Republic of the Congo and the Chinese oil and gas company aims to develop the Banga Kayo, Holmoni, and Cayo blocks and raise national oil output to 200,000 B/D by 2030.
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The companies said they plan to start deploying digital twin technologies in Oman this year.
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A total of 20 companies submitted applications for new exploration blocks offshore Norway.
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Egypt’s newest round of drilling agreements advances its quest to boost investment in mature fields to stop the freefall in gas production.
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The oilfield service company will supply power plants capable of electrifying 180,000 US homes with geothermal energy.
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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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The Human Resource Development Corporation and Society of Petroleum Engineers Asia Pacific signed a memorandum of understanding to support the development of a future-ready energy workforce and strengthen Malaysia’s position as a regional hub for technical expertise and innovation.
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This paper reviews lean construction management processes adopted in the Apani Field development, from facility design to construction management and drilling-location preparation.
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This paper presents an efficient mathematical optimization method for well placement that maximizes contact with the productive zones for the best locations in the reservoir.