Asset Management
Three wind projects planned to produce around 300 MW have entered the execution phase under a partnership with OMV Petrom and RNV Infrastructure.
A Dallas Fed survey update suggests few executives foresee a strong US production response, even with oil prices above $90/bbl.
The US Department of Energy and Pennsylvania Department of Environmental Protection will convert a horizontal Utica Shale gas well into an enhanced geothermal system. Building directly on horizontal drilling and completion practices developed in the Utica, the project will include evaluation of optimal well orientation, lateral placement, and spacing.
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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. -
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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The company credited its theory of shale oil enrichment for the significant increase in the quantity of proven reserves at the field.
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TechnipFMC, in collaboration with Halliburton, was awarded the 2025 ICoTA Intervention Technology Award and received the 2025 Curtis Blount Outstanding Paper Award.
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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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Amia Morgan, SPE, highlights this event designed to bring together students, young professionals, and seasoned industry experts to foster mentorship, inspire the next generation of STEM leaders, and promote inclusivity.
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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.
