Management
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.
In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
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.
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The three companies signed a Memorandum of Understanding to explore the development of an energy-specific large language model. -
Standard Lithium says the latest drilling project indicates an increasing trend of lithium concentrations in the Texas portion of the Smackover formation.
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Higher oil prices and increased demand resulted in better returns for oilfield service companies.
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AIQ, ADNOC, and SLB announced a new software suite that integrates artificial intelligence into reservoir analysis and field development projects.
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The Bipartisan Infrastructure Law will be used to distribute $7 billion to the seven projects across the country.
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A Harvard economist is considering ways to protect workers from the inevitable economic shocks of the so-called “energy transition.”
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An increased focus on energy security and the effects of progressive policies and gridlock in decarbonization technology are a few of the key takeaways in DNV’s 2023 Energy Transition Outlook.
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The all-stock transaction is the second megadeal to rock the energy industry this month.
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Oil and gas professionals from 70 countries turned out for the 2023 SPE Annual Technical Conference and Exhibition (ATCE) in San Antonio, Texas.
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The computer vision startup from Porto Alegre, Brazil, earned both the People’s Choice award with a prize of $3,000 and the Best in Show award of $25,000.
