R&D/innovation
Researchers at the University of Houston have developed a new ultrathin, carbon-based film that could make AI chips run faster, cooler, and more energy-efficient.
Researchers are studying how excessive groundwater extraction is causing global and regional aquifer depletion and land subsidence.
AI is transforming oil and gas, but the real change will come from young professionals (YPs) who bridge technology and field expertise. By leading pilots, building networks, and challenging old assumptions, YPs can drive the industry’s digital transformation from within.
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Led by OSU's Prem Bikkina, SPE, the research focuses on compiling and analyzing geological and geochemical data to estimate white hydrogen availability in Oklahoma and surrounding states. -
Rajiv Nischal, head of ONGC’s Institute of Production Engineering and Ocean Technology (IPEOT), shares the company's latest developments in technology, sustainability, safety, and more.
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In this interview, Purohit explains why ultrasonic technology is rising as a dominant solution for gas-flow applications and how engineering teams can approach measurement as a tool not just for accountability but also for operational excellence.
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David Nnamdi, SPE, speaks about his work as a data scientist and engineer, his development of Sequestrix, an open-source CO2 transport network optimization tool, and where he sees data science and AI’s role in the future of sustainable energy.
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Microgrids are no longer niche innovations—they have become a foundational component of modern energy infrastructure. Realizing their full potential will require targeted policy reform, clearer regulatory frameworks, and greater access to innovative financing models.
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Tiger Skid, a custom-built cyber-physical training and testing platform, simulates real-world energy systems and industrial processes vulnerable to cyber-physical attacks.
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As the energy sector rapidly evolves to address climate change, tools such as the En-ROADS Climate Solutions Simulator are essential for young professionals seeking to understand the complexities of the transition and make informed, impactful decisions.
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A study employed a rigorous mathematical model to estimate the quantity of recoverable geothermal heat in Nigeria’s subsurface formations.
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Mineralogical, mechanical, and flow complexities in major US shale plays are tightly linked, making traditional 1D modeling inadequate. Emmanuel Obasi, SPE, addresses this with a physics-informed ML approach detailed in this article.
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Students at the Melbourne, Australia, university took home first place at the 32nd US-based Intelligent Ground Vehicle Competition.
