Energy transition
This guest editorial addresses the need for high-temperature directional drilling technologies as the number of rigs used to develop next-generation geothermal wells is set to rise in the coming years.
The US federal government is working to stymie offshore wind power, but proponents aren’t going quietly. Armed with data, they are taking on a sea of misinformation and hostility to defend the burgeoning resource in the US, while the rest of the world moves ahead briskly.
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
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DNV projects the energy transition will be marginally slower than what it forecast last year, both in terms of emissions and in fossil fuel’s share of primary energy. -
The freely accessible online platform is the latest in a series of maps designed to reveal the continent’s untapped geothermal potential.
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Australia’s H2Perth blue and green hybrid hydrogen project is expected to benefit from carbon credits from the offshore Bonaparte carbon storage facility where Inpex and TotalEnergies are drilling appraisal wells together with Woodside.
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The company announced that its geothermal system operated for more than 3,000 hours, which it said validates the technology’s commercial potential.
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This study recommends favoring the combustion of ammonia over hydrogen for the purpose of reducing CO₂ and nitrogen emissions.
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The supermajor’s Energy Outlook 2025 suggests geopolitical fragmentation could tilt the balance of the energy trilemma toward energy security and away from sustainability.
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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 fifth edition of the SPE Europe Energy GeoHackathon, beginning on 1 October, focuses on how data science can advance geothermal energy and drive the energy transition.
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Big oil companies are backing direct lithium extraction while the market flashes warning signs.
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Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…
