Energy transition
Fugro’s entry into the UK’s small modular reactor market follows its breakthrough in the US, where it secured a contract in February to perform a geoscience site investigation for the recommissioned Palisades Nuclear Power Plant in Michigan.
SPE member Silviu Livescu has been chosen to receive the award in recognition of his groundbreaking contributions to next-generation, low-enthalpy geothermal energy systems, which are enabling widespread, cost-effective building heating and cooling solutions.
The capability of modern wellbore surveying to increase asset value through improved subsurface modeling and completion-equipment placement is being overlooked by managers of operating companies.
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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…
