Asset Management
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
The acquisition establishes a unified North American upstream analytical data set with the goal of streamlining capital allocation decisions.
Opening day remarks from President Mohamed Irfaan Ali framed fossil fuels and renewables as parallel systems amid rising demand and structural supply pressures.
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Longtime leaders in artificial lift discuss and share their insights on the rapidly evolving segment’s past, present, and future.
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The world of artificial lift has witnessed a remarkable revolution over the past 25 years, with many of the events and technology trends recorded in the Journal of Petroleum Technology.
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There will always be a need for good artificial lift engineers. So, what should the next generation of its professionals be trying to pursue?
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This paper provides insights into the technical and economic viability of repurposing oil and gas wells for geothermal energy production for direct heating.
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Slickline-Deployed Fiber-Optic Cable Provides First Production Profile for High-Temperature Gas WellThis paper describes a case study in which, in the absence of a conventional production log, distributed fiber-optic sensing, in conjunction with shut-in temperature measurements, provided a viable method to derive inflow zonal distribution.
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This paper discusses and evaluates retrofitting abandoned petroleum wells for geothermal applications as a commonly proposed solution to meet the challenge of the capital expenditure required for drilling and completion.
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This paper aims to analyze the relevance of wind and solar energy for the supply of artificial lift systems on offshore platforms in the Brazilian equatorial region.
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This paper provides an overview of a geothermal assessment project completed to assess geothermal energy resources in and around an operational high-pressure/high-temperature field on the UK Continental Shelf.
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Artificial intelligence is increasingly being used to assist in the development of materials, including metal-organic frameworks (MOFs), to advance carbon capture technologies. Researchers assembled more than 120,000 new MOF candidates within 30 minutes.
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Early adopters of large language models praise the technology’s promise to advance upstream research and software development while also offering cautionary notes.