Production
North Sea operators produced an additional 16 million BOE from 56 reinstated wells in 2025 as improved intervention efficiency lowered costs and helped restore shut-in assets to production, according to the NSTA.
This contributed article highlights the growing importance of fiber-optic sensing and its potential to advance thanks to emerging quantum technologies.
The DOE-backed EGS-Twin project aims to simulate geothermal production systems, helping operators better predict performance and maximize output.
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ExxonMobil will retain its equity stakes in ongoing Bass Strait projects even as it hands off its operatorship responsibilities to Woodside Energy.
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Technology and partnerships remain important, while phased approaches may supplant lengthy appraisal programs, experts said during CERAWeek.
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Analysts weigh near‑term risks for Middle East oil and gas producers after a tentative 2‑week ceasefire between the US‑Israeli coalition and Iran.
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Conflict‑driven price gains may be offset by higher costs, supply‑chain risks, and a limited appetite for new drilling activity.
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This paper describes an approach to creating a digital, interconnected workspace that aligns sensor data with operational context to place the completions engineer back into a central role.
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This paper demonstrates how the integration of multiphysics downhole imaging with machine-learning techniques provides a significant advance in perforation-erosion analysis.
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Data centers could add up to 6 Bcf/D of US gas demand by 2030, creating a new opportunity for producers and reshaping how oil companies think about electricity supply.
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This paper presents a workflow that leverages a multiagent conversational system to integrate data, analytics, and domain expertise for improved completion strategies.
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This paper demonstrates the effectiveness of integrating dynamic gas separation with existing gas-avoidance methods within the same electrical submersible pump string to address these issues.
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The three featured papers illustrate how emerging computational methods—ranging from gradient-based optimization to data-driven proxies—are reshaping reservoir characterization, uncertainty assessment, and real-time decision support across diverse subsurface applications.