
The UK North Sea Transition Authority has awarded the required permits for the East Irish Sea project, and the project has reached financial close. The carbon capture and storage storage project is expected to receive its first carbon dioxide in 2028.
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SPE has unveiled a new optional tagline—Solutions. People. Energy.—designed to emphasize the Society’s mission of sharing innovative solutions, empowering members, and addressing the global demand for sustainable energy.
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The energy-focused LLM project by Aramco Americas, SPE, and i2k Connect has entered the testing phase and is on track for licensing to operators later this year.
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Industry leaders say they believe oil and gas will continue to play a pivotal role in the energy mix in the lengthening energy transition timeline.
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Real-time location systems have emerged as invaluable tools for enhancing safety and efficiency in the operations of oil and gas organizations. This paper investigates the various applications of the technology within the industry, highlighting its transformative effect on safety protocols and operational efficiency.
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It has been 15 years since an explosion ripped through the Deepwater Horizon, an oil rig operating in the Gulf Coast region, triggering the worst oil spill to occur in US waters and one of the worst environmental disasters in US history. Is the offshore environment safer now than it was in 2010?
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A robotic arm, camera system, and virtual reality helped EniProgetti and University of Naples researchers overcome the major challenges of direct-contact nondestructive testing using a drone.
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Shell’s combination of digital worker technologies enables collaborative troubleshooting and inspections while reducing travel and boosting efficiency.
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This article describes a technology combining a compression unit with a flexible line to offer a flaring alternative for transferring hydrocarbons.
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This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas-imaging camera to detect natural gas leaks.
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This paper aims to provide insights to address the challenge of identifying the optimal point within the gas-processing lineup for recovering a high-purity CO₂ stream suitable for sequestration.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.