Environment
Buoy-based camera footage, analyzed by artificial intelligence, can help reduce the risk of birds colliding with offshore wind farm turbines.
The Dutch marine contractor says it plans to outfit its construction vessels with small modular reactors over 5 years.
The urgency of methane emissions reduction in the oil and gas sector demands a strategic approach to change management. Success hinges on fostering a shift in industry mindset, where emissions reduction is embedded into operational design and decision-making rather than seen as a regulatory burden.
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A revised biological opinion determined that the endangered species could go extinct without new precautionary measures. -
The two companies said they will evaluate the possibility of a joint venture to develop a direct air capture hub in South Texas, with XRG considering investing up to $500 million.
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Across Texas, abandoned wells are erupting with chemical-infused liquid and some have created massive lakes of contaminated water. Regulators say they need more money to address the problem.
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The company has transformed its former Genesis platform into an artificial reef for marine life off the coast of Louisiana.
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The storage permits, the first of their kind, allow the Stratos facility to move forward with plans to capture and store up to 500,000 tonnes of carbon dioxide per year.
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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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The revised report provides upstream oil and gas operators with a framework and guidelines to help select and deploy methane emissions detection and quantification technologies.
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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.
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