environment
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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. -
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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The first phase of the Norwegian project is expected to receive its first carbon dioxide this year, with the second phase slated to start operations in late 2028.
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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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This paper analyses the Global Biodiversity Framework and its relevance to the transitioning energy system, documenting the work that has been completed and that which is still ongoing.
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As part of a subnational climate coalition, the state is moving forward with a satellite data project to track methane emissions.
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This article is the second of a two-part series on produced-water management in the Gulf of Mexico and covers four themes: equipment, process configuration, operations, and effluent quality.
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The new burner, created with the help of machine learning and additive manufacturing, promises high methane destruction efficiency and combustion stability even in windy conditions.
