Processing systems/design
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.
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 deal also includes a second, lump-sum contract to expand sulfur-handling, storage, and loading facilities. -
A system that could help turn stranded-gas fields into producing projects has moved closer to reality, aided by the growing focus on reductions in carbon emissions.
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The authors describe an integrated subsurface characterization and monitoring approach for the construction of underground gas storage while ensuring long-term stability.
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The machine-learning techniques applied aim to deliver a prediction model based on both simulation and real-time field data. The model tracks and monitors system key performance indicators.
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Being first isn’t easy, as the massive Prelude has demonstrated. Since being commissioned in 2018, the world’s largest vessel has suffered a series of setbacks and has now halted production for an indefinite period of time.
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The authors propose a fast, self-learning dynamic process-modeling method that can be used for short-term forecasts, scenario modeling, and process optimization and control.
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Baker Hughes will build a modular fast-track natural gas liquids processing plant in southern Iraq to capture associated gas for power generation and to reduce flaring.
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French operator will assist country with enhanced oil recovery, natural gas gathering, and solar projects.
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The paper focuses on a process developed to identify, evaluate, and eliminate interdependent bottlenecks on the Constitution platform and its flowline network.
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SwRI’s EZ Flow treatment process is intended to cut down on cost and energy intensity of heavy-crude pipeline transportation.
