Environment
This paper details a data-driven methodology applied in Indonesia to enhance flare-emission visibility and enable targeted reduction strategies by integrating real-time process data with engineering models.
This study presents the development of a biodegradable surfactant developed using principles of environmentally friendly chemistry from natural sources. The goal is to develop an effective and environmentally friendly surfactant that can emulsify and disperse oil to reduce its effects on marine environments.
This study ascertains the capital expenditure and operating expenditure associated with the reuse of existing facilities, specifically regarding a carbon capture and storage project being prepared in South Korea.
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The project is expected to recover up to 300 MMscf/D of flared gas. Plans call for the recovered gas to be converted into treated dry gas, liquefied petroleum gas, and condensate for domestic use and export.
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This research aims to harness the advanced capabilities of artificial intelligence, specifically deep learning and large language models, to develop a comprehensive system for detecting and explaining oil spills.
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This paper presents a physics-informed machine learning method that enhances the accuracy of pressure transient analysis, predicting reservoir properties to enhance waste slurry injection and waste disposal.
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This paper presents a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological carbon dioxide storage in saline aquifers.
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This paper presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.
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This paper details the formulation and characterization of a novel nanoparticle system composed of polyethyleneimine and dextran sulfate for direct lithium extraction from bulk oilfield brines in North America.
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BlackRock’s Global Infrastructure Partners moves to buy nearly half of the stake in Eni's CCUS subsidiary.
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The new report shows that the intensity of methane emissions in the Permian Basin declined by more than half over 2 years.
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This paper describes a risk-based self-verification process conducted through a bespoke software application.
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This paper discusses and demonstrates the limitations of quantitative risk assessment (QRA) with respect to the usefulness of the concept in managing day-to-day and emerging risks as well as the effect of change.