HSE & Sustainability
This paper proposes a shift in the timing of risk modeling to much further back within the job lifecycle, recognizing each function’s role in the mitigation of risk.
This article from the SPE Methane Technical Section features Arvind Ravikumar of the University of Texas at Austin and focuses on how the Energy Emissions Modeling and Data Lab is integrating satellite observations, facility-level measurements, operational data, and emissions inventories into more credible methane accounting for oil and gas systems.
The firm’s latest analysis puts the bulk of the blame on a fragmented supply chain.
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The agency’s administrator said the program “does nothing to improve air quality.”
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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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The International Energy Agency cited a wave of cancellations and persistent challenges for dropping its projection for annual production of low-emissions hydrogen by 2030 from 49 mtpa to 37 mtpa.
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In a study that applied alternative carbon carrier technology to enhanced oil recovery (EOR) scenarios, researchers at The University of Texas at Austin found that the new method recovered up to 19.5% more oil and stored up to 17.5% more carbon than conventional EOR methods.
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The spring Unified Agenda provides a snapshot of efforts to advance the president’s plans for fossil fuel exploration and infrastructure.
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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 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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This study assesses the advantages, constraints, and necessary enhancements of both passive and active electromagnetic techniques in the context of carbon capture and storage.