HSE & Sustainability
The newly named MTS brings together the full methane ecosystem, end to end—connecting technology, data, operations, and assurance across upstream, midstream, and beyond.
Monitoring on the ground is helping the industry shift from best estimates to hard data so it can bring the true emissions profile into focus.
Ongoing seismicity concerns and orphan well risks are pushing operators and regulators to explore alternatives for managing produced water.
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Real-time wellhead monitoring aims to help Romania meet new EU methane emission regulations. -
The supermajor’s Energy Outlook 2025 suggests geopolitical fragmentation could tilt the balance of the energy trilemma toward energy security and away from sustainability.
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Iraq’s Gas Growth Integrated Project aims to increase electricity generation by capturing flare gas collected from three southern oil fields. A desalination project will use treated seawater to maintain well pressures.
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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.
