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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The objective of this study is to use expired medications as green corrosion inhibitors that can be used during stimulation treatments. Because the medications are expired and not fit for human consumption, the cost is inherently low. -
A survey conducted by Unite the Union had 75% of respondents reply that they would never fly in an Airbus Super Puma helicopter amid safety concerns.
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Using autonomous systems creates efficiencies, but, even more critically, it also allows engineers to be engineers.
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This article explores the implementation of artificial intelligence vision for leak monitoring automation in the oil and gas industry and its role in improving safety standards, operational efficiency, and environmental performance.
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An economic analysis of a wellbore methodology in natural gas fields that uses gasification of methane within the wellbore (not within the reservoir) for hydrogen production while incorporating simultaneous sequestration of carbon. This new methodology offers significant energy and cost savings in addition to zero carbon being produced to the surface.
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The SPE/IADC Asia Pacific Drilling Technology Conference and Exhibition will offer opportunities to exchange views, deliberate solutions for prevailing challenges, and enhance operational efficiency through collaboration and sharing of best practices.
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A string of high-potential fires in the Gulf of Mexico leads to inspections and recommendations to improve safety.
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An agent-based model is developed and used to predict COVID-19 spread within living quarters of an offshore oil and gas platform.
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This paper investigates the use of machine learning to rapidly predict the solutions of a high-fidelity, complex physics model using a simpler physics model.
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Hunt Energy Network invested $10 million into Quidnet to help scale up the company’s concept for geopressured energy storage to the tune of 300 MW.
