AI/machine learning
The DOE-backed EGS-Twin project aims to simulate geothermal production systems, helping operators better predict performance and maximize output.
This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.
This paper presents an autonomous, data-driven solution designed specifically for intermittent well optimization.
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A recent research effort has shown that the digital journey is full of stumbling blocks. Just like humans, advanced computing technology will get some things right and some things wrong. -
The company behind the world’s most popular search engine is trying to click with the upstream business at the most distinguished technical event of the year.
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The perceived change stemming from the spread of machine learning and artificial intelligence can feed alarming predictions about massive job losses, but replacement of humans is a low priority among organizations implementing these technologies.
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Total is expanding its development and use of artificial intelligence to bolster its exploration work, collaborating with Google Cloud—which is stepping up its presence in the oil and gas industry.
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The goal of cognitive computing is not to eliminate humans but allow highly skilled professionals to spend time doing what’s most valuable for the company.
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A look at how policy, future workforce perception, and industry standards will shape energy companies in the near and distant future.
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How can AI systems incorporate processes mimicking the slower logic- and causality-based reasoning patterns of the left brain?
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Tiny soil samples may contain as many as 300,000 species of microbial life, but a Netherlands-based startup has figured out that between 50 and 200 of them can tell an operator if a drilling location will hold oil and gas reserves.
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Southwest Research Institute is working to improve the accuracy of pipeline leak detection using sensors, artificial intelligence, and deep learning.
