Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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Schlumberger introduced the GAIA digital exploration platform, which it says enables exploration teams to rapidly discover and access basin-scale data and manage their exploration opportunities. -
Researchers at the University of Massachusetts, Amherst, performed a life-cycle assessment for training several common large AI models. They found that the process can emit more than 626,000 lbm of carbon dioxide equivalent—nearly five times the lifetime emissions of the average American car.
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DSDE recently spoke with Bill Vass, vice president of engineering for Amazon Web Services, about his observations on the oil and gas industry’s digital efforts and Amazon’s aggressive growth in the business.
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Random Forest and Neural Network are the two widely used machine-learning algorithms. What is the difference between the two approaches? When should one use Neural Network or Random Forest?
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The criticality of above-water riser hull piping requires frequent inspections. Traditional manual inspection methods present safety and efficiency concerns, but work is being done to see if robotic technologies—such as drones and crawlers—can do the job as good as, or even better than, humans.
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As drones become a more significant part of energy projects, the guide outlines the steps operators should take in assessing their capabilities to run a drone program and the elements such programs should consider, including safety and regulatory concerns.
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As the global oil and gas industry grasps the benefits that digitalization, automation, machine learning, and artificial intelligence can bring to production and profitability, its relatively immature cyber systems are making it an attractive soft target for hackers.
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Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.
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This paper presents a unique work flow that addresses in real time the challenges of perforation and fracture-treatment design while accounting for the lithologic and stress variability along the wellbore and its surroundings.
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A thermal asset in Oman is characterized by a large-scale steam-drive/cyclic-steam-soak development project, underpinned by extensive data gathering.
