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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While the visual element is key, the core strategic component of data visualization is the ability to unlock the story in the data. -
Instinctively, we feel that greater accuracy is better and all else should be subjected to this overriding goal. This is not so. While there are a few tasks for which a change in the second decimal place in accuracy might actually matter, for most tasks, this improvement will be irrelevant.
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The ecosystem in which an algorithm must live in order to deliver value must be viewed as a whole. The algorithm can be viewed like a car’s engine. It’s rather important, but it’s not a car yet.
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Digitalization leads oil and gas research and development investment priorities, according to DNV’s 2019 annual outlook.
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Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.
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A technology initiative is changing more than the digital landscape at Murphy Oil. Since its deployment in November 2018, Murphy Labs is changing the very culture of the corporation.
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The need to optimize tank turnaround schedules is as great as it has ever been within the midstream sector, but traditional human-based tank inspections often cut into uptime while introducing safety risks. New robotic applications aim to alleviate these issues.
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The world’s largest oilfield services firm and one of the largest providers of SCADA systems have formed a joint venture to create Sensia, an integrated automation suite.
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A study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end.
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The Oklahoma City independent has a new-look portfolio and new operational and financial priorities. And now it has enlisted an energy research firm to leverage advanced analytics and machine learning to help get the most out of its assets.
