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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The digital project is designed to deliver data management and insight across Aramco’s entire drilling fleet, making it the largest deployment in Baker Hughes’ history.
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Being able to deploy machine-learning applications at the edge is the key to unlocking a multibillion-dollar market. TinyML is the art and science of producing machine-learning models frugal enough to work at the edge, and it's seeing rapid growth.
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Earlier this year, 19 teams competed in a machine-learning contest held by the Data Analytics Study Group of SPE’s Gulf Coast Section. The was the first competition of its kind for SPE. Here, the organizers of the contest present some of the techniques used and lessons learned from the Machine Learning Challenge 2021.
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“What is the drilling state” has become an important question among data scientists and automation experts. The simplest definition of a complicated concept is that it is what the driller is doing at the time.
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Can a camera on the drill floor, or one on a mobile phone, measure what is going on during drilling or evaluate drill-bit wear more consistently than a human?
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The scale of the recent Colonial Pipeline ransomware attack demonstrates why cyber risk should be assessed as a business risk by organizations’ C-suite, going beyond the narrower view of IT/OT network risk.
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A growing volume of free data and reports from US shale fracturing test sites is available, with more on the way.
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SponsoredWell monitoring hasn’t been easy. But it’s something that has to be done. Remote oil and gas wells are notoriously difficult to monitor. But new technology may make them some of the most advanced sites out there.
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Google takes the wraps off its Quantum AI campus in California and shows off its plans for an "error-corrected" quantum device.
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Airborne drones with magnetometers have worked well in trials and are ready for more widespread use, potentially revealing thousands of previously unknown wells.