Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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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. -
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 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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A study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end.
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In 2015, the United Nations ratified the 2030 Sustainable Development Goals. Technology will be critical in the pursuit of these ambitious targets, but the pace and scale of change creates risks that humanity must take very seriously.
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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.
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Inspection data management system software can help companies bolster their mechanical integrity programs, but choosing the wrong software can have a lasting impact on a company’s operations. So, what goes into finding the right software for your needs?
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Most businesses understand that data is essential to improving operational performance and that data technologies provide opportunities for more-accurate risk assessment and control of safety-critical systems. Nonetheless, statistics show that the threat of cybercrime is growing.
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For too long, owner/operators have managed operational profitability using paper-based processes or monthly reporting cycles. In the new technological climate, this approach has been proven to be less effective. Enter the industrial Internet of things.
