Data & Analytics
Canada’s development of large-scale digital drilling core libraries and open geoscience data platforms follows approaches pioneered in Australia, particularly Western Australia, through decades of government investment in geoscience data collection and preservation.
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.
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Deep learning is good at finding patterns in reams of data but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that. -
Unmanned aerial vehicles are creeping up on ubiquity in the oil and gas industry, but their potential still firmly outweighs the actuality. A panel at the 2019 SPE Annual Technical Conference and Exhibition took a close look at the benefits of drones and at the tethers still holding back their use.
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Digital transformation supported by data analytics and artificial intelligence can be the differentiator that allows the upstream industry to persist in the next 100 years, providing a unique foundation for innovation to enhance general public awareness and life quality.
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Blockchain technology is changing the nature of money and organizations. We should probably start pondering the potential consequences.
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The controller from Olis will be distributed and supported by iCsys and is expected to increase efficiency and decease costs.
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The application of the industrial Internet of things within oil and gas promises to revolutionize the oil field by enabling the acquisition and accessibility of far greater amounts of data, especially for tasks that previously have been managed through historically analog documentation and storage.
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YPF’s data analytics experts are eagerly seeking partnerships with oilfield operations experts who can help blend elegant data analysis with the messy reality of oil production.
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One of the foremost threats companies face today is that posed by cybercriminals, and the unique vulnerabilities of companies in the oil and gas sector create heightened cybersecurity risks for those pursuing transactions in the sector.
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The two companies have entered into a partnership to develop the oil and gas industry’s first methodology for qualifying the integrity of digital twin technology.
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What is the effect of the reservoir type on the application of AI and ML in reservoir and production modeling?
