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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Neuromorphic computing could completely transform everything about the technology industry from programming languages to hardware. -
2020 is finally ending. While not likely to register as anyone’s favorite year, 2020 did have some noteworthy advancements, and 2021 promises some important key trends to look forward to. A collection of experts presents thoughts on the past year and predictions for the year to come.
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Geoscience data companies CGG, PGS, and TGS announced a strategic partnership to offer a shared ecosystem providing direct access to their subsurface multiclient data libraries.
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Silviu Livescu, SPE’s technical director for data science and engineering analytics, and Birol Dindoruk, recent technical director for management and information, discuss the state of the oil and gas industry’s digital transformation, where the industry needs to go, and how it can get there.
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Fugro has opened a new remote operations center in Abu Dhabi that is already handling remote and autonomous projects in the Middle East and India.
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Emerson has launched cloud-native software designed to find opportunities for field development through data mining and automation. The software, called SpeedWise Reservoir Opportunity, was developed in collaboration with Quantum Reservoir Impact.
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Price and demand pressures in the oil and gas sector make the potential value embedded in advanced connectivity for exploration and production more important than ever.
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A presentation at the 2020 Offshore Technology Conference Asia described a study of unmanned aerial vehicles operated by off-site pilots based in remote control centers many miles from the facility.
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The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance.
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ODDS—organization, due diligence, data, and scrub. These four important steps can make sure you are ready to implement artificial intelligence in a way that leads to a successful project.
