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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Initial development of inflow tracers was designed to provide qualitative information about the location of water breakthrough in production wells. The proof of concept and application for water detection initiated the development of oil tracers for oil-inflow monitoring. -
The technology will provide Equinor a continual feed of updated reservoir information from its Johan Castberg and Johan Sverdrup fields with the aim of improving well placement, production, injection, and—ultimately—recovery.
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DNV GL has published a paper to support the safe use of artificial intelligence. The paper asserts that data-driven models alone may not be sufficient to ensure safety and calls for a combination of data and causal models to mitigate risk.
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Machine learning and artificial intelligence technology offer offshore operators the chance to automate high-cost, error-prone tasks to avoid the effects of inconsistency and errors in analysis, improving efficiencies and safety.
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Video games have been seen as a big waste of time for years by parents around the globe. But now, the oil and gas industry sees the underlying technology as a big time saver.
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A new event is kicking off in September that will bring together the brightest minds in digital tech and oil and gas.
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The pressure pumping giant turns to algorithms to get better fractures and fewer problems.
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With hacking attacks mounting against US energy companies, guarding the sector will be a top priority for a new cybersecurity effort, Homeland Security Secretary Kirstjen Nielsen has said.
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Cyberattacks on US energy systems have become unavoidable, and enough have been successful that the sector and its regulators are increasingly focused on mitigation, response, and recovery.
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Well-interference issues can be hard to diagnose, but this startup may be figuring that out. The data-driven process it developed can also help operators come up with more effective ways to use diverters.
