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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The criticality of above-water riser hull piping requires frequent inspections. Traditional manual inspection methods present safety and efficiency concerns, but work is being done to see if robotic technologies—such as drones and crawlers—can do the job as good as, or even better than, humans. -
As drones become a more significant part of energy projects, the guide outlines the steps operators should take in assessing their capabilities to run a drone program and the elements such programs should consider, including safety and regulatory concerns.
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As the global oil and gas industry grasps the benefits that digitalization, automation, machine learning, and artificial intelligence can bring to production and profitability, its relatively immature cyber systems are making it an attractive soft target for hackers.
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Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.
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This paper presents a unique work flow that addresses in real time the challenges of perforation and fracture-treatment design while accounting for the lithologic and stress variability along the wellbore and its surroundings.
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A thermal asset in Oman is characterized by a large-scale steam-drive/cyclic-steam-soak development project, underpinned by extensive data gathering.
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Norway’s oil and gas major, Equinor, made headlines in October 2018 following its launch of the world’s first fully automated wellhead platform, the Oseberg H. Here, Claudia Jarrett, US country manager of parts supplier EU Automation, explains the challenges of unmanned automation in oil and gas.
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The American Petroleum Institute announced the publication of its Guide for Developing an Unmanned Aircraft Systems Program, which will help ensure worker and operational safety as the industry introduces drones in its operations.
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The algorithms for running AI applications have been so big that they’ve required powerful machines in the cloud and data centers, making many applications less useful on smartphones and other edge devices. Now, that concern is quickly melting away, thanks to a series of recent breakthroughs.
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This paper describes a path to general artificial intelligence (AI) (i.e., AI that is as smart or smarter than humans) based on the trend in machine learning that hand-designed solutions eventually are replaced by more-effective, learned solutions.
