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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A reservoir-monitoring system has been installed on a medium-heavy-oil onshore field in the context of redevelopment by gravity-assisted steamflood. -
This paper addresses the architecture, implementation, and benefits of complex-event processing (CEP) as a solution for the intelligent field.
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What is taking so long? Well, more than a decade into the intelligent-fields initiative, this is a question that remains prominent.
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This paper describes the design, testing, installation, and performance of the first fully completed well using an intelligent inner completion inside an uncemented liner with openhole packers for zonal isolation.
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This study develops a workflow to design a proactive workover-optimization workflow by use of genetic algorithms (GAs).
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For companies working to maximize production and profits, one of the biggest questions has been, and continues to be, how manyu wells to drill per square mile.
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Some of the world’s largest exploration and production companies say the big bets they have placed on high-performance computing over the past several years are set to pay off.
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Robotic submarines, capable of operating by themselves thousands of feet underwater for months or perhaps years at a time, are under development as the vanguard of tomorrow’s subsea oil and gas fields.
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Unmanned aircraft are finding their place in the oil and gas industry by providing aerial geologic modeling to address reservoir-related challenges and making inspections safer.
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The smart-field concept is deployed through disseminating elements of tools and infrastructure integrated to bring a level of smartness that can improve the performance of an oilfield asset in a sustainable way. How this is accomplished can vary widely depending on the field.
