Digital Oil Field
This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.
This paper presents a competency-centered, data-driven approach implemented to strengthen control-room emergency-response capability through a cloud-hosted, scenario-based virtual plant simulator.
This paper presents an autonomous, data-driven solution designed specifically for intermittent well optimization.
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Digital twins are powerful combinations of models and data that “age” throughout the lifecycle of an asset as they gather and integrate data from the field. This technology is a quantum leap from earlier efforts at modeling complex systems.
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The international major is calling its latest multiwell project in the Permian Basin a “beacon of innovation.” The goal is to see if combining digital technologies will lower the operating costs of its shale assets.
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A proving ground for the use of digital twins has emerged in the North Sea. There, operators Total, Aker BP, and Shell have each developed and deployed twins that they expect to pay big dividends.
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Multistage horizontal well designs were first implemented in the Bakken in 2007. Since then, more than 12,000 wells have been completed in either the Middle Bakken or Three Forks zones.
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The complete paper describes the development of a smart robotic inspection system for noncontact condition monitoring and fault detection in buried pipelines.
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Harnessing the industrial Internet of things has arguably become the biggest strategic priority for industrial companies in the race to gain competitive advantage through digital transformation.
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The funding from Chevron Technology Ventures and Energy Innovation Capital will help scale Ingu’s data collection platform and analysis for its Pipers technology, a pipeline screening tool launched last year.
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Industry 4.0 is the innovation revolution across all industries. For our industry, Production 4.0 presents a massive opportunity to elevate oilfield performance by harnessing an easy-to-reach and plentiful resource—our data.
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This paper presents lessons learned regarding design, testing, and installation of a completely integrated managed-pressure-drilling (MPD) control system on a deepwater drilling rig.
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This work focuses on the development of specific methodologies to support managed-pressure-dilling (MPD) operations implemented on real-time diagnostic software.