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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Here are some thoughts on recent discussions around natural-language-processing transformer models being too big to put into production and a dive into how they have been shipped at Monzo using the HuggingFace library.
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The $43-million deal with Saipem will utilize a wireless underwater intervention drone and an ROV for intervention work on the Njord field in the Norwegian North Sea. Equinor said the contract is the first ever from an operator for advanced wireless drone services.
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The types of advancements made in real-time drilling data acquisition and processing are now on the doorstep of the North American completions sector. Technology developers are banding together under the umbrella of “coopetition” in a bid to change the way producers fracture tight reservoirs.
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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.
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This work describes a heuristic approach combining mathematical modeling and associated data-driven work flows for estimating reservoir-pressure surfaces through space and time using measured data.
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Seismic imaging provides vital tools for the exploration of potential hydrocarbon reserves and subsequent production-planning activities. The acquisition of high-resolution, regularly sampled seismic data may be hindered by physical or financial constraints.
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Subsea advancements in the works include longer tiebacks, an underwater drone that lives on the seafloor, and a robotic manifold capable of actuating dozens of valves. Do these new capabilities, born of necessity, signal a sea change in industrywide technology development?
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The service company and independent verifier are aiming to develop a methodology for qualifying the integrity of digital twins, which they say will help level the industry’s varying technical definitions of, and expectations towards, the technology.
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With recent advances in AI being enabled through access to so much big data and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?