Drilling
Winners of Alberta's Drilling Technology Challenge cover a range of technologies from robotics to enhance drilling rig safety to AI-enabled energy management, downhole sensing, well navigation, hybrid power systems, and geothermal energy.
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The company said that its AD-300, a 50-m-high automated island drilling rig that walks between wells, was delivered 3 months ahead of schedule.
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This paper presents a case study of a tool-free fishbone fracture stimulation technology using sand jetting and acidizing in openhole wells, providing a technical solution for low-permeability and complex-lithology carbonate reservoirs in the Middle East. -
This paper presents a case study of oriented tubing-conveyed perforation followed by an acidizing operation to overcome technical challenges posed by a depleted reservoir targeted for a carbon capture, utilization, and storage project.
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This paper details a trial involving the deployment of a transportable coiled tubing (CT) unit capable of holding 30,000 ft of high-strength 2⅞-in. CT.
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This paper presents a novel approach to overcoming extended-reach limitations in coiled tubing interventions by using a split-string system, demonstrating measurable improvements in reach and operational speed in laterals exceeding 3 miles.
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This paper describes the successful deployment of flexible coiled tubing technology in an oil-producing well of the offshore Frade field in Brazil’s Campos Basin.
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This case study from Erdos Miller outlines the use of magnetic short-hop technologies to complement the use of mud pulsers to transmit telemetry to surface.
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As unconventional hydraulic fracturing matures, completions practices shift from art to engineering best practices.
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This case study from SLB and offshore producer PRIO describes the longest openhole section in Latin America with the highest extended-reach drilling ratio in Brazil’s history.
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The collaboration aims to provide a dedicated land rig for geothermal wells in the US.
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This study explores the use of autoencoder models with convolutional neural networks to present a framework and prototype for early and accurate kick detection during offshore oilwell drilling.
