Drilling automation
Current classifications often do not capture the complexity of autonomy in drilling systems. By integrating concepts from aerospace, control theory, and other high-risk industries, this study presents a quantitative framework for systematically assessing and comparing levels of drilling autonomy.
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.
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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The contract is helping to solidify Europe’s offshore sector as the focal point for the rise of automated drilling technology. -
Drilling systems automation requires a digital backbone. One segment of that backbone is the interval between the drill bit and the surface. Wired pipe removes both the bandwidth and latency barriers of the available measurement-while-drilling telemetry systems.
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In this paper, the application of a real-time T&D model is demonstrated. The process of T&D analysis was automated, and the time and cost required to run physical models offline was reduced or, in some cases, eliminated.
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This paper presents a case history of drilling automation system pilot deployment, including the use of wired drillpipe, on an Arctic drilling operation.
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This paper describes the progress of directional-drilling-automation systems along the cognitive functions and levels of automation as defined by the Levels of Automation Taxonomy (LOAT) hierarchy introduced by the Drilling Systems Automation Roadmap Industry Initiative.
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Falling oil prices are the acid test of drilling efficiency. SPE Technical Director Jeff Moss of ExxonMobil talks about ways to build in lasting savings as part of this special report.
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The latest example of the offshore sector's march toward automated wellbore construction will take shape later this year in the North Sea.
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A contest where teams of college students design and build an automated drilling rig able to deal with hazardous obstacles in a test block, showed how a small change can be engineered to matter.
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This paper proposes a metric for quantifying drilling efficiency and drilling optimization that is computed by use of a Bayesian network.
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Signs of maturity in drilling systems automation are evident in the success stories filtering out of technical conferences and in the attraction of top university talent to an annual, international, drilling-systems-automation contest.
