Drilling automation
The agreement focuses on improving operational efficiency and consistency through advanced digital tools and real-time data integration.
An innovative approach uses a random-forest-based framework to link logging-while-drilling and multifrequencey seismic data to enable dynamic updates to lithology parameter predictions, enhancing efficiency and robustness of geosteering applications.
This comprehensive review of stuck pipe prediction methods focuses on data frequency, approach to variable selection, types of predictive models, interpretability, and performance assessment with the aim of providing improved guidelines for prediction that can be extended to other drilling abnormalities, such as lost circulation and drilling dysfunctions.
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Rockwell Automation’s Luis Gamboa explains his company’s new solution designed to allow operators to collect, sort, and reconcile the quality and quantity of data from multiple sources to optimize field data. -
A new process system compatible with all types of drilling rigs is opening the door to wider adoption of drilling automation in North America’s shale sector.
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Along its journey to full-automation, the US drilling sector is facing a series of important crossroads that will determine what the so-called “rig of the future” really will be.
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The unique properties of deepwater formations pose significant challenges to the capabilities of conventional drilling rigs. Using automated drilling equipment, including MPD, efficiency and cost savings can accompany safety.
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Drilling automation is one of the most promising emerging technologies that the oil and gas industry has to look forward to. The potential benefits span the spectrum from health and safety to lower costs and repeatable well results.
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With limited resources and lots of dedication, West Virginia University students wowed judges of the ATCE Drillbotics drilling automation challenge with the automated drilling device they built.
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As systems automation becomes more widespread in drilling, simulators are required to plan, train rig crews, and monitor real-time operations.
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This paper shows how automation reduces invisible lost time and allows drillers to focus on other activities while repetitive tasks are controlled by software.
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To accelerate learning, an operator deployed a real-time, closed-loop downhole automation system (DHAS) in conjunction with wired drillpipe in the 8¾-in.-hole section.
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This paper presents the LCDSS and elaborates on the use of it in the preparation and training phase and the operational phase, including forecasting.
