Drilling automation
This edition highlights three offshore technology papers that address a common industry theme: how targeted engineering solutions can reduce uncertainty, shorten operations, and make technically constrained offshore well activities more executable.
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With operators under pressure to deliver more energy with fewer resources, predictable drilling performance is more important than ever. Discover how a unified digital workflow can turn drilling data into better decisions and consistent execution—providing the foundation for autonomous drilling and more predictable, profitable, and productive wells at scale.
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.
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For the past several years, automated drilling has promised to deliver major improvements in drilling performance. But the technology is facing new obstacles that might affect its progress and commercialization.
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One of the defining features of the 21st century will undoubtedly be the changing relationship between humans and automated machines.
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This paper describes a number of system enhancements, including the ability to display and analyze not only the critical parameters of drilling hydraulics but also other information that allows different perspectives in considering the closed-loop system.
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Our industry is involved in the development of several automated tools and processes to improve the quality of drilling operations.
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The paper demonstrates the successful application of advanced automated managed-pressure-drilling (MPD) technologies on the Dover well close to Fort McMurray, Alberta, Canada.
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The vision of fully automated drilling rigs driven by big data gathered in real time looks so far off but there are people working on a road map to help the oil and gas industry find its way there some day.
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Recently, while preparing to present a seminar on deepwater-well-construction optimization, I tried hard to find a word or a phrase that could be seen as “the secret” for a safe and optimized drilling performance.
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Data-mining processes are fundamental in obtaining the predictive benefits of real-time systems and have been progressing from descriptive to predictive optimization methods.
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During the optimization process, the Castilla field became the model of management strategies for the rest of the fields in the company portfolio.
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Drilling, completion, production, and general surveillance are all areas that benefit greatly from remote real-time analysis. However, several challenges to remote services exist, including communications issues, fear of job loss, and working outside one’s comfort zone. What is considered an important development goal for a business might be regarded as a threat to an…