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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This paper proposes a metric for quantifying drilling efficiency and drilling optimization that is computed by use of a Bayesian network. -
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.
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Today’s advancements in unconventional technology are worth marveling over, but there is still plenty of room for growth.
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Drilling customers would like to be able to buy the hardware they need from the vendor of their choice and plug it into an automated system, but the companies creating the control systems say they can not afford to do that.
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This paper discusses the technical challenges related to implementing a rigsite, real-time drilling advisory system and current solutions to these challenges.
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An operator partnered with the drilling-automation research group at The University of Texas at Austin to develop a work flow for big-data analysis and visualization. The objectives were to maximize the value derived from data, establish an analysis toolkit, and train students on data analytics.
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Money is the root all of startups, but getting it and making more of it depends on dealing with demanding people.
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This paper describes a collaborative effort between an operator, a drilling contractor, and a service company to introduce specific aspects of automated technology to a major drilling operation.
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This paper presents a method that quantitatively evaluates the risk levels of a drilling-operation plan as a function of the underlying uncertainty associated with its description.
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A work flow that combines optimization of the drillstring and bottomhole-assembly (BHA) design during well planning and then applies advanced surveillance tools to a well-trained drilling crew yields reduced vibrations and higher drilling rates.
