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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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.
