Drilling automation
In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.
This paper describes a machine-learning approach to accurately flag abnormal pressure losses and identify their root causes.
This research aims to develop a fluid-advisory system that provides recommendations for optimal amounts of chemical additives needed to maintain desired fluid properties in various drilling-fluid systems.
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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.
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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.
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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.