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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SPYDR, MetaRock team up with Pioneer Natural Resources for a pilot program in the Permian Basin to test real-time fluid monitoring. -
The two companies have agreed to team up so their most-valued drilling-automation programs can be used together easily. The relationship has shined a bright light on drilling automation.
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As the saying goes, the future is now. This is certainly the case offshore Norway, which represents one of the industry’s most influential test beds for impactful innovation.
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Technology is advancing, and applications are growing, but scaling faces technological and human challenges.
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When humankind returns to the Moon to establish colonies it will be bringing with it technologies born in the oil and mining industries. The European Space Agency and Russia’s Roscosmos will be central to that effort as they prepare to land a robotic drilling system to extract oxygen and water from frozen lunar soil.
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The authors describe challenges that must be overcome to reach the goal of drilling systems automation.
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This paper details the introduction of a drilling automation system to deliver superior well-construction performance in a major gas field.
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MPD was used to successfully drill through a pore pressure ramp and address a well-control event in conjunction with conventional methods.
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Drilling automation and innovation continue as dominant trends despite market downturns and unprecedented challenges in the past year. In many ways, the drive toward new efficiencies and step changes in well-construction performance has taken on an even greater sense of urgency.
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The complete paper presents a solution that integrates a physics-based torque-and-drag (T&D) stiff/soft string model with a real-time drilling analytics system using a custom-built extract, transform, and load translator and digital-transformation applications to automate the T&D modeling work flow.
