Drilling automation
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.
New case studies highlight how artificial intelligence, advanced hardware, and innovative business models are enabling success in drilling automation.
This paper tests several commercial large language models for information-retrieval tasks for drilling data using zero-shot, in-context learning.
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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. -
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.
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The service companies plan to co-market an emerging well control system that can integrate with established managed-pressure-drilling components to enhance well construction safety and efficiency.
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Brazil’s national oil company details the results of 6 years of real-time drilling monitoring. The next step is to move toward optimization, then automation.
