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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The failure of the Raptor rig to drill its first-ever well offers a short history of the challenges that came with creating the first automated drilling rig. -
Drilling automation is not “there” yet, but it no longer seems like a pipe dream.
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This paper describes how severe rig limitations were overcome through an optimization plan in which an optimal bottomhole assembly was designed and drilling practices were customized.
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This paper presents a methodology that aims to allows the anticipation of problems such as mechanically stuck pipe or lockup situations when running casing or completion strings in hole.
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The 2021–2022 Drillbotics competition will require the contestants to integrate human factors engineering considerations into their automated drilling rigs for the first time.
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Intellilift and Transocean are working together on a software solution to expedite the well construction process.
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The buzz about the future of automated drilling and it becoming reality depends on improvements in downhole data gathering now. Halliburton is working on it.
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ExxonMobil has drilled a horizontal well with a rig billed by Nabors as the first fully automated land rig. The big question now is whether ExxonMobil will come back for more after this three-well test.
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“What is the drilling state” has become an important question among data scientists and automation experts. The simplest definition of a complicated concept is that it is what the driller is doing at the time.
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Can a camera on the drill floor, or one on a mobile phone, measure what is going on during drilling or evaluate drill-bit wear more consistently than a human?
