Drilling automation

A universal, automated approach to condition-based maintenance of drilling rig mud pumps is developed using acoustic emission sensors and deep learning models for early detection of pump failures to help mitigate and reduce costs and nonproductive time generally associated with catastrophic pump failures.
The SPE Drilling and Wells Interoperability Standards group proposes a dual-path strategy to overcome the technical and commercial barriers facing the advancement of drilling automation.
This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.

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