Drilling

Rystad Energy expects the continent to account for the largest share of frontier and basin-opening wells in 2026 as operators pursue scale and untapped resources.
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
When it comes to drilling automation, deciding where your technology should be deployed is a critical factor in overall solution design. Similar to other industries, there is an eternal debate on the merits of cloud vs. edge systems.

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