Based on “From Science to Practice: Improving ROP by Utilizing a Cloud-Based Machine-Learning Solution in Real-Time Drilling Operations,” SPE/IADC-204043-MS, SPE/IADC International Drilling Conference ...
The prediction of the rate of penetration (ROP) in drilling engineering is a linchpin for optimising operational efficiency and reducing costs. Recent advances in machine learning have prompted the ...
HOUSTON, Aug. 20, 2019 (GLOBE NEWSWIRE) -- RigNet (NASDAQ: RNET), the leading provider of ultra-secure, intelligent networking solutions, announced today that Ocyan, one of Brazil’s largest providers ...
Produced water composition reveals subsurface structures and provides a basis for scaling tendency prediction. Saudi Aramco developed a machine learning (ML) workflow that classifies produced water to ...
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
At-a-Glance: Machine learning optimizes directional drilling by predicting rock/BHA response and issuing steering and parameter setpoints that maximize ROP while constraining dogleg, tortuosity, and ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
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