Oil

Machine-learning AI enhances Permian basin drilling

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 ...
Nature

Rate Of Penetration Prediction In Drilling Engineering Using Machine Learning

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 ...
Nasdaq

RigNet’s Intelie Delivers Machine Learning-Based Analytics for Advanced Drilling Operations

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 ...
Oil

Machine-learning models predict produced water properties

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 ...
Mining Weekly

Yamana uses machine learning to identify new drilling targets

Gold mining company Yamana Gold has commissioned technology firm GoldSpot Discoveries to use machine learning to identify new drilling targets at the Cerro Moro gold and silver mine, in Argentina.
Junior Mining Network

Algo Grande Copper Identifies 32 High-Priority Exploration Targets at Adelita and Commences High-Definition Ground Magnetic Survey and Appointment of João Ro…

Highlights Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures ...