AI Use Case

Predict problems and recommend proactive maintenance for mining, drilling and support equipment

Predict failure and recommend proactive maintenance for mining, drilling, power generation, and moving equipment



Cost - Lifecycle maintenance support cost reduction,Cost - Asset uptime optimisation,Operational - Increased machine uptime

Case Studies

Origin~Origin achieved 80% accuracy in identifying low production wells and $50M in savings using machine learning applications from C3 IoT,Newcrest Mining~Newcrest Mining prevents mill downtime at its Lihir mine using machine learning to predict when an overload is about to occur,BHP~BHP saves $5.5M by predicting mining truck maintenance requirements with machine learning,Roy Hill ~Roy Hill iron ore project is developing a transportation vehicle maintenance prediction and prevention recommendation platform ,Gazprom~Gazprom Neft to optimise drilling and well completion with the use of artificial intelligence



Oil And Gas

Data Sets

Time series,Structured / Semi-structured

AI Technologies

Model Architecture - Convolutional Neural Network (CNN),ML Task - Prediction - Annotation,ML Task - Action Selection - Reinforcement Learning ,Model Architecture - Artificial Neural Network (ANN),Model Architecture - Deep Neural Networks,ML Task - Grouping - Anomaly Detection,Product - Data Capture - Sensor IoT,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification,Model Architecture - RNN - Long Short-Term Memory (LSTM)

Potential Vendors

C3 IoT,PETRA,Microsoft Azure,Ajilon