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
Function
Benefits
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
Potential Vendors
C3 IoT,PETRA,Microsoft Azure,Ajilon
Industry
Energy
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)