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

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)

Potential Vendors

C3 IoT,PETRA,Microsoft Azure,Ajilon