Publications | Indonesian Petroleum Association

Revolutionizing Gas Plant Proactive Maintenance with Advanced Deep Learning Anomaly Detection

Year: 2025 Authors: Wardana, F., K., Saputra, A., B. Reference: IPA25-E-324

Keywords: Anomaly detection, Early warning, Equipment failures, Gas processing plant, LSTM Auto Encoder, Leading Equipment Anomaly Detection System (LEADS), Operational Efficiency, Proactive maintenance, Real-time Data, deep learning,

Basins:

Proceedings Title : Proc. Indon. Petrol. Assoc., 49th Ann. Conv., 2025

Pertamina EP Cepu (PEPC) Jambaran Tiung Biru (JTB) located in Bojonegoro is a vital national gas production in Indonesia with a capacity of 192 MMSCFD...

A Machine Learning Approach for Early Fault Detection and Failure Prediction in Gas Turbines with Case Study: Avon 200 Combustor Crack and SOLAR Taurus 60-T7802 Thrust Balance Damage

Year: 2025 Authors: Fernanda, E., Arief, E., P., Afianto, D., Dadan, S. Reference: IPA25-F-395

Keywords: Anomaly detection, Condition-Based Monitoring, Failure Prediction, Gas Turbines, LSTM Auto Encoder, Machine Learning, Predictive modeling, Reliability, deep learning, preventive maintenance,

Basins:

Proceedings Title : Proc. Indon. Petrol. Assoc., 49th Ann. Conv., 2025

The critical in our oil and gas company as a failure can led to significant production and financial losses are gas turbines. Based on our operational...

Result for 2 item(s)

Revolutionizing Gas Plant Proactive Maintenance with Advanced Deep Learning Anomaly Detection

A Machine Learning Approach for Early Fault Detection and Failure Prediction in Gas Turbines with Case Study: Avon 200 Combustor Crack and SOLAR Taurus 60-T7802 Thrust Balance Damage