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Revolutionizing Failure Detection with Machine Learning

Year: 2025 Authors: Komala, D., R., Lazuardi, H., Tanjungsari, F. Reference: IPA25-E-394
Keywords: Downtime reduction, Electric Submersible Pumps (ESP), Failure Prediction, Historical Data, Machine Learning, Predictive Analytics, Random Forest, Reliability, Sensor Data, oil production,
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Proceedings Title : Proc. Indon. Petrol. Assoc., 49th Ann. Conv., 2025

A failed Electrical Submersible Pump (ESP) well is typically identified when there is suboptimal flow or no flow reaching the surface. The process of...

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Journey to Zero: Ensuring Safety Through the Motor Vehicle Incident Combat Program and Implementation of Artificial Intelligence - Mobile Digital Video Recorder (AI-MDVR)

Year: 2025 Authors: Wicaksono, D., A., S., Hidayat, D., Syafri, A., F. Reference: IPA25-O-158
Keywords: Advanced Driver Assistance Systems, Artificial Intelligence (AI), Driver Behavior, Driver Monitoring Systems, Fleet Safety, Incident Reduction, Mobile Digital Video Recorder, Motor Vehicle Incidents, Predictive Analytics, Road Safety,
Basins:

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

The Corridor Block, covering six operational fields, employs nearly 700 personnel, including both employees and contractors, who rely on a fleet of ap...

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Employing IOT Technology to Improve Workplace Safety in The Oil and Gas Sector

Year: 2025 Authors: Ramadhan, R., A., Rif’at, B., I., Darayani, N., S. Reference: IPA25-SE-372
Keywords: Accident Prevention, Deployment, Equipment Monitoring, Hazardous Gases, Internet of Things (IoT), Predictive Analytics, Sensors, Workplace Safety, oil and gas, real-time monitoring,
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Proceedings Title : Proc. Indon. Petrol. Assoc., 49th Ann. Conv., 2025

The adoption of Internet of Things (IoT) technology within the oil and gas sector has markedly improved workplace safety through the provision of real...

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