Presentation: Optimizing Predictive Maintenance at Barrick Gold by Integrating Asset Data and Process Data

2018 - OSIsoft PI World - Barcelona - Process Industries

Optimizing Predictive Maintenance at Barrick Gold by Integrating Asset Data and Process Data

Historically, process data and asset data have remained in separate worlds. Technological advancements in wireless connectivity, sensors, cloud computing and AI are paving the way for integration of process control data and asset condition data. For industries, this translates to operational performance excellence. Barrick Gold Corporation has recently embarked on its digital transformation journey and in partnership with OSIsoft and Petasense, they recently integrated Petasense asset condition monitoring system with the OSIsoft PI system, at their Cortez plant in Elko, NV, USA. The primary goal is to optimize predictive maintenance outcomes. The integration of the two systems has equipped Reliability Engineers with a single interface to view process parameters alongside vibration data. It enables better planning, improved insights, powerful analytics and the ability to create predictive models. Initial results are promising - improved asset reliability, and reduced maintenance costs.


Company

Barrick Gold

Speaker

Tara Rana

Tara Rana is an Advanced Process Control Engineer, currently employed with Barrick Gold in Toronto, ON, Canada. He works with the PI system very closely and manages digital transformation projects applicable to processing plants. He enjoys implementing smart sensors in the plant that will enable end-users to achieve operational performance excellence through powerful analytics.


Company

Petasense

Speaker

Abhinav Khushraj

Abhinav Khushraj loves technology and his passion is to build new things. He is excited about disrupting traditional industries using modern technologies such as wireless and cloud computing. Currently, he is working on an Internet of Things startup that is going to disrupt the industrial world. The goal is to change the way industries monitor their machines and run their processes.


Session Code

UC18EU-D2PI02