Team CAT Saving Investigators 

 

Project Title: Automated Anomaly Detection for Oil and Gas Compressors

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Description: We use data science to detect compressor anomalies in order to predict machine failure and improve maintenance schedules.  

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Team Members: 

• Ryan Quach ('21 COMP/STAT) 

• Ken Zeng ('21 STAT/MATH) 

• Thera Fu ('21 COMP/CSCI) 

• Ali Goodson ('21 CAAM) 

• Leo Liu ('21 COMP/PHYS) 

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Sponsor: CSI Compressco and TetraTec 

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Sponsor Mentors:​

• Claudio Castillo - Operation Support Manager (Engineering) 

• David Locke - Telemetry Manager (IT) 

• Abhay Maddalwar - IT Project Manager (IT) 

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Faculty Mentor:

Dr. Arko Barman, Assistant Teaching Professor, D2K Lab