Data-driven Virtual Flow Meter

SPEAKERS

Yongfeng Li Manager Eng Analytics, Oxy

ABOUT THE SESSION

Yongfeng Li, Manager of Engineering Analytics at Oxy, is a leader in advanced analytics and modeling. With a background in mathematics and previous experience at NASA and oil & gas service companies, Yongfeng brings a wealth of expertise to his role. His team focuses on data processing, modeling, control optimization, and UI/UX, collaborating across various business units at Oxy. At the upcoming Data-Driven Oil & Gas conference, he will delve into the topic of Data-driven Virtual Flow Meters. 
 

Yongfeng Li will share his insights on the evolving role of Virtual Flow Meters (VFM) in production flow estimation, comparing them with traditional physical meters. He will explore the advantages of VFMs, which offer real-time data processing without the need for physical infrastructure. Additionally, Yongfeng will discuss the application of machine learning and deep learning techniques in enhancing VFM accuracy, enabling more reliable predictions. Finally, he will touch upon the development of an automated workflow pipeline, which streamlines data processing and model deployment, further improving operational efficiency in the oil and gas industry.
 

Key Topics-

• Introduction physical meters vs virtual flow meter(VFM) for production flow estimation
• Machine learning/deep learning modeling for VFM
• Automated workflow pipeline

For more on this conference or to access the session, reach out to us at info@ptnevents.com. 

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