Ambyint Insights

Ryan Benoit, Jesse Filipi, & Brian Arnst

RYAN BENOIT CHIEF TECHNOLOGY OFFICER - AMBYINT Ryan has worked in technology for over 15 years and has served in various technical roles where he advanced, mentored, and lead consulting, solution, and product development initiatives across a number of technology companies including Matrikon (acquired by Honeywell), Thoughtworks, NavNet, and Clarocity (formerly Zaio). He holds a BSc in Electrical Engineering with a specialization in Biomedical Engineering from the University of Alberta. JESSE FILIPI DIRECTOR OF TECHNICAL SALES - AMBYINT Jesse is formerly a petroleum engineer with Marathon Oil in production and reservoir engineering roles. He was the first field-based production engineer in the Eagle Ford and later managed nearly 1,000 wells in the company’s core play. He brings a track record of combining process improvement and finance experience with engineering fundamentals to add significant value in the field. He holds an MBA and MS in Materials Science from Rice University and a BS from McGill University. BRIAN ARNST CUSTOMER SUCCESS MANAGER - AMBYINT Brian is formerly a Production Engineer with Marathon Oil, where he developed a rod pump optimization methodology and workflow aimed at maximizing oil production and increasing run lives. He has over five years of conventional and unconventional experience across multiple basins. Since moving to Ambyint, he has focused on developing engagement strategies with customers by providing operational and product expertise, customer service, and training, as well as leading internal product, software, and feature creation processes. He has a Bachelor's degree in Petroleum Engineering from Texas A&M University.

Recent Posts

Automating the Routine with Advanced Analytics & Optimization (AAO) for Horizontal Wells

Posted by Ryan Benoit, Jesse Filipi, & Brian Arnst on Apr 6, 2018 9:00:00 AM



Artificial lift optimization is one of the core activities Production Engineers and Techs are asked to perform on a daily basis. Rod lift is the most widely used artificial lift type, deployed on horizontal and vertical wells alike. Due to the widespread use of rod pumps, consistent best practices have been established over time. When those operational best practices are adhered to, meaningful increases in field profitability of even the lowest producing wells have followed.

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Topics: Production Operations, Value Creation, Predictive Analytics, Artificial Intelligence, Machine Learning, Advanced Analytics, Optimization, Horizontal Wells, Pareto Principle, Automation, Production Engineering, Rod Pump, Artificial Lift