Each year, the SPE Artificial Lift Conference and Exhibition (ALCE) brings together E&P innovators from major IOC’s, NOC’s, and independent operators to exchange ideas that advance technical knowledge in artificial lift across multiple applications. Since announcing the extended partnership with Equinor, Ambyint made its appearance in last week’s SPE ALCE, hosted at the Woodlands Waterway Marriott and Convention Center. The theme of this year’s conference, “Pushing the Limits of Artificial Lift,” was well suited for Ambyint as the company seeks to revolutionize the ways of thinking about Artificial Lift optimization. As E&P developments become more complex, Ambyint seeks to use the vast amounts of data that is gathered to advance and enable machine learning and artificial intelligence, in order to optimize well production, increase BOPD, and automate redundant high-cost tasks.
Ryan Benoit, Ambyint CTO, has spent over 15 years in the technology industry. The way he sees it, SCADA has reached its natural scalable limit when faced with the unprecedented opportunities that artificial intelligence and machine learning are now presenting to the oil and gas industry.
Topics: Edge Computing, Deep Learning, Pump by Exception, Technology Adoption, Artificial Lift, Horizontal Wells, Optimization, Machine Learning, Artificial Intelligence, SCADA, Production Operations, Data Science
As a former Marathon Oil production and reservoir engineer who has personally managed nearly 1,000 wells in the company’s core play, Jesse Filipi understands first hand how time-consuming set point optimization can be. During his time at Marathon, the company underwent a massive well expansion. But, despite the steep growth curve, Jesse felt that he and his team were not given the tools to be successful. Considering that the engineering team is effectively the revenue center of any production company, he knew there had to be a better way to effectively manage large scale well operations.
Topics: Pump by Exception, Essential Well Management, Artificial Lift, Production Engineering, Automation, Optimization, Horizontal Wells, Machine Learning, Artificial Intelligence, SCADA, Value Creation, Production Operations, Data Science, Feature Engineering, Disruptive
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.
Topics: Advanced Analytics, Optimization, Horizontal Wells, Automation, Machine Learning, Artificial Intelligence, Production Operations, Production Engineering, Rod Pump, Pareto Principle, Artificial Lift, Value Creation, Predictive Analytics