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: Production Operations, SCADA, Data Science, Artificial Intelligence, Machine Learning, Optimization, Horizontal Wells, Artificial Lift, Technology Adoption, Pump by Exception, Deep Learning, Edge Computing
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: Production Operations, SCADA, Value Creation, Feature Engineering, Data Science, Artificial Intelligence, Machine Learning, Optimization, Horizontal Wells, Automation, Production Engineering, Artificial Lift, Disruptive, Pump by Exception, Essential Well Management
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.
Despite their differences in the horizontal development and vertical legacy well context, industry best practices to optimize rod lift around efficiency, and thus profitability, have a consistent logic and methodology. First, wells are diagnosed as underpumping, dialed in, or overpumping. Second, based on the categorical classification, a consistent remediation workflow is applied based on the available levers to pull that either increase production or lower the number of damaging strokes into the system.
Topics: SCADA, Data Science, Artificial Intelligence, Machine Learning, Rod Pump, Oil and Gas, O&G, Pump by Exception, Essential Well Management, Brownfield, Hierarchy of Needs, Vertical wells, Stripper wells, Legacy wells
With data science and analytics permeating industrial, financial, and consumer technology sectors, oil and gas producers have begun to invest in and explore the potential for these tools to add value in upstream activities. To date, most E&Ps have experienced mixed success, with value coming mainly in the drilling & completions business units (1-4).