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
The primary objective of Production Operations is to operate every well in the field at peak economic efficiency levels at all times. That is to say, the goal is to sustain maximum fluid production with minimum cost inputs across the field, keeping lease operating expenses (LOE) down while keeping profits up. The highest value lever by which this is achieved is through artificial lift optimization.
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
Last week, Ambyint took the stage at the 2018 Global Petroleum Show (GPS). The annual conference and exhibition is one of Calgary's most highly anticipated events for oil and gas professionals across North America. This year's turnout did not disappoint, with over 1,000 exhibiting companies and ~50,000 attendees. In addition to maintaining a booth presence over the course of the three-day event, Ambyint hosted three speaking slots and an auxiliary breakfast seminar, successfully keeping Ambyint at top-of-mind throughout the week.
Topics: Industrial IoT, Rod Pump, Automation, Optimization, Advanced Analytics, Machine Learning, Artificial Intelligence, Data Science, Production Operations, Conference, Presentation, Global Petroleum Show
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
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).