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
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: 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
For as long as there has been a future, people have been envisioning what it could look like. From flying cars that zip around sky cities to handheld devices that teleport you away just as fast as you can say “beam me up, Scottie!”, we have always had lofty goals in mind. But, now we live in a world that looks remarkably like something out of a sci-fi film, and nothing exemplifies just how far we’ve come quite like the ‘Lights-Out’ Factory. It’s pretty much exactly what it sounds like: a factory that employs robots rather than humans, humming along in perfect synchronization, to the extent that one could simply turn the lights off without affecting the march of progress in the slightest. To break it down a little further, here is a helpful summary from PWC of what a lights-out factory is (and isn’t):
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: Production Operations, Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, Optimization, Automation, Rod Pump, Industrial IoT, 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: Production Operations, Value Creation, Predictive Analytics, Artificial Intelligence, Machine Learning, Advanced Analytics, Optimization, Horizontal Wells, Pareto Principle, Automation, Production Engineering, Rod Pump, Artificial Lift