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
"Digital service companies such as Ambyint are working toward autonomous well operations, promoting its technology as the oil and gas industry’s answer to the 'self-driving car.' Ambyint CEO Alex Robart, who spoke at Hart Energy’s DUG Permian conference in May, is using Edge, Internet of Things and AI/machine learning to transition to the 'autonomous oil field.'"
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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):
In 1997, Clayton Christensen coined the term “Disruptive Innovation” in his thoughtful book, The Innovator’s Dilemma. Since then, the term has been shortened to simply ‘disruption’ and it has taken on a life of its own across the technology and media complex.