Ambyint Insights

Webinar Recap: Field Automation for Data Collection and Control in O&G Beyond SCADA

Posted by Ambyint on Jul 31, 2018 5:01:19 PM

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.

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Topics: Production Operations, SCADA, Data Science, Artificial Intelligence, Machine Learning, Optimization, Horizontal Wells, Artificial Lift, Technology Adoption, Pump by Exception, Deep Learning, Edge Computing

Ambyint announces expanded commitment with Equinor to optimize production operations in North Dakota

Posted by Ambyint on Jul 25, 2018 7:24:59 AM

Ambyint, the emerging player in AI-powered artificial lift and production optimization, and international energy major Equinor today announced that it will deploy Amybint’s technology on all rod pump wells in Equinor’s Bakken asset in North Dakota. The partnership comes at the end of a successful pilot and will expand to full field implementation in this asset.

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Topics: Data Science, Artificial Intelligence, Automation, Oil and Gas, Industrial IoT

Autonomous Set Point Management: Dial In Your Wells To Reduce LOE

Posted by Ambyint on Jul 16, 2018 4:55:39 PM

 

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.

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Topics: Production Operations, Value Creation, Feature Engineering, Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, Optimization, Set Point Management

Webinar Recap: Using IoT-Enabled Machine Learning to Autonomously Optimize Rod Pump Set Points

Posted by Ambyint on Jul 2, 2018 9:45:00 AM

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.

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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

Ambyint Talks IoT, Machine Learning, and The Digital Revolution at GPS 2018

Posted by Ambyint on Jun 18, 2018 4:09:37 PM

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.

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Topics: Production Operations, Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, Optimization, Automation, Rod Pump, Industrial IoT, Conference, Presentation, Global Petroleum Show

Automating the Routine with Essential Well Management (EWM) for Stripper Wells

Posted by Ryan Benoit, Jesse Filipi, & Brian Arnst on Apr 27, 2018 1:49:12 PM

Situation

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.

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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

Two Paths to Incorporating Value-Adding Data Science into Production Operations:  The Hard Way or the Easy Way

Posted by Ryan Benoit, Jesse Filipi on Apr 5, 2018 2:17:43 PM

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).

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Topics: Production Operations, SCADA, Value Creation, Feature Engineering, Data Science, Predictive Analytics, Artificial Intelligence, Machine Learning