Ambyint Insights

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: Optimization, Production Operations, Data Science, Artificial Intelligence, Machine Learning, Value Creation, Feature Engineering, Advanced Analytics, 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‚Äôs 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: 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

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, Data Science, SCADA, Artificial Intelligence, Machine Learning, Value Creation, Feature Engineering, Predictive Analytics