Ambyint Insights

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