Each year, the SPE Artificial Lift Conference and Exhibition (ALCE) brings together E&P innovators from major IOC’s, NOC’s, and independent operators to exchange ideas that advance technical knowledge in artificial lift across multiple applications. Since announcing the extended partnership with Equinor, Ambyint made its appearance in last week’s SPE ALCE, hosted at the Woodlands Waterway Marriott and Convention Center. The theme of this year’s conference, “Pushing the Limits of Artificial Lift,” was well suited for Ambyint as the company seeks to revolutionize the ways of thinking about Artificial Lift optimization. As E&P developments become more complex, Ambyint seeks to use the vast amounts of data that is gathered to advance and enable machine learning and artificial intelligence, in order to optimize well production, increase BOPD, and automate redundant high-cost tasks.
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.
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.
Topics: Essential Well Management, Stripper wells, Legacy wells, Brownfield, O&G, Oil and Gas, Rod Pump, SCADA, Machine Learning, Artificial Intelligence, Data Science, Hierarchy of Needs, Pump by Exception, Vertical wells
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.