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ESP Smart Alarms for Real Time Diagnostics

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Course Credit: 0.15 CEU, 1.5 PDH

Continuous monitoring of electrical submersible pumps (ESPs) ensures optimal working operating conditions and avoids deferred oil production. With the increased population of ESPs deployed worldwide, a comprehensive alarm triggering system is at the center of modern oilfield production surveillance systems. In this paper, a data-driven ESP smart alarm suite, integrated with a virtual flowmeter (VFM) deployed on the Edge, is presented with testing results and field applications for effectiveness demonstration. The overall Smart Alarm Suite consists of eight different alarms, each targeting a specific potential suboptimal pump working condition. For three alarms, a data-driven approach is adopted with the application of multiple classical machine learning models such as logistics regression, K-Means clustering, continuous linear regression, etc. The workflow also uses hybrid pipelines when manual labeling is not sufficient for model training. For the other five alarms, the workflow uses an Edge-enabled physics-based flowrate calculation to flag the status of different alarm categories. The presented workflow innovatively combines machine-learning algorithms with rule-based criteria and a robust VFM to raise awareness of the ESP performance conditions. The injection of domain expertise and physical modeling into AI-based workflows improves the robustness of the algorithm and reduces false alarms with limited data exposure. The completeness of the alarms promotes more comprehensive monitoring of the assets and reduces the risk of lost production due to ESP failure or downtime. All content contained within this webinar is copyrighted by Miguel Hernandez and its use and/or reproduction outside the portal requires express permission from Miguel Hernandez.

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Course Chapters

  • 1ESP Smart Alarms for Real Time Diagnostics - Chapter 1
    Media Type: Video


Earn credits by completing this course0.15 CEU credit1.5 PDH credits


Miguel Angel Hernandez De La Bastida
Simon Suarez - ModeratorLufkinSimon holds a Bachelor of Science Degree in Mechanical Engineering from the Universidad del Zulia in Maracaibo, Venezuela. He was also a Fulbright Scholarship recipient from 2009-2011 and attained a Master of Science in Mechanical Engineering degree from the University of Houston. He brings over 15 years of expertise and knowledge from a variety of roles within the Energy industry environment. His vast international and multiple business and leadership experiences makes him a strong addition to any team.

Simon began his career in 2007 working as a Sales & Applications Engineer with Weatherford. Since then, he held multiple technical and leadership roles in Artificial Lift Systems (ALS) operations, sales, and product line management in Houston, Midland, Venezuela, Mexico and throughout Latin America. In 2019, he became Weatherford's Global Business Director for Production and in 2021 he joined Silverwell as their Western Hemisphere Sales Manager.