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A Robust Data-Driven Method Using Multiphase Flow Meter Measurements for a Fully Autonomous Gas-Lift Optimization

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Course Credit: 0.15 CEU, 1.5 PDH

Traditional simulation-based approaches for Gas-Lift Optimization depend heavily on the quality of reservoir and fluid data. Excessive OPEX and man-hours are required to maintain data values and to ensure the models are calibrated. Even then, pseudo-steady-state models do not consider losses due to multi-pointing condition and slugging behavior; and for dynamic multiphase flow simulation, the added complexity and man-hours required to assert accurate results cannot be sustained on a full field scale deployment. Gas-Lift Optimization essentially relies primarily on the relationship between the Well Production Rate and the Gas-Lift Injection Rate. This presentation will show you how this robust Data Driven approach remove well models, correlations and personnel from the optimization process and improve drastically the wells’ performance in a fully autonomous manner.

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Course Chapters

  • 1A Robust Data-Driven Method Using Multiphase Flow Meter Measurements for a Fully Autonomous Gas-Lift Optimization - Chapter 1
    Media Type: Video


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


Greg StephensonGreg Stephenson is the Chief Production Engineer at Occidental Petroleum and is based in Houston, Texas. In this role, he has functional responsibility for the production engineering discipline; he leads a team of Artificial Lift subject matter experts; he leads the Oxy Engineering Development Program for recent engineering graduates; and he provides technical support, mentoring and training for multiple artificial lift techniques. Throughout his career, Greg has specialized in the various aspects of artificial lift, production surveillance, automation and optimization. He has taught numerous industry courses throughout the world and written a variety of technical papers and publications on the subject. In addition to his work at Oxy, Stephenson recently served on the JPT Editorial Committee as Technical Editor for Artificial Lift; he serves on the SPE Production and Facilities Advisory Board; he served as the Program Chairperson for the 2018 SPE Artificial Lift Conference and Exhibition – Americas; he serves on the Board of Directors of the Artificial Lift Research and Development Council; and he chairs API Task Group 19G/11S, which manages 25 product standards, recommended practices and technical reports related to artificial
lift technology. Greg holds a BS in Petroleum Engineering from Texas Tech University. He can be reached at
Agustin GambarettoI am a Sr Production Engineer at Schlumberger, Petroleum Engineer by background. Currently working with Agora Edge on the development and implementation of novel solutions focused on enabling wells autonomous operation leveraging on IIoT technology. I have broad experience with multiple ALS systems in several remote and diverse locations. Amid this digital transformation the O&G industry is undergoing I enjoy being in the forefront, designing and implementing new novel solutions that will change the way production operations works today.