Francisco Trevisan

ESP Reliability; Data Collection and Analysis

This course offers a comprehensive overview of best practices for improving the reliability and run-life of Electrical Submersible Pump (ESP) systems through effective data collection and statistical analysis. Attendees will learn how to build and maintain an ESP installation database, apply reliability metrics such as failure rate and Mean Time To Failure (MTTF), and utilize mathematical tools to analyze survival curves. The course also emphasizes the creation of Key Performance Indicators (KPIs) and dashboards in MS Excel to track system performance, estimate future workovers, and identify key factors affecting ESP run-life.
Targeting production professionals, the course equips participants with practical skills to answer critical questions related to ESP system uptime and reliability. By the end of the program, attendees will be able to implement data-driven strategies for improving ESP performance, forecast failures, and make informed decisions on equipment technologies. This course is ideal for individuals responsible for managing ESP systems who wish to enhance their ability to conduct statistical analysis and improve system longevity.

01-01 – Introduction & Course Objectives

02-01 – Standards and Datasets
02-02 – Definitions and Nomenclature
02-03 – Nomenclature Exercises
02-04 – Database Structure

03-01 – Definitions
03-02 – Lifetime Distributions

04-01 – Definitions
04-02 – Measures and Applications

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