ESP Reliability; Data Collection and Analysis Course

Francisco Trevisan

Upcoming course

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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.Read more...

Upcoming course

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Course contents

    Chapter 1 - Introduction

    01-01 - Introduction & Course Objectives

    Chapter 2 - Data Collection Best Practices

    02-01 - Standards and Datasets

    02-02 - Definitions and Nomenclature

    02-03 - Nomenclature Exercises

    02-04 - Database Structure

    Chapter 3 - Reliability Basics

    03-01 - Definitions

    03-02 - Lifetime Distributions

    Chapter 4 - Measures of Run-Life

    04-01 - Definitions

    04-02 - Measures and Applicationss