ESP Reliability Data Collection and Analysis

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Disciplines: Data Science and Engineering Analytics | Production and Operations

Course Description

Once the ESP Dismantle, Inspection, and Failure Analyses (DIFAs) are concluded, the production professional must turn the lessons learned from all the individual ESP failures into information that identifies the most efficient way to apply the limited time and resources towards improving ESP run-life. The key process for this is to conduct a reliability analysis.

This course is designed to give the attendees an overview of the existing best practices towards ESP reliability data collection, metrics, and analyses. Discussions begin with some important nomenclature definitions, parameters typically collected, and best practices for building an ESP installation database. The lecture then transitions to a more theoretical content; for a brief overview of the mathematical and statistical tools used in reliability engineering. Later application of the theory is reviewed, to properly build and analyze survival curves and different metrics (such as Failure Rate, MTTF, and MTTP), and how they can be used to identify early failures, track run-life improvements, and estimate the number of workover and ESP needed for the next time period. Guidance is provided to the trainees on how to build their own Key Performance Indicators (KPIs) graphs and dashboards using MS-Excel.

Topics:

• Data Collection: Definitions, Standards, Best Practices, and Examples
• Database Structure
• Life-Time Distributions and Survival Function Analysis
• Run-Life Measures: Definitions, Best Practices, and Examples

Course Length

1 Day

Why Attend

This course will provide production professionals the ability to extract the most out of their ESP installation and failure data, and answer important questions related to run-life improvement, such as: What is the current run-life expectancy of my ESP systems? How many failures and workovers will I have next year? What can be done to improve the uptime of my wells? What factors are impacting ESP run-life the most? How can I compare different equipment technologies with respect to their run-life?

Upon completion of this course, participants will be capable of building and populating an ESP installation database using industry nomenclature standards, as well as, building KPI charts and performing reliability analysis.

They will learn that field practices that are most affecting ESP reliability are key to determining where to invest resources and improve well uptime. This course teaches industry best practices in data collection and statistical analysis to guide meaningful decision making.

Who Attends

Anyone interested in learning how to organize and compile ESP installation and failure data, as well as to conduct statistical analysis towards tracking and improving ESP reliability and run-life.

Special Requirements

The practical examples in this are course are to be followed by the attendees using spreadsheets, therefore, it is recommended that individuals be equipped with computers with spreadsheet software installed (preferably MSExcel).

CEUs

0.8 CEUs are awarded for this 1-day course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Instructor