Artificial Lift Reliability Performance Analysis

Disciplines: Production and Operations

Course Description

This course is designed to give attendees a better understanding of the steps to take and considerations to keep in mind when conducting an artificial lift reliability performance analysis. This course covers the typically analysis life-cycle of defining an appropriate problem statement, collecting and cleaning required field and equipment data, selecting the appropriate analysis metrics, performing the analysis, and finally reviewing and interpreting the analysis results. Case studies and examples will be provided to help illustrate and support the course material.
Topics covered include:
-    Defining a good reliability analysis problem statement;
-    Considerations for collecting and cleaning artificial lift production, equipment, and failure data;
-    Review of important reliability theory as it applies to artificial lift systems;
-    Discussion of common metrics used for estimating artificial lift run-life performance; and
-    Discussion of data analysis considerations and common analysis biases and pitfalls.
This course is based on knowledge, information and experience gained through two major joint industry projects conducted over the last 25 years.

Learning Level

Introduction to intermediate

Course Length


Why Attend

This course will provide attendees with the skills to conduct a reliability performance analysis in order to gain insight into equipment performance and support production optimization decisions. Attendees will gain an understanding of how to approach a reliability analysis in a systematic manner and how to carefully review results to ensure they are representative of actual system reliability performance.

Who Attends

Engineers, field operators, completion and production technologists, and the staff of equipment manufacturers and vendors who are interested in digging deeper into the recommended steps to take and considerations to keep in mind when conducting an artificial lift reliability performance analysis.


.8 CEU's 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.



John W. Sheldon is a seasoned professional in the realm of equipment reliability and software management, currently serving as a Senior Engineering Consultant at C-FER Technologies (1999) Inc. 
John's educational background includes a Bachelor of Engineering in Mechanical Engineering with a Minor in Software Engineering and a specialization in Mechatronics from McGill University in 2003. He furthered his academic pursuits with a Master of Science in Computing Science from the University of Alberta in 2007. John holds a PEng accreditation, being a Registered Professional Engineer in Alberta, and is an active member of the Association of Professional Engineers and Geoscientists of Alberta (APEGA). 
Throughout his career, John Sheldon has been at the forefront of advancing reliability analyses and engineering practices in the field of petroleum engineering, particularly focusing on Progressing Cavity Pumping (PCP) Systems and Electric Submersible Pumping (ESP) Systems. His contributions include managing significant projects such as the PCP Reliability Joint Industry Project (JIP) and the ESP Reliability Information and Failure Tracking System (RIFTS) JIP. 
John's expertise extends to equipment reliability analysis, where he has developed and managed software tools such as Run-Life Xplore Software and has authored and co-authored numerous papers and technical reports on PCP and ESP reliability analysis, as well as mechanical shaft seal testing. 
His dedication to advancing industry knowledge and standards is further reflected in his involvement in professional associations such as the Society of Petroleum Engineers (SPE) and his commitment to sharing insights through teaching courses and presenting at conferences worldwide.

19 Aug 2024
The Woodlands, Texas, USA

Held in conjunction with SPE Artificial Lift Conference and Exhibition - Americas

Before 23 July

USD 550 Member
USD 750 Nonmember

23 July-12 August

USD 650 Member
USD 850 Nonmember​​​​​​

After 12 August

USD 750 Member
USD 950 Nonmember