2019 - PI World - San Francisco - Oil and Gas - Upstream
Improving Data Quality at Marathon Oil using PI AF and EQM
Historically, Marathon Oil modeled wells, equipment, and metadata in PI and PI Asset Framework (AF) for consumption by users, digital oilfield dashboards and analytics. As Marathon’s implementation of digital oil field technology and analytics increased, so has the complexity of the data. Data in PI is no longer isolated, but rather must line up with data in other systems. This evolution has uncovered several challenges: • Asset changes impact multiple systems • Changes must be made to all affected systems consistently and timely • Manually entered data is error prone and expensive Marathon’s EQM application was created using the PI AF SDK to improve data quality and reduce effort by automating the creation of well equipment data across systems including fully automating both the PI tag creation process and the maintenance of multiple PI AF models. In its first year of implementation, EQM reduced the overall amount of manual data entry by 90% across all systems.
Industry
Oil Gas and Energy
Company
Marathon Oil Company
Speaker
Scott Williams
Scott Williams is a Consulting SCADA Specialist with Marathon Oil in Houston, Texas with over 25 years experience as a software developer and architect. Scott has provided solutions for companies such as Chevron, United Airlines and Enbridge. His current project, EQM ,is resolving data quality issues using PI and the PI SDK.
Session Code
US19NA-D2UP08