MECADA (Metering & Calibration Data Analytics) is used to identify in-field meter issues faster. Join this free webinar to see it in action. Learn how you can save costs and significantly reduce the manual effort required for monitoring the health of a flow meter portfolio.
During the webinar, we will discuss:
- The challenges and problems metering engineers are facing in assuring the reliability of Ultrasonic gas flow meters, and metering systems in general
- How you can save costs and significantly reduce the manual effort required for monitoring the health of a flow meter portfolio
- How to best manage the significant amounts of data coming from meter diagnostics, especially with a large installed base of meters from different vendors
- How you can visualize all your data, to give staff all the insight they need to do their job efficiently.
With MECADA, operators can save significant costs by avoiding mismeasurements, optimizing recalibration schedules and minimizing meter downtime with MECADA. Instead of actively analyzing every meter in a manual effort, you can automate periodic analyses and receive an alert when issues are found. Find out more about MECADA.
Lennart van Luijk, Senior Flow Metering Specialist/Data Scientist, DNV GL
Lennart has more than 15 years of experience in flow metering and analyzing the data that flow metering equipment generates. Automates as much as possible in every job due to a strong preference for non-repetitive work and efficiency. Solid international experience in auditing metering stations globally and solving Lost-and-Unaccounted for Gas issues for grid operators. Lennart uses statistics, automation, and machine learning in his day to day job to facilitate solving metering issues.
Pieter Verhoeven, Senior consultant digital innovation, DNV GL
Pieter is a Senior Consultant with a diverse background in digital innovation; business change management; program management and knowledge management. In DNV GL’s digital transformation strategy, Pieter is driving a non-conventional route for testing feasibility of recent breakthroughs in Artificial Intelligence and Data Science and viability if its use in emerging data platform business models.
Date and time of the webinar:
- 3rd November 2020, Tuesday, 11:00 a.m. – 12:00 p.m. CET
Unable to attend?
Simply register here to receive the recording after the webinar.