Optimize Your Glycol Drying Process:
How In Situ Rugged FTIR Spectrometers are Changing the Game
June 13, 2018 at 11:00 am PDT
For the Oil & Gas industry, glycol dehydration is a key process in the production of petrochemical products. Standard methods of measuring water in glycols have their challenges that force many to juggle speed of results versus expense and accuracy. This has led many manufacturers to look for better ways to monitor this process.
Join us on June 13th! Together, we’ll explore how a process-hardened, solid-state FTIR spectrometer provides reliable, low-ppm, in situ analysis in some of the most critical industrial processes. We’ll highlight the IRmadillo™ FTIR spectrometer, manufactured by Keit Spectrometers, which was used to monitor levels of water present in monoethylene glycol (MEG) and triethylene glycol (TEG). We’ll share how quantitative analysis of water content is possible with limits of detection (LoDs) below the practical drying level of glycols. Discover an effective method of monitoring water levels in glycols during glycolic dehydration.
Key Webinar Take-Aways:
- Industrial glycol recycling and the need for accurate real-time dehydration monitoring for improved process measurement and control.
- A comparative analysis of in-line FTIR versus common water quantifying techniques.
- Innovative solution that overcomes common drawbacks in process mid-infrared spectroscopy.
Complete the form below to register for the webinar:
Stephen Medlin, Ph.D.
Application Scientist, Quantum Analytics
Dr. Stephen Medlin is an application scientist at Quantum Analytics supporting SIFT-MS, NMR, Vibrational Spectroscopy, GC-MS, and other analytical techniques. His responsibilities include analytical assessment, design of experiment, feasibility studies, calibration model development and deployment, training, and on-going technical support. Dr. Medlin has a BS from UNC-Chapel Hill and a Ph.D. from Michigan State University in analytical chemistry. He had a Post-Doc at the US Army Research Laboratory where he studied the application of Artificial Neural Networks in the interpretation of Raman spectra.