SwRI will be exhibiting at the CH4 Connections – The Methane Emissions Conference.
Tuesday, September 25
3:45 p.m.–5:15 p.m. Vendor Showcase
“Autonomous Methane Leak Detection Using Optical Sensing and Machine Learning,” Maria Araujo
This presentation will highlight the Smart Methane Leak Detection (SLED/M) technology, which is being developed by SwRI and the U.S. Department of Energy (DOE) National Energy Technology Lab (NETL). The technology utilizes off-the-shelf mid-wave infrared imaging and machine learning to enable early, autonomous detection of fugitive methane emissions at midstream facilities.
Maria Araujo is Manager of R&D at Southwest Research Institute, in San Antonio, Texas. Maria is heavily involved in many leak detection initiatives focused on the application of machine learning techniques to identify liquid hydrocarbons as well as methane leaks. Maria holds Bachelor of Science and Master of Science degrees in electrical engineering from the University of California, Los Angeles (UCLA). She is the recipient of an R&D 100 Award for the development the of the Smart LEak Detection (SLED) system and was named one of San Antonio’s Top 40 Under 40 in 2017 by the San Antonio Business Journal.