Event Details:
Adam Brandt of Stanford University talks about Imagery for methane detection: Automating the state of the art.
Abstract
We believe that imaging systems for visualizing methane plumes have a variety of advantages compared to other detection options. Also, we believe that automating the detection of methane plumes from imagery or video signals is possible and feasible at scale using current technologies. Automation will speed the detection process and greatly reduce labor costs, making detection at least 10x cheaper than current EPA methods. The components needed to build this system are available and commercial, or have been open-sourced from the academic community. I will outline a plan for developing such a system and talk about possible pitfalls and challenges.
Bio
Adam R. Brandt is an Associate Professor in the Department of Energy Resources Engineering at Stanford University and has a PhD from UC Berkeley . His research focuses on reducing the greenhouse gas impacts of energy production and consumption, emphasizing fossil energy systems. Research interests include life cycle assessment of petroleum production and natural gas extraction. Particular interests include evaluation of emerging methane emissions detection technologies and life-cycle analysis of unconventional fossil fuel resources such as oil sands, oil shale and hydraulically fractured oil and gas resources. He also researches computational optimization of emissions mitigation technologies, such as carbon dioxide capture systems.