Project/Technology Description:
The system combines a compact spectrometer based on a mid-infrared laser, multi-port sampling system, and advanced computational approach to enable highly sensitive, accurate methane leak quantification and localization. The approach will use artificial neural networks and dispersion models to quantify and locate leaks with increased accuracy and reduced computational time in a diverse range of meteorological conditions and wellpad configurations. At each wellpad, a control unit will house the core sensor, a computing unit to process data, and wireless capability to transmit leak information to an operator, while the multi-port gas-sampling system will be distributed across the wellpad.