Application of Machine Learning for Calibrating Gas Sensors for Methane Emissions Monitoring

Application of Machine Learning for Calibrating Gas Sensors for Methane Emissions Monitoring

Methane leaks are a significant component of greenhouse gas emissions and a global problem for the oil and gas industry. Emissions occur from a wide variety of sites with no discernable patterns, requiring methodologies to frequently monitor these releases throughout the entire production chain. To...

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Bibliographic Details
Main Authors:	Ballard Andrews, Aditi Chakrabarti, Mathieu Dauphin, Andrew Speck
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Sensors
Subjects:	methane emissions machine learning Gaussian process regression artificial neural nets MO<sub>X</sub> sensors
Online Access:	https://www.mdpi.com/1424-8220/23/24/9898

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