Machine learning
Machine Learning Approach Improves Methane Emissions Monitoring
Scientists at Schlumberger-Doll Research have developed a novel machine learning approach that enables cost-effective monitoring of methane leaks in the oil and gas industry. The researchers state that methane leaks are a significant component of greenhouse gas emissions, and it is crucial to frequently monitor these releases throughout the production