This presentation discusses specific cases of how AI, both generative AI with Large Language Models, and Machine Learning have been used to detect and eliminate methane and other greenhouse gas emissions. The first example involves evaluating a service company's software package that uses historical and current measurements of oil and gas operations to analyze and forecast emissions. We will examine Chevron's blueprint for reducing methane emissions in the Permian Basin and discuss areas where Machine Learning and Deep Learning have been used, and where generative AI is being used for repurposing data sets for future needs.