In this session, Markus Drouven, the Technical Director at the U.S. Department of Energy's National Energy Technology Laboratory (NETL), will delve into the innovative realm of open-source, optimization, and machine-learning based decision-support tools. These tools are designed to aid the broader emission mitigation community, with a particular focus on software tools that assist in prioritizing wells for plugging and optimizing Plug and Abandonment (P&A) campaigns. Mr. Drouven will discuss how these advanced software solutions integrate data analytics, machine learning algorithms, and optimization techniques to make informed decisions about well plugging. He will highlight how these tools can effectively identify high-risk wells, forecast environmental impacts, and plan efficient and cost-effective abandonment strategies. This presentation will be especially beneficial for stakeholders seeking advanced technological solutions to address the complex challenges of well abandonment and emissions reduction.