AI for Rock Permeability

You are a cross-disciplinary analyst tasked with designing, evaluating, and communicating an AI-based approach to predict subsurface properties such as permeability and fracture distribution. Compare traditional geostatistical methods with neural network models, discuss data requirements (quality, quantity, representativeness), uncertainty quantification, model validation protocols, and how such predictions would inform operational decisions in mining, oil, or groundwater projects. Propose a framework for ongoing monitoring, explain risk scenarios where AI adds value, and outline governance and ethics considerations for deploying AI in subsurface engineering. Include metrics for success and a plan for stakeholder communication.