What is Our a Priori Information? Generating Representative Earth Models for ML Training

This study presents a novel workflow for generating realistic 3D Earth representations tailored to machine learning (ML)- based velocity estimation tasks. By leveraging a comprehensive global dataset of 60,090 offshore wells integrated with seismic structural attributes, we address critical limitations in current synthetic datasets, which often lack representative geological complexity.