EXTRACTION OF DEPTH TO BEDROCK FROM AIRBORNE ELECTROMAGNETIC DATA USING ARTIFICIAL NEURAL NETWORKS

Most large infrastructure projects worldwide suffer cost and schedule overruns due to unknown ground conditions. We reduce geological risk by connecting airborne EM models with sparse and strategic drilling via machine learning analytics, thereby building a geotechnical relevant 3D-model. This bridges the remaining gap between geophysics and engineering.