Abstract
This presentation will explore a comparison of explicit, implicit, and machine learning techniques in geological modelling, focusing on their impact on volume and grade estimations. Using a detailed case study, we will discuss the risks and rewards associated with each method, providing insights into their practical applications and effectiveness.