3D Modelling to Support Resource Estimation

Presented by: Pierre Landry, Sarah Conolly and Lorraine Tam, SLR Consulting (Canada) Ltd.

Summary: In this short course, attendees will gain an understanding of the importance of geological, structural, and mineralization modeling to support Mineral Resource estimation. This course will cover the critical aspects of data collection to support 3D interpretation, as well as some limitations of 3D models. The course includes extensive instruction on geological interpretation, which will cover multiple mineralization types, grade distributions, and controlling structures. Beyond mineralization, the course will also cover weathering, lithological, alteration, and structural interpretations.

In addition to discussing both implicit and explicit modeling techniques, special attention will be paid to the use of interpolants and their role in geological and mineralization interpretation. Real-world examples will be used to illustrate the modeling requirements of a variety of ore deposits. Attendees will engage in exercises to identify common modelling errors and explore effective strategies to address them.

The emphasis of this short course lies in providing comprehensive instruction on the foundational principles underlying the creation of 3D models. While it may share links to public datasets for skill refinement and a deeper understanding of mineralization controls assessment, it won’t furnish attendees with a step-by-step test dataset for direct replication. Screen demonstrations will be conducted, but the primary mode of participation will be through Q&A sessions. Participants do not need extensive prior knowledge or familiarity with specific software programs. The instruction will guide students through the fundamental principles for developing 3D models that effectively support resource estimation regardless of what software they are proficient with. Participants should have some basic experience working with or interpreting drillhole data in three-dimensional space.