3D Modeling and Exploration Targeting

This 11 day intensive in-person course trains students to create integrated models and use them for exploration targeting. Students will analyze and integrate multi-disciplinary data in 3D models created using both explicit and implicit approaches. They will define target minimums and use traditional approaches, prospectivity mapping and become familiar with AI-assisted data analytics to select exploration targets.
 

• Location: On campus, Laurentian University, Sudbury, Ontario, Canada.
   

By the end of this course, students will be able to:

1. Critically assess data quality and apply methods to effectively integrate historical and modern multidisciplinary data with differing survey parameters and data density.
2. Generate a 3D model framework that is designed to answer defined questions with appropriate resolution.
3. Apply implicit and explicit approaches to interpret integrated common earth models that respect geological, geophysical and structural data.
4. Analyze the pros and cons of implicit and explicit model creation and updating techniques, with reference to contrasting approaches to interpretation, interpolation and extrapolation.
5. Critique the strengths, weaknesses and biases of various exploration targeting methods, including conventional approaches, prospectivity mapping, and AI-assisted data analytics and targeting.

What to expect:

Software: Seequent Leapfrog & Mira Geoscience Geoscience Analyst Geology Pro. Students will have access to licensed software to use for this course.

Course Topics:

• Introduction to models and model data.
• Creating a compiled workspace.
• Explicit and implicit model building and editing.
• Validating and learning from 3D models.
• Exploration targeting (traditional generation and prospectivity mapping).
• Adding value through interpretation and extrapolation of geological and geochemical data.
• Implicit modeling of geochemistry.
• Exploration targeting.
• Examples of AI-assisted target generation.
• Case studies.