Extending workflows with rapid model generation – Virtual Lecture
Past event - Shaun O'Connor showed how to use the built-in scripting tools for exploratory geological modelling with sparse data...
Working with Geoscience ANALYST free viewer
- This course is designed for beginners.
- Quickly get started with Geoscience ANALYST, our free visualization and communication software for integrated, multi-disciplinary earth models and data.
- Learn how to open a project, navigate the interface, perform basic exploratory data analysis, use advanced visualization tools, and generate a 3D compilation.
Geoscience ANALYST Pro – object creation and editing
- This course is designed for geoscientists that already have a basic knowledge of the tools available in Geoscience ANALYST.
- Explore the object creation, data processing, and geophysics tools available in Geoscience ANALYST Pro.
- Learn how to digitize and edit points, curves, and surfaces; design 2D grids, block models, and drillholes.
- Validate your geological model through magnetics and gravity forward modelling and inversion.
Geoscience ANALYST Pro Geophysics
- This course is intended for geoscientists with a geophysical background and a basic understanding of the tools available in Geoscience ANALYST.
- Learn advanced geophysical forward and inverse modelling and interpretation using Geoscience ANALYST Pro Geophysics.
- Import, visualize, and process your geophysical data.
- Using VP Suite, SimPEG, UBC-GIF tools, compute unconstrained and constrained potential fields, DC/IP and EM inversions.
Geoscience ANALYST Pro Geology
- This course is designed for geoscientists that already have a basic knowledge of the tools available in Geoscience ANALYST.
- Learn advanced geological interpretation with Geoscience ANALYST Pro Geology.
- Import, visualize, and process your geological data.
- Build and refine geological models using 2D cross-section interpretation, explicit modelling, and integrated 3D implicit modelling (via open-source tools like GemPy).
- Perform advanced targeting workflows by combining multi-disciplinary data, statistical analysis, and machine learning to identify mineralization potential.
- Apply exploratory data analysis and interpolation techniques (e.g., PCA, clustering, neural kriging, RBF) to understand spatial patterns and geochemical relationships.
- Leverage AI-driven tools for automated domaining and text analysis (including drillhole re-logging and data standardization) to accelerate interpretation workflows.
