In this recording, learn how Oasis montaj helps visualise, process, model, and interpret field geophysical data across ground and airborne surveys.
We cover key processing workflows including 2D Filtering, Grid Texture Analysis (Structural Complexity Maps), Source Edge Detection, and Self-Organizing Maps to enhance subsurface interpretation and identify prospective targets.
The session also explores advanced applications such as 3D modelling, VOXI Earth Modelling, and the use of open-source Python machine learning tools to classify anomalies and maximise the value of magnetic surveys.
Finally, discover how Seequent Central and Seequent Evo support data sharing and collaboration, integrating seamlessly with geological modelling solutions such as Leapfrog Geo.
- Connected data environment: Learn how to access open Geoscience Data or streamlined Seequent integration tools, including Central and Evo.
- Dynamic data processing and interpretation: Learn how to use Gradient Enhanced Gridding, MAGMAP (1-Step & Interactive Filtering), Grid Texture Analysis (Structural Complexity Maps), and Source Edge Detections.
- Enhanced and elevated 3D modelling: Using VOXI 3D Earth modelling and Open Source Python Self-Organizing Maps code.
Overview
Speakers
Farzaneh Farahani, Project Geophysicist – Seequent
Duration
60 minutes