Key Takeaways

  • Airborne total magnetic intensity (TMI), gravity, and magnetometry survey processing is classical geophysics — Geosoft Oasis montaj (Seequent) remains the industry-standard processing software.
  • The AI layer is additive, not a replacement: platforms like VRIFY DORA take your processed airborne grids and fuse them with other datasets for automated target ranking.
  • This item is marked “Emerging” for AI relevance specifically because the fusion/interpretation layer is newer than the acquisition and processing itself.
  • If you’re not already using AI-driven fusion tools, your airborne survey workflow doesn’t need to change to benefit later — the processed grids are the input DORA and similar tools expect.

TL;DR

Process your airborne TMI/gravity/magnetics survey in standard software (Geosoft Oasis montaj), then optionally route the output grids into an AI fusion/targeting platform like VRIFY DORA to combine them with geochemistry and geology for automated target ranking — the acquisition side stays classical.

How Do I Automate Airborne TMI, Gravimetry and Magnetometry With AI?

Airborne geophysical surveys — total magnetic intensity, gravimetry, electromagnetics — are collected and processed the same way they’ve been for years, with Geosoft Oasis montaj (part of Seequent/Bentley) as the standard processing environment for gridding, filtering, and deriving products like reduction-to-pole magnetics or first-vertical-derivative grids.

AI enters once those processed grids exist. Instead of a geophysicist manually interpreting anomaly patterns and handing off a target list, platforms like VRIFY DORA ingest the processed airborne grids alongside geochemical and geological layers and run them through a trained model (DORA specifically uses a Random Forest approach over ~24 derived rasters) to produce a ranked prospectivity map. This is why the tool_category for this item leans “Emerging” — the acquisition and core processing are fully mature, but the AI-driven interpretation layer on top of it is a more recent addition to the standard workflow, not yet universal practice.

Practically: keep doing airborne geophysics the way you already do it, export clean, georeferenced processed grids, and treat DORA (or a similar fusion platform) as an optional downstream step when you want AI-assisted target generation rather than manual interpretation.

Try It With Geocluster

Getting airborne geophysics grids into a state where they can be cleanly fused with other geological datasets — consistent projections, resolution, metadata — is foundational data work that Geocluster can help streamline before it ever reaches a targeting model.