Mining professionals know the value that geological images bring to exploration and production. From validating assays to pinpointing model contacts, core imagery is a crucial piece of the puzzle. But until now, making the most of this data often meant switching between applications, slowing down workflows and adding complexity.
With the release of Leapfrog 2025.2, Seequent has changed that. The integration with Imago now enables high-resolution core images to stream directly into the Leapfrog modelling environment, delivering speed, context, and insight like never before.
Leapfrog 2025.2 with the integrated Imago panel streaming core imagery from Imago
Why Core Imagery Matters
Core photos and other imagery are more than just pictures: they capture rich geological information like texture, colour, mineralogy, lithology, alteration, and structure that supports smarter decision-making. These insights help geologists validate data, interpret geology, and ultimately reduce uncertainty.
Imago has already transformed the way teams capture and collaborate on geological images, with tools like its machine learning-powered AutoCrop creating downhole reconstructions that show core as it was in-situ. Now, Leapfrog 2025.2 brings those images into the heart of the modelling process.
What’s New in Leapfrog 2025.2
With Imago’s cloud-based imagery now streaming into Leapfrog, users can:
- Save time and streamline workflows: No more toggling between applications. Images appear directly within Leapfrog.
- Maintain performance: Data is cached outside the project, so large image datasets won’t slow things down.
- See imagery in context: Drilling intervals are highlighted directly in-scene, providing spatial context that links the core to the geological model.
- Gain richer insights: Multiple imagery types can be compared side by side, from wet and dry core photos to hyperspectral imagery and mineral maps.
Machine Learning: Turning Images into Knowledge
Mining companies are increasingly turning to machine learning to handle the vast amounts of geological data they generate. Imago’s advanced analysis helps standardise capture, improve quality, and provide insights that drive better modelling and mine planning.
In Leapfrog 2025.2, these insights go a step further:
- Depth-registered core photos improve accuracy.
- AutoCrop saves time by automatically cropping and linearising imagery.
- Colour-coded sections, powered by machine learning, allow geologists to see lithology and alteration at a glance.
Colour-coded core imagery in Leapfrog, enhanced by Imago’s machine learning.
Together, these capabilities mean faster interpretation, more consistent models, and better-informed decisions, supporting both productivity and sustainable mining practices.
A Connected Future for Mining Workflows
For many customers working in the field, connectivity is no longer a barrier. With satellite internet and Imago’s Capture X software, millions of core images have been uploaded to the cloud, ready to be accessed and analysed wherever they’re needed.
Now, Leapfrog strengthens this connected workflow, ensuring images remain linked to geological models throughout the entire project lifecycle, from discovery through to grade control.
See Leapfrog 2025.2 streaming core imagery in action