Seequent Enables Streaming of High-Resolution Core Imagery into Leapfrog, Bringing Advanced Image Analysis to the Heart of Geological Modelling

Seequent, The Bentley Subsurface Company, has expanded the capabilities of its 3D geological modelling solution, Leapfrog, introducing streaming of high-resolution core imagery directly into the modelling interface from its cloud-based, advanced image analysis product, Imago.

Ryan Lee, Product Manager, Geology at Seequent, says, “At Seequent, we’re continually advancing Leapfrog and other solutions across our portfolio to help customers address ever-evolving geoscience challenges more productively and intelligently.
“This Leapfrog release is a major advancement for mining customers as it brings core photos and other imagery from core scanning to the Leapfrog modelling workflow. It also leverages recent advancements we’ve made in Imago, including machine learning capabilities that add value to core imagery. These valuable insights now appear in Leapfrog, adding spatial context to core imagery in a way that was previously not possible. Collectively, these advancements deliver a step change for our customers – to maximise value from geoscience images for improved interpretation during modelling.”

Imago enables users to easily access, collaborate on, and validate high-quality geoscientific images, adding value through functionality such as its machine learning-enabled AutoCrop, which provides a linearised downhole reconstruction of core images to show core as it was in-situ. With this geoscientific imagery directly accessible in Leapfrog 2025.2, users can seamlessly view images within the context of their geological model and examine core photos closely without needing to switch applications, supporting faster, more informed modelling decisions.

Summary highlights

• Core imagery from Imago can be seamlessly accessed directly in Leapfrog 2025.2 for faster modelling decisions: users save time without having to switch between applications.
• Imago images are streamed from the cloud, rather than imported: data is cached outside of the Leapfrog project to avoid impacting project performance.
• Better geological feature understanding: image details can be viewed in the context of the model, and spatial context is added to core images through the in-scene highlighting of related drilling intervals.
• More value from core imagery: drilling insights from Imago remain connected to the geological model throughout the project, from discovery to grade control.

Extracting more value from core imagery

Core images are immensely valuable for verifying logging, validating assays, pinpointing model contacts, and extracting rich geological information – such as texture, colour, mineralogy, lithology, alteration, and structure. Imago covers the entire process of gathering, managing, and using geological images. Users can effortlessly capture images using Capture X software, which controls the camera, or take photos with the Imago mobile app. The cloud-hosted images can be accessed by users and collaborators in Leapfrog.

Leapfrog 2025.2 enables the extraction of significantly more value from this data. The ease of access to core imagery from Imago speeds up the modelling process and, when coupled with Imago’s advanced image analysis powered by machine learning, delivers maximum insights by transforming image data into knowledge.

In the integrated Imago panel, cloud-hosted images are streamed seamlessly from Imago directly into Leapfrog. Users can view and compare multiple imagery types side by side, including wet and dry core photos, hyperspectral imagery, and mineral maps from core scanning. An in-scene highlight provides spatial context as the imagery is viewed, with fully customisable visibility, scale, opacity, and colour settings to enable more informed interpretations. Images are cached outside of the project to ensure performance is not impacted.

Caleb Bramwell, Product Manager, Imago at Seequent, says, “Over the past year alone, millions of Imago images have been taken from tens of millions of metres of drilling using Imago’s Capture X technology. We’re also seeing a growing trend towards satellite internet use by customers who use Imago in the field to enable cloud connectivity from remote locations. Strengthening Leapfrog’s cloud capabilities with on-demand streaming from Imago ensures core images are captured and accessible for use in the modelling process.”

Machine learning insights: transforming data into knowledge
Mining companies can now leverage vast amounts of data like never before to make ever-more data-driven decisions. Technologies like machine learning help to standardise data capture, enhance quality control and consistency. These advancements facilitate more accurate resource modelling and mine planning, leading to increased productivity and a more sustainable approach to mining operations and exploration.

Imago’s machine learning-powered AutoCrop enhances the data collection process by automatically cropping and linearising core tray imagery, saving users time and effort. For example, Imago’s advanced image analysis, utilising machine learning, further enhances core imagery insights, transforming image data into knowledge.

In Leapfrog 2025.2, seamless integration with this core imagery, enhanced by machine learning insights, supports interpretation and modelling at every stage of the project, from exploration to grade control.

Powered by Imago’s machine learning, core photos can be depth-registered to provide more accurate depths. Additionally, Imago’s AutoCrop can be used to create a downhole reconstructed view, allowing the core to be viewed as it was in situ.

Imagery can be visualised at multiple scales, maintaining the broader spatial context at model scale while still being able to see finer geological details within the core imagery at a finer scale. Multiple Imago image streaming panels can also be opened, allowing for the highlighting or correlation of key features spanning multiple photos or holes. When paired with an Imago dominant colour drilling interval table, colour changes resulting from differences in lithology or alteration can be easily identified in the 3D scene, with the core imagery opening in a single click.

For more information on Leapfrog updates, see:
Leapfrog Geo: https://www.seequent.com/products-solutions/leapfrog-geo/
Imago: https://www.seequent.com/products-solutions/imago/
To learn more and connect with a Canadian representative, please reach out to: Jenny Ni, Project Geologist, Data Management at Seequent, jenny.ni@seequent.com