Best Of
🌟 Community Spotlight of the Month: Meet Victor Savange
This month, we’re featuring @VictorSavenije from the Netherlands 🇳🇱 - supporting offshore geophysical surveys around the world with Fugro.
Tell us a bit about yourselfI’m based in the Netherlands and work at Fugro, supporting offshore geophysical surveys globally.
Which Seequent product do you use most?I primarily use Oasis montaj for magnetometry - creating data representations (like grids) and interpretations for clients, which are wind farm developers for example.
What kind of work excites you most?I enjoy workflows that are both simple and efficient. Oasis montaj allows scripting with GS and Python, helping create consistent processes - and even enabling things beyond the default toolkit.
One tip for the communityThink critically about your workflows and where they can be improved - don’t limit yourself to what you think is possible.It can also help to experiment with generative AI. For example, try asking: “How do I create a Python extension for Oasis montaj that runs from the menu?”
Just for funVictor is taking on his first marathon in 3 weeks - we’re cheering you on, Victor! 🙌
Re: how can I get well defined youngest lithology on top
Thank you for your response François, much appreciated.
At the end I got it right by reducing the surface resolution of the model, putting it as "adaptive" and playing with the resolution of the surfaces created as well.
Re: how can I get well defined youngest lithology on top
Hi Maria,
Try creating a new surface chronology as a deposit, using the same lithologies as your erosional chronology. Sometimes Leapfrog is too strict, and you need to choose the type of surface chronology to use depending on the result you want to achieve.
I have even sometimes had to model sedimentary units as intrusive simply because, in my tectonic context, Leapfrog was unable to reproduce the correct geometry using erosional or depositional models.
I hope it will help you.
Cheers,
François
Check out the new Leapfrog-Imago core photo streaming integration!
Hey gang! New in Leapfrog version 2025.2 is the Imago core photo streaming integration. This integration allows you to seamlessly visualise drillcore photos right in your Leapfrog project, without slowing down task processing. The Seequent Learning Experience team has just published a course on the features and functionality of the integration, including an overview of the Imago portal and other applications. The course is demo-based, with software simulations allowing for a sample test-drive of the integration even if you don't have access to Leapfrog or Imago. Check out the course here!
Re: How to fix the "A GXpy instance has already been created for current thread" in Oasis Montaj
Hi @EGSMontaj1 this error usually means that you are creating a context (calling "gxpy.gx.GXpy()") multiple times in the same script execution. This may also happen if you call a script with this line from another script that has already created a context. We may be able to help more if you share the code.
Re: For MX Deposit
Thanks for the question. There is currently no way to share filters, but it's definitely something that we have on our list. Please keep sharing your ideas and feedback so that we can ensure we are working on the right features.
Re: Dark Mode for Geo
Hi everyone,
Personally, I only use dark mode in a few specific situations, often in dimly lit environments. Here is an article that summarises the findings of my extensive research into dark mode:
Dark Mode Isn’t Better For You, But We Love It Anyway
In conclusion: Those who like it should use it; the rest can stick with light mode.
Cheers,
Re: Dark Mode for Geo
@GeorgeWhitehouse I'm definitely using a dark background in my scene, but i think we're all interested in a dark project tree and shape list like this. It's similar to what you can do in Office, Chrome and other windows applications. It's much easier on the eyes.
📣 Member Spotlight: Meet Simon Robinson
Our Monthly Member Spotlight highlights the people and projects that make this community what it is.
This month, we’re spotlighting @simonrobinson, a Senior Exploration Geologist based in Otago, New Zealand, with experience across underground and open-pit production, resource estimation, and exploration projects around the world - including Australia, PNG, Morocco, and Saudi Arabia.
What he works on
Simon focuses on exploration and geological modelling, with a particular interest in finding new value in historic datasets. He’s been using Leapfrog Geo almost daily since 2015 to bring geological data together and generate new targets.
Tools he uses
Leapfrog Geo for wireframing narrow-vein mineralisation, building lithology models, and developing indicator models for target generation.
He’s also increasingly using Evo and Driver as they expand what’s possible in his modelling and analysis workflows.
What he finds most interesting
Recently, Simon has been using Driver on grade-control data to uncover subtle trends that may not have been recognised at the time—and then projecting those trends outward to support broader exploration targeting.
A tip for fellow community members
When building wireframing and estimation workflows, Simon recommends creating separate projects for wireframing and estimation and linking them through Central. This creates a natural validation step and helps maintain clarity across the workflow.
What sparked his interest in geoscience
Growing up in **New Zealand - essentially one large geological outcrop - **spending time in the mountains made geology feel like a natural path.
Fun fact
When he’s not untangling geological puzzles, Simon is getting tangled up in jiu jitsu - and recently earned his blue belt.
