GeoSlicer is an open-source digital rock platform. This release builds upon the 2.8.0 foundation with enhancements in AI integration, simulation, and data compatibility.

What’s New in v2.8.5?
🟢We’ve packed this version with tools to streamline your digital rock physics workflow:
🟢Advanced Segmentation: A new Supervised MicroCT Segmentation module with real-time previews and the addition of the CLAHE Tool for superior image contrast.
🟢AI & Simulation: Integration of SinGAN for AI model generation and the ability to run Pore Network Model (PNM) simulations on external clusters.
🟢Enhanced Analytics: New modules for Euclidean Distance Transform (EDT), segment coordination measurements in watershed algorithms, and KDE Analysis for grouping segmenter results by depth.
🟢Improved Export & Loading: Support for NetCDF files in the MicroCT Loader and a more robust Image Log Export that supports proportions labelmaps.
🟢PNM Upgrades: Enhanced subresolution unit adaptation and the generation of MICP charts.

⬇️Download the update:
https://lnkd.in/dFjBwYex

Explore more:
ltrace.com.br/geoslicer

#DigitalRock #OpenSource #Geosciences #AI #MicroCT #geoslicer

Juliana Finoto Bueno, Bruno Honório, and Fernanda Oliveira Hoerlle from Equinor Brazil joined us for the official kickoff meeting of the AMaBILI project (Assisted Machine-Learning for Borehole Image Log Interpretation). 🤝💻

Hosting this gathering at ACATE - Associação Catarinense de Tecnologia (Catarinense Technology Association) made the experience even more meaningful. It’s exactly where LTrace was born during our incubation at
Incubadora MIDITEC, so it felt like a true full-circle moment! 🏢🚀

A big thank you to everyone who attended and made the meeting such a success, including Fernando Bordignon, Leandro Passos de Figueiredo, Rodrigo Exterkoetter, Ingrid Bertin, Ph D.., Tiago Brizolara da Rosa, José Vinícius Boing de Souza, Fernando Henrique da Costa, Rodrigo Azambuja, Marcel Mei, Diego Emilio Zanellato

#LTrace #Equinor #MachineLearning #imagelog #petrophysics

Conference Course #4: Multiscale Pore Network Simulation with GeoSlicer
Join Rafael Guntzel Arenhart (LTrace Geosciences) for a practical introduction to Pore Network Modelling using GeoSlicer—an open-source platform for advanced geoscience analysis.

🗓️ Monday, 18 May 2026
🕑 14:00–17:00 (half-day)
📍 La Cité Nantes Congress Centre (conference venue)
👉 Register now: https://lnkd.in/dPkQG-gk 🚀

What you’ll learn:
Micro-CT workflow for porous rock samples: visualization and pre-processing
Extracting multiscale pore networks from tomographic images
Running single-phase and two-phase fluid flow simulations on the extracted networks

Laptop required: please bring a laptop with GeoSlicer installed (download the latest release here: https://lnkd.in/dkepPPZ6 ).
If you work with digital rock physics, micro-CT, pore-scale modeling, or multiphase flow, this is a great opportunity to go from images to simulations in a guided, end-to-end workflow.

#InterPore2026 #GeoSlicer #DigitalRockPhysics #PoreNetworkModeling #MicroCT #Geoscience #ReservoirEngineering #OpenSource

We’re excited to share that LTrace is participating as an exhibitor at the InterPore - International Society for Porous Media Annual Meeting in Nantes 🇫🇷🇧🇷🌍
📅 May 19–22, 2026

InterPore brings together a world-class community working on porous media, from fundamental physics to applied geoscience and engineering. Being there as an exhibitor is a great opportunity for us to:

- showcase how we’re advancing digital rock and image-based workflows 🪨📊
- exchange ideas with researchers and industry experts 🤝💡
- connect with people who care about better physics, better uncertainty quantification, and better decisions 📈🎯

At our booth, we’ll be showcasing the latest version of GeoSlicer, highlighting new capabilities for digital rock analysis and image-based characterization workflows.

If you’re attending InterPore in Nantes 🇫🇷, come by our booth to talk about digital rocks, open science, and how AI-powered image analysis can bridge research and real-world applications.

See you there! 🙌✨
#InterPore #DigitalRock #GeoSlicer #PorousMedia #Geoscience #ImageAnalysis #AI #LTrace

We are thrilled to launch our new Bayesian Facies Classification module for OpendTect! This tool enables the estimation of the most likely facies model along with probability maps for each facies.

Given a pair of seismic attributes and a set of well logs, facies are estimated based on the Bayesian posterior probability. This probability is defined by the product of a prior facies proportion and the bivariate conditional probability of the attributes given the facies, which is derived from the well logs. The most likely facies model is obtained by identifying the facies with the maximum posterior probability.

Key Features:
We designed an interactive interface to make this advanced workflow efficient and user-friendly:
📊 From Logs to Probability: Automatically compute Probability Density Functions (PDFs) for seismic attributes directly from your well logs.
🖱️ Interactive Crossplots: Visually manipulate PDFs to refine your facies definitions on the fly.
⚡ Instant Results: Experience instantaneous classification updates as you adjust parameters, perfect for testing different scenarios.
✅ Easy QC: Seamlessly validate predicted facies probabilities against reference data to ensure confidence in your interpretation.

Level up your quantitative interpretation! 👇

Interest in a trial for the LIS plugin? Send a message to Leandro Passos de Figueiredo and get started.
Don’t forget to take advantage of our release discount available for a limited time! 💸

#Geophysics #SeismicInversion #Bayesian #ReservoirCharacterization #QuantitativeInterpretation

We are thrilled to announce the official release of the Multi-Trace Wavelet Estimation module, now fully integrated into the LTrace Inversion Suite (LIS) plugin for OpendTect!

This module offers an intuitive, interactive interface designed to help you accurately define wavelet phase and energy by leveraging statistical analysis across multiple seismic traces and wells simultaneously.

🔍 What’s new in this module?
- Multi-Well Integration: Perform statistical analysis of multiple traces around several wells at once for a more robust estimation.
- Smart Correlation: Automatically compute the optimal time shift for each trace to achieve maximum correlation with your synthetics.
- Interactive Selection: A user-friendly interface that lets you manually pick and refine the traces used in your workflow.
- Fine-Tuned Accuracy: * Phase Tuning: Determine the absolute best wavelet phase based on your selected data.
- Energy Tuning: Once the phase is set, pinpoint the ideal energy value for high-fidelity results.

💡 Ready to elevate your inversion workflow?

Interest in a trial for the LIS plugin? Send a message to Leandro Passos de Figueiredo and get started.
Don’t forget to take advantage of our release discount available for a limited time! 💸

More info: https://ltrace.com.br/lis

Special thanks to Daniel Maia from BWE for building it up together

#SeismicInterpretation #SeismicInversion #Geophysics #WaveletEstimation #Exploration #Geosciences

As we wrap up 2025, it’s time to look back at the incredible journey of GeoSlicer, our open-source platform dedicated to digital rock physics (https://lnkd.in/dgjfxrgb). This year has been defined by massive technical leaps, a commitment to open science, and an ever-growing community of contributors.

From transitioning to a more stable build to expanding our Pore Network Modeling capabilities, here is the breakdown of what we achieved this year:
➡️ Version Leap: Moved from v2.5.3 at the end of 2024 to our latest stable release, v2.8.2.
➡️ Codebase Evolution: 1,070 commits with over 425,000 lines of code added.
➡️ Community Driven: 16 unique contributors pushing the boundaries of what’s possible in rock physics.
➡️ Stability First: Estimated 300 bug fixes and 172 brand-new features implemented.
➡️ Key Highlights & Innovations
➡️ Pore Network Modeling (PNM): Enhanced simulation for k_abs and k_rel calculations, improved handling of wettability, and new support for remote execution.
➡️ Advanced Segmentation: Introduced the "Smart Foreground" effect and Euclidean Distance Transform to make image analysis more precise than ever.
➡️ MicroCT & ImageLog: New data loaders (NetCDF/Tescan file format) and a brand-new open-source DLIS writer replacing closed-source legacy tools.
➡️ UX/UI Modernization: A cleaner, more consistent interface designed for efficiency and better error handling.
➡️ GeoSlicer Remote: Improved performance for multi-user support on a single node, enabling better collaboration.
➡️ Quality Assurance: Our test suite grew from 219 tests to 364, achieving a 100% pass rate on unit tests (up from 86.3% last year!).

🤝 A Heartfelt Thank You
This progress wouldn't be possible without the synergy of a brilliant community.
A special thanks to the entire LTrace team for their tireless dedication to the code and the vision.
We also extend our deep gratitude to our partners at Petrobras and Equinor Brasil. Your support and collaboration ensure that GeoSlicer remains at the cutting edge of industry needs, helping to democratize high-end digital rock physics for everyone.

#GeoSlicer #DigitalRockPhysics #OpenSource #LTrace #Petrobras #Equinor #OilAndGas #Innovation #Retrospective2025

LTrace is proud to participate in the “Multiphase flow in porous media for petrophysicists” workshop, hosted by the SPWLA Brazil Chapter in Rio de Janeiro. Our researcher, Rafael Arenhart, joined this intensive week led by Prof. Martin Blunt from Imperial College London to explore pore-scale physics from the classic fluid flow foundations to the latest multiscale modelling developments.

The course covered the complete technical journey, starting from image acquisition to fluid modeling, moving into the complexities of pore networks, and concluding with the generation and interpretation of pressure and permeability curves. These fundamental principles are the backbone of the GeoSlicer simulation modules, and the insights gained are now helping us further refine our existing multiscale simulation tools.

These advancements find great use in critical applications like oil recovery optimization and CO2 storage modeling.

We want to express our sincere gratitude to Prof. Martin Blunt for sharing his immense expertise. Beyond the technical depth, we were truly impressed by how he maintained such high energy and kept the audience fully engaged throughout 40 hours of lecturing in a single week!
Thank you to SPWLA Brazil for organizing this excellent opportunity for technical growth.

#LTrace #Geoslicer #DigitalRock #Petrophysics #EnergyTransition #PoreNetworkModeling #SPWLA #Innovation

Last week, teams from LTrace Geosciences and Equinor gathered in Bergen, Norway, together with our partners at Simula Research Laboratory, for an energizing workshop marking the official start of the new R,D&I ANP project:

Assisted Borehole Image Interpretation with Machine Learning (AMaBILI).
This initiative—executed by LTrace in partnership with Equinor Brazil—aims to push the boundaries of subsurface understanding by combining cutting-edge machine learning with domain expertise in borehole image interpretation.

🔍 AMaBILI will focus on developing ML-assisted tools to enhance efficiency, consistency, and insights in geological interpretation workflows, ultimately supporting smarter decision-making in complex carbonate reservoirs.

The workshop set a strong foundation for the months ahead:
✨ Clear technical alignment
✨ Collaborative roadmap planning
✨ Exciting discussions on innovation opportunities
✨ Excess-k project handover
✨ A shared commitment to delivering impactful research and technology

A huge thank-you to the Equinor and Simula Consulting teams for the productive sessions and enthusiasm. We’re looking forward to driving this project forward together!

#LTrace #Equinor #SimulaConsulting #AMaBILI #MachineLearning #SubsurfaceInnovation #RDI #EnergyInnovation #BrazilNorwayCollaboration

We are pleased to share LTrace's participation in the SBGF Conference 2025. It was a productive experience for sharing our work and connecting with the geophysics community.

LTrace was represented by Leandro Passos de Figueiredo and Elias Sant'Ana 🏳️‍🌈, who presented two research works:
➡️ Leandro Figueiredo presented the work entitled: "AI for seismic data reduction and model updating"
➡️ Elias Santana presented the work entitled: "Bayesian approach for seismic inversion and facies classification using IP and VP/VS parametrization"

It was a great opportunity to present our research in AI and Bayesian inversion and to engage with colleagues in the field.

Thank you to our co-authors Ricardo Zavala-Torres and Bruno Barbosa Rodrigues, DSc, to everyone who attended our presentations, and to the SBGF for hosting the event.

#SBGF2025 #Geophysics #SeismicData #MachineLearning #AI #BayesianInversion #LTrace