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

Last week, Ingrid Bertin, Ph D. represented LTrace at the American Association of Petroleum Geologists (AAPG) International Conference & Exhibition (ICE) 2025 in Rio de Janeiro.

She presented the work titled "Integration of multi-resolution X-ray microCT images using machine learning and geostatistical approaches." The presentation demonstrated how machine learning and geostatistics can be used to integrate multi-resolution X-ray microCT images of rocks.

The work is part of a R&D project in partnership with Equinor Brazil. Thank you Ingrid Bertin, Ph D. for the talk and for representing us at the Event.

#LTrace #Geoscience #AAPGICE2025 #Innovation #MachineLearning #DigitalRock

Our Bayesian Linearized Inversion (BLI) plugin is now fully updated and compatible with Petrel versions 2022, 2023, and 2024.

Stop the clock on your seismic inversion workflows. The BLI plugin allows you to accelerate reservoir characterization projects without compromising on quality.

Key benefits include:
⚡ Unmatched Speed: Achieve results 6-10x faster than traditional Constrained Sparse Spike Inversion (CSSI) methods, thanks to our analytical, non-iterative solution.
💻 Full GPU Acceleration: Harness the power of your NVIDIA hardware. Our CUDA-enabled process delivers an additional 4-7x performance boost for elastic inversions.
✅ Trusted Scientific Rigor: Generate high-quality, defensible acoustic and elastic property models with results comparable to slower, optimization-based techniques.
Our robust analytical Bayesian framework makes it possible. Spend less time waiting and more time on high-impact interpretation.

Accelerate your workflow today. Find the plugin on the SLB Ocean Store: https://lnkd.in/dStvsQ_q

#Petrel #SeismicInversion #Geophysics #ReservoirCharacterization #OilAndGas

📢LTrace is excited to announce a data visualization update to our open-source digital rock platform, GeoSlicer! 🚀

We have updated the visualization capabilities in GeoSlicer for single-phase absolute permeability simulations in Pore Network Models (PNMs). While the absolute permeability values are the primary output of the simulations, visual analysis of flow data provides essential context for interpreting numerical results.

The new visualization options include:
➡️ Pressure Field Visualization: The capillary pressure of pores, resolved and unresolved, can now be mapped across the network, and the connectivity can be assessed through the visualization of throats.
➡️ Mapping of Resolved and Unresolved Porosity: The pore structure can be visualized with clear identification of resolved pores and unresolved regions.
➡️ Fluid Flow Vectors: It is now possible to render local fluid flow vectors throughout the network. This directly visualizes preferential flow paths, stagnant regions, and flow tortuosity.

A key application of these tools is the analysis of flow in heterogeneous media, the main subject of the multiphase pore network models of GeoSlicer. For instance, the discontinuity of high-magnitude flow vectors in regions with significant unresolved porosity serves as a strong indicator that fluid percolation occurs through pathways with both the resolved unresolved porosity. This is particularly relevant for the characterization of complex systems like carbonates.

#GeoSlicer #DigitalRockPhysics #PoreNetworkModeling #OpenSource #Geoscience #DataVisualization #DigitalRock #ComputationalScience

We are proud to share that Ingrid Bertin, Ph D. represented LTrace Geosciences at the GEOENG Petroleum UNICAMP 2025 conference!

She delivered a short course on GeoSlicer, our open-source AI platform for Digital Rock images, showcasing how technology can accelerate insights in rock physics and reservoir characterization.

A special thanks to Ingrid Bertin, Ph D., SPE Unicamp Student Chapter, Najlah Zeitoum, MSc and Tania Casas. We also thank everyone who joined and participated in the course — your engagement and questions made it a great experience!

#DigitalRock #GeoSlicer #AI #Geosciences #opensource

We present an exciting application of GeoSlicer: Microfluidics.
In this study, we extracted a pore network from a 2.5D image (6000 × 6000 × 15 voxels) and performed one-phase and two-phase flow simulations, with all processes running in just a few minutes.
These are the first steps in a research collaboration with Prof. Fabiano G. Wolf from LabMicro, Universidade Federal de Santa Catarina.
Looking ahead, this workflow can potentially be applied to:

⚙️ Chip design – permeability prediction and design optimization prior to fabrication.
⚙️ Post-fabrication validation – comparing experimental results with pore-network simulations for model calibration and verification of the Valvatne (2004) model.

This study highlights how digital rock physics methodologies can be adapted to microfluidic systems, providing an open-source pathway that links chip design, characterization, and multiphase flow modeling.

GeoSlicer is an open source platform for digital rock physics. Check out our github for more details and to download the latest version.

#Geosciences #GeoSlicer #DigitalRock #PorousMedia #Conference

by Rafael Arenhart and team, Giovanni Formighieri Robim Pacheco Rômulo Cenci

It was a pleasure to connect with so many colleagues in the field. 🤝

Our team had the opportunity to present a two-day short course on Geoslicer 💻, our open-source platform for digital rock physics: https://lnkd.in/dZPv29KE Márcio Valério Weck Pereira covered the software's basic functions, and Rafael Arenhart presented the Pore Network Modeling (PNM) modules. Thanks to everyone who attended the sessions.

Rafael Arenhart also presented more technical details from our published work, "Wettability index simulated behavior on multiscale pore network models applied to complex carbonates," offering a deeper look into our PNM module. 🔬

We also presented two posters, one entitled as "Smart-segmenter" written by Rômulo Cenci and presented by Robim Pacheco S. and Giovanni Formighieri 📊, and Leandro Passos de Figueiredo presented a poster about Aspect ratio in rock physics models using digital rock images. The work is part of the PHD thesis written by Luiz Eduardo.

A sincere thank you to all the attendees and to the conference committee for a well-organized event. It was a few intense days filled with valuable learning and networking. 🙏

Special thanks for Ingrid Bertin, Ph D., Anderson Camargo Moreira, iara mantovani, and professor celso fernandes, and all LTrace team that participated in the event.

InterPore - International Society for Porous Media

#LTrace #Geosciences #InterPore #Geoslicer #DigitalRockPhysics #PoreNetworkModeling #PNM #OpenSource #Conference