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

LTrace Geoscience is proud to be a sponsor of this fantastic event. ⭐

Congrats for our tech leader Márcio Valério Weck Pereira Weck, for his great talk today! 👏 He showcased our powerful Big Image GeoSlicer Module and our solutions for handling super high-resolution data.

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

The conversation continues tomorrow! ➡️ Come visit our booth to see our tech in action and chat with the team. We'd love to meet you!

See you there! 👋

InterPore - International Society for Porous Media

#LTraceGeoscience #InterPore #InterPoreBrazil #Geoscience #Innovation #DataVisualization #GeoSlicer #DigitalRock #PorousMedia #Conference

LTrace is proud to be a sponsor of this key event for the porous media community. We are looking forward to a week of innovation, learning, and connection on our beautiful Island.

Will you be there? Stop by our booth to meet our team, see our latest solutions in action, and discuss how we can tackle your challenges together.

See you next week in Floripa!

The event will happen at Universidade Federal de Santa Catarina

#InterPore #InterPoreBrazil #PorousMedia #Geoscience #Engineering #LTrace #Sponsor #Florianopolis #Innovation

We're thrilled to announce a major software update focused on making our platform more powerful, robust, and intuitive for you.
This release introduces a completely revamped AI-powered toolkit, expands data compatibility, and lays the groundwork for availability on the Microsoft Azure Marketplace.

We remind that GeoSlicer is an open-source platform for digital rock physics. Check out our repository for more info: https://github.com/petrobras/GeoSlicer

Here are some of the key highlights:

🧠 Smarter AI Segmentation: We've overhauled our AI segmentation tools, merging modules for a cleaner, more complete interface. We also added a new unsupervised segmentation method, allowing you to segment complex 2D images without needing pre-annotated data.

☁️Microsoft Azure Marketplace Ready: We've setup an image for Azure, a critical milestone in making our software accessible to even more users through the Azure Marketplace.

↔️ Expanded Data Support: Your workflow just got more flexible! We've added support for saving/editing DLIS files and enhanced our integration with NetCDF and TESCAN metadata.

🔬 Enhanced Multiscale & Simulation Tools: We've introduced automatic resizing for multiscale image generation and added a critical cutoff parameter to the Multiscale PNM pressure curve model for more precise analysis.

Thank you to the entire LTrace team for their outstanding work and to TESCAN for the partnership.

#DigitalRockPhysics #Geoslicer #OpenSource #MicroCT

📢 We’re excited to share our multiscale pore network module, available in Geoslicer, our open-source digital rocks platform at LTrace.
These new developments enable pore-scale one- and two-phase flow simulations on porous media images containing both resolved and unresolved porosity.

Our approach builds on the concepts introduced by Bultreys (2015) and Xu (2021), which describe macro- and microporous domains as separate network elements. We extend this by using a bundle of capillaries model to represent subscale porosity, calibrated using experimental data or scenario-testing assumptions for the subresolution pore size distribution.

Download the latest version of Geoslicer here:
https://lnkd.in/d9MUVUC9

🧠 Key features of the new module include:
✅Simulation of absolute permeability, relative permeability, drainage/imbibition cycles, and Buckley-Leverett-based production prediction
✅Ability to handle networks with millions of pores in absolute permeability simulations, and over a hundred thousand in relative permeability simulations, depending on available hardware

📄 References:
Bultreys T, Hoorebeke , L V, Cnudde V Multi-scale, micro-computed tomography-based pore network models to simulate drainage in heterogeneous rocks, Advances in Water Resources 78, 2015
Xu Z, Lin M, Jiang W, Ji L, Cao G Rapid multiscale pore network modeling for drainage in tight sandstone, Journal of Petroleum Science and Engineering 204, 2021
Arenhart, R., Bordignon, F., Figueiredo, L., Pereira, M., Formighieri, G., Pacheco, R., Cenci R., Melo, R., & Surmas, R.. A Multiscale Approach to Pore-Network Two-Phase Flow Simulation Applied to a Carbonate Reservoir. 17th Annual Meeting Interpore, 2025

by Rafael Arenhart, Giovanni Formighieri, Leandro Passos de Figueiredo

#geoslicer #digitalrockphysics #Porenetwork #geosciences