News

📊 Multiscale Pore Network Model in Geoslicer

15 Jul , 2025 Digital rock physics,GeoSlicer,Pore Network Model

📊 Multiscale Pore Network Model in Geoslicer

📢 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 […]

🔍GeoSlicer Workshop at CEPETRO, Unicamp🔍

8 Jul , 2025 AI,Deep Learning,Digital rock physics,GeoSlicer

🔍GeoSlicer Workshop at CEPETRO, Unicamp🔍

Last week, LTrace had the pleasure of delivering a hands-on workshop on the GeoSlicer Multiscale Module for the MGR research group at Unicamp. 🔍About the Course: GeoSlicer — From Basic to Multiscale Image GenerationThe workshop was designed to train researchers in using GeoSlicer, focusing on the multiscale composition of image logs and coreCT data.Recently, the GeoSlicer interface was […]

🚀 Most Downloaded Article List – Geophysics Journal! 🏆

4 Apr , 2025 Bayes,Geophysics,Geostatistics,Seismic Inversion

🚀 Most Downloaded Article List – Geophysics Journal! 🏆

Thrilled to share that two articles co-authored by our co-founder Leandro Passos de Figueiredo have been featured among the most downloaded papers in the prestigious journal Geophysics! This recognition highlights the quality, relevance, and impact of the work, and the excellent collaboration culture we’ve nurtured at LTrace over the years. 👏 Congratulations to all the […]

🌍 Pleased to share our progress in history matching with seismic data assimilation 🚀

2 Apr , 2025 AI,Deep Learning,History Matching

🌍 Pleased to share our progress in history matching with seismic data assimilation 🚀

We’ve been investigating how AI can support the Ensemble Smoother with Multiple Data Assimilation (ES-MDA) to improve history matching and reservoir model updates. By using AI to reduce seismic data volume, we’ve been able to save time while achieving results comparable to the standard ES-MDA approach. 📊 Key Achievements: ✅ Reduced seismic data using pre-trained […]