Deep Learning

🔍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 […]

🌍 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 […]

🚀 Accelerating History Matching with AI & ES-MDA 🎯🔬

11 Mar , 2025 AI,Deep Learning,Geophysics,Geostatistics,History Matching

🚀 Accelerating History Matching with AI & ES-MDA 🎯🔬

4D Seismic monitoring provides crucial insights for reservoir management, but its high dimensionality and processing complexity significantly impact the efficiency of inversion problems like history matching with Ensemble Smoother with Multiple Data Assimilation (ES-MDA). 🔍 The Challenge:4D seismic data requires intensive processing, which can degrade assimilation performance and slow down model updates. 💡 Our Solution:By […]