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 […]
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 […]
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 […]
📢 Generated digital rock model with 3344×1360×8304 voxels 📢 We are thrilled to share our latest results from the MUSA project, where we integrate microCT and coreCT data using a novel multiscale approach!Based on CSinGAN (https://lnkd.in/dgx4D-WY), a generative model, we introduced the coreCT conditioner only at the generation stage. This ensures that unresolved phases in […]
Today, LTrace conducted a short course for Petrobras on the Thin Section environment of the GeoSlicer software. Our mentor for the course was Márcio Valério Weck Pereira Among its many capabilities, we applied our AI-driven segmentation algorithm for thin sections, enabling the identification of both minerals and textures (GIF below). 🧠💡 🔹 Reminder: GeoSlicer is […]
At the end of last year LTrace was selected at a contest promoted by PETROBRAS and SEBRAE called “Petrobras connections for innovation – Startup module”
ai, history matching, kalman filter, machine learning, neural networks, ocean plugin, petrel, R&D, reservoir engineering, seismic
Join us at the SEG conference during the week of 15-20 September. We will be presenting our new developments using deep learning for rock properties prediction from micro CT rock images.
Join us at the SBGf conference during the week of 19-22 of August. We will be presenting our new developments using deep learning for grain size estimation from micro CT rock images.
LTrace is proud to announce that it will be presenting a poster detailing the methodology for grain size distribution estimation on micro CT using Deep Learning.
Join us at the joint SBGf and SEG workshop on machine learning held at Rio de Janeiro on May 15th and 16th 2018.