LTrace Geosciences -
Innovative reservoir characterization
Modeling uncertainty efficiently
LTrace Inversion Suite
The LTrace Inversion Suite incorporates essential modules for the quantitative interpretation workflow. The suite represents an evolution of our established Bayesian Linearized Inversion, now encompassing a full set of modules designed to streamline the process from data preparation to result validation. By providing efficient solutions for estimating elastic properties like velocities, impedances, and density, it […]
R,D&I Projects
LTrace Geosciences is a leader in research, development, and innovation for the energy sector. Since 2018, we have specialized in transforming complex academic research into practical, high-impact commercial solutions. Our core expertise spans a wide range of fields, including Artificial Intelligence, Digital Rock Physics, History Matching, and Quantitative Seismic Interpretation. In every project, our focus […]
GeoSlicer
GeoSlicer is a free and open source AI digital rock platform being developed in a cooperation agreement between LTrace, Petrobras and Equinor. The software consists of an integrated computational platform leveraging AI tools for processing digital rocks in all scales. It is based on the opensource platform called 3DSlicer. The software includes several tools for processing […]
Seismic quantitative interpretation
Trace provides comprehensive services in Quantitative Seismic Interpretation and Reservoir Characterization, guiding projects from raw data to seismic reservoir models. Our distinction lies in a fully integrated, probabilistic workflow that ensures robust uncertainty quantification at every stage, reducing risk and informing better development decisions. Our End-to-End Workflow Our methodology is grounded in a sequence of […]
Digital rock analysis
Digital rock physics (DRP) is an innovative approach that uses rock images, like X-ray tomography, to create detailed computational models of rock samples. From these digital models, key petrophysical properties such as porosity and permeability are calculated through numerical simulation. This technique offers a powerful and often faster alternative to traditional laboratory experiments for characterizing […]
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Very special visit in Florianópolis!
Juliana Finoto Bueno, Bruno Honório, and Fernanda Oliveira Hoerlle from Equinor Brazil joined us for the official kickoff meeting of the AMaBILI project (Assisted Machine-Learning for Borehole Image Log Interpretation). 🤝💻 Hosting this gathering at ACATE – Associação Catarinense de Tecnologia (Catarinense Technology Association) made the experience even more meaningful. It’s exactly where LTrace was […]
Upcoming hands-on training at InterPore2026
Conference Course #4: Multiscale Pore Network Simulation with GeoSlicerJoin Rafael Guntzel Arenhart (LTrace Geosciences) for a practical introduction to Pore Network Modelling using GeoSlicer—an open-source platform for advanced geoscience analysis. 🗓️ Monday, 18 May 2026🕑 14:00–17:00 (half-day)📍 La Cité Nantes Congress Centre (conference venue)👉 Register now: https://lnkd.in/dPkQG-gk 🚀 What you’ll learn:Micro-CT workflow for porous rock samples: visualization and […]
Trace is an exhibitor at the InterPore – International Society for Porous Media Annual Meeting
We’re excited to share that LTrace is participating as an exhibitor at the InterPore – International Society for Porous Media Annual Meeting in Nantes 🇫🇷🇧🇷🌍📅 May 19–22, 2026 InterPore brings together a world-class community working on porous media, from fundamental physics to applied geoscience and engineering. Being there as an exhibitor is a great opportunity […]