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 rocks 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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LTrace Geosciences at the GEOENG Petroleum UNICAMP 2025
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., […]
🔬 GeoSlicer in Microfluidics
We present an exciting application of GeoSlicer: Microfluidics.In this study, we extracted a pore network from a 2.5D image (6000 Ă— 6000 Ă— 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 […]
We had a great time at the InterPore Brazil Chapter conference this week
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 đź’», our open-source platform for digital rock physics: https://lnkd.in/dZPv29KE Márcio ValĂ©rio Weck Pereira covered the software’s basic functions, and Rafael Arenhart presented the Pore Network Modeling (PNM) modules. […]