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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LTrace at ICE 2025!
Last week, Ingrid Bertin, Ph D. represented LTrace at the American Association of Petroleum Geologists (AAPG) International Conference & Exhibition (ICE) 2025 in Rio de Janeiro. She presented the work titled “Integration of multi-resolution X-ray microCT images using machine learning and geostatistical approaches.” The presentation demonstrated how machine learning and geostatistics can be used to […]
BIG NEWS for Petrel users!
Our Bayesian Linearized Inversion (BLI) plugin is now fully updated and compatible with Petrel versions 2022, 2023, and 2024. Stop the clock on your seismic inversion workflows. The BLI plugin allows you to accelerate reservoir characterization projects without compromising on quality. Key benefits include:⚡ Unmatched Speed: Achieve results 6-10x faster than traditional Constrained Sparse Spike […]
PNM data visualization
📢LTrace is excited to announce a data visualization update to our open-source digital rock platform, GeoSlicer! 🚀 We have updated the visualization capabilities in GeoSlicer for single-phase absolute permeability simulations in Pore Network Models (PNMs). While the absolute permeability values are the primary output of the simulations, visual analysis of flow data provides essential context […]