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Fernando Bordignon
Co-Founder at Ltrace Geosciences
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Work Experience
Co-Founder
2017 - Present · 7 years and 11 months
Company Details
11-50 Employees
LTrace is a startup formed by physicists and computer scientists with expertise in developing solutions for stochastic seismic inversion and deep learning for Digital Rock Analysis. Seismic inversion is a powerful tool for predicting reservoir properties. Our methodology is based on Bayesian methods, providing a rich analysis of the uncertainty in the reservoir characterization process, helping to reduce the risks of well drilling and maximize oil production. In a R&D partnership with Petrobras, LTrace is developing new Deep Learning techniques for segmentation and identify pretophysical properties and lithofacies from CT and micro-CT. See more about R&D projects www.ltrace.com.br/research About our products www.ltrace.com.br/seismic-inversion We are also experienced in digital rocks, where we are developing GeoSlicer. GeoSlicer is being developed in a cooperation agreement between LTrace and Petrobras. The software consists of an integrated computational platform for visualizing and processing digital rocks in all scales. It is based on the opensource platform called 3DSlicer. The first version includes several tools for processing and orienting multiple cores, extraction and visualization of profiles, 3D textural segmentation, pore/grain network analysis and upscaling of plug properties to the well log scale. GeoSlicer aims to meet the demands of geoscientists from different areas and expertises, from petrophysics to geological interpretation. Within the context of digital transformation, it implements different methodologies with machine learning bringing data-science to geoscience and it allows the remote access to digitized rocks facilitating working remotely from home-offices or anywhere else.
Year Founded
2017
Social Media
Linkedin
Industry
Oil and Gas
HQ Location
SC-401, Saco Grande Km 4 Florianópolis, Santa Catarina 88032-000, BR
Keywords
GeofísicaInversão SísmicaGeoestatísticaMachine LearningDeep Learningand DigitalRock
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