Last week, teams from LTrace Geosciences and Equinor gathered in Bergen, Norway, together with our partners at Simula Research Laboratory, for an energizing workshop marking the official start of the new R,D&I ANP project: Assisted Borehole Image Interpretation with Machine Learning (AMaBILI).This initiative—executed by LTrace in partnership with Equinor Brazil—aims to push the boundaries of […]
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.
The Brazilian Geophysical Society published an edition of its bulletin focused on machine learning.
Join us at the joint SBGf and SEG workshop on machine learning held at Rio de Janeiro on May 15th and 16th 2018.