We’re happy to share the productive year LTrace had in 2024. Check out the contributions our team made across scientific journals and conferences:
ai, deeplearing, digitalrock, machine learning, news, reservoir engineering
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.
LTrace will be presenting an oral session about the impacts of seismic inversion parameters on pore volume and connectivity.
LTrace recently co-authored a new paper at one of the most respected journals of the area: SEG’s GEOPHYSICS. Dr. Leandro Figueiredo, our co-founder was the first author.
Join us at the joint SBGf and SEG workshop on machine learning held at Rio de Janeiro on May 15th and 16th 2018.
LTrace Geophysical Solutions is proud to announce our first product, The Bayesian Linear Inversion (BLI) plugin for OpendTect.