Work on Deep Learning for micro-CT analysis accepted for EAGE 2019

23 Apr , 2019 AI,Deep Learning,event,Machine Learning,paper

Work on Deep Learning for micro-CT analysis accepted for EAGE 2019

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 abstract is entitled “Deep Learning for Grain Size Distribution Estimation in micro CT”. The work is being developed in partnership with Petrobras under a Cooperation Term that is about to start, in Q2 of 2019.

The poster will be presented at the following session:
Poster: Digital Rock Physics
Thursday, Jun 6, 2019
8:30 AM – 12:10 PM
ePosters 07
Join us on one of the major conferences for G&G in the world.


1 Response

  1. Adel says:

    Congratulations Team!

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