We’re happy to share the productive year LTrace had in 2024. Check out the contributions our team made across scientific journals and conferences:
📚 Scientific Journals
- Ensemble Smoother with Fully Convolutional VAE for Seismic Facies Inversion – Computers & Geosciences
- GeosPIn: A MATLAB Library for Geostatistical Petrophysical Inversion – Geophysics
- Bayesian Joint Inversion of Seismic and Electromagnetic Data for Reservoir Litho-Fluid Facies Including Geophysical and Petrophysical Rock Properties – Geophysics
🎤 Conferences
- Feature Extraction in Time-Lapse Seismic Using Deep Learning for Data Assimilation – SPE Journal
- Multiscale Analysis of Carbonate Rocks for the Digital Rocks Platform GeoSlicer, an Open Source Plugin – Rio Oil & Gas 2024
- Application of MPS to Image Log and CoreCT Images Inpainting – 85th EAGE Annual Conference
- Petrophysical Inversion Using the IGMN Neural Model with Uncertainty Propagation – Third Conference on Seismic Inversion
We’re proud of these milestones and remain committed to advancing innovation in geosciences.
A special thanks to all the LTrace authors involved in these publications, Leandro Passos de Figueiredo, Rodrigo Exterkoetter, Fernando Bordignon, Ingrid Bertin, Ph D., Gustavo Rachid Dutra, José VinÃcius Boing de Souza, Diego Emilio Zanellato, Marcel Mei.
We’re happy to share the productive year LTrace had in 2024. Check out the contributions our team made across scientific journals and conferences:
📚 Scientific Journals
- Ensemble Smoother with Fully Convolutional VAE for Seismic Facies Inversion – Computers & Geosciences
- GeosPIn: A MATLAB Library for Geostatistical Petrophysical Inversion – Geophysics
- Bayesian Joint Inversion of Seismic and Electromagnetic Data for Reservoir Litho-Fluid Facies Including Geophysical and Petrophysical Rock Properties – Geophysics
🎤 Conferences
- Feature Extraction in Time-Lapse Seismic Using Deep Learning for Data Assimilation – SPE Journal
- Multiscale Analysis of Carbonate Rocks for the Digital Rocks Platform GeoSlicer, an Open Source Plugin – Rio Oil & Gas 2024
- Application of MPS to Image Log and CoreCT Images Inpainting – 85th EAGE Annual Conference
- Petrophysical Inversion Using the IGMN Neural Model with Uncertainty Propagation – Third Conference on Seismic Inversion
We’re proud of these milestones and remain committed to advancing innovation in geosciences.
A special thanks to all the LTrace authors involved in these publications, Leandro Passos de Figueiredo, Rodrigo Exterkoetter, Fernando Bordignon, Ingrid Bertin, Ph D., Gustavo Rachid Dutra, José VinÃcius Boing de Souza, Diego Emilio Zanellato, Marcel Mei.
At the end of last year LTrace was selected at a contest promoted by PETROBRAS and SEBRAE called "Petrobras connections for innovation - Startup module"
The project entitled "Deep learning for 4D seismic assimilation on reservoir models" proposes the use of convolutional neural networks for improving the level of quantitative information assimilated from 4D seismic data on history matching algorithms. The project has started this month with a total duration of 12 months. In this brief period the team hopes to deliver a proof of concept as a Petrel plugin for G&G users of Petrobras to test and give us feedback more promptly. We will be using the Ocean for Petrel framework to develop the plugin, integrating it with a Petrobras in-house software solution for history matching called BR-Kalman.
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At the end of last year LTrace was selected at a contest promoted by PETROBRAS and SEBRAE called "Petrobras connections for innovation - Startup module"
The project entitled "Deep learning for 4D seismic assimilation on reservoir models" proposes the use of convolutional neural networks for improving the level of quantitative information assimilated from 4D seismic data on history matching algorithms. The project has started this month with a total duration of 12 months. In this brief period the team hopes to deliver a proof of concept as a Petrel plugin for G&G users of Petrobras to test and give us feedback more promptly. We will be using the Ocean for Petrel framework to develop the plugin, integrating it with a Petrobras in-house software solution for history matching called BR-Kalman.
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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.
Our CEO Fernando Bordignon will be presenting a poster on our work in partnership with Petrobras using deep learning for digital rocks: Deep 3D convolutional neural network applied to CT segmented image for rock properties prediction.
September 18, 2019 from 3:55 PM to 4:20 PM
Location: Poster Station 2 L, Exhibit Hall 1
App link https://lnkd.in/dvTNeQu
More about SEG Annual Meeting
See more about our R&D projects in www.ltrace.com.br/research/
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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.
Our CEO Fernando Bordignon will be presenting a poster on our work in partnership with Petrobras using deep learning for digital rocks: Deep 3D convolutional neural network applied to CT segmented image for rock properties prediction.
September 18, 2019 from 3:55 PM to 4:20 PM
Location: Poster Station 2 L, Exhibit Hall 1
App link https://lnkd.in/dvTNeQu
More about SEG Annual Meeting
See more about our R&D projects in www.ltrace.com.br/research/
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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.
We will be presenting the paper entitled "Deep Learning for Grain Size and Porosity Distributions Estimation on micro-CT Images" on August 21st 17h00 at the Recreio room during the session "MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE"
Check out the official program here
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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.
We will be presenting the paper entitled "Deep Learning for Grain Size and Porosity Distributions Estimation on micro-CT Images" on August 21st 17h00 at the Recreio room during the session "MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE"
Check out the official program here
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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.
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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.
]]>
The Brazilian Geophysical Society published an edition of its bulletin focused on machine learning.
The issue featured an extensive interview with professionals, professors and specialists in Geophysics regarding the application of Machine Learning in the area. LTrace co-founder Dr. Fernando Bordignon issued his insights at the matter.
Check out the full issue here in Portuguese only: SBGf Boletim 104
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The Brazilian Geophysical Society published an edition of its bulletin focused on machine learning.
The issue featured an extensive interview with professionals, professors and specialists in Geophysics regarding the application of Machine Learning in the area. LTrace co-founder Dr. Fernando Bordignon issued his insights at the matter.
Check out the full issue here in Portuguese only: SBGf Boletim 104
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LTrace will be presenting an oral session about the impacts of seismic inversion parameters on pore volume and connectivity.
Dr. Leandro Passos de Figueiredo will present the paper entitled "Impact of seismic-inversion parameters on reservoir pore volume and connectivity" at the AVOSI 1 Case Studies and Workflows oral session. It will be held on Monday, 15 October 2018 at room 206A. Mark it on your calendar so you do not miss it ✓
The session is detailed on page 42 of the official program (page 8 of the PDF file).
LTrace will be at the exhibition during all the 5 days of the event with a live demo of our technology. If you are interested at Bayesian Seismic Inversion, please schedule a meeting during the period of the event. Dr. Leandro and Dr. Fernando Bordignon will be at your disposal, you can contact them at [email protected] or [email protected]]]>LTrace will be presenting an oral session about the impacts of seismic inversion parameters on pore volume and connectivity.
Dr. Leandro Passos de Figueiredo will present the paper entitled "Impact of seismic-inversion parameters on reservoir pore volume and connectivity" at the AVOSI 1 Case Studies and Workflows oral session. It will be held on Monday, 15 October 2018 at room 206A. Mark it on your calendar so you do not miss it ✓
The session is detailed on page 42 of the official program (page 8 of the PDF file).
LTrace will be at the exhibition during all the 5 days of the event with a live demo of our technology. If you are interested at Bayesian Seismic Inversion, please schedule a meeting during the period of the event. Dr. Leandro and Dr. Fernando Bordignon will be at your disposal, you can contact them at [email protected] or [email protected]]]>
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.
The authors propose a generalized methodology to define a joint distribution of elastic and petrophysical properties, based on a rock-physics model parametrized by facies. The distribution is used as a prior model in a Bayesian framework to jointly estimate the facies, the elastic and the petro-physical properties of the subsurface.
The paper was written in cooperation with professor Dr. Dario Grana, from the University of Wyoming, professors Dr. Mauro Roisenberg and Dr. Marcio Santos, from UFSC, and Bruno Rodrigues from Petrobras.
Check it out at the SEG Digital Library]]>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.
The authors propose a generalized methodology to define a joint distribution of elastic and petrophysical properties, based on a rock-physics model parametrized by facies. The distribution is used as a prior model in a Bayesian framework to jointly estimate the facies, the elastic and the petro-physical properties of the subsurface.
The paper was written in cooperation with professor Dr. Dario Grana, from the University of Wyoming, professors Dr. Mauro Roisenberg and Dr. Marcio Santos, from UFSC, and Bruno Rodrigues from Petrobras.
Check it out at the SEG Digital Library]]>
Join us at the joint SBGf and SEG workshop on machine learning held at Rio de Janeiro on May 15th and 16th 2018.
Rodrigo will be presenting part of his masters thesis work on channel connectivity reconstruction with convolutional neural nets. The final technical program is available here
The workshop is sponsored by NVIDIA, Petrobras and other major players at the Oil and Gas industry, see more at the official website.]]>Join us at the joint SBGf and SEG workshop on machine learning held at Rio de Janeiro on May 15th and 16th 2018.
Rodrigo will be presenting part of his masters thesis work on channel connectivity reconstruction with convolutional neural nets. The final technical program is available here
The workshop is sponsored by NVIDIA, Petrobras and other major players at the Oil and Gas industry, see more at the official website.]]>
LTrace Geophysical Solutions is proud to announce our first product, The Bayesian Linear Inversion (BLI) plugin for OpendTect.
Features:
- Deterministic elastic inversion for estimating Velocities or Impedances and Density.
- Runs 6x to 10x faster than a Constrained Sparse Spike inversion.
- Horizontal correlation.
- Quality Control (QC) for comparing the inversion results with well log data and iterative parameters adjustment.
- Accelerated by CUDA on NVIDIA® GPUs.
LTrace Geophysical Solutions is proud to announce our first product, The Bayesian Linear Inversion (BLI) plugin for OpendTect.
Features:
- Deterministic elastic inversion for estimating Velocities or Impedances and Density.
- Runs 6x to 10x faster than a Constrained Sparse Spike inversion.
- Horizontal correlation.
- Quality Control (QC) for comparing the inversion results with well log data and iterative parameters adjustment.
- Accelerated by CUDA on NVIDIA® GPUs.