Machine Learning and Reservoir Sedimentological Models

Machine Learning and Reservoirs

We presented our work that uses machine learning to improve oil and gas reservoir sedimentological models. Here are the details:

Workshop on Deep Water Sedimentation

I took part of the 2018 Workshop on Deep Water Sedimentation. Below you can find the list of works I presented:

  • Javier Iparraguirre, Mariano Arcuri, Carlos Zavala, Mariano Di Meglio y Agustin Zorzano. Quantification of Net-To-Gross and Oil Impregnation in Bioturbated Heterolithic Clastic Reservoirs.
  • Javier Iparraguirre, Carlos Zavala, and Mariano Arcuri. From a Core to an Oil Field: Machine Learning Applied to Sedimentological Models.
  • Javier Iparraguirre, Mariano Arcuri, Carlos Zavala, Mariano Di Meglio y Agustin Zorzano. Lithohero: Creating comprehensive sedimentary logs from cores and outcrops.
WDWS 2018

More results from our online video summarization algorithm

In this page you will find more results from our algorithm that performs online video summarization. The method is called LFOVS (Local Features Online Video Summarization). If you use the data, please cite the publication listed below (BibTex code):

@article{iparraguirre2014online,
title={Online Video Summarization Based on Local Features},
author={Iparraguirre, Javier and Delrieux, Claudio A},
journal={International Journal of Multimedia Data Engineering and Management (IJMDEM)},
volume={5},
number={2},
pages={41--53},
year={2014},
publisher={IGI Global}
}

video summarization results
video summarization results

Debian GNU-Linux on 8-core UltraSPARC T2 Processor

First of all, you got to boot from de CD-ROM. You got to deal with ILOM
> set /HOST/bootmode script="setenv auto-boot? false"
Set 'script' to 'setenv auto-boot? false'

-> set /HOST send_break_action=break
Set 'send_break_action' to 'break'

-> start /SP/console
Are you sure you want to start /SP/console (y/n)? y
Serial console started.  To stop, type #.
Once you reach the OK menu:
{0} ok boot cdrom
From that point, you install Debian as usual 🙂
More data at the HPC course I teach
 
We are running Debian GNU/Linux on a Sun SPARC Enterprise T5120 Server. The machine is powered by 8-core UltraSPARC T2 Processor. The machine supports 64 hardware threads. Lisandro helped me in this project.
Take a look at the output of htop command. We got a visualization problem 😉
Debian on ultraSPARC
64 threads and htop