2019 April 8¶
Location: Coors Tech¶
Attending:¶
Iga Jihyun Andy Antoine Bin Julian Bane Thomas
Key takeaways¶
- Tensorflow officially suppports Keras
- Tensorflow has new probablistic and open data distribuition tools
- EDAA is a more formal group for us to potentially present/participate in
- We now have nice, clean, open, RILD well log data from Kansas
- Andy has impressive GAN puns.
Problems¶
- Is 4000 wells enough to properly train a GAN?
- Is Tensorflow’s official embedding of Keras better than Keras?
- What are the unites of the well data?
Comments¶
- Slides for TF updates are on Slack
- Slides for EDAA are on Slack
- Well log data for GAN (open data cleaned by Andy)
- 4000 wells
- 400 - 4000 ft
- 1 ft spacing in depth
- x-y coordinates of wells not in file, but available
- Data is RILD (MT-like)
- RILD ranges over several orders of magnitude
- We should use log(RILD) as inputs
- All well logs are from Kansas
- “Let’s build the best GAN we can.” - Andy
- “All we need is a good G.” - Andy
- Downsampled by linear averaging every 60 ft.
- 3600 samples per well (full resolution)
- 60 samples per well (downsampled)
- 100 MB file (full resolution link pending)
- 2 MB file (downsampled on Slack)
- Meeting didn’t go as planned timeline, too much in the meeting
Topics of discussion for next week¶
- Breaking into three groups for pair programming of GAN
- Two groups for network structure: Andy, Bin, Julian, Iga, Jihyun
- One group for data viz: Thomas + Bane