Sorry, you need to enable JavaScript to visit this website.
  • Home
  • Resources
  • Technical Content
  • Machine learning for predicting stochastic fluid and mineral volumes in complex unconventional reser ... Machine learning for ...
Industry Article

Machine learning for predicting stochastic fluid and mineral volumes in complex unconventional reservoirs

Back to Technical Content
A machine learning workflow can quickly, and accurately, predict mineralogy, porosity and saturation in multiple wells to better understand productive layers in unconventional oil reservoirs.
Download Resource

Publications

World Oil Journal

Authors

FRED JENSON, CHIRANJITH RANGANATHAN, SHI XIUPING and TED HOLDEN, CGG GeoSoftware

Month

April

Copyright

© 2021 by Gulf Publishing Company
Share Link
LinkedIn icon Facebook icon Twitter icon