April 2021
Features

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

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.
Fred Jenson Chiranjith Ranganathan Shi Xiuping Ted Holden

Please Log IN view this article.

Not yet a subscriber? For just $149/year, you can claim unlimited access to World Oil's content.*

Each subscription includes: 

  • Unlimited access to all content on WorldOil.com
  • Exclusive drilling forecast data, by state, country and region
  • State-by-state results from the survey of U.S. operators
  • Updated producing oil and gas well figures, by state
  • Exclusive access to World Oil's conference presentations
  • Proprietary data tables covering casing, tubing, drill bits and fluids
  • Exclusive World Oil maps (published three times per year)
  • Daily coverage of industry news and developments\
  • Industry whitepapers, webcasts, videos and supplements.

Start your subscription today! 

 

 

*Access will be granted the next business day.
Connect with World Oil
Connect with World Oil, the upstream industry's most trusted source of forecast data, industry trends, and insights into operational and technological advances.