A machine learning methodology for multivariate pore-pressure prediction

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A machine learning methodology for multivariate pore-pressure prediction
Authors
Keywords
Pore-pressure prediction, Geomechanics, Multivariate model, Machine learning, Random forest
Journal
COMPUTERS & GEOSCIENCES
Volume -, Issue -, Pages 104548
Publisher
Elsevier BV
Online
2020-07-26
DOI
10.1016/j.cageo.2020.104548

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.