Support-vector-regression machine technology for total organic carbon content prediction from wireline logs in organic shale: A comparative study

Title
Support-vector-regression machine technology for total organic carbon content prediction from wireline logs in organic shale: A comparative study
Authors
Keywords
Organic shale, Support vector machine for regression (SVR), Total organic carbon (TOC), Kernel functions
Journal
Journal of Natural Gas Science and Engineering
Volume 26, Issue -, Pages 792-802
Publisher
Elsevier BV
Online
2015-07-16
DOI
10.1016/j.jngse.2015.07.008

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

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