Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation

标题
Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation
作者
关键词
Water saturation, principal component analysis, least square support vector machine, ANFIS-subtractive clustering method
出版物
COMPUTERS & GEOSCIENCES
Volume -, Issue -, Pages 104555
出版商
Elsevier BV
发表日期
2020-07-29
DOI
10.1016/j.cageo.2020.104555

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create 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