Using PCA and PLS on publicly available data to predict the extractability of hydrocarbons from shales

标题
Using PCA and PLS on publicly available data to predict the extractability of hydrocarbons from shales
作者
关键词
Statistical analysis, Principal Component Analysis, Partial Least Squares Regression, Predictive modeling, Hydraulic fracturing for hydrocarbon recovery, Nanopores in shales
出版物
Journal of Natural Gas Science and Engineering
Volume 44, Issue -, Pages 109-121
出版商
Elsevier BV
发表日期
2017-04-25
DOI
10.1016/j.jngse.2017.04.018

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