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Preliminary sandstone reservoir depth prediction with pre-processing data using principle component analysis (PCA) and partial least square (PLS) based on well logging data attribute

Autor: Totok R. Biyanto, E. Utami, R. F. Rizki, Mauridhi Hery Purnomo

Publikováno v: Journal of Physics: Conference Series. 1517:012086

Sandstones containing 60% of oil or gas because of porosity and permeability. The conventional method required sandstones predicted with complete data. This study used neural networks to determine the depth of sandstones and predict incomplete variab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c149b0c1e581c24f2c83cfcf33cdcfe
https://doi.org/10.1088/1742-6596/1517/1/012086

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