Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
Abstract
Desulfurization, known as the removal of sulfur from oil, is extremely important in the petroleum processing industry and in the environmental protection. Several oil-upgrading processes such as desulfurization and catalysts such as alumina loaded with molybdenum have been proposed to deal with the problem of removing sulfur-containing compounds from light oil. Thus, several parameters are required to be experimentally optimized which demands a...
Paper Details
Title
Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
Published Date
Nov 1, 2018
Volume
120
Pages
57 - 71
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