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Monitoring of technological environments at petrochemical plants as a means of ensuring their safe operation
Author(s) -
R. N. Bahtizin,
AUTHOR_ID,
С. Н. Зубин,
А.Б. Лаптев,
Д. А. Лаптев,
Д. Е. Бугай,
А. В. Голубев,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
elmi əsərlər
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.409
H-Index - 11
eISSN - 2218-8622
pISSN - 2218-6867
DOI - 10.5510/ogp2021si100520
Subject(s) - corrosion , petrochemical , environmental science , evaporation , water cooling , corrosion monitoring , pollutant , pipeline transport , environmental engineering , chlorine , water treatment , materials science , metallurgy , chemistry , meteorology , engineering , mechanical engineering , physics , organic chemistry
The cooling recycled water of petrochemical enterprises is characterized by high corrosion activity, unstable composition and, due to the evaporation of water in cooling towers, a constant increase in the concentration of dissolved salts, suspended particles and organic pollutants. Some of the salts formed by divalent metal ions fall out in the form of deposits, and the water is satu-rated with chlorine, sulfate, phosphate, and carbonations and becomes corrosive. At the same time, the corrosion activity of reservoir water varies widely depending on the saturation of cer-tain ions and other ingredients. It is established that monitoring the composition of recycled water and determining the corrosion rate of equipment and pipelines, carried out within 1-2 months, allow us to build a regression model of the dependence of the corrosion rate on the technical parameters of water, with which we can accurately calculate the values of the corrosion rate on the evaporation coefficient. Monitoring of technological environments and optimization of their composition through mathematical modeling will significantly improve the safety of equipment and pipelines operation at oil refining enterprises. Keywords: corrosion inhibitor; scale inhibitor; biocide; water circulation system; evaporation coefficient; monitoring; cooling water; regression model.

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