METHOD OF PROCESSING OIL SLUDGE GENERATED AT OIL REFINERIES IN TURKMENISTAN

The paper presents the results of studying the chemical composition of some samples of oil sludge produced at oil refineries of Turkmenistan. The study of oil sludge composition of Turkmenbashi complex of oil refineries (TCOR) and Seydi oil refinery (SOR) showed the presence of mechanical impurities in them: in samples (TCOR), RVS-No.208 -3.44% and RVS-Nj.216 -4.41%. The content of organic components of oil sludge in these samples, respectively, is as follows: asphaltenes 38.08% and 12.31%; resins 15.06% and 31.18%; oils 43.41% and 52.09%. In the sample RVS-No.246 the content of mechanical impurities 56,48% and oil products 43,52% (including: asphaltenes 2,36%, resins 3,65%, oils 37,51%). The composition of oil sludge sampled in the SOR (from the biological treatment plant - BTP and from the mechanical treatment plant - MTP): in the samples, BTP 62.37-62.92%; and in the sample of MTP 2.03% of mechanical impurities. The content of chemical components of oil sludge in these samples, respectively, is as follows: asphaltenes 1,7 and 7,87%; resins 16,10 and 17,58%; oils 19,45 and 72,52%. The method of processing of oil sludge from TCOR and SOR with gas condensate was studied and for comparison straight-run gasoline and reformate, which are semi-finished products of the enterprises, were used as extractants. As a result of the research, it was concluded that gas condensate used at the plant as an additional raw material can be successfully used as a solvent in the processing of oil sludge. For more complete extraction of oil products from oil sludge, their multistage processing by solvent is necessary.

Authors

Publication Details

Journal
Herald Of Technological University
Published
2025-01-01
DOI
https://doi.org/10.55421/1998-7072_2025_28_1_113
Primary Topic
Mining and Gasification Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

METHOD OF PROCESSING OIL SLUDGE GENERATED AT OIL REFINERIES IN TURKMENISTAN

M.A. KEYMIROV, V. A. Garahanov, A.T. KHANGELDIYEV
Herald Of Technological University
Mining and Gasification Technologies
article

METHOD OF PROCESSING OIL SLUDGE GENERATED AT OIL REFINERIES IN TURKMENISTAN

M.A. KEYMIROV, V. A. Garahanov, A.T. KHANGELDIYEV
article en

Abstract

The paper presents the results of studying the chemical composition of some samples of oil sludge produced at oil refineries of Turkmenistan. The study of oil sludge composition of Turkmenbashi complex of oil refineries (TCOR) and Seydi oil refinery (SOR) showed the presence of mechanical impurities in them: in samples (TCOR), RVS-No.208 -3.44% and RVS-Nj.216 -4.41%. The content of organic components of oil sludge in these samples, respectively, is as follows: asphaltenes 38.08% and 12.31%; resins 15.06% and 31.18%; oils 43.41% and 52.09%. In the sample RVS-No.246 the content of mechanical impurities 56,48% and oil products 43,52% (including: asphaltenes 2,36%, resins 3,65%, oils 37,51%). The composition of oil sludge sampled in the SOR (from the biological treatment plant - BTP and from the mechanical treatment plant - MTP): in the samples, BTP 62.37-62.92%; and in the sample of MTP 2.03% of mechanical impurities. The content of chemical components of oil sludge in these samples, respectively, is as follows: asphaltenes 1,7 and 7,87%; resins 16,10 and 17,58%; oils 19,45 and 72,52%. The method of processing of oil sludge from TCOR and SOR with gas condensate was studied and for comparison straight-run gasoline and reformate, which are semi-finished products of the enterprises, were used as extractants. As a result of the research, it was concluded that gas condensate used at the plant as an additional raw material can be successfully used as a solvent in the processing of oil sludge. For more complete extraction of oil products from oil sludge, their multistage processing by solvent is necessary.

Herald Of Technological UniversityVol. 28(1)
Openalex Percentile: Top 90%
Mining and Gasification Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.