PREDICTION OF HEAVY OIL BIODEGRADATION BY ASSOCIATION OF ABORIGINAL PETRODESTRUCTIVE MICROORGANISMS
Autor: | Albert H. Safarov, Vladimir V. Vodopyanov, Guzel G. Yagafarova, Iana M. Dusaeva, Lilya R. Akchurina |
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Jazyk: | ruština |
Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 330, Iss 12, Pp 111-118 (2019) |
Druh dokumentu: | article |
ISSN: | 24131830 2500-1019 2413-1830 |
DOI: | 10.18799/24131830/2019/12/2407 |
Popis: | The relevance of the research is caused by the need to monitor and predict changes in oil-contaminated soil, in particular, to intensify biodegradation of oil and oil products, as well as changes in the number of organotrophic microorganisms over time. The data, obtained from modeling in the system «soil–oil–microorganisms», will increase the efficiency of cleansing oil-contaminated soil and thereby improve the environment. The aim of the research was to create a mathematical model reproducing heavy oil components degradation by association of indigenous petrodestructive microorganisms. The object of the study is the heavy oil-contaminated soil of the Nizhne-Karmalskoe field, as well as the association of indigenous petrodestructive microorganisms. Methods. The modified Keller–Segal model, which also takes into account the processes of diffusion of petroleum products and the hemotaxis of microorganisms, was used as a database for modeling. The system of equations was solved numerically, using a specially developed in the Python language program. The numerical solution was carried out using the predictor–corrector method. Results. The work consisted of two stages – experiment and calculation. During the first stage of the work, the biodegradation of oil and petroleum products was studied by a consortium of indigenous oil destructive microorganisms. On the basis of the obtained results, the experimental data base was established. At the second stage, according to the previously obtained data, the authors constructed a mathematical model describing heavy oil biodegradation and changes in the number of oil-destructing microorganisms in oil-contaminated soil. The calculations showed great consistency of estimated data with experimental ones. The obtained model would predict measures for environmental friendly methods of cleaning oil-contaminated soils at the early stages of cleaning. |
Databáze: | Directory of Open Access Journals |
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