DEVELOPMENT OF AN APPLICATION FOR THE THERMAL PROCESSING OF OIL SLIME IN THE INDUSTRIAL OIL AND GAS SECTOR
Gulnar Balakayeva
Al-Farabi Kazakh National University, Almaty, Kazakhstan (Kazakhstan)
https://orcid.org/0000-0001-9440-2171
Gaukhar Kalmenova
Al-Farabi Kazakh National University Almaty, Kazakhstan (Kazakhstan)
https://orcid.org/0000-0002-4124-2423
Dauren Darkenbayev
dauren.kadyrovich@gmail.com(Kazakhstan)
https://orcid.org/0000-0002-6491-8043
Christofer Phillips
Newcastle University (United Kingdom)
http://orcid.org/0000-0002-2470-1659
Abstract
The production activities of oil refineries and oil and gas-producing enterprises inevitably have an anthropogenic impact on the environment, so environmental issues and the rational use of natural resources are important. The most dangerous pollutants of all components in the natural environment are oil waste, and one of the most effective methods of processing is heat treatment. The task was set to neutralize oil waste by thermal processing of oil slime to an environmentally safe level. The studies are carried out by methods of mathematical and numerical simulation of thermal processing, the results of which describe changes in temperature and mass of the stream over time. Extensive calculations with varying current operating and other parameters allow us to optimize the flow of heat and mass transfer during the thermal processing of oil slime. Numerical modeling is implemented using the method of alternating directions in an implicit iterative scheme until a convergence condition is met. The purpose of this work is to create an application for solving research and practical problems of oil waste processing. The application used allows the solution of the problems of oil slime processing. With the help of color-animated illustrations and a graphical interface, it supports the visualization of the results obtained, and provides the possibility of interactive interaction with the user, while providing instant control of the results obtained for timely decision-making to prevent environmental pollution in the industrial oil gas sector.
Keywords:
oil slime, software, heat treatment, applied application, ADI, mathematical modelReferences
Abdrabboh M. A.: Studies in Heat and Mass Transfer in Oil Sand Beds. Ph.D. thesis. University of Calgary, Calgary, Alberta, Canada,1983.
Google Scholar
Abimbola A., Bright S.: Alternating-Direction Implicit Finite-Difference Method for Transient 2D Heat Transfer in a Metal Bar using Finite Difference Method. International Journal of Scientific & Engineering Research 6(6), 2015.
DOI: https://doi.org/10.14299/ijser.2015.06.013
Google Scholar
Altybay A. et al.: Software Application for the Investigation of the Wave Propagation in 1d and 2d Wave Equations with Singular Coefficients. Telematique 21(1), 2022, 7468–7474.
Google Scholar
Anderson D. A. et al.: Computational Fluid Mechanics and Heat Transfer. 2nd ed., Taylor & Francis, 1977.
Google Scholar
Badrul I.: Petroleum sludge, its treatment and disposal: a review. Int. J. Chem. Sci. 13(4), 2015, 1584–1602.
Google Scholar
Balakayeva G. et al: Digitalization of enterprise with ensuring stability and reliability. Informatics, Control, Measurement in Economy and Environmental Protection 13(1), 2023, 54–57 [http://doi.org/10.35784/iapgos.3295].
DOI: https://doi.org/10.35784/iapgos.3295
Google Scholar
Balakayeva G., Darkenbayev D.: The solution to the problem of processing big data using the example of assessing the solvency of borrowers. Journal of Theoretical and Applied Information Technology 98(13), 2020, 2659–2670.
Google Scholar
Balakayeva G. T. et al.: Numerical modeling of heat and mass transfer in a reactor for continuous movement of oxidation of oil slime. Chemical Bulletin of Kazakh National University 3, 2000, 47–55.
Google Scholar
Balakayeva G.T. et all: Using NoSQL for processing unstructured BigData, News of the Republic of Kazakhstan series of Geology and Technical sciences 6(438), 2019, 12–21.
DOI: https://doi.org/10.32014/2019.2518-170X.151
Google Scholar
Chang M. J. et al.: Improved alternating-direction implicit method for solving transient three-dimensional heat diffusion problems. Numerical Heat Transfer, Part B: Fundamentals, 1991, 69–84.
DOI: https://doi.org/10.1080/10407799108944957
Google Scholar
Dash User Guide, 2022 [https://dash.plotly.com].
Google Scholar
Dong X. et al.: Treatment of layered oily sludge by a thermal steam process. 13th International Conference on Waste Management and Technology (ICWMT 13), Beijing, China, 2018.
Google Scholar
Egazaryants S. V. et al.: Oil slime Treatment Processes. Chemistry and Technology of Fuels and Oils 5(51), 2015, 506–515.
DOI: https://doi.org/10.1007/s10553-015-0632-7
Google Scholar
Hanafi A. S.: Experimental and Analytical Studies of Volatilization and Burning of Oil Sand Particles. Ph.D. thesis, The University of Calgary, Calgary, Alberta, Canada, 1979.
Google Scholar
Hu G. et al.: Recent development in the treatment of oil slime from petroleum industry. Journal of Hazardous Materials 2(61), 2014, 470–490.
DOI: https://doi.org/10.1016/j.jhazmat.2013.07.069
Google Scholar
Jadidi N. et al.: The Most Recent Researches in Oily Sludge Remediation Process. Am. Journal of Oil and Chemical Technologies 2(10), 2019, 340–348.
Google Scholar
Johnson O. A., Affam A. C.: Petroleum sludge treatment and disposal: A review. Environmental Engineering Research 24(2), 2019, 191–201 [http://doi.org/10.4491/eer.2018.134].
DOI: https://doi.org/10.4491/eer.2018.134
Google Scholar
Kalmenova G. B., Balakayeva G. T.: Developing a model of oil slime processing. Bulletin of KazNTU. Series Physics and mathematics 3, 2019, 552–555.
Google Scholar
Kunlong H. et al.: Status and prospect of oil recovery from oily sludge: A review. Arabian Journal of Chemistry 3(8), 2020, 6523–6543.
DOI: https://doi.org/10.1016/j.arabjc.2020.06.009
Google Scholar
Lubanovic B.: Introducing Python: Modern Computing in Simple Packages 2nd Edition. O'Reilly Media, 2019.
Google Scholar
Ma Z. et al.: Modeling and Simulation of Oil slime Pyrolysis in a Rotary Kiln with a Solid Heat Carrier: Considering the Particle Motion and Reaction Kinetics. Energy & Fuels 28(9), 2014, 6029–6037 [http://doi:10.1021/ef501263m].
DOI: https://doi.org/10.1021/ef501263m
Google Scholar
Norzilah A. H., Nursalasawati R.: Alternating Direction Implicit (ADI) Method for Solving Two Dimensional (2-D) Transient Heat Equation. ASM Sci. J., Special for SKSM 26(6), 2019, 28–33.
Google Scholar
Python interface to Tcl/Tk, Python Documentation, 2019 [https://docs.python.org/3/library/tkinter.html].
Google Scholar
Romano F. et al.: Learn Web Development with Python//Packt Publishing Ltd, 2018.
Google Scholar
Shan Z.: A Matched, Alternating Direction Implicit (ADI) Method for Solving the Heat Equation with Interfaces. Journal of Scientific Computing 63(1), 2015, 118–137.
DOI: https://doi.org/10.1007/s10915-014-9887-0
Google Scholar
Yao W.: Research and application of oil slime resource utilization technology in the oil field. IOP Conference Series Earth and Environmental Science 170(3), 2018 [http://doi:10.1088/1755-1315/170/3/032026].
DOI: https://doi.org/10.1088/1755-1315/170/3/032026
Google Scholar
Zhang X. et al.: Thermal Desorption Process Simulation and Effect Prediction of Oil-Based Cuttings. ACS Omega 7(25), 2022, 21675–21683 [http://doi:10.1021/acsomega.2c01597].
DOI: https://doi.org/10.1021/acsomega.2c01597
Google Scholar
Ziyi W. et al.: Application and development of pyrolysis technology in petroleum oily sludge treatment. Environmental Engineering Research 26(1), 2021 [http://doi.org/10.4491/eer.2019.460].
DOI: https://doi.org/10.4491/eer.2019.460
Google Scholar
Authors
Gulnar BalakayevaAl-Farabi Kazakh National University, Almaty, Kazakhstan Kazakhstan
https://orcid.org/0000-0001-9440-2171
Authors
Gaukhar KalmenovaAl-Farabi Kazakh National University Almaty, Kazakhstan Kazakhstan
https://orcid.org/0000-0002-4124-2423
Authors
Dauren Darkenbayevdauren.kadyrovich@gmail.com
Kazakhstan
https://orcid.org/0000-0002-6491-8043
Authors
Christofer PhillipsNewcastle University United Kingdom
http://orcid.org/0000-0002-2470-1659
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