DEVELOPMENT OF AN APPLICATION FOR THE THERMAL PROCESSING OF OIL SLIME IN THE INDUSTRIAL OIL AND GAS SECTOR

Gulnar Balakayeva; Gaukhar Kalmenova; Dauren Darkenbayev; Christofer Phillips

doi:10.35784/iapgos.3463

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Published: Jun 30, 2023

DOI: https://doi.org/10.35784/iapgos.3463

Issue Vol. 13 No. 2 (2023)

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DOI

https://doi.org/10.35784/iapgos.3463

Authors

Gulnar Balakayeva

gulnardtsa@gmail.com

Al-Farabi Kazakh National University, Almaty, Kazakhstan, Kazakhstan

https://orcid.org/0000-0001-9440-2171

Gaukhar Kalmenova

kalmenova.g.b@gmail.com

Al-Farabi Kazakh National University Almaty, Kazakhstan, Kazakhstan

https://orcid.org/0000-0002-4124-2423

Dauren Darkenbayev

dauren.kadyrovich@gmail.com

https://orcid.org/0000-0002-6491-8043

Christofer Phillips

chris.phillips@newcastle.ac.uk

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 model

References

Abdrabboh M. A.: Studies in Heat and Mass Transfer in Oil Sand Beds. Ph.D. thesis. University of Calgary, Calgary, Alberta, Canada,1983.

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

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.

Anderson D. A. et al.: Computational Fluid Mechanics and Heat Transfer. 2nd ed., Taylor & Francis, 1977.

Badrul I.: Petroleum sludge, its treatment and disposal: a review. Int. J. Chem. Sci. 13(4), 2015, 1584–1602.

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

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.

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.

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

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

Dash User Guide, 2022 [https://dash.plotly.com].

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.

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

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.

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

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.

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

Kalmenova G. B., Balakayeva G. T.: Developing a model of oil slime processing. Bulletin of KazNTU. Series Physics and mathematics 3, 2019, 552–555.

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

Lubanovic B.: Introducing Python: Modern Computing in Simple Packages 2nd Edition. O'Reilly Media, 2019.

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

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.

Python interface to Tcl/Tk, Python Documentation, 2019 [https://docs.python.org/3/library/tkinter.html].

Romano F. et al.: Learn Web Development with Python//Packt Publishing Ltd, 2018.

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

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

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

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

Balakayeva, G., Kalmenova, G., Darkenbayev, D., & Phillips, C. (2023). DEVELOPMENT OF AN APPLICATION FOR THE THERMAL PROCESSING OF OIL SLIME IN THE INDUSTRIAL OIL AND GAS SECTOR. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(2), 20–26. https://doi.org/10.35784/iapgos.3463

DEVELOPMENT OF AN APPLICATION FOR THE THERMAL PROCESSING OF OIL SLIME IN THE INDUSTRIAL OIL AND GAS SECTOR

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