«Environmental protection in oil and gas complex»

Taking into account logistical aspects when optimizing waste management strategies in the oil and gas industry

UDC: 504.054
DOI: -

Authors:

¹ National University of Oil and Gas "Gubkin University", Moscow, Russia

Keywords: waste management, oil and gas industry, logistics, mixed integer linear programming (MILP), geographic information systems (GIS), routes optimization, vehicle routing problem (VRP), topographic base use

Annotation:

The authors of the article present an integrated approach to waste management aimed at optimizing waste management strategies in the oil and gas industry, taking into account logistics aspects. The effective schemes of wastes’ collection, transportation and disposal, ensuring minimal costs and high economic efficiency are revealed. Based on a mathematical model – mixed integer linear programming (MILP), suitable for solving the routing problem, as well as using geographic information technologies (GIS) in the analysis of spatial data, a method of waste collection routes optimization is proposed. The application of the proposed approaches creates the basis for finding an optimal solution of the routing problem applicable to a group of oil and gas fields, making it possible to adjust waste management strategies that help to reduce the negative impact on the environment and increase the efficiency of activities in the oil and gas industry. The list of criteria required for building an effective waste management strategy is formulated by the authors as well.

Bibliography:

1. Ivanov A.V. Teoriya i metodologiya formirovaniya sistemy upravleniya infrastrukturnymi kompleksami (na primere sistemy upravleniya tverdymi bytovymi otkhodami): dis. … d-ra ekon. nauk: 08.00.05. – SPb., 2009. – 561 s.
2. Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability / T. Bányai, P. Tamás, B. Illés [et al.] // Int. J. of Environmental Research and Public Health. – 2019. – Vol. 16, Issue 4. – P. 634. – DOI: 10.3390/ijerph16040634
3. Sovershenstvovanie sistemy upravleniya otkhodami bureniya pri stroitel'stve skvazhin na sushe / E.I. Kompasenko, O.R. Kadyrov, E.A. Mazlova, O.S. Ostakh // Zashchita okruzhayushchey sredy v neftegazovom komplekse. – 2023. – № 1(310). – S. 33–41. – DOI: 10.33285/2411-7013-2023-1(310)-33-41
4. Supporting multi-depot and stochastic waste collection management in clustered urban areas via simulation–optimization / A. Gruler, C. Fikar, A.A. Juan [et al.] // J. of Simulation. – 2017. – Vol. 11, No. 1. – P. 11–19. – DOI: 10.1057/s41273-016-0002-4
5. Beliën J., De Boeck L., Van Ackere J. Municipal Solid Waste Collection and Management Problems: A Literature Review // Transportation Science. – 2014. – Vol. 48, No. 1. – P. 78–102. – DOI: 10.1287/trsc.1120.0448
6. Kim Byung-In, Kim Seongbae, Sahoo S. Waste collection vehicle routing problem with time windows // Computers & Operations Research. – 2006. – Vol. 33, Issue 12. – P. 3624–3642. – DOI: 10.1016/j.cor.2005.02.045
7. Mirabi M., Shokhri N., Sadeghieh A. Modeling and Solving the Multi-depot Vehicle Routing Problem with Time Window by Considering the Flexible End Depot in Each Route // Int. J. of Supply and Operations Management. – 2016. – Vol. 3, Issue 3. – P. 1373–1390. – DOI: 10.22034/2016.3.02
8. Ombuki-Berman B., Runka A., Hanshar F.T. Waste collection vehicle routing problem with time windows using multi-objective genetic algorithms // Third IASTED Int. Conf. Computational Intelligence, Banff, AB, Canada, July 2–4, 2007. – P. 91–97. – URL: https://www.researchgate.net/publication/228655888_Waste_collection_vehicle_routing_problem_with_time_windows_using_multi-objective_genetic_algorithms (data obrashcheniya 10.05.2024).
9. Vehicle Routing – Problems, Methods and Applications. – 2nd edition / Edited by P. Toth, D. Vigo. – Philadelphia: Society for Industrial and Applied Mathematics, 2014. – XVIII, 463 p. – URL: https://books.google.ru/books?id=AoTTBQAAQBAJ (data obrashcheniya 12.05.2024).
10. Cattaruzza D., Absi N., Feillet D. Vehicle routing problems with multiple trips // 4OR – A Quarterly J. of Operations Research. – 2016. – Vol. 14, Issue 3. – P. 223–259. – DOI: 10.1007/s10288-016-0306-2
11. Routing optimization for waste management / S. Sahoo, Kim Seongbae, Kim Byung-In [et al.] // INFORMS J. on Applied Analytics. – 2005. – Vol. 35, No. 1. – P. 24–36. – DOI: 10.1287/inte.1040.0109
12. Chang Ni-Bin, Wang S.F. Solid Waste Management System Analysis by Multiobjective Mixed Integer Programming Model // J. of Environmental Management. – 1996. – Vol. 48, Issue 1. – P. 17–43. – DOI: 10.1006/jema.1996.0064
13. Kulcar T. Optimizing solid waste collection in Brussels // European J. of Operational Research. – 1996. – Vol. 90, No. 1. – P. 71–77. – DOI: 10.1016/0377-2217(94)00311-4
14. Maniezzo V. Algorithms for large directed CARP instances: Urban solid waste collection operational support: Technical report UBLCS-2004-16. – Bologna, Italy: University of Bologna, Department of Computer Science, 2004. – 27 p. – URL: https://www.researchgate.net/publication/242321183_Algorithms_for_large_directed_CARP_instances_urban_solid_waste_collection_operational_support (data obrashcheniya 20.05.2024).
15. Ghose M.K., Dikshit A.K., Sharma S.K. A GIS based transportation model for solid waste disposal – A case study on Asansol municipality // Waste Management. – 2006. – Vol. 26, Issue 11. – P. 1287–1293. – DOI: 10.1016/j.wasman.2005.09.022
16. Optimisation of MSW collection routes for minimum fuel consumption using 3D GIS modelling / G. Tavares, Z. Zsigraiova, V. Semiao, M.G. Carvalho // Waste Management. – 2009. – Vol. 29, Issue 3. – P. 1176–1185. – DOI: 10.1016/j.wasman.2008.07.013
17. Entezaminia A., Heidari M., Rahmani D. Robust aggregate production planning in a green supply chain under uncertainty considering reverse logistics: a case study // The Int. J. of Advanced Manufacturing Technology. – 2017. – Vol. 90, Issue 5–8. – P. 1507–1528. – DOI: 10.1007/s00170-016-9459-6