Affiliation:
1. Vilnius Gediminas Technical University
2. Belarusian State Technological University
Abstract
The oil industry carries enormous environmental risks and can cause consequences at different levels: water, air, soil, and, therefore, all living things on our planet. In this regard, forecasting the environmental consequences of oil spill accidents becomes relevant. Moreover, forecasting of oil spill accidents can be used to quickly assess the consequences of an accident that has already occurred, as well as to develop a plan of operational measures to eliminate possible accidents, facilities under construction, associated with the transportation, storage or processing of petroleum products. Consequently, the aim of this paper is to present a knowledge-based approach and its implementing system for forecasting the consequences of an accidental oil spills on the ground and groundwater. The novelty of the proposed approach is that it allows us to forecast the oil spill in a complex and systematic way. It consists of components for modelling geological environment (i.e., geological layers, oil spill form, the oil migration with groundwater), forecasting component for an oil spill and pollution mitigation component. Moreover, the forecasting component is based on experts’ knowledge on oil spill. In addition, the paper presents a general architecture for the implementation of the proposed knowledge-based approach and its implementation into a prototype named SoS-Ground.
Publisher
Main Information and Analytical Center of the Ministry of Education of the Republic of Belarus
Reference27 articles.
1. BP (2019). Statistical Review of World Energy. BP p.l.c. Available at: https://www.bp.com/content/dam/bp/business- sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2019-full-report.pdf
2. Zhou, S., Wang, M., Yang, Z., & Zhang, X. (2019). Polydopamine-Modified Nanochannels in Vertically Aligned CarbonNanotube Arrays for Controllable Molecule Transport. ACS Applied Nano Materials, 2(5), pp. 3271-3279.
3. Nyssanbayeva, G., Kudaibergenov, K., & Seidildayeva, A. (2020). Synthesis Of Modified Nanocarbon Materials AndDetermination Of Their Adsorption Capacity. International Journal of Mechanical and Production Engineering Researchand Development (IJMPERD), 10(1), pp. 305–314.
4. Feng, D., Passalacqua, P., & Hodges, B. R. (2019). Innovative Approaches for Geometric Uncertainty Quantification inan Operational Oil Spill Modeling System. Journal of Marine Science and Engineering, 7(8), pp. 259.
5. Burmakova A. V., Ibrahim J. М., Smelov V. V. (2018) Application of expert assessments in integrated mathematicalmodel for predicting the consequences of the emergency explosion of oil products. Proceedings of BSTU, series 3, Physics and Mathematics. Informatics 212(2), pp. 96-100.
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