Цифровая трансформация

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On Knowledge-Based Forecasting Approach for Predicting the Effects of Oil Spills on the Ground


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 assess the consequences of an accident that have already occurred quickly, 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 geological environment modelling component (i.e., geological layers, oil spill form, the oil migration with groundwater), an oil spill forecasting component 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. The experiment carried out shows that the developed SoS-Ground is feasible and useful in oil spill forecasting.

Об авторе

Владимир Смелов

Для цитирования:

. . Цифровая трансформация. 2020;(4).

For citation:

Смелов В.В. On Knowledge-Based Forecasting Approach for Predicting the Effects of Oil Spills on the Ground. Digital Transformation. 2020;(4). (In Russ.)

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ISSN 2522-9613 (Print)
ISSN 2524-2822 (Online)