| Autor: |
K. N. Abdrakhmanova, V. V. Shabanova, A. V. Fedosov, N. Kh. Abdrakhmanov |
| Jazyk: |
ruština |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Безопасность техногенных и природных систем, Vol 0, Iss 2, Pp 2-13 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2541-9129 |
| DOI: |
10.23947/2541-9129-2020-2-2-13 |
| Popis: |
Introduction. One of the main tasks of the production organization is to prevent accidents. In the oil and gas industry, a significant part of accidents occur on process pipelines. Depressurization of the process pipeline leads to negative consequences up to a complete shutdown of production and can cause human casualties. Modeling the pipeline depressurization process in accordance with accident scenarios is one of the approaches to ensuring the safety of technological pipelines.Problem Statement. The purpose of this study is to model the process of pipeline depressurization in accordance with scenarios of industrial accidents under certain environmental conditions.Theoretical Part. In most cases, the main causes of accidents are internal hazards associated with depressurization and destruction of technical devices, as well as personnel errors due to violation of the requirements of the organization and production of hazardous work. There is no unified methodology for drawing up a scenario for the development of accidents at hazardous production facilities, and the existing guidelines for determining possible scenarios are of a recommendatory nature. Various types of fire and explosive process media located inside the pipeline are considered in the preparation of scenarios. The object of experiments was a 3D model of an industrial site with a hypothetical process pipeline under such variables as building density, meteorological conditions, and air mass stagnation zones. The latter were modeled in the FlowVision software package, which visualizes three-dimensional liquid and gas flows.Conclusion. The developed universal algorithm made it possible to create scenarios for the development of an emergency situation on a hypothetical process pipeline. The results are applicable for further modeling of emergency situations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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