Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)

The Approach to Probabilistic Prediction of Pipelines Safety for Quantitative Rationale Preventive Measures of Control during Design and Operation

Authors
Andrey Kostogryzov, Leonid Grigoriev, Sergey Golovin, Andrey Nistratov, George Nistratov, Igor Zubarev
Corresponding Author
Andrey Kostogryzov
Available Online April 2019.
DOI
10.2991/smont-19.2019.35How to use a DOI?
Keywords
analysis, diagnostic; model; monitoring; prediction; probability; system; technology
Abstract

The approach to probabilistic prediction of pipelines safety is proposed. The probability to lose “acceptable safety” may be predicted by modeling. The approach allows to estimate quantitative levels of risks, reveal "bottlenecks" and define rational recommendations to system preventive measures. The possibilities for revealing new latent effects for a given period “in future” and for quantitative rationale preventive measures of control during design and operation are demonstrated by examples.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
Series
Advances in Intelligent Systems Research
Publication Date
April 2019
ISBN
978-94-6252-712-6
ISSN
1951-6851
DOI
10.2991/smont-19.2019.35How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Andrey Kostogryzov
AU  - Leonid Grigoriev
AU  - Sergey Golovin
AU  - Andrey Nistratov
AU  - George Nistratov
AU  - Igor Zubarev
PY  - 2019/04
DA  - 2019/04
TI  - The Approach to Probabilistic Prediction of Pipelines Safety for Quantitative Rationale Preventive Measures of Control during Design and Operation
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 158
EP  - 161
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.35
DO  - 10.2991/smont-19.2019.35
ID  - Kostogryzov2019/04
ER  -