Abstract
In case of spill, an essential point of restoring consequences of the unexpected situations in oil transportation system is appropriate planning to provide the sequence of adequate actions (plans) and support these actions by actors (personnel) and by resources. The plan may needs coordination with local, municipal, territorial, regional or federal departments and includes means of ground and air transportation, logistics support, spill reagent supply and repair equipment delivery.
The task of automated planning, which is classic in the domain of the Artificial Intelligence, becomes more and more urgent due to manifold oil leak cases. This problem is not new, the research is continuing for more than 50 years. Predicate logics, situation calculus, dynamic and integer programming models STRIPS, PDDL languages are applied. This problem is especially urgent for Russian petroleum and gas sectors of economy since the number of the oil leaks reached 28 thousand per year.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Report of Minister of Energy A.V. Novak on the National Oil and Gas Forum, 2013 (in Russian). http://minenergo.gov.ru/press/doklady/14507.html
Ministry of Finance of the Russian Federation, and gas revenues of the federal budget (2012). http://www.minfin.ru/ru/reservefund/accumulation/
Russia’s Energy Strategy until 2030 (approved by the RF Government Decree of 13 November 2009 N 1715-p) (in Russian)
Rybakov, S.N., Meyer, S., Tarasov, A.G.: Improving the legal regulation of the prevention, containment and elimination of oil spills (in Russian). http://cetek.ru/informaciya-i-analitika/sovershenstvovanie-regulirovaniya
Blokov, I.P.: Greenpeace Russia, Overview of pipeline breaks and volume of oil spills in Russia, 2012. 12 pp (in Russian). http://www.greenpeace.org/russia/Global/russia/report/Arctic-oil/Oil_spills.pdf
Russian Federation Government Resolution
240 of 15.04.2002 “On organization of measures to prevent and eliminate oil spills and oil products in the Russian Federation”. http://www.56.mchs.gov.ru/…/915165e3f2522f6121ebbc7999392c66.doc
Ministry of Emergency Situations Order number 621 of 28.12.2004 “On approval of rules for the development and approval of plans for prevention and liquidation of oil spills on the territory of the Russian Federation” (in Russian). http://www.atgs.ru/articles/?aid=df646f6976c5e2da72b421b82dc11cc9
Regulations on the classification of natural and man-made disasters, approved by the Government of the Russian Federation dated 13 September 1996
1094 (in Russian). http://www.mchs.ru/law/index.php?ID=4262Basic requirements for the development of plans for the prevention and liquidation of emergency oil spills (admitted by. RF Government Decree of August 21, 2000 N 613). http://www.center-ps.ru/rostehnadzor/dev_document/plarn/
Russian Federation Government Resolution
613 of 21.08.2000. (as amended. RF Government Decree of 15.04.2002 
240) “On urgent measures for the prevention and liquidation of emergency oil spills” (in Russian). zakonprost.ru/content/base/39087
MNR Order number 156 of 03.03.2003 “Guidelines for the definition of low-level oil spill for assignment to emergency flood emergency” (in Russian). zakonprost.ru/content/base/part/311…кoпия
Integrated automation solutions for gas transportation and gas companies of JSC “Gazprom” (in Russian). http://www.atgs.ru/articles/?aid=df646f6976c5e2da72b421b82dc11cc9
National industrial magazine, “Oil & Gas Vertical” Surgutneftegas,
17, 2012г., 100 pp. (in Russian)Mishkin, G.B.: Summary of leak detection systems Russian producers. J. Young Sci.
2. T.1. — C, 41–47 (2011). (in Russian)Fikes, R.E., Nilsson, N.J.: STRIPS: A new approach to the application of theorem proving to problem solving. Artif. Intell. 2, 189–208 (1971)
van den Briel, M.H.L.: Integer programming approaches for automated planning. A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Arizona State University (August 2008). http://rakaposhi.eas.asu.edu/menkes-dissertation.pdf
Fox, M., Long, D.: PDDL2.1: An extension of PDDL for expressing temporal planning domains. J. Artif. Intell. Res. 20, 60–124 (2003)
Romanov, V., Moskovoy, I., Grigoryeva, K.: Response information system on oil logistics unexpected emergency situations. In: Proceedings of the 2013 Summer Simulation Multi-Conference (SummerSim’13), 7–10 July 2013, Toronto, ON, Canada
240 of 15.04.2002 “On organization of measures to prevent and eliminate oil spills and oil products in the Russian Federation”. 
1094 (in Russian). 
613 of 21.08.2000. (as amended. RF Government Decree of 15.04.2002 
240) “On urgent measures for the prevention and liquidation of emergency oil spills” (in Russian). 
17, 2012г., 100 pp. (in Russian)
2. T.1. — C, 41–47 (2011). (in Russian)Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Romanov, V., Moskovoy, I., Onokhova, M. (2014). Emergency Response Planning Information System. In: Barjis, J., Pergl, R. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2014. Lecture Notes in Business Information Processing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44860-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-662-44860-1_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44859-5
Online ISBN: 978-3-662-44860-1
eBook Packages: Computer ScienceComputer Science (R0)