The systemic approach, based on the risks analysis and optimization, to research variants for developing hydrocarbon deposits of Arctic regions

• Autorzy: Grigoriev L. , Guseinov Ch. , Kershenbaum V. , Kostogryzov A.
• Języki publikacji: EN

Abstrakty

EN

The original methodological approach based on the risks analysis and optimization is proposed to research variants for developing hydrocarbon deposits of Arctic regions. The basic analytical problems that are due to be solved by probabilistic modelling of processes are formulated. Input and otput allow to research different variants for developing hydrocarbon deposits of Arctic regions. Some effects are demonstrated by example.

Słowa kluczowe

EN

analysis; Arctic regions; hydrocarbons; model; optimization; probability; quality; resources; risk; technology

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2014
• Tom: Vol. 5, No. 1
• Strony: 71--78
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Grigoriev L.

• The Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Guseinov Ch.

• The Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Kershenbaum V.

• The Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Kostogryzov A.

• Research Institute of Applied Mathematics and Certification, Moscow, Russia

Bibliografia

• [1] Burtseva, A. (2013). Quality management of operation of the gas transportation system in conditions of Yamal Peninsula. The dissertation on a scientific degree PhD. Scientific supervisor - Kostogryzov A.I., The Gubkin Russian State University of Oil and Gas.
• [2] Grigoriev, L.I., Kershenbaum, V.Ya. & Kostogryzov, A.I. (2010). System foundations of the management of competitiveness in oil and gas complex. Moscow: National Inst. of oil & gas.
• [3] Grigoriev, L., Kostogryzov, A. & Tupysev, A. (2013). Automated dispatch control; problems and details of modeling. Proc. of IFAC Conference on Manufacturing modeling, management and control 1157-1161.
• [4] Kolowrocki, K. & Soszynska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes. Springer-Verlag.
• [5] Kostogryzov, A. et al. (2011). Mathematical models and applicable technologies to forecast, analyze and optimize quality and risks for complex systems, Proc. of the 1st Intern.Conf. on Transportation Information and Safety (ICTIS), Wuhan, China, 845-854.
• [6] Kostogryzov, A. et al. (2012). Some applicable methods to analyze and optimize system processes in quality management. InTech, http://www.intechopen.com/books/total-qualitymanagement-and-six-sigma/some-applicablemethods-to-analyze-and-optimize-systemprocesses-in-quality-management.
• [7] Kostogryzov, A., Grigoriev, L., Nistratov, G., Nistratov, A. & Krylov, V. (2013). Prediction and Optimization of System Quality and Risks on the Base of Modelling Processes. DOI: 10.4236/ajor.2013.31A021, American Journal of Operations Research 3, 217-244, http://www.scirp.org/journal/ajor/.
• [8] Kostogryzov, A., Nistratov, A. & Nistratov, G. (2012). Applicable Technologies to Forecast, Analyze and Optimize Reliability and Risks for Complex Systems. Proc. of the 6st Summer Safety and Reliability Seminar, Vol. 3, No. 1, 1-14.
• [9] Kostogryzov, A., Nistratov, A. & Nistratov, G. (2013). The Innovative Probability Models and Software Technologies of Risks Prediction for Systems Operating in Various Fields. International Journal of Engineering and Innovative Technology (IJEIT) Vol 3, Issue 3, 146-155. http://www.ijeit.com/archive.php.
• [10] Kostogryzov, A. & Stepanov, P.V. (2008). Innovative management of quality and risks in systems life cycle. Moscow: APC.
• [11] Long term priorities of applied science in Russia. Moscow: National Research Inst. High Economic School, 2013, 120p.