Many complex technical systems are characterized by such properties as nonlinearity, non-equilibrium, stochasticity. The nature of this should be sought in the complex interaction of the constituent elements of such systems. To date, a number of scientific approaches have been developed that allow us to correctly describe such systems or to obtain some reasonable estimates of the main parameters. This paper shows how the use of one of these approaches (structural risk minimization) can be effectively used to identify the parameters of the evaporation process in the course of loading oil into tankers.
Despite the good knowledge of oil evaporation processes, in the case of tanker loading, the usual models face insurmountable difficulties. Deterministic models based on the solution of the system of equations of diffusion, heat and mass transfer, and gas dynamics are very complex in numerical implementation, and demanding on the accuracy and completeness of the original data. Stochastic, based on criterion equations of mass transfer, models need a reliable basis from numerous experimental studies. It should be taken into account here that under the operating conditions of the offshore oil terminals, most of the parameters characterizing the process of oil evaporation during loading are not controlled by the automation systems of tankers and berthing facilities. Thus, there is no reliable source of information about the characteristics of the process under study. Find a compromise in this case allows the proposed method, which is based not only on the results of regression analysis, but also allows to take into account the complexity of the model.
References
1. Volkodaeva M.V., Kiselev A.V., On development of system for environmental monitoring of atmospheric air quality (In Russ.), Zapiski Gornogo instituta = Journal of Mining Institute, 2017, V. 227, pp. 589–596, DOI: 10.25515/PMI.2017.5.589.
2. Sunagatullin R.Z., Korshak A.A., Zyabkin G.V., Current state of vapor recovery when handling oil and oil products (In Russ.), Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2017, no. 5, pp. 2–10.
3. Vykhodtseva N.A., Kostina E.A., Ukolova E.S., Biomonitoring of the offshore area of koz’mino oil port bay in the area of the oil loading terminal of LLC "Spetsmornefteport Kozmino" (In Russ.), Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2014, no. 1, pp. 86–91.
4. Pshenin V.V., Gaysin M.T., Gas dynamics modeling during tanker loading operations (In Russ.), Gornyy informatsionno-analiticheskiy byulleten' (nauchno-tekhnicheskiy zhurnal), 2017, no. S28, pp. 3–12.
5. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N., Etyudy o modelirovanii slozhnykh system neftedobychi. Nelineynost’, neravnovesnost’, neodnorodnost’ (Essays on modeling of complex oil production systems. The nonlinearity, disequilibrium, heterogeneity), Ufa: Gilem Publ., 1999, 464 p.
6. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N., Modelirovanie protsessov neftegazodobychi. Nelineynost’, neravnovesnost’, neopredelennost’ (Modelling of oil and gas production processes. Nonlinearity, disequilibrium, uncertainty), Moscow-Izhevsk: Publ. of Institute of Computer Science, 2004, 368 p.
7. Tikhonov A.N., Arsenin V.Ya., Metody resheniya nekorrektnykh zadach (Methods for solving ill-posed problems), Moscow: Nauka Publ., 1974, 223 p.
8. Shtukaturov K.Yu., Ekonomiko-matematicheskoe modelirovanie vybora tekhnologicheskikh rezhimov truboprovoda (Economic and mathematical modeling of the choice of technological modes of the pipeline): thesis of candidate of physical and mathematical science, Ufa, 2004, 129 p.
