Development of a methodology for multi-dimensional optimization of energy consumption of the trunk oil pipeline system due to the formation of cargo flows of specially formed mixtures of oil from various fields

UDK: 622.692.4.053
DOI: 10.24887/0028-2448-2020-6-98-103
Key words: branched trunk oil pipeline system, oil mixing, multi-grade oil mixture, rational mixing
Authors: R.R. Tashbulatov (Ufa State Petroleum Technological University, RF, Ufa), R.M. Karimov (Ufa State Petroleum Technological University, RF, Ufa), A.R. Valeev (Ufa State Petroleum Technological University, RF, Ufa), B.N. Mastobaev (Ufa State Petroleum Technological University, RF, Ufa)

The article is devoted to a new task of forming cargo flows of oil fr om various fields through the system of trunk oil pipelines with the ability to control the rheological properties of the pumped product due to the rational mixing of oil from various fields at the nodal points of the pipeline system – at oil pumping stations with tank farms. The need to set this task is due to the current trend of increasing the share of production of high-viscosity and high-viscosity oils and the urgent need to involve them in the trunk pipeline transport. Its solution allows formation of routes for oil flows from various fields with minimum total energy costs for pumping. To determine the mixing parameters at nodal points, the standard algorithm of multidimensional optimization is proposed as the main calculation module: the simplex method. The target function is represented as total energy consumption for pumping, depending on the concentration of oil mixing at the nodal points of the main oil pipeline system. A method for calculating the target function for any branched network of oil trunk pipelines using algorithms for constructing a mixing tree and determining its properties using a tree traversal algorithm is proposed. The issues of determining the lim it of permissible mixing based on ensuring mass balance and preserving the quality reserve of delivered oil to consumers are also considered. As an example, the problem is solved for an element of a trunk oil pipeline system with four oil mixing nodes in the case of an increase in the oil viscosity of one of the suppliers. Multi-dimensional optimization of energy consumption for this system has revealed the possibility of increasing its energy efficiency by more than 2 %.

References

1. Katsal I.N., O kachestve nefti v sisteme magistral'nogo transporta OAO “AK “Transneft'” (On the quality of oil in the trunk transportation system of Transneft, JSC), Proceedings of 4th international Conference “Argus Rynok rossiyskoy nefti 2014” (Argus Russian Oil Market 2014), URL: https://www.transneft.ru/pressroom/docs8.

2. Katsal I.N., Lyapin A.Yu., Dubovoy E.S. et al., On the formation of oil traffic in oil trunk pipelines system of JSC Transneft (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2016, no. 2(22), pp. 92–95.

3. Karimov R.M., Tashbulatov R.R., Mastobaev B.N., Increasing energy-efficiency of pipeline transportation by the way of optimal flows distribution and compounding of rheologically complicated kinds of oils (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2017, no. 3, pp. 13–18.

4. Tashbulatov R.R., Prognozirovanie vyazkostno-temperaturnykh kharakteristik techeniya smesey pri sovmestnoy transportirovke razlichnykh neftey v sisteme magistral'nykh nefteprovodov (Prediction of the viscous-temperature characteristics of the flow of mixtures during the joint transportation of various oils in the system of main oil pipelines): thesis of candidate of technical science, Ufa, 2019.

5. Akhnazarova S.L., Kafarov V.V., Metody optimizatsii eksperimenta v khimicheskoy tekhnologii (Experiment optimization methods in chemical technology), Moscow: Vysshaya shkola Publ., 1985, 327 p.

6. Montgomery D.C., Design and analysis of experiments, Hoboken: John Wiley, 2017, 629 p.

7. Grishanin M.S., Andronov S.A., Katsal I.N., Kozobkova N.A., Oil quality management: Information support (In Russ.), Truboprovodnyy transport nefti, 2016, no. 4, pp. 4–11.

8. Zakirov A.I., Obosnovanie rezhimov truboprovodnogo transporta bituminoznoy nefti (Justification of the modes of pipeline transport of bituminous oil): thesis of candidate of technical science, St. Petersburg, 2016.

9. Tashbulatov R.R., Karimov R.M., Mastobaev B.N., Makarenko O.A., Method for calculating the viscosity of multicomponent oil blend, IOP Conf. Series: Earth and Environmental Science, 2019, doi:10.1088/1755-1315/272/2/022196

10. Korshak A.A., Nechval' A.M., Proektirovanie i ekspluatatsiya gazonefteprovodov (Design and operation of gas and oil pipelines), St. Petersburg: Nedra, 2008, 488 p.

11. Remez E.Ya., Osnovy chislennykh metodov chebyshevskogo priblizheniya (Fundamentals of numerical methods of the Chebyshev approximation), Kiev: Naukova dumka Publ., 1969, 624 p.

12. Tugunov P.I., Novoselov V.F., Korshak A.A., Shammazov A.M., Tipovye raschety pri proektirovanii i ekspluatatsii neftebaz i nefteprovodov (Typical calculations in the design and operation of oil depots and oil pipelines), Ufa: DizaynPoligrafServis Publ., 2002, 658 p.

13. Vinarskiy M.S., Lur'e M.V., Planirovanie eksperimenta v tekhnologicheskikh issledovaniyakh (Planning an experiment in technological research), Kiev: Tekhnika Publ., 1975, 168 p.

14. Stephens R., Essential algorithms: a practical approach to computer algorithms, Hoboken: John Wiley, 2013, 759 p.

15. Tashbulatov R.R., Karimov R.M., Valeev A.R., Mastobaev B.N., Nodal rheological task of oil mixing for optimal distribution of flows in branched pipeline network (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2018, no 5, pp. 532–539.

The article is devoted to a new task of forming cargo flows of oil fr om various fields through the system of trunk oil pipelines with the ability to control the rheological properties of the pumped product due to the rational mixing of oil from various fields at the nodal points of the pipeline system – at oil pumping stations with tank farms. The need to set this task is due to the current trend of increasing the share of production of high-viscosity and high-viscosity oils and the urgent need to involve them in the trunk pipeline transport. Its solution allows formation of routes for oil flows from various fields with minimum total energy costs for pumping. To determine the mixing parameters at nodal points, the standard algorithm of multidimensional optimization is proposed as the main calculation module: the simplex method. The target function is represented as total energy consumption for pumping, depending on the concentration of oil mixing at the nodal points of the main oil pipeline system. A method for calculating the target function for any branched network of oil trunk pipelines using algorithms for constructing a mixing tree and determining its properties using a tree traversal algorithm is proposed. The issues of determining the lim it of permissible mixing based on ensuring mass balance and preserving the quality reserve of delivered oil to consumers are also considered. As an example, the problem is solved for an element of a trunk oil pipeline system with four oil mixing nodes in the case of an increase in the oil viscosity of one of the suppliers. Multi-dimensional optimization of energy consumption for this system has revealed the possibility of increasing its energy efficiency by more than 2 %.

References

1. Katsal I.N., O kachestve nefti v sisteme magistral'nogo transporta OAO “AK “Transneft'” (On the quality of oil in the trunk transportation system of Transneft, JSC), Proceedings of 4th international Conference “Argus Rynok rossiyskoy nefti 2014” (Argus Russian Oil Market 2014), URL: https://www.transneft.ru/pressroom/docs8.

2. Katsal I.N., Lyapin A.Yu., Dubovoy E.S. et al., On the formation of oil traffic in oil trunk pipelines system of JSC Transneft (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2016, no. 2(22), pp. 92–95.

3. Karimov R.M., Tashbulatov R.R., Mastobaev B.N., Increasing energy-efficiency of pipeline transportation by the way of optimal flows distribution and compounding of rheologically complicated kinds of oils (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2017, no. 3, pp. 13–18.

4. Tashbulatov R.R., Prognozirovanie vyazkostno-temperaturnykh kharakteristik techeniya smesey pri sovmestnoy transportirovke razlichnykh neftey v sisteme magistral'nykh nefteprovodov (Prediction of the viscous-temperature characteristics of the flow of mixtures during the joint transportation of various oils in the system of main oil pipelines): thesis of candidate of technical science, Ufa, 2019.

5. Akhnazarova S.L., Kafarov V.V., Metody optimizatsii eksperimenta v khimicheskoy tekhnologii (Experiment optimization methods in chemical technology), Moscow: Vysshaya shkola Publ., 1985, 327 p.

6. Montgomery D.C., Design and analysis of experiments, Hoboken: John Wiley, 2017, 629 p.

7. Grishanin M.S., Andronov S.A., Katsal I.N., Kozobkova N.A., Oil quality management: Information support (In Russ.), Truboprovodnyy transport nefti, 2016, no. 4, pp. 4–11.

8. Zakirov A.I., Obosnovanie rezhimov truboprovodnogo transporta bituminoznoy nefti (Justification of the modes of pipeline transport of bituminous oil): thesis of candidate of technical science, St. Petersburg, 2016.

9. Tashbulatov R.R., Karimov R.M., Mastobaev B.N., Makarenko O.A., Method for calculating the viscosity of multicomponent oil blend, IOP Conf. Series: Earth and Environmental Science, 2019, doi:10.1088/1755-1315/272/2/022196

10. Korshak A.A., Nechval' A.M., Proektirovanie i ekspluatatsiya gazonefteprovodov (Design and operation of gas and oil pipelines), St. Petersburg: Nedra, 2008, 488 p.

11. Remez E.Ya., Osnovy chislennykh metodov chebyshevskogo priblizheniya (Fundamentals of numerical methods of the Chebyshev approximation), Kiev: Naukova dumka Publ., 1969, 624 p.

12. Tugunov P.I., Novoselov V.F., Korshak A.A., Shammazov A.M., Tipovye raschety pri proektirovanii i ekspluatatsii neftebaz i nefteprovodov (Typical calculations in the design and operation of oil depots and oil pipelines), Ufa: DizaynPoligrafServis Publ., 2002, 658 p.

13. Vinarskiy M.S., Lur'e M.V., Planirovanie eksperimenta v tekhnologicheskikh issledovaniyakh (Planning an experiment in technological research), Kiev: Tekhnika Publ., 1975, 168 p.

14. Stephens R., Essential algorithms: a practical approach to computer algorithms, Hoboken: John Wiley, 2013, 759 p.

15. Tashbulatov R.R., Karimov R.M., Valeev A.R., Mastobaev B.N., Nodal rheological task of oil mixing for optimal distribution of flows in branched pipeline network (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2018, no 5, pp. 532–539.



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