Abstract
This work is aimed at developing new approaches and at improvement of control of oil-producing wells and an oilfield as a whole based on artificial intelligence methods. A three-tier system of intelligent oilfield control that ensures optimization of oil production and the operation of equipment is proposed; the essential features of the applied artificial intelligence tools that are required for implementation at all levels are described. The concept and the proposals that are made in the work can be a starting point for future research and for building real intelligent wells and intelligent oilfields.
Similar content being viewed by others
References
Oilconf 2013. http://www.oilconference.ru/#!newsand-publications/c17jc. Cited April 7, 2014.
Moscow Section of the International Society of Petroleum Engineers SPE–SPE MOSCOW SECTION. http://www.spe-moscow.org/ru/news/index.php?id=217. Cited April 7, 2014.
Oil Production, Refining, Chemicals–V International specialized exhibition in Samara. http://packer-service.ru/news_2011-10_gasoilexpo_2011_samara.html. Cited April 7, 2014.
Smart well–What is it? Oil, Gas, Innovations, 2011, no. 11. http://neft-gaz-novacii.ru/ru/component/content/article/674-l-r-. Cited April 7, 2014.
Kul’chitskii, V.V., Addressing the participants of the round table on smaret wells. http://www.weatherford.ru/assets/files/pdf/NGN_11_discussion_article.p df. Cited April 7, 2014.
Pchelnikov, R.L. Mironov, D.V., et al., Smart alarms tool development approach for oil production monitoring system (SPE 166378), SPE: Upravlenie Tsifrovym Mestorozhdeniem (SPE: Digital Mining Field Management), 2013.
Shevchenko, S.D. Mironov, D.V., et al., Samotlor: Optimization of production in real time for the largest deposit in Russia (SPE 149615), SPE: Upravlenie Tsifrovym Mestorozhdeniem (SPE: Digital Mining Field Management), 2013.
Ignat’ev, V., Intelligent control systems, Neftegazov. Vertikal’, 2011, no. 21, pp. 24–32. http://ngv.ru/upload/iblock/78f/78fe66c2e4d54c4d41fa0f510fc01a03.pdf. Cited April 7, 2014.
Production optimization and smart wells. http://www.weatherford.ru/ru/service/production/53. Cited April 7, 2014.
Digital intelligent control systems for oil fields. http://lstart.ru/proucts/resheniya_dlya_neftyanoy_promyshle nnosti/intellektualnye_sistemy_upravleniya_neftyanymi_ polyami/. Cited April 7, 2014.
Controller of intelligent control and simulation of wells. http://naftamatika.com/wpcontent/uploads/2011/05/BrochureRussia.pdf. Cited April 7, 2014.
Smart wells. Optimization of energy consumption of oil production through intelligent control of oil submersible pumps. Register of innovative products, technologies and services recommended for use in the Russian Federation. http://innoprod.startbase.ru/products/23938/. Cited April 7, 2014.
Lepekhin, V.I., Vidyakin, N.G., Valeev, A.S., and Kan, A.G., ZAO ELEKTON: Our ideas and perspectives, Neftyan. Khoz., 2004, no. 5. http://www.elekton.ru/article1.shtml. Cited April 7, 2014.
Golubyatnikov, M.B. and Ganeev, A.R., Intelligent control station for downhole sucker rod pumps. http://knowledge.allbest.ru/geology/d-3c0b65635b2bd78a5c43a89421316d27.html. Cited April 7, 2014.
Business plan of the Smart Wells project (development of the smart well system based on the shape memory effect for dual-partite and sequential extraction of hydrocarbons). http://www.pandia.ru/text/77/178/27887.php. Cited April 7, 2014.
Use of intelligent valves in harsh conditions. 2006. http://controlengrussia.com/artykul/article/ispolzovanieintellektualnykh-zadvizhek-v-tjazhelykh-us/, http://controlengrussia.com/verkhnee-menju/na-glavnuju/. Cited April 7, 2014.
Kravtsov, M., Smart mining field: New opportunities and new solutions. http://ozna.ru/presscenter/articles/detail.php?SECTION_ID=&ELEMENT_ID= 1414. Cited April 7, 2014.
Kabaev, M.V., Smart extraction control in the TsDNG4(T) Tevlino-Russkinskoye field, Inzh. Prakt., 2010, no. 10. http://www.glavteh.ru/files/IP-10_Kabaev.pdf. Cited April 7, 2014.
Adaptive system for downhole monitoring and control to optimize the operation of the well (Smart Well). http://www.tc-irz.ru/tek?Id=76&Pic=1. Cited April 7, 2014.
Ivanovskii, B.N. and Sabirov, A.A., On the question of intellectualization of oil production. http://neftegas.info/territoriya-neftegaz/3216-k-voprosuob-intellektualizacii-dobychi-nefti.html. Cited April 7, 2014.
Osipov, G.S., Dynamic models and tools that use empirical and expert knowledge, Trudy 3-go rasshirennogo seminara “Ispol’zovanie metodov iskusstvennogo intellekta i vysokoproizvoditel’nykh vychislenii v aerokosmicheskikh issledovaniyakh” (Proc. 3rd Expanded Seminar on the use of artificial intelligence methods and high-performance computing in aerospace research), Pereslavl-Zalesskii: Feniks, 2003, pp. 17–27.
Osipov, G.S., Metody iskusstvennogo intellekta (Artificial Intelligence Techniques), Moscow: Fizmatlit, 2011.
Osipov, G.S., Priobretenie znanii intellektual’nymi sistemami: Osnovy teorii i tekhnologii (Acquisition of Knowledge by Intelligent Systems: Basics of Theory and Technology), Moscow: Fizmatlit, 1997.
Solov’ev, I.G., Control and management of the hydrodynamics well system in non-stationary environments. http://www.ipdn.ru/rics/pdf/543.pdf. Cited April 7, 2014.
Solov’ev, I.G. and Fomin, V.V., A mathematical model of the process of development of wells with UENTs after the killing. http://www.ipdn.ru/rics/doc0/DB/b4/1-solf.htm. Cited April 7, 2014.
Zhukova, S.V., Zolotukhin, Yu.N., and Rakhmanova, L.A., Genetic approach and fuzzy estimation in optimization of PID-controllers, in ROI-98. Raspredelennaya obrabotka informatsii. Trudy shestogo mezhdunarodnogo seminara (ROI-98. Distributed data processing. Proc. 6th Int. Sem.),Novosibirsk, 1998, pp. 313–317.
Vinogradov, A.N., Zhilyakova, L.Yu., and Osipov, G.S., Dynamic intelligent systems. I. Submission of knowledge and basic algorithms, Izv. Akad. Nauk. Teor. Sist. Upr., Moscow: Nauka, 2002, no. 6, pp. 119–127.
Vinogradov, A.N., Zhilyakova, L.Yu., and Osipov, G.S., Dynamic intelligent systems. II. Modeling of purposeful behavior, Izv. Akad. Nauk. Teor. Sist. Upr., Moscow: Nauka, 2003, no. 1, pp. 87–94.
Balkova, A., A precision electric drive with brushless motor, Electron. Compon., 2008, no. 11. pp. 32–43. http://www.russianelectronics.ru/leaderr/review/40498/doc/44462/. Cited April 7, 2014.
Makarov, D.A., The method for adjusting the PID controller based on expert knowledge, Teoriya and Praktika Sistemnogo Analiza: Trudy I Vserossiiskoi Nauchnoi Konferentsii Molodykh Uchenykh (Theory and Practice of System Analysis: Proc. 1st All-Russian Sci. Conf. of Young Scientists), Rybinsk, 2010, vol. 1, pp. 67–73.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.F. Zadneprovskii, V.P. Fralenko, M.V. Khachumov, 2014, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2014, No. 4, pp. 59–67.
About this article
Cite this article
Zadneprovskii, V.F., Fralenko, V.P. & Khachumov, M.V. Intellectual technologies in the management of oil fields. Sci. Tech.Inf. Proc. 42, 448–454 (2015). https://doi.org/10.3103/S0147688215060131
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0147688215060131