Experimental studies of the automated system efficiency used for scientific researches of gas production facilities survivability
UDC: 004:621.67:622.279
DOI: -
Authors:
VALEEV ARTEM F.
1,2,
SOLOVYOV NIKOLAY A.
2,
FATNEV ALEXANDER V.
1,2,
KOLUBAEV ALEXANDER S.
1,
SAMARTSEV SERGEY K.
1
1 Gazprom dobycha Orenburg, Orenburg, Russia
2 Orenburg State University, Orenburg, Russia
Keywords: automated scientific research system, gas extraction, water flooding, survivability, simulation modeling, experiment
Annotation:
The problem of assessing the effectiveness of the automated scientific research system (ASRS) of gas production facilities (GPF) at the late stages of a field development becomes wells flooding, which dramatically increases the technical complexity and resource cost of conducting experiments. It is proposed to use the little-studied concept of GPF survivability to assess the ef fectiveness of ASRS GPF. The development of a methodology for ASRS experimental studies of GPF survivability is becoming an urgent scientific task. To conduct experimental studies of ASRS of GPF survivability, a scheme of simulation and analytical modeling is proposed that provides calculation of performance indicators, resource intensity, operational time and survivability coefficient for various technologies of GPF operation complicated by flooding. Experimental studies are carried out using the information and software of the modeling system, which is an integral part of ASRS of GPF survivability. A plan of experimental studies has been developed and limitations of factors have been determined. The results of experimental studies of ASRS of GPF survivability based on simulation and analytical modeling were evaluated. Based on the results of the experiment, the best option for ensuring survivability (ES) at the specified characteristics of GPF in water flooding conditions is an option using controlled pumping of reservoir fluid – an electric centrifugal pump. The developed ASRS of GPF survivability can be used as an instrument that automates the information processes of scientific research on the selection of ES. Recommendations are given for ensuring GPF survivability of the Orenburg oil and gas condensate field using ES based on the studies of the proposed ASRS.
Bibliography:
1. Valeev A.F. Informatsionno-programmnoe obespechenie avtomatizirovannoy sistemy nauchnykh issledovaniy zhivuchesti ob"ektov dobychi gaza // Programmnye produkty i sistemy. – 2023. – T. 36, № 2. – S. 263–271. – DOI: 10.15827/0236-235X.142.263-271
2. Lea J.F., Nickens H.V., Wells M.R. Gas Well Deliquification. – Elsevier Inc., 2008. – 608 p. – DOI: 10.1016/B978-0-7506-8280-0.X5001-X
3. Andreev A.F., Zubareva V.D., Sarkisov A.S. Otsenka effektivnosti i riskov innovatsionnykh proektov neftegazovoy otrasli: ucheb. posobie. – M.: MAKS Press, 2007. – 240 s.
4. Skripkin K.G. Ekonomicheskaya effektivnost' informatsionnykh sistem v Rossii: monogr. – M.: MAKS Press, 2014. – 156 s.
5. Ish D., Ettinger J., Ferris C. Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis. – Santa Monica, Calif.: RAND Corporation, 2021. – XX, 89 p. – URL: https://www.strategicfront.org/forums/attachments/rand_rra464-1-pdf.21226/ (data obrashcheniya 23.03.2024).
6. Sovetov B.Ya., Yakovlev S.A. Modelirovanie sistem: ucheb. dlya vuzov — 3-e izd., pererab. i dop. – M.: Vysshaya shk., 2001. – 343 s.
7. Shennon R. Imitatsionnoe modelirovanie sistem – iskusstvo i nauka. – M.: Mir, 1978. – 420 s.
8. Kostin V.N., Panichev V.V. Teoriya eksperimenta: ucheb. posobie. – Orenburg: OGU, 2014. – 212 s.
9. Solov'ev N.A., Valeev A.F. Razvitie modeli zhivuchesti sistemy dobychi gaza v usloviyakh obvodneniya skvazhin // Dokl. TUSUR. – 2022. – T. 25, № 1. – S. 93–100. – DOI: 10.21293/1818-0442-2021-25-1-93-100
10. Aliev Z.S., Marakov D.A. Razrabotka mestorozhdeniy prirodnykh gazov: ucheb. posob. – M.: MAKS Press, 2011. – 340 s.
11. Solov'ev N.A., Valeev A.F., Salikhov A.O. Modelirovanie v zadache vosstanovleniya promyshlennoy dobychi gaza iz obvodnennykh skvazhin // Avtomatizatsiya, telemekhanizatsiya i svyaz' v neftyanoy prom-sti. – 2017. – № 11. – S. 7–10.