Scientific and technical journal

«Oilfield engineering»

ISSN 0207-2351

Oilfield engineering
Preparation of geological and production data for integrated modeling of oil fields

UDC: 622.276.1/.4.001.57
DOI: 10.33285/0207-2351-2022-9(645)-25-28

Authors:

RYCHKOV ANDREY F.1,
AGUPOV MIKHAIL A.2,
VISHNYAKOV ALEXEY YU.1

1 LUKOIL Mid-East Limited, Basra, Iraq
2 LUKOIL-Engineering, Perm, Russia

Keywords: integrated modeling, reservoir modeling, data analysis, statistical analysis, input data, regression, machine learning, endogeneity

Annotation:

The article considers the problems that arise when preparing initial data in order to integrate modeling. The problems of checking the initial data, studying methods of their coordination and saturation are fundamental for the modeling processes.

Bibliography:

1. Heddle R., Foot J., Rees H. ISIS rate & phase: delivering virtual flow metering for 300 wells in 20 fields // SPE Intell. Energy Int. – 2012. – URL: https://doi.org/10.2118/150153-MS

2. Smart metering: an online application of data validation and reconciliation approach / M. Haouche, A. Tessier, Y. Deffous [et al.] // SPE Intell. Energy Int. – 2012. – URL: https://doi.org/10.2118/149908-MS

3. Model based multiphasemetering and production allocation / P. Patel, H. Odden, B. Djoric [et al.] // Offshore Technology Conference. – 2014. – URL: https://doi.org/10.4043/25457-MS

4. Box G., Jenkins G. Time series analysis: forecasting and control, rev. ed. – Oakland, California: Holden-Day, 1976.

5. Pozolotin V.E., Sultanova E.A. Primenenie algoritmov preobrazovaniya dannykh pri analize vremennykh ryadov na predmet ustraneniya vybrosov // Programmnye sistemy i vychislitel’nye metody. – 2019. – № 2.

6. Andrianov N. A Machine Learning Approach for Virtual Flow Metering and Forecasting // IFAC-PapersOnLine. – 2018. – Vol. 51(8). – P. 191–196. – DOI:10.1016/j.ifacol.2018.06.376

7. Primenenie metoda Levenberga–Markvardta dlya analiza dannykh bortovoy diagnosticheskoy sistemy lokomotiva / V.M. Bocharov, A.I. Mishin, P.A. Siryak, V.A. Mel’nichenko // Sovremennye tekhnologii. Sistemnyy analiz. Modelirovanie. – 2014. – № 2(42). – S. 86–92.

8. Listunov S.B. Issledovanie metoda resheniya zadach interpolyatsii funktsii metodom polinoma Lagranzha // Nauchnye mezhdistsiplinarnye issledovaniya: Materialy XIII Mezhdunar. nauch.-prakt. konf. / pod red. N.V. Emel’yanova. – M., 2021. – S. 34–38.

9. Motrenko A.P., Rudakov K.V., Strizhov V.V. Uchet vliyaniya ekzogennykh faktorov pri neparametricheskom prognozirovanii vremennykh ryadov // Vestn. Moskovskogo un-ta. Ser. 15. Vychislitel’naya matematika i kibernetika. – 2016. – № 2. – S. 20–27.

10. Chetverikov N.S. O nalichii lozhnoy korrelyatsii v dinamicheskom ryadu // Vestnik statistiki. – 1966. – № 11. – S. 84–87.

11. Sitdikov R.M., Filippov D.D., Mitrushkin D.A. Chislennoe modelirovanie mnogofaznykh techeniy v sopryazhennoy sisteme "plast–skvazhina–UETsN" // Preprinty IPM im. M.V. Keldysha. – 2016. – № 59. – 28 s.

12. Salamatin A.N., Konyukhov V.M. Numerical simulation of unsteady hydrodynamic processes in a well equipped with an electric centrifugal pump // J. of Soviet Mathematics. – 1992. – Vol. 61. – P. 2360–2367.