«Oilfield engineering»

Analysis of reliability of estimation of wells drainage area in a carbonate reservoir based on geological and operational parameters

UDC: 622.276.1/.4:552.54
DOI: -

Authors:

¹ Perm National Research Polytechnic University, Perm, Russia

Keywords: well drainage area, carbonate reservoir, well testing, reservoir pressure, bottomhole pressure, water cut, Pearson correlation coefficient, step-by-step regression analysis

Annotation:

The authors of the article devote it to the research of carbonate reservoirs coverage by the drainage process when developing oil fields. The authors of the article analyze the reliability of well drainage area estimation by applying the methods based on the interpretation of well testing data – internal algorithms of Saphir program module and E.B. Chekalyuk method. Calculations of wells drainage radii and their statistical processing were performed to reveal correlations of indicators with factual geological and operational parameters obtained during the period of development of one of the oil fields in the Perm region. Development of a series of multivariate mathematical models during step-by-step regression analysis of field data allowed establishing the fact that the most reliable assessment of well drainage area in carbonate reservoirs is provided by using the Saphir program module. By means of frequency analysis of occurrence of geological and operational parameters in the developed statistical models the parameters influencing the radius of well drainage (reservoir pressure, bottomhole pressure, diagnostic criterion of the method of deterministic pressure moments, water cut) were selected and ranged, which was additionally confirmed by the order of inclusion of these parameters in the dependencies. The application of Student’s t-test and Mann – Whitney’s U-test allowed justifying the drainage area widening of wells operating in a carbonate formation as reservoir pressure, bottomhole pressure and hydraulic conductivity increase. The obtained results can be used in designing the development of complexly-built carbonate reservoirs of oil fields to substantiate the coefficient of a reservoir’s coverage by the drainage process.

Bibliography:

1. Chukhlov A.S., Sal’nikova O.L., Chernykh V.I. Otsenka vliyaniya geologo-fizicheskikh kharakteristik zalezhey so slozhnym geologicheskim stroeniem na usloviya pritoka uglevodorodov // Nedropol’zovanie. – 2022. – T. 22, № 1. – S. 9–14. – URL: https://doi.org/10.15593/2712-8008/2022.1.2

2. Martyushev D.A., Vinogradov J. Development and application of a double action acidic emulsion for improved oil well performance: laboratory tests and field trials // Colloids and Surfaces A: Physicochemical and Engineering Aspects. – 2021. – Vol. 612. – P. 125998. – URL: https://doi.org/10.1016/j.colsurfa.2020.125998

3. Acid stimulation in carbonates: a laboratory test of a wormhole model based on Damköhler and Péclet numbers / H. Al-Arji, A. Al-Azman, F. Le-Hussain, K. Regenauer-Lieb // J. of Petroleum Science and Engineering. – 2021. – Vol. 203. – P. 108593. – URL: https://doi.org/10.1016/j.petrol.2021.108593

4. Martyushev D.A., Ponomareva I.N. Issledovanie osobennostey vyrabotki zapasov treshchinno-porovykh kollektorov s ispol’zovaniem dannykh gidrodinamicheskikh issledovaniy skvazhin // Neft. khoz-vo. – 2017. – № 10. – S. 102–104.

5. Poplygin V.V. Otsenka okhvata plasta sistemoy razrabotki s pomoshch’yu radiusa drenirovaniya skvazhin // Izv. Tomskogo politekhnicheskogo un-ta. Inzhiniring georesursov. – 2020. – T. 331, № 4. – S. 215–220. – URL: https://doi.org/10.18799/24131830/2020/4/2609

6. Buzinov S.N., Umrikhin I.D. Gidrodinamicheskie metody issledovaniya skvazhin i plastov. – M.: Nedra, 1973. – 248 s.

7. Ponomareva I.N., Martyushev D.A., Akhmetova M.I. Otsenka optimal’noy prodolzhitel’nosti provedeniya gidrodinamicheskikh issledovaniy nizkoproduktivnykh skvazhin na primere Ozernogo mestorozhdeniya // Neft. khoz-vo. – 2016. – № 1. – S. 60–63.

8. Novikov V.A. Metodika prognozirovaniya effektivnosti matrichnykh kislotnykh obrabotok karbonatov // Nedropol’zovanie. – 2021. – T. 32, № 3. – S. 137–143. – URL: https://doi.org/10.15593/2712-8008/2021.3.6

9. Ponomareva I.N., Savchik M.B., Erofeev A.A. Usloviya primeneniya skin-faktora dlya otsenki sostoyaniya priskvazhinnykh zon produktivnykh plastov // Neft. khoz-vo. – 2011. – № 7. – S. 114–115.

10. Erofeev A.A., Ponomareva I.N., Mordvinov V.A. Obrabotka nedovosstanovlennykh krivykh vosstanovleniya davleniya metodami kasatel’noy i determinirovannykh momentov davleniya // Neft. khoz-vo. – 2011. – № 10. – S. 25–27.

11. Ponomareva I.N., Galkin V.I. Primenenie mnogourovnevogo statisticheskogo modelirovaniya dlya otsenki vzaimodeystviya mezhdu nagnetatel’nymi i dobyvayushchimi skvazhinami // Neftepromyslovoe delo. – 2020. – № 4(616). – S. 6–9. – DOI: 10.30713/2351-0207-2020-4(616)-6-9

12. Metodika opredeleniya zaboynogo davleniya s ispol’zovaniem mnogomernykh modeley / V.I. Galkin, I.N. Ponomareva, I.A. Chernykh [i dr.] // Neft. khoz-vo. – 2019. – № 1. – S. 40–43. – URL: https://doi.org/10.24887/0028-2448-2019-1-40-43

13. Martyushev D.A., Ilyushin P.Yu. Ekspress-otsenka vzaimodeystviya mezhdu dobyvayushchimi i nagnetatel’nymi skvazhinami na turne-famenskoy zalezhi Ozernogo mestorozhdeniya // Vestn. Permskogo natsional’nogo issledovatel’skogo politekhnicheskogo un-ta. Geologiya. Neftegazovoe i gornoe delo. – 2016. – T. 15, № 18. – S. 33–41.

14. Ponomareva I.N., Martyushev D.A., Chernyy K.A. Issledovanie vzaimodeystviya mezhdu nagnetatel’nymi i dobyvayushchimi skvazhinami na osnove postroeniya mnogourovnevykh modeley // Izv. Tomskogo politekhnicheskogo un-ta. Inzhiniring georesursov. – 2021. – T. 332, № 2. – S. 116–126.

15. Acid treatment of carbonate reservoir with a new dual action microemulsion: selection of optimal application conditions / R.A. Derendyaev, V.A. Novikov, D.A. Martyushev [et al.] // J. of Petroleum Science and Engineering. – 2022. – Vol. 216. – P. 110809. – URL: https://doi.org/10.1016/j.petrol.2022.110809

16. Nachar N. The Mann-Whitney U: a test for assessing whether two independent samples come from the same distribution // Tutorials in Quantitative Methods for Psychology. – 2008. – Vol. 4, Issue 1. – P. 13–20. – URL: https://doi.org/10.20982/tqmp.04.1.p013

17. Ponomareva I.N., Galkin V.I., Martyushev D.A. Operational method for determining bottom hole pressure in mechanized oil producing wells, based on the application of multivariate regression analysis // Petroleum Research. – 2021. – Vol. 6, Issue 4. – P. 351–360. – URL: https://doi.org/10.1016/j.ptlrs.2021.05.010