Estimating drainable gas reserves by the method of material balance
https://doi.org/10.31660/0445-0108-2022-6-56-72
Abstract
The algorithm of estimating the reserves of gas deposits by the material balance method is described. The advantages of this method are the use of rather precise field technological information for calculations and the possibility of regular checks for compliance with the actual nature of field development. However, there are problems of practical application of this method. One of them is the determination of average weighted pressure for the whole gas-saturated volume, especially for low permeable reservoirs with deep depression craters around wells. The process of correct determination of weighted average pressure by means of isobar map and map of effective gassaturated thicknesses of gas reservoirs is proposed and described. Another problem is the long time interval between measurements of reservoir pressure during the field development. We offer the method that allows increasing frequency of isobar mapping by interpolation of reservoir pressure values by calculating this value through the productivity of wells in order to perform operational analysis of the field development. The input data for the calculation are the dynamics of gas flow rate and wellhead pressure dynamics. This approach allows us to estimate formation pressure around each well outside the de-resistivity funnel at any time. The article presents the results of testing the proposed method under field conditions at one of the Yamal fields. The results of the analysis show the difference in the volume of drained reserves with the geological model for a low permeable layer. The difference in the reserves volume estimation by the material balance method using the isobar map was 18 % of the initial geological reserves. The analysis of the reasons of divergence of the drilled reserves was carried out and the fact of differently sorted excavation along the section and the presence of uninvolved reserves was revealed.
About the Authors
A. A. KislitsynRussian Federation
Anatoliy A. Kislitsyn, Doctor of Physics and Mathematics, Professor at the Department of Applied and Technical Physics
Tyumen
S. V. Kuznetsov
Russian Federation
Sergey V. Kuznetsov, Candidate of Physics and Mathematics, Project Coordinator
Tyumen
References
1. Zhdanov, M. A. (1981). Neftegazopromyslovaya geologiya i podschet zapasov nefti i gaza. 2nd edition, revised and expanded. Moscow, Nedra Publ., 453 p. (In Russian).
2. Gutman, I. S. (1985). Metody podscheta zapasov nefti i gaza. Moscow, Nedra Publ., 223 p. (In Russian).
3. Oreshkin, I. V., Loginova, M. P., & Kolotukhin, A. T. (2015). Podschet zapasov i ocenka resursov nefti i gaza. Saratov, Volzhskiy nauchno-issledovatel'skiy institut geologii i geofiziki Publ., 96 p. (In Russian).
4. Gutman, I. S., & Saakyan, M. N. (2013). Optimization of the formula to volumetric calculate the oil and gas reserves. Nedropolzovanie XXI vek, (2(39)), pp. 36-42. (In Russian).
5. Efremov, A. A., Laperdin, A. N., & Maslov, V. N. (2011). Opredelenie srednevzveshennogo plastovogo davleniya pri podschete zapasov metodom material'nogo balansa. Nauka i TEK, (5), pp. 56-58. (In Russian).
6. Laperdin, A. N., Efremov, A. A., & Khilko, V. A. (2011). Analiz effektivnosti metodov podscheta zapasov gaza dlya razrabatyvaemykh zalezhey severa Zapadnoy Sibiri. Nauka i TEK, (5), pp. 52-55. (In Russian).
7. Efremov, A. A. (2013). Evaluation of the reserves estimation methods effecttiveness for gas deposits. Higher Educational Institutions News. Neft' i Gas, (5(101)), pp. 11-17. (In Russian).
8. Sutoyo, H. R., Ariadji, T., Aziz, P. A., & Mahendra, M. L. (2015). How Powerful Material Balance Analysis Method for Predicting Gas Flooding Performance. SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, Nusa Dua, Bali, Indonesia, October 2015. (In English). Available at: https://doi.org/10.2118/176253-MS
9. Kabir, C. S., Parekh, B., & Mustafa, M. A. (2016). Material-balance analysis of gas and gas-condensate reservoirs with diverse drive mechanisms. Journal of Natural Gas Science and Engineering, (32), pp. 158-173. (In English). DOI: 10.1016/j.jngse.2016.04.004
10. Efremov, A. A. (2014). Package of measures aimed at extension of the gas deposits operation commercial period. Higher Educational Institutions News. Neft' i Gas, (2(104)), pp. 28-34. (In Russian).
11. Fedortsov, V. K., & Bazhanova, E. V. (2012). Podschet zapasov gaza metodom material'nogo balansa po materialam razrabotki zalezhi v rezhime estestvennogo istoshcheniya. Gornye Vedomosti, (6(97)), pp. 66-73. (In Russian).
12. Jiao, Y., Xia, J., Liu, P., Zhang, J., Li, B., Tian, Q., & Wu, Y. (2017). New material balance analysis method for abnormally high-pressured gas-hydrocarbon reservoir with water influx. International Journal of Hydrogen Energy, 42(29), pp. 18718-18727. (In English). DOI: 10.1016/j.ijhydene.2017.04.190
13. Shi, J., Chang, Y., Wu, S., Xiong, X., Liu, C., & Feng, K. (2018). Development of material balance equations for coalbed methane reservoirs considering dewatering process, gas solubility, pore compressibility and matrix shrinkage. International Journal of Coal Geology, 195, pp. 200-216. (In English). DOI: 10.1016/j.coal.2018.06.010
14. Han, G., Liu, M., & Li, Q. (2020). Flowing material balance method with adsorbed phase volumes for unconventional gas reservoirs. Energy Exploration & Exploitation, 38(2), pp. 519-532. (In English). DOI: 10.1177/0144598719880293
15. Altunin, A. E., & Semukhin, M. V. (2005). Raschety v usloviyakh riska i neopredelennosti v neftegazovykh tekhnologiyakh. Tyumen, Tyumen State University Publ., 220 p. (In Russian).
16. Altunin, A. E., Semukhin, M. V., & Yadryshnikova, O. A. (2017). Probabilistic and Fuzzy Models to Evaluate Uncertainties and Risks Related to HC Reserves Estimation. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, 3(2), pp. 85-99. (In Russian). DOI: 10.21684/2411-7978-2017-3-2-85-99
17. Akhmedov, E. H., & Rahimov, F. V. (2018). Estimation of oil and Gas reserves and risk assessment using international methods. Molodezh v nauke: Proceedings of the International Conference of Young Scientists: in 2 parts. Minsk, pp. 324-332. (In Russian).
18. Podnebesnykh, A. V., Malyshevskaya, K. A., Malyshevskaya, T. S., & Ovchinnikov, V. P. (2014). Integrated approach to investigation of gas cap in the formation PK1-3. Higher Educational Institutions News. Neft' i Gas, (6), pp. 13-18. (In Russian).
19. Kislitsyn, A. A., Kuznetsov, S. V., Podnebesnykh, A. A., & Granovsky, A. M. (2019). Using neural networks for predicting the dynamics of water cut of horizontal wells. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, 5(4(20)), pp. 160-180. (In Russian). DOI: 10.21684/2411-7978-2019-5-4-160-180
20. Kislitsyn, A. A., & Kuznetsov, S. V. (2020). Evaluation of drainable gas reserves by the method of material balance. Geology and mineral resources of the northeast of Russia: Proceedings of the 10th All-Russian Scientific and Practical Conference with international participation. Yakutsk, pp. 218-222. (In Russian).
21. Charnyy, I. A. (1963). Podzemnaya gidrogazodinamika. Moscow, Gostoptekhizdat Publ., 396 p. (In Russian).
22. Aliev, Z. S., & Bondarenko, V. V. (2004). Issledovanie gorizontal'nykh skvazhin. Moscow, Neft' i gaz Publ., 300 p. (In Russian).
23. Sokhoshko, S. K. (2016). Profile of the inflow to a sloping gas well bore in the stationary mode. Oilfield Engineering, (5), pp. 26-29. (In Russian).
24. Kolbikov, S. V. (1999). Metody podscheta zapasov po padeniyu plastovogo davleniya. Gazovaya promyshlennost', (1), pp. 18-22. (In Russian).
Review
For citations:
Kislitsyn A.A., Kuznetsov S.V. Estimating drainable gas reserves by the method of material balance. Oil and Gas Studies. 2022;(6):56-72. (In Russ.) https://doi.org/10.31660/0445-0108-2022-6-56-72