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Estimating reliability of reservoir properties determination on the basis of production analysis and pressure stabilization curves

UDK: 622.276.031.011.43
DOI: 10.24887/0028-2448-2019-8-111-113
Key words: low-permeability reservoir, formation filtration parameters, software KAPPA Workstation, production analysis, pressure stabilization curve
Authors: I.N. Ponomareva (Perm National Research Polytechnic University, RF, Perm), D.A. Martyushev (Perm National Research Polytechnic University, RF, Perm)

The article presents a comparative analysis of three methods for determining the reservoir filtration parameters: the traditional one, based on recording and processing the pressure build-up curve, and two new methods – pressure stabilization curve and production analysis. The method, based on the processing of pressure build-up curves, is theoretically justified; its reliability is confirmed by a long-term history of practical application. The predominant characteristic of the methods of the pressure stabilization curve and production analysis is the lack of a technological stage of a long well shutdown. However, it seems necessary to assess the reliability of the results shown by these methods, in comparison with the traditional method of pressure build-up curve. To solve the problem, we used materials from the records of bottomhole pressure and fluid flow rates in wells of Perm region fields. The pressure build-up and pressure stabilization curves were processed in the KAPPA Workstation v5.20.01 software package (Saphir module), the same software product (Topaz module) was used to process the production data. As a result of the analysis, we can conclude that when comparing the results high convergence was found and the error between the values was less than 5%. Thus, it is possible to use the methods of the pressure stabilization curve and production analysis for determining the parameters of low-permeable reservoirs, when this cannot be done using the pressure build-up curve because of poor data quality (under-restored pressure recovery curves), and based on the reservoir information it is possible to refine the hydrodynamic model and optimize wells operating modes.

References

1. Gulyaev D.N., Ipatov A.I., Kremenetskiy M.I. et al., Reservoir management by long-term downhole production monitoring on the example of Western Salymskoye oilfield (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2012, no. 12, pp. 36–39.

2. Davydova A.E., Shchurenko A.A., Dadakin N.M. et al., Well testing design development in carbonate reservoir (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2019, V. 330, no. 6, pp. 68–79.

3. Latysheva M.V., Ustinova Yu.V., Kashevarova V.V., Potekhin D.V., Improvement of hydrodynamic simulation using advanced techniques of hydrodynamic well data processing (exemplified by Ozernoe field) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo, 2015, no. 14, pp. 73–80.

4. Galkin V.I., Ponomareva I.N., Cherepanov S.S., Development of the methodology for evaluation of possibilities to determine reservoir types based on pressure build-up curves, geological and reservoir properties of the formation (case study of famen deposits of Ozernoe field) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2015, V. 14, no. 17, pp. 32–40.

5. Sergeev V.L., Nguen T.Kh.F., Models and algorithms for adaptive interpretation of combined well test data of intelligent wells (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2018, V. 329, no. 10, pp. 67–75.

6. Davydova A.E., Shchurenko A.A., Dadakin N.M. et al., Optimization of carbonate reservoir well testing (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2018, V. 17, no. 2, pp. 123–135.

7. Sergeev V.L., Dong V.Kh., Fam D.A., Adaptive interpretation of the results of horizontal well production testing using forecasting models (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering,, 2019, V. 330, no. 1, pp. 165–172.

8. Sergeev V.L., Vu K.D., Adaptive interpretation of pressure transient tests of horizontal wells with pseudoradial flow identification (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering,, 2017, V. 328, no. 10, pp. 67–73.

9. Sergeev V.L., Dong V.Kh., Identification of filtration flow regimes in hydrodynamic studies of horizontal wells with hydraulic fractures (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2019, V. 330, no. 3, pp. 103–110.

10. Fei Wang, Shicheng Zhang, Pressure-buildup analysis method for a post-treatment evaluation of hydraulically fractured tight gas wells, Journal of Natural Gas Science and Engineering, 2016, V. 35, pp. 753–760.

11. Yi-Zhao Wan, Yue-Wu Liu, Fang-Fang Chen et al., Numerical well test model for caved carbonate reservoirs and its application in Tarim Basin, China, Journal of Petroleum Science and Engineering, 2018, V. 161, pp. 611–624.

12. Iktisanov V.A., Sakhabutdinov R.Z., Evaluation of effectiveness of EOR and bottomhole treatment technologies using rate transient analysis (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 5, pp. 77–76.

The article presents a comparative analysis of three methods for determining the reservoir filtration parameters: the traditional one, based on recording and processing the pressure build-up curve, and two new methods – pressure stabilization curve and production analysis. The method, based on the processing of pressure build-up curves, is theoretically justified; its reliability is confirmed by a long-term history of practical application. The predominant characteristic of the methods of the pressure stabilization curve and production analysis is the lack of a technological stage of a long well shutdown. However, it seems necessary to assess the reliability of the results shown by these methods, in comparison with the traditional method of pressure build-up curve. To solve the problem, we used materials from the records of bottomhole pressure and fluid flow rates in wells of Perm region fields. The pressure build-up and pressure stabilization curves were processed in the KAPPA Workstation v5.20.01 software package (Saphir module), the same software product (Topaz module) was used to process the production data. As a result of the analysis, we can conclude that when comparing the results high convergence was found and the error between the values was less than 5%. Thus, it is possible to use the methods of the pressure stabilization curve and production analysis for determining the parameters of low-permeable reservoirs, when this cannot be done using the pressure build-up curve because of poor data quality (under-restored pressure recovery curves), and based on the reservoir information it is possible to refine the hydrodynamic model and optimize wells operating modes.

References

1. Gulyaev D.N., Ipatov A.I., Kremenetskiy M.I. et al., Reservoir management by long-term downhole production monitoring on the example of Western Salymskoye oilfield (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2012, no. 12, pp. 36–39.

2. Davydova A.E., Shchurenko A.A., Dadakin N.M. et al., Well testing design development in carbonate reservoir (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2019, V. 330, no. 6, pp. 68–79.

3. Latysheva M.V., Ustinova Yu.V., Kashevarova V.V., Potekhin D.V., Improvement of hydrodynamic simulation using advanced techniques of hydrodynamic well data processing (exemplified by Ozernoe field) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo, 2015, no. 14, pp. 73–80.

4. Galkin V.I., Ponomareva I.N., Cherepanov S.S., Development of the methodology for evaluation of possibilities to determine reservoir types based on pressure build-up curves, geological and reservoir properties of the formation (case study of famen deposits of Ozernoe field) (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2015, V. 14, no. 17, pp. 32–40.

5. Sergeev V.L., Nguen T.Kh.F., Models and algorithms for adaptive interpretation of combined well test data of intelligent wells (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2018, V. 329, no. 10, pp. 67–75.

6. Davydova A.E., Shchurenko A.A., Dadakin N.M. et al., Optimization of carbonate reservoir well testing (In Russ.), Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo = Perm Journal of Petroleum and Mining Engineering, 2018, V. 17, no. 2, pp. 123–135.

7. Sergeev V.L., Dong V.Kh., Fam D.A., Adaptive interpretation of the results of horizontal well production testing using forecasting models (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering,, 2019, V. 330, no. 1, pp. 165–172.

8. Sergeev V.L., Vu K.D., Adaptive interpretation of pressure transient tests of horizontal wells with pseudoradial flow identification (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering,, 2017, V. 328, no. 10, pp. 67–73.

9. Sergeev V.L., Dong V.Kh., Identification of filtration flow regimes in hydrodynamic studies of horizontal wells with hydraulic fractures (In Russ.), Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2019, V. 330, no. 3, pp. 103–110.

10. Fei Wang, Shicheng Zhang, Pressure-buildup analysis method for a post-treatment evaluation of hydraulically fractured tight gas wells, Journal of Natural Gas Science and Engineering, 2016, V. 35, pp. 753–760.

11. Yi-Zhao Wan, Yue-Wu Liu, Fang-Fang Chen et al., Numerical well test model for caved carbonate reservoirs and its application in Tarim Basin, China, Journal of Petroleum Science and Engineering, 2018, V. 161, pp. 611–624.

12. Iktisanov V.A., Sakhabutdinov R.Z., Evaluation of effectiveness of EOR and bottomhole treatment technologies using rate transient analysis (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 5, pp. 77–76.


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