Study of reservoir parameters between wells without production deferment for formation pressure maintenance system implementation in Eastern Siberia carbonate reservoirs

UDK: 622.276.031.011.43
DOI: 10.24887/0028-2448-2020-9-38-43
Key words: carbonate reservoirs, reservoir pressure maintenance, reservoir connectivity, interference testing, pulse-code testing
Authors: V.Yu. Kim (Irkutsk Oil Company, RF, Irkutsk), А.М. Aslanyan (Nafta College, RF, Kazan), D.N. Gulyaev (Sofoil LLC, RF, Kazan; Gubkin University, RF, Moscow), R.R. Farakhova (Sofoil LLC, RF, Kazan)
One of the key factors in oil production and field recovery increase is pressure maintaince system optimization. It is not a straightforward process even in relatively homogeneous well connected sands, but in reservoirs with a complex pore structures it become very hard to implement it and make in efficient. Carbonate deposits are characterized by a high degree of heterogeneity, both vertically and areal, and the lack of communication between the layers and faulted blocks. For the organization of an effective pressure maintenance system, information about the connectivity of the reservoir in the interwell space, data on its permeability distribution are crucial. The applicability of pulse code testing (PCT) was evaluated by pilot job and synthetic tests. One field pilot and 8 numerical tests were carried out. PCT provides reservoir boundaries, diffusivity and transmissibility of the connected part of the formation between wells and unit rate pressure impact without production deferment. Reservoir permeability and connected thickness can be calculated from diffusivity and transmissibility. It provides best candidates for conversion to injectors and wells with suspects to cross-flows for production logging and workovers. PCT results in synthetic tests are in good convergence of the generated reservoir properties and the data obtained by PCT, which indicates a high degree of reliability even in in a low permeable formations and in the presence of significant noise on the pressure curve. It is confirmed not only by matching the results of synthetic tests, but also by commercial implementation of the PCT for interwell analysis at the field.
References
1. Aslanyan A., Aslanyan I., Farakhova R., Application of multi-well pressure pulse-code testing for 3D model calibration, SPE-181555-MS, 2016.
2. Myakeshev N., Aslanyan A., Farakhova R., Gainutdinova L., Carbonate reservoir waterflood efficiency monitoring with cross-well pulse-code pressure testing, SPE-189258-MS, 2017.
3. Sabzabadi A., Masoudi R., Arsanti D. et al., Verifying local oil reserves using multi-well pressure pulse code testing, OTC-28601-MS, 2018.
4. Aslanyan A., Kovalenko I., Ilyasov I. et al., Waterflood study of high viscosity saturated reservoir with multiwell retrospective testing and cross-well pressure pulse-code testing, SPE-193712-MS, 2018.
5. Aslanyan A., Ganiev B., Lutfullin A. et al., Localization of the remaining reserves of r oilfield with pulse code pressure testing, SPE-196338-MS, 2019.
6. Taipova V., Aslanyan A., Aslanyan A., Aslanyan I et al., Verifying reserves opportunities with multi-well pressure pulse-code testing (In Russ.), SPE-187927-RU, 2017.
7. Aslanyan A., Asmadiyarov R., Kaeshkov I. et al., Multiwell deconvolution as important guideline to production optimisation: Western Siberia case study, IPTC-19566-MS, 2019.
8. Aslanyan A., Grishko F., Krichevsky V. et al., Assessing waterflood efficiency with deconvolution based multi-well retrospective test technique, SPE-195518-MS, 2019.
9. Aslanyan A., Gilfanov A., Gulyaev D. et al., Dynamic reservoir-pressure maintenance system study in carbonate reservoir with complicated pore structure by production analysis, production logging and well-testing, SPE-187776-MS, 2017.
10. Kaliyev B., Mutaliyev G., Aibazarov M. et al., Well spacing verification at gas condensate field using deconvolution driven long-term pressure and rate analysis, SPE-196925-MS, 2019.
11. Aslanyan A., Ganiev B., Lutfullin A. et al., Assessing efficiency of multiwell retrospective testing MRT in analysis of cross-well interference and prediction of formation and bottom- hole pressure dynamics, SPE-196839-MS, 2019.
One of the key factors in oil production and field recovery increase is pressure maintaince system optimization. It is not a straightforward process even in relatively homogeneous well connected sands, but in reservoirs with a complex pore structures it become very hard to implement it and make in efficient. Carbonate deposits are characterized by a high degree of heterogeneity, both vertically and areal, and the lack of communication between the layers and faulted blocks. For the organization of an effective pressure maintenance system, information about the connectivity of the reservoir in the interwell space, data on its permeability distribution are crucial. The applicability of pulse code testing (PCT) was evaluated by pilot job and synthetic tests. One field pilot and 8 numerical tests were carried out. PCT provides reservoir boundaries, diffusivity and transmissibility of the connected part of the formation between wells and unit rate pressure impact without production deferment. Reservoir permeability and connected thickness can be calculated from diffusivity and transmissibility. It provides best candidates for conversion to injectors and wells with suspects to cross-flows for production logging and workovers. PCT results in synthetic tests are in good convergence of the generated reservoir properties and the data obtained by PCT, which indicates a high degree of reliability even in in a low permeable formations and in the presence of significant noise on the pressure curve. It is confirmed not only by matching the results of synthetic tests, but also by commercial implementation of the PCT for interwell analysis at the field.
References
1. Aslanyan A., Aslanyan I., Farakhova R., Application of multi-well pressure pulse-code testing for 3D model calibration, SPE-181555-MS, 2016.
2. Myakeshev N., Aslanyan A., Farakhova R., Gainutdinova L., Carbonate reservoir waterflood efficiency monitoring with cross-well pulse-code pressure testing, SPE-189258-MS, 2017.
3. Sabzabadi A., Masoudi R., Arsanti D. et al., Verifying local oil reserves using multi-well pressure pulse code testing, OTC-28601-MS, 2018.
4. Aslanyan A., Kovalenko I., Ilyasov I. et al., Waterflood study of high viscosity saturated reservoir with multiwell retrospective testing and cross-well pressure pulse-code testing, SPE-193712-MS, 2018.
5. Aslanyan A., Ganiev B., Lutfullin A. et al., Localization of the remaining reserves of r oilfield with pulse code pressure testing, SPE-196338-MS, 2019.
6. Taipova V., Aslanyan A., Aslanyan A., Aslanyan I et al., Verifying reserves opportunities with multi-well pressure pulse-code testing (In Russ.), SPE-187927-RU, 2017.
7. Aslanyan A., Asmadiyarov R., Kaeshkov I. et al., Multiwell deconvolution as important guideline to production optimisation: Western Siberia case study, IPTC-19566-MS, 2019.
8. Aslanyan A., Grishko F., Krichevsky V. et al., Assessing waterflood efficiency with deconvolution based multi-well retrospective test technique, SPE-195518-MS, 2019.
9. Aslanyan A., Gilfanov A., Gulyaev D. et al., Dynamic reservoir-pressure maintenance system study in carbonate reservoir with complicated pore structure by production analysis, production logging and well-testing, SPE-187776-MS, 2017.
10. Kaliyev B., Mutaliyev G., Aibazarov M. et al., Well spacing verification at gas condensate field using deconvolution driven long-term pressure and rate analysis, SPE-196925-MS, 2019.
11. Aslanyan A., Ganiev B., Lutfullin A. et al., Assessing efficiency of multiwell retrospective testing MRT in analysis of cross-well interference and prediction of formation and bottom- hole pressure dynamics, SPE-196839-MS, 2019.


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