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Software for the system technology of reservoir stimulation

UDK: 519.87:622.276
DOI: 10.24887/0028-2448-2019-3-102-106
Key words: system-targeted approach, system technology of reservoir stimulation, software, selection of candidate wells, automatization, planning of targeted programs for geotechnical operations, water injection profile leveling, enhanced oil recovery (EOR)
Authors: A.V. Fomkin (VNIINEFT JSC, RF, Moscow), A.M. Petrakov (VNIINEFT JSC, RF, Moscow), R.R. Rayanov (VNIINEFT JSC, RF, Moscow), E.N. Baikova (VNIINEFT JSC, RF, Moscow), V.V. Galushko (VNIINEFT JSC, RF, Moscow), A.K. Podolskiy (VNIINEFT JSC, RF, Moscow)

The article is devoted to the current possibilities and prospects of the computer-automated algorithm of programs planning for geotechnical operations and EOR. Tendencies towards digitalization of all business processes in the oil industry predetermined the creation of software for the system technology of reservoir stimulation (STRS-software). The urgency and necessity of this software product as an effective tool to increase the efficiency of programs planning for geotechnical operations and EOR and reduce the risk of errors due to the influence of the human factor are substantiated. The results of the literary review of existing software products for the selection of candidate wells for geotechnical operations and EOR are presented. Their main advantages and disadvantages are identified, which justifies the need to develop software for the computer-automated algorithm of programs planning for geotechnical operations and EOR based on a system-targeted approach. Article contains a description of some elements of the graphical interface of STRS-software. The main algorithms of STRS-software for the selection of candidate wells are based on automated loading of initial data, search and visualization of promising areas to perform geotechnical operations and EOR on the map, multiple factor analysis and diagnostics of the current field development status, identify reasons for the decline in the effectiveness of the fields development, selection of targeted technologies and the planning of targeted programs for geotechnical operations and EOR. The main advantages of STRS-software are listed to the results of software testing on the example of the for water injection profile leveling programs planning. Reduction of labor costs amounted to 35% compared with the same work, but performed in manual mode.

References

1. Patent no. 2513787 RF, Method for oil deposit development based on system address action, Inventors: Kryanev D.Yu, Zhdanov S.A., Petrakov A.M.

2. RD 39-0147035-254-88R, Rukovodstvo po primeneniyu sistemnoy tekhnologii vozdeystviya na neftyanye plasty mestorozhdeniy Glavtyumenneftegaza (Guidance on the use of system technology impact on oil reservoirs of Glavtyumenneftegaz fields), Tyumen'-Nizhnevartovsk, 1988, 236 p.

3. Petrakov A.M., Nauchno-metodicheskie osnovy primeneniya tekhnologiy adresnogo vozdeystviya dlya povysheniya effektivnosti razrabotki trudnoizvlekaemykh zapasov nefti (na primere mestorozhdeniy Zapadnoy Sibiri) (Scientific and methodological foundations for the application of technologies of targeted exposure to increase the efficiency of the development of hard-to-recover oil reserves (by the example of fields in Western Siberia)), Moscow, 2010.

4. Rozova A.R., Saf'yannikov I.M., Experience in the selection of enhanced oil recovery methods using the EORt module of the Petrel software package from Schlumberger for the Jurassic strata of Western Siberia (In Russ.), Neft'. Gaz. Novatsii, 2017, no. 4, pp. 26-31.

5. Shumilov V.A., Shumilov A.V., Naugol'nykh O.V., Software on the choice of methods for regulating the development of oil fields (In Russ.), Vestnik “Gornoe Ekho”, 2007, no. 4, pp. 47–52.

6. Khodanovich D.A., Malkosh R.V., Rapid method for oil-field development assessing (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2017, no. 6, pp. 84-87.

7. Sultanov A.S. Latifullin A.S., Computer-aided selection of candidate wells for frac-jobs using LAZURIT workstation (In Russ.), Neftyanoe khozyaystvo, 2010, no. 7, pp. 48–51.

8. Galyautdinov I.M., Cherepovitsyn A.E., An integrated approach to the selection of candidate wells for geological and engineering operations (using the example of the eastern section of the Orenburg oil and gas condensate field) (In Russ.), Neft'. Gaz. Novatsii, 2017, no. 7, pp. 23–33.

9. Sitnikov A.N., Pustovskikh A.A., Gil'manov R.R. et al., Digital information systems creation for optimization of complex geotechnical jobs programs formation process for Gazprom Neft JSC oilfields (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 12, pp. 77–81.

10. Shorokhov A.N., Azamatov M.A., The introduction of rapid diagnostic software module of watering source on the oil producing wells (In Russ.), Georesursy, 2013, no. 2, pp. 11–14.

11. Poplygin V.V. Galkin S.V., Forecast quick evaluation of the indices of the development of the oil deposits (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2011, no. 3, pp. 112–115.

12. URL: http://www.togi.ru/content/atlas

13. URL: http://eor-soft.com/eor.html

14. Chan K.S., Water control diagnostic plots, SPE 30775-MS, 1995.

15. Petrakov A.M., Baykova E.N., Rayanov R.R. et al., 10 let effektivnogo sotrudnichestva nauki i proizvodstva v sfere uvelicheniya nefteotdachi. Perspektivy novogo urovnya otraslevogo vzaimodeystviya (10 years of effective cooperation of science and production in the field of enhanced oil recovery. Prospects for a new level of industry interaction), Proceedings of XVIII Scientific Practical Conference “Geologiya i razrabotka mestorozhdeniy s trudnoizvlekaemymi zapasami” (Geology and development of hard-to-recover reserves), Tyumen', 2018.

The article is devoted to the current possibilities and prospects of the computer-automated algorithm of programs planning for geotechnical operations and EOR. Tendencies towards digitalization of all business processes in the oil industry predetermined the creation of software for the system technology of reservoir stimulation (STRS-software). The urgency and necessity of this software product as an effective tool to increase the efficiency of programs planning for geotechnical operations and EOR and reduce the risk of errors due to the influence of the human factor are substantiated. The results of the literary review of existing software products for the selection of candidate wells for geotechnical operations and EOR are presented. Their main advantages and disadvantages are identified, which justifies the need to develop software for the computer-automated algorithm of programs planning for geotechnical operations and EOR based on a system-targeted approach. Article contains a description of some elements of the graphical interface of STRS-software. The main algorithms of STRS-software for the selection of candidate wells are based on automated loading of initial data, search and visualization of promising areas to perform geotechnical operations and EOR on the map, multiple factor analysis and diagnostics of the current field development status, identify reasons for the decline in the effectiveness of the fields development, selection of targeted technologies and the planning of targeted programs for geotechnical operations and EOR. The main advantages of STRS-software are listed to the results of software testing on the example of the for water injection profile leveling programs planning. Reduction of labor costs amounted to 35% compared with the same work, but performed in manual mode.

References

1. Patent no. 2513787 RF, Method for oil deposit development based on system address action, Inventors: Kryanev D.Yu, Zhdanov S.A., Petrakov A.M.

2. RD 39-0147035-254-88R, Rukovodstvo po primeneniyu sistemnoy tekhnologii vozdeystviya na neftyanye plasty mestorozhdeniy Glavtyumenneftegaza (Guidance on the use of system technology impact on oil reservoirs of Glavtyumenneftegaz fields), Tyumen'-Nizhnevartovsk, 1988, 236 p.

3. Petrakov A.M., Nauchno-metodicheskie osnovy primeneniya tekhnologiy adresnogo vozdeystviya dlya povysheniya effektivnosti razrabotki trudnoizvlekaemykh zapasov nefti (na primere mestorozhdeniy Zapadnoy Sibiri) (Scientific and methodological foundations for the application of technologies of targeted exposure to increase the efficiency of the development of hard-to-recover oil reserves (by the example of fields in Western Siberia)), Moscow, 2010.

4. Rozova A.R., Saf'yannikov I.M., Experience in the selection of enhanced oil recovery methods using the EORt module of the Petrel software package from Schlumberger for the Jurassic strata of Western Siberia (In Russ.), Neft'. Gaz. Novatsii, 2017, no. 4, pp. 26-31.

5. Shumilov V.A., Shumilov A.V., Naugol'nykh O.V., Software on the choice of methods for regulating the development of oil fields (In Russ.), Vestnik “Gornoe Ekho”, 2007, no. 4, pp. 47–52.

6. Khodanovich D.A., Malkosh R.V., Rapid method for oil-field development assessing (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2017, no. 6, pp. 84-87.

7. Sultanov A.S. Latifullin A.S., Computer-aided selection of candidate wells for frac-jobs using LAZURIT workstation (In Russ.), Neftyanoe khozyaystvo, 2010, no. 7, pp. 48–51.

8. Galyautdinov I.M., Cherepovitsyn A.E., An integrated approach to the selection of candidate wells for geological and engineering operations (using the example of the eastern section of the Orenburg oil and gas condensate field) (In Russ.), Neft'. Gaz. Novatsii, 2017, no. 7, pp. 23–33.

9. Sitnikov A.N., Pustovskikh A.A., Gil'manov R.R. et al., Digital information systems creation for optimization of complex geotechnical jobs programs formation process for Gazprom Neft JSC oilfields (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 12, pp. 77–81.

10. Shorokhov A.N., Azamatov M.A., The introduction of rapid diagnostic software module of watering source on the oil producing wells (In Russ.), Georesursy, 2013, no. 2, pp. 11–14.

11. Poplygin V.V. Galkin S.V., Forecast quick evaluation of the indices of the development of the oil deposits (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2011, no. 3, pp. 112–115.

12. URL: http://www.togi.ru/content/atlas

13. URL: http://eor-soft.com/eor.html

14. Chan K.S., Water control diagnostic plots, SPE 30775-MS, 1995.

15. Petrakov A.M., Baykova E.N., Rayanov R.R. et al., 10 let effektivnogo sotrudnichestva nauki i proizvodstva v sfere uvelicheniya nefteotdachi. Perspektivy novogo urovnya otraslevogo vzaimodeystviya (10 years of effective cooperation of science and production in the field of enhanced oil recovery. Prospects for a new level of industry interaction), Proceedings of XVIII Scientific Practical Conference “Geologiya i razrabotka mestorozhdeniy s trudnoizvlekaemymi zapasami” (Geology and development of hard-to-recover reserves), Tyumen', 2018.


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