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Evaluation of effectiveness of EOR and bottomhole treatment technologies using rate transient analysis

UDK: 622.276.6 + 622.276.031:532.5
DOI: 10.24887/0028-2448-2019-5-72-76
Key words: rate transient analysis (RTA), pressure buildup curves, flow rates, cumulative production, pressure, displacement performance
Authors: V.A. Iktissanov (TatNIPIneft, RF, Bugulma), R.Z. Sakhabutdinov (TatNIPIneft, RF, Bugulma)

Oil companies commonly use hundreds of different methods to enhance production, to improve oil recovery, and to control water production, hence, it is critical to have a reliable means to evaluate the effectiveness of various IOR/EOR and bottomhole treatment technologies and to select the most effective ones that will meet the specific reservoir conditions. For evaluation, different techniques can be used: production analysis and analysis of reservoir properties in the near-wellbore zone and in the reservoir before and after treatment/stimulation, analysis of displacement characteristics. However, all these techniques have certain drawbacks. Thus, comparison of production performance ignores bottomhole pressure changes before and after treatment, pressure buildup curves are not infrequently of rather low quality to provide somewhat reliable data, while displacement analysis is based on empirical relationships, which have to be selected each time anew and, besides, are liable to misinterpretation. Devoid of these drawbacks is the rate transient analysis (RTA) offered by the Kappa Topaze software. The advantage of this method is that it makes allowance for change of production always occurring following treatment. This is achieved through use of diffusion equations. RTA allows comparative analysis of production history and cumulative oil production, porosity and permeability before and after EOR/well stimulation, being, thus, a comprehensive tool to evaluate effectiveness. Variation in oil production is the most reliable parameter, because it accounts for changes in bottomhole pressure and water cut before and after treatment. To determine this parameter, Topaze uses an algorithm based on the pressure drop change. Pressure drop is skin-dependent in well stimulation technologies aimed at productivity restoration in the bottomhole zone, while in EOR technologies we are calculating an auxiliary pressure drop to take into account change of reservoir properties. Topaze allows easy production forecasting by two scenarios, the scenario involving production enhancement operations, and the scenario without any production enhancement operations, with a view to assess cumulative incremental production. So, rate transient analysis and pressure transient analysis can be safely used to evaluate effectiveness of a large variety of IOR/EOR and well stimulation technologies and may serve a good alternative to the currently used methods.

References

1. Savel'ev V.A., Tokarev M.A., Chinarov A.S., Geologo-promyslovye metody prognoza nefteotdachi (Field-geologic methods of oil recovery forecast), Izhevsk: Udmurt University, 2008, 147 p.

2. RD 153-39.0-110-01. Metodicheskie ukazaniya po geologo-promyslovomu analizu razrabotki neftyanykh i gazoneftyanykh mestorozhdeniy (Methodical instructions on geological and field analysis of oil and gas fields development), Moscow: Publ. of Ekspertneftegaz, 2002, 119 p.

3. Akhmetov N.Z., Diyashev R.N., Iktisanov V.A., Musabirova N.Kh., Integral'naya otsenka effektivnosti meropriyatiy po regulirovaniyu protsessa razrabotki neftyanogo mestorozhdeniya (Integral assessment of the effectiveness of measures to regulate the development of an oil field), Collected papers “Povyshenie nefteotdachi plastov. Osvoenie trudnoizvlekaemykh zapasov nefti” (Enhanced oil recovery. Development of hard-to-recover oil reserves), Proceedings of 12th European Symposium, Kazan', 8–10 September 2003, pp. 680–685.

4. Kadyrov R.R., Remontno-izolyatsionnye raboty v skvazhinakh s ispol’zovaniem polimernykh materialov (Well isolation squeeze using polymeric materials), Kazan’: Fen Publ., 2007, 423 p.

5. Kadyrov R.R., Latypov R.R., Nizaev R.Kh., Sakhapova A.K., Khasanova D.K., Zhirkeev A.S., A suite of water shut-off technologies (In Russ.), Oborudovanie i tekhnologii dlya neftegazovogo kompleksa, 2017, no. 1, pp. 67–72.

6. Shagiev R.G., Issledovanie skvazhin po KVD (Well testing), Moscow: Nauka Publ., 1998, 303 p.

7. Klyukin S.S., Rezyapov R.I., Modern efficiency estimations methods for different types of impacts on well bottom-hole zone (In Russ.), Neftegazovoe delo, 2014, no. 6, pp. 378–391, URL: http://ogbus.ru/article/view/sovremennye-metody-ocenki-effektivnosti-razlichnyx-vidov-vozdejstvij-na....

8. Martyushev D.A., Evaluation of the effectiveness of hydrochloric acid treatments for pressure recovery curves (In Russ.), Gazovaya promyshlennost', 2014, Special Issue, pp. 41–44.

9. Dynamic flow analysis, KAPPA, 2008, 354 p., URL: http://www.pe.tamu.edu/ blasingame/data/z_zCourse_Archive/P324_reference/P324_Supplemental_Text_Materials/PTA_Kappa_DFA_Book_[Houze_2008].pdf.

10. Garipova L.I., Iktisanov V.A., Musabirova N.Kh., Using the topaze software to determine filtration coefficients of formation (In Russ.), Izvestiya vuzov. Neft' i gaz, 2014, no. 1, pp. 40–44.

Oil companies commonly use hundreds of different methods to enhance production, to improve oil recovery, and to control water production, hence, it is critical to have a reliable means to evaluate the effectiveness of various IOR/EOR and bottomhole treatment technologies and to select the most effective ones that will meet the specific reservoir conditions. For evaluation, different techniques can be used: production analysis and analysis of reservoir properties in the near-wellbore zone and in the reservoir before and after treatment/stimulation, analysis of displacement characteristics. However, all these techniques have certain drawbacks. Thus, comparison of production performance ignores bottomhole pressure changes before and after treatment, pressure buildup curves are not infrequently of rather low quality to provide somewhat reliable data, while displacement analysis is based on empirical relationships, which have to be selected each time anew and, besides, are liable to misinterpretation. Devoid of these drawbacks is the rate transient analysis (RTA) offered by the Kappa Topaze software. The advantage of this method is that it makes allowance for change of production always occurring following treatment. This is achieved through use of diffusion equations. RTA allows comparative analysis of production history and cumulative oil production, porosity and permeability before and after EOR/well stimulation, being, thus, a comprehensive tool to evaluate effectiveness. Variation in oil production is the most reliable parameter, because it accounts for changes in bottomhole pressure and water cut before and after treatment. To determine this parameter, Topaze uses an algorithm based on the pressure drop change. Pressure drop is skin-dependent in well stimulation technologies aimed at productivity restoration in the bottomhole zone, while in EOR technologies we are calculating an auxiliary pressure drop to take into account change of reservoir properties. Topaze allows easy production forecasting by two scenarios, the scenario involving production enhancement operations, and the scenario without any production enhancement operations, with a view to assess cumulative incremental production. So, rate transient analysis and pressure transient analysis can be safely used to evaluate effectiveness of a large variety of IOR/EOR and well stimulation technologies and may serve a good alternative to the currently used methods.

References

1. Savel'ev V.A., Tokarev M.A., Chinarov A.S., Geologo-promyslovye metody prognoza nefteotdachi (Field-geologic methods of oil recovery forecast), Izhevsk: Udmurt University, 2008, 147 p.

2. RD 153-39.0-110-01. Metodicheskie ukazaniya po geologo-promyslovomu analizu razrabotki neftyanykh i gazoneftyanykh mestorozhdeniy (Methodical instructions on geological and field analysis of oil and gas fields development), Moscow: Publ. of Ekspertneftegaz, 2002, 119 p.

3. Akhmetov N.Z., Diyashev R.N., Iktisanov V.A., Musabirova N.Kh., Integral'naya otsenka effektivnosti meropriyatiy po regulirovaniyu protsessa razrabotki neftyanogo mestorozhdeniya (Integral assessment of the effectiveness of measures to regulate the development of an oil field), Collected papers “Povyshenie nefteotdachi plastov. Osvoenie trudnoizvlekaemykh zapasov nefti” (Enhanced oil recovery. Development of hard-to-recover oil reserves), Proceedings of 12th European Symposium, Kazan', 8–10 September 2003, pp. 680–685.

4. Kadyrov R.R., Remontno-izolyatsionnye raboty v skvazhinakh s ispol’zovaniem polimernykh materialov (Well isolation squeeze using polymeric materials), Kazan’: Fen Publ., 2007, 423 p.

5. Kadyrov R.R., Latypov R.R., Nizaev R.Kh., Sakhapova A.K., Khasanova D.K., Zhirkeev A.S., A suite of water shut-off technologies (In Russ.), Oborudovanie i tekhnologii dlya neftegazovogo kompleksa, 2017, no. 1, pp. 67–72.

6. Shagiev R.G., Issledovanie skvazhin po KVD (Well testing), Moscow: Nauka Publ., 1998, 303 p.

7. Klyukin S.S., Rezyapov R.I., Modern efficiency estimations methods for different types of impacts on well bottom-hole zone (In Russ.), Neftegazovoe delo, 2014, no. 6, pp. 378–391, URL: http://ogbus.ru/article/view/sovremennye-metody-ocenki-effektivnosti-razlichnyx-vidov-vozdejstvij-na....

8. Martyushev D.A., Evaluation of the effectiveness of hydrochloric acid treatments for pressure recovery curves (In Russ.), Gazovaya promyshlennost', 2014, Special Issue, pp. 41–44.

9. Dynamic flow analysis, KAPPA, 2008, 354 p., URL: http://www.pe.tamu.edu/ blasingame/data/z_zCourse_Archive/P324_reference/P324_Supplemental_Text_Materials/PTA_Kappa_DFA_Book_[Houze_2008].pdf.

10. Garipova L.I., Iktisanov V.A., Musabirova N.Kh., Using the topaze software to determine filtration coefficients of formation (In Russ.), Izvestiya vuzov. Neft' i gaz, 2014, no. 1, pp. 40–44.



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