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New log interpretation technologies to solve problems of Samotlorskoye field modeling and reserves estimate

Authors: А.V. Khabarov, А.S. Glebov, P.S. Utkin, А.А. Chusovitin (TNNC LLC, RF, Tyumen)

Key words: “Ryabchik”, deconvolution, lithotype, permeability, capillary model, productivity, water cut, automation, integrity, consistency.

The Samotlorskoye field is one of the biggest fields in Russia. Largest reserves are confined to AV1-5 formation units which have been developed for 40 years. Detailed 3D static and dynamic models are required to evaluate and localize remaining reserves. New approaches to well logging data interpretation are suggested to meet modeling and reserves estimation objectives: analysis of lithological features and permeability prediction with honoring reservoir types; estimation of porosity by SP method with using deconvolution; saturation determination by electric logging and capillary model during change in formation water salinity; horizontal and directional well-bore logging data interpretation, comparison and consistency of petrophysical data with well production performance. Also, the paper presents how the technology of integrated automated interpretation of logging data is implemented.

References

1. Khabarov A.V., Volokitin Ya.E., Karotazhnik, 2009, V. 189, pp. 83-128.

2. Amaefule J.O., Altunbay M., Djebbar T. et al., Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells, SPE 26436.

3. Gunter G.W., Finneran J.M., Hartman D.J., Miller J.D., Early determination of reservoir flow units using an integrated petrophysical method, SPE 38679.

4. Hartmann D.J., Farina J., Integrated reservoir analysis: prediction reservoir performance through collaboration, Occidational oil & gas corporation: course workbook, Houstonб 2004.

5. Khabarov A.V., Volokitin Ya.E., Karotazhnik, 2009, V. 189, pp. 167-211.

6. Looyestijn W.J., Deconvolution of petrophysical logs: applications and limitations, SPWLA 23rd Annual Logging Symposium, July 6-9.

7. Khabarov A.V., Volokitin Ya.E., Borkent E.-Ya., Karotazhnik, 2009, V. 189, pp. 129-143.

8. Volokitin Ya.E., Khabarov A.V., Karotazhnik, 2009, V. 189, pp. 143-166.

9. Volokitin Ya.E., Khabarov A.V., Sakhibgareev R.R. et al., Karotazhnik, 2009, V. 189, pp. 212-226.

10. Lomeland F., Ebeltoft E., Hammervold W., A new versatile relative permeability correlation, SCA2005-32.

Key words: “Ryabchik”, deconvolution, lithotype, permeability, capillary model, productivity, water cut, automation, integrity, consistency.

The Samotlorskoye field is one of the biggest fields in Russia. Largest reserves are confined to AV1-5 formation units which have been developed for 40 years. Detailed 3D static and dynamic models are required to evaluate and localize remaining reserves. New approaches to well logging data interpretation are suggested to meet modeling and reserves estimation objectives: analysis of lithological features and permeability prediction with honoring reservoir types; estimation of porosity by SP method with using deconvolution; saturation determination by electric logging and capillary model during change in formation water salinity; horizontal and directional well-bore logging data interpretation, comparison and consistency of petrophysical data with well production performance. Also, the paper presents how the technology of integrated automated interpretation of logging data is implemented.

References

1. Khabarov A.V., Volokitin Ya.E., Karotazhnik, 2009, V. 189, pp. 83-128.

2. Amaefule J.O., Altunbay M., Djebbar T. et al., Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells, SPE 26436.

3. Gunter G.W., Finneran J.M., Hartman D.J., Miller J.D., Early determination of reservoir flow units using an integrated petrophysical method, SPE 38679.

4. Hartmann D.J., Farina J., Integrated reservoir analysis: prediction reservoir performance through collaboration, Occidational oil & gas corporation: course workbook, Houstonб 2004.

5. Khabarov A.V., Volokitin Ya.E., Karotazhnik, 2009, V. 189, pp. 167-211.

6. Looyestijn W.J., Deconvolution of petrophysical logs: applications and limitations, SPWLA 23rd Annual Logging Symposium, July 6-9.

7. Khabarov A.V., Volokitin Ya.E., Borkent E.-Ya., Karotazhnik, 2009, V. 189, pp. 129-143.

8. Volokitin Ya.E., Khabarov A.V., Karotazhnik, 2009, V. 189, pp. 143-166.

9. Volokitin Ya.E., Khabarov A.V., Sakhibgareev R.R. et al., Karotazhnik, 2009, V. 189, pp. 212-226.

10. Lomeland F., Ebeltoft E., Hammervold W., A new versatile relative permeability correlation, SCA2005-32.


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