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Quantitative approach of using of analogs in exploration and field development

Authors: S.I. Kudryashov, E.Yu. Belkina (Zarubezhneft JSC, RF, Moscow), M.M. Khasanov (Gazporomneft NTC LLC, RF, Saint-Petersburg), V.A. Pavlov, P.A. Tarasov (Rosneft Oil Company OJSC, RF, Moscow)

Key words: reservoir analogs, complexity index, recovery factor.

Quantitative approach to selection of analogs in oil and gas field development planning is presented. This approach consists in finding and using the correlation on a set of similar objects. Approach can be used both for filling the gaps in knowledge about the geology of the formation and for evaluation of production potential of the deposit. Examples of numerical analysis of analogs are shown.
References
1. Sun S.Q., Wan J.C., Geological analogs usage rates high in global survey,
Oil & Gas Journal, 2002, V. 100, no. 46, pp. 49-50.
2. Digital Analogs, URL: http://www.ccreservoirs.com/
3. Hodgin J.E., Harrell D.R., The Selection, Application, and misapplication of reservoir analogs for the estimation of petroleum reserves, SPE 102505, 2006.
4. Larue D. K., Yue Y., How stratigraphy influences oil recovery: A comparative reservoir database study, The Leading Edge, 2003, V. 22, no. 4, pp. 332-339.
5. Leffler W.L., Pattarozzi R., Sterling G., Deepwater petroleum exploration &production, PennWell, 2003, p. 32.
6. Allen J., Qing Sun S., Controls on recovery factor in fractured reservoirs:
Lessons learned from 100 fractured fields, SPE 84590, 2003.
7. Beliveau D., Waterflooding viscous oil reservoirs, SPE 113132, 2008.
8. Kudryashov S.I., Khasanov M.M., Krasnov V.A. et al., Technologies Application Patterns - an effective way of knowledge systematization (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2007, no. 11, pp. 7-9.
9. Kulkarni M.M., CO2 evaluation for the US Rocky Mountain assets,
SPE 113297, 2008.
10. The petroleum resources on the Norwegian continental shelf, Chapter 4:
Recovery. Norwegian Petroleum Directorate, Stavanger, Norway, 2005.
11. Cannon G.E., Sullins R.S., Problems encountered in drilling abnormal pressure formations, Oil and Gas Journal, 1946, October 5, p. 45.
12. Collins P.M., Dusseault M.B., Dorscher D., Kueber E., Implementing CHOPS in the Karazhanbas heavy oil field, Kazakhstan, World Heavy Oil Congress, Edmonton, 2008, March 10-12, Paper 2008-500, 17 p.
13. Behrenbruch P., Waterflood residual oil saturation, The Buffalo Field, Timor Sea, SPE 64282-MS, 2000.
14. Boukadi F.H., Watson R.W., Effect of surface area and pore-size distribution on oil recovery at breakthrough, oil recovery at floodout, residual oil saturation, and wettability, SCA 9007, 1990.
15. Byrnes A.P., Bhattacharya S., Influence of initial and residual oil saturation and relative permeability on recovery from transition zone reservoirs in shallow shelf carbonates, SPE 99736-MS, 2006

Key words: reservoir analogs, complexity index, recovery factor.

Quantitative approach to selection of analogs in oil and gas field development planning is presented. This approach consists in finding and using the correlation on a set of similar objects. Approach can be used both for filling the gaps in knowledge about the geology of the formation and for evaluation of production potential of the deposit. Examples of numerical analysis of analogs are shown.
References
1. Sun S.Q., Wan J.C., Geological analogs usage rates high in global survey,
Oil & Gas Journal, 2002, V. 100, no. 46, pp. 49-50.
2. Digital Analogs, URL: http://www.ccreservoirs.com/
3. Hodgin J.E., Harrell D.R., The Selection, Application, and misapplication of reservoir analogs for the estimation of petroleum reserves, SPE 102505, 2006.
4. Larue D. K., Yue Y., How stratigraphy influences oil recovery: A comparative reservoir database study, The Leading Edge, 2003, V. 22, no. 4, pp. 332-339.
5. Leffler W.L., Pattarozzi R., Sterling G., Deepwater petroleum exploration &production, PennWell, 2003, p. 32.
6. Allen J., Qing Sun S., Controls on recovery factor in fractured reservoirs:
Lessons learned from 100 fractured fields, SPE 84590, 2003.
7. Beliveau D., Waterflooding viscous oil reservoirs, SPE 113132, 2008.
8. Kudryashov S.I., Khasanov M.M., Krasnov V.A. et al., Technologies Application Patterns - an effective way of knowledge systematization (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2007, no. 11, pp. 7-9.
9. Kulkarni M.M., CO2 evaluation for the US Rocky Mountain assets,
SPE 113297, 2008.
10. The petroleum resources on the Norwegian continental shelf, Chapter 4:
Recovery. Norwegian Petroleum Directorate, Stavanger, Norway, 2005.
11. Cannon G.E., Sullins R.S., Problems encountered in drilling abnormal pressure formations, Oil and Gas Journal, 1946, October 5, p. 45.
12. Collins P.M., Dusseault M.B., Dorscher D., Kueber E., Implementing CHOPS in the Karazhanbas heavy oil field, Kazakhstan, World Heavy Oil Congress, Edmonton, 2008, March 10-12, Paper 2008-500, 17 p.
13. Behrenbruch P., Waterflood residual oil saturation, The Buffalo Field, Timor Sea, SPE 64282-MS, 2000.
14. Boukadi F.H., Watson R.W., Effect of surface area and pore-size distribution on oil recovery at breakthrough, oil recovery at floodout, residual oil saturation, and wettability, SCA 9007, 1990.
15. Byrnes A.P., Bhattacharya S., Influence of initial and residual oil saturation and relative permeability on recovery from transition zone reservoirs in shallow shelf carbonates, SPE 99736-MS, 2006


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