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Evaluation and classification of proved and undeveloped OOIP by reservoir complexity index (in case of Salym brown oil fields)

https://doi.org/10.24887/2587-7399-2020-1-42-46

Abstract

The proposed approach allows to evaluate and classify residual non-recoverable OOIP basing on the criterion of development com-plexity. The concept of uninvolved reserves is introduced. To evaluate possible recoverable reserves, a scenario calculation of the oil recovery factor was performed, according to the El-Khatib model based on the statistical method - displacement characteristics. Au-thors developed an express method for evaluation and classification of non-recoverable reserves based on a comprehensive RCI de-velopment complexity index. For a quick evaluation of reserves, authors propose to use the RCI model with three parameters: per-meability of the formation, initial water cut, which is determined by the initial oil saturation, Corey coefficient for oil, water, maximum relative oil and water permeabilities and waterflooding efficiency, determined through the vertical non-uniformity coefficients (Dyk-stra-Parsons) and lateral heterogeneity. Also, a new method is proposed to evaluate of the waterflooding effectiveness - find the ac-cumulated fluid flow through a unit of pore volume using a hydrodynamic simulator (keywords FLOWO and FLOWW). Further, based on the obtained parameters, it is possible to estimate the residual recoverable reserves: with an increase in the criterion, the com-plexity of development increases. In conclusion, a universal approach has been developed for the evaluation and classification of geo-logical reserves for the further selection of the optimal development system.

About the Authors

M. V. Naugolnov
Gazpromneft NTC LLC
Russian Federation

Saint-Petersburg



S. I. Gabitova
Gazpromneft NTC LLC
Russian Federation

Saint-Petersburg



R. I. Murtazin
Gazpromneft NTC LLC
Russian Federation

Saint-Petersburg



V. Yu. Klimov
Gazpromneft NTC LLC
Russian Federation

Saint-Petersburg



F. V. Grishko
Salym Petroleum Development N.V.
Russian Federation

Moscow



I. Ya. Edelman
Salym Petroleum Development N.V.
Russian Federation

Moscow



References

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2. Laurence W.M., Roy T.K., Rapid assessment of potential recovery factor: A new correlation demonstrated on UK and USA fields, SPE-134450-MS, 2010, https://doi.org/10.2118/134450-MS.

3. Jia L., Kumar A., Bialas R., Lanson T.P., Jing X.D., Novel benchmark and analogue method to evaluate heavy oil projects, SPE-184101-MS, 2016, https://doi.org/10.2118/184101-MS

4. Xiao Qi Yeoh, Thin oil rim reservoir development, https://core.ac.uk/download/pdf/77002440.pdf

5. Naugolnov M.V., Bolshakov M.S. Mijnarends R., New approach to estimate reservoir complexity index for West Siberian fields (In Russ.), SPE-187780-MS, 2017, https://doi.org/10.2118/187780-RU.

6. Roschektaev A., Yakasov A., Krasnov V., Toropov K., Express method of oil recovery ratio estimation on the basis of oil reservoir statistical characteri-stics, SPE-136139-MS, 2010, https://doi.org/10.2118/136139-MS.

7. Dykstra H., Parsons R.L., The prediction of oil recovery by waterflooding, In: Secondary recovery of oil in the united states, 2nd Edition, API, 1950, pp. 160–174.

8. Naugolnov M.V., Murtazin R.I., Reservoir value-engineering for West Siberian oil fields (In Russ.), SPE-198374-MS, 2019.


Review

For citations:


Naugolnov M.V., Gabitova S.I., Murtazin R.I., Klimov V.Yu., Grishko F.V., Edelman I.Ya. Evaluation and classification of proved and undeveloped OOIP by reservoir complexity index (in case of Salym brown oil fields). PROneft. Professionally about Oil. 2020;(1):42-46. (In Russ.) https://doi.org/10.24887/2587-7399-2020-1-42-46

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ISSN 2587-7399 (Print)
ISSN 2588-0055 (Online)