Improvement approach for the reservoir complexity index calculation
https://doi.org/10.24887/2587-7399-2018-2-71-74
Abstract
At this paper described a common approach for reservoir complexity index calculation for field development. This approach is a further evaluation of method that was described early in one of previous works. Reservoir complexity index which calculated based on probabilistic estimates and machine learning algorithms helps to get a potential achievable recovery factor estimation.
About the Authors
E. V. Belonogov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
D. S. Perets
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
References
1. Naugol’nov M.V., Bol’shakov M.S., Meynarends R., New approach to estimate reservoir complexity index for West Siberian fields (In Russ.), SPE 187780-RU, 2017.
2. Roschektaev A., Yakasov A., Krasnov V., Toropov K., Express method of oil recovery ratio estimation on the basis of oil reservoir statistical characteristics (In Russ.), SPE 136139-MS, 2010.
3. Breiman L., Random forests, Statistics Department University of California Berkeley, 2001.
Review
For citations:
Belonogov E.V., Perets D.S. Improvement approach for the reservoir complexity index calculation. PROneft. Professionally about Oil. 2018;(2):71-74. (In Russ.) https://doi.org/10.24887/2587-7399-2018-2-71-74
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