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Reservoir Complexity as a Prediction Tool for Recovery Factor
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Saint Petersburg 2020, Nov 2020, Volume 2020, p.1 - 5
Abstract
In this paper we have created a tool for RF prediction based on the complexity of the reservoir. In order to achieve this goal, specialized literature has been studied that describes current approaches to this prediction. A completely new complexity metrics was proposed here, which considered previously unused heterogeneity indices. To calculate RCI, a series of simulation models were built that provided an estimate of the reservoir's RF, which was described by a specific set of characteristics. The obtained correlation of RF vs RCI was verified with data of real fields. It was determined that the synthetic RF was systematically overestimated, which is explained by the presence of an unaccounted reservoir parameter that reduces RF. The relevance of using the proposed tool for RF prediction is in rapid assessment of the potential of the reservoir and examination on existence of unaccounted reservoir features. It also makes it possible to estimate the increase in oil recovery for already developing fields.