Modeling Formation Damage Due to Flocculated Asphaltene Deposition

摘要

In this article, a hybrid model of an analytical and artificial neural network simulation and corresponding analytical method are applied using laboratory data obtained by performing various dynamic displacement experiments with preseparated oil asphaltene content that resulted a close agreement, so it could predict the trend of permeability reduction due to deposition of asphaltene using the hybrid model described. The procedure of matching is described here. The main conclusion is the ability to predict the deposition of asphaltene in the reservoir without the need to generate data from expensive downhole samples and/or laboratory tests.