Artificial neural network to determine dynamic effect in capillary pressure relationship for two-phase flow in porous media with micro-heterogeneities

An artificial neural network (ANN) is presented for computing a parameter of dynamic two-phase flow in porous media with water as wetting phase, namely, dynamic coefficient (τ), by considering micro-heterogeneity in porous media as a key parameter. τ quantifies the dependence of time derivative of w...

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Bibliographic Details

Main Authors:	Diganta Das, Thanit Thirakulchaya, Lipika Deka, Navraj S. Hanspal
Format:	Default Article
Published:	2015
Subjects:	Chemical engineering not elsewhere classified Artificial neural network (ANN) Two phase flow Porous media Dynamic coefficient Dynamic capillary pressure Porous medium heterogeneity Micro-heterogeneity Chemical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/16222
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