Identification of local contact angle distribution inside a porous medium from an inverse optimization procedure

Wettability characterization of a porous material has been mainly addressed so far in terms an average contact angle. Here, methodology is proposed to determine the angle spatial distribution medium statistical sense and hydrophilic pore fraction, assuming take binary values. This achieved by means minimization procedure on relative permeability capillary pressure curves with inverse method based network model genetic hill climbing algorithms.