Spatial estimation model of porosity

This paper addresses a spatial estimation model which uses fuzzy clustering algorithm and assesses the aquifer porosity based on point cumulative semimadogram (PCSM) measure. In order to obtain the estimated porosity values, the model employs standard regional dependence function (SRDF) which provides weights for different regional locations depending on the distances from the reference site. The proposed methodology has three stages: (1) structure identification; (2) spatial dependence measure; and (3) interpolation. The model has been tested using a real data set which was taken from an aquifer in Turkey. The performance evaluations indicate that the new methodology can be applied in geological based domains.