Single well model case study: the applied study of pore geometry-structure and permeability prediction in reservoir characterization

A quick, reliable reservoir characterization using core data must provide both geological and engineering works. The new proposed method of pore geometry-structure relating the hydraulic characterization of pore system can lead to improved reservoir characterization. This study is facilitated with 126 core samples of Well-A. PGS method is based on capillary model equation involving hydraulic parameter: effective hydraulic diameter and mean as geometry parameter and hydraulic conductivity as structure parameter. Plot of (k/ø)^0.5 vs k/ø³ based on lithofacies description, each rock type will have distinct line whose slopes no more than 0.5 Then porositysaturation-permeability correlations are formed to result equation predicting permeability from Well-A calibrated by SCAL data. It´s demonstrated that cross-plot of the effective hydraulic diameter against porosity can be used to predict permeability. Permeability data distribution method as a comparison and PGS method were simulated in single Well model. It results 9 rock types which 5 of them have been validated with J-Function curve; the permeability prediction in which PGS method shows high accuracy (R² = 0.9951); after simulated, PGS contributes RF 13.43% or is higher 5.46% against permeability data distribution method. It could be alternative reservoir characterization when using reliable core data that is beneficial in petroleum industry.