In this paper, an integrated procedure was adopted to obtain accurate lithofacies
classification to be incorporated with well log interpretations for a precise core permeability …

Sandstone oil reserves are composed of a variety of clay minerals, including kaolinite, illite,
and chlorite. These clay minerals have a significant effect of reservoir quality. The upper …

An integrated multivariate statistics procedure was adopted for the accurate Lithofacies
classification prediction to be incorporated with well log attributes into core permeability …

Modeling accurate geological structure is an important step in reservoir simulation. The
multiple-point facies geostatistics (MPS) has been successfully used as an efficient …

Abstract Unlike the Continuous Gas Injection (CGI) and Water-Alternative Gas (WAG), the
Gas Assisted Gravity Drainage (GAGD) process takes advantage of the natural segregation …

Many multivariate statistical learning algorithms are used for rock facies classification. These
algorithms are done through several commercial software packages with limitations in terms …

Modeling and prediction the formation permeability is a decisive step in the reservoir
characterization as it concerns the sparseness of the row data with different scales from …

Estimation of core permeability as a function of well logging records is a pivotal task in
reservoir characterization as it is affected by data sparseness, distinct scales, various …

Different from the imposed linear-relationship in multiple linear regressions, Multivariate
Adaptive Regression Spines (MARS) is a nonparametric regression procedure that …

Multisource and multiscale modeling of formation permeability is a crucial step in overall
reservoir characterization. Thus, it is important to find out an efficient algorithm to accurately …