new empirical models for estimating permeability in one of southern iranian carbonate fields using nmr-derived features

Permeability is arguably the most important property in evaluating fluid flow in the reservoir. it is also one of the most difficult parameters to measure in field. one of the main techniques for determining permeability is the application of nuclear magnetic resonance (nmr) logging across the borehole. however, available correlations in literature for estimating permeability from nmr data do not usually give acceptable accuracy in carbonate rocks. in this research, two new empirical models are introduced for quantifying nmr extracted permeability in carbonate formations. these models are validated for three carbonate formations, namely, yamama, gadvan, and daryan in one of iranian offshore reservoirs in the persian gulf. the first empirical model applies the pore-related nmr data such as free and bound fluid parameters. the second model, however, is a novel approach that uses the geometric features of the occurring humps in t2 distribution. for assessing the performance of the proposed models, statistical parameters as well as graphical tools are utilized. it is found that the for the examined case studies, geometric approach gives more accurate and reliable estimates compared to the available models in the literature including timur-coates and sdr methods.