Abstract: A system and method for performing a reservoir evaluation are disclosed. The method includes obtaining a nuclear magnetic resonance (NMR) dataset for a plurality of samples and obtaining an NMR log for a wellbore penetrating a reservoir. The method further includes determining a rock facies description for each sample, determining an NMR transverse relaxation time (NMR T2) distribution from the NMR dataset, and determining a set of parameters characterizing the NMR T2 distribution based on one or more predetermined parameters. The method still further includes identifying a plurality of NMR facies based, at least in part, on the set of parameters for each sample, determining a transformation that maps a subset of rock facies to a subset of the plurality of NMR facies, and performing the reservoir evaluation based, at least in part, on applying the transformation to the NMR log.

Abstract: A system and method for performing a reservoir evaluation are disclosed. The method includes obtaining a nuclear magnetic resonance (NMR) dataset for a plurality of samples and obtaining an NMR log for a wellbore penetrating a reservoir. The method further includes determining a rock facies description for each sample, determining an NMR transverse relaxation time (NMR T2) distribution from the NMR dataset, and determining a set of parameters characterizing the NMR T2 distribution based on one or more predetermined parameters. The method still further includes identifying a plurality of NMR facies based, at least in part, on the set of parameters for each sample, determining a transformation that maps a subset of rock facies to a subset of the plurality of NMR facies, and performing the reservoir evaluation based, at least in part, on applying the transformation to the NMR log.

Abstract: Provided are techniques for generating and validating facies logs for a horizontal wellbore, including: obtaining facies data for a subsurface formation, including vertical wellbore core data and wireline log data; determining (based on the facies data) a depositional model; determining (based on the facies data) a facies model of a horizontal portion of a wellbore in an target interval of the formation, including a predicted facies log; determining (based on the depositional model) a facies thickness mapping; determining for different locations within the formation (based on a comparison of the predicted facies log and the facies thickness mapping), a discrepancy between the facies of the predicted facies log and the facies thickness mapping for the location; and for locations of a discrepancy, modifying the predicted facies for the location based on the facies indicated for location by the facies thickness mapping, to generate a modified predicted facies log.

Abstract: Provided are techniques for generating and validating facies logs for a horizontal wellbore, including: obtaining facies data for a subsurface formation, including vertical wellbore core data and wireline log data; determining (based on the facies data) a depositional model; determining (based on the facies data) a facies model of a horizontal portion of a wellbore in an target interval of the formation, including a predicted facies log; determining (based on the depositional model) a facies thickness mapping; determining for different locations within the formation (based on a comparison of the predicted facies log and the facies thickness mapping), a discrepancy between the facies of the predicted facies log and the facies thickness mapping for the location; and for locations of a discrepancy, modifying the predicted facies for the location based on the facies indicated for location by the facies thickness mapping, to generate a modified predicted facies log.