Armstrong, R.T., Sun, C., Mostaghimi, P., Berg, S., Rücker, M., Luckham, P., Georgiadis, A., McClure, J.E., 2021. Multiscale Characterization of Wettability in Porous Media. Transp Porous Media 140. https://doi.org/10.1007/s11242-021-01615-0

Feng, C., Feng, J., Feng, Z., Zhong, Y., Mao, Z., Ling, K., 2021. Determination of reservoir wettability based on resistivity index prediction from core and log data. J Pet Sci Eng 205. https://doi.org/10.1016/j.petrol.2021.108842

Feng, C., Fu, J., Shi, Y., Li, G., Mao, Z., 2016. Predicting reservoir wettability via well logs. Journal of Geophysics and Engineering 13, 234–241.

Ghazban, F., 2007. Petroleum geology of the Persian Gulf. Joint publication.

Guan, H., Brougham, D., Sorbie, K.S., Packer, K.J., 2002. Wettability effects in a sandstone reservoir and outcrop cores from NMR relaxation time distributions. J Pet Sci Eng 34. https://doi.org/10.1016/S0920-4105(02)00151-1

He, Y.-D., Mao, Z.Q., Xiao, L.Z., Zhang, Y., 2005. A new method to obtain capillary pressure curve using NMR T2 distribution. Journal of Jilin University (Earth Science Edition) 35, 177–181.

Leverett, M., 1941. Capillary behavior in porous solids. Transactions of the AIME 142, 152–169.

Liang, C., Jia, Z., Xiao, L., Wang, G., Mao, Y., Ma, X., 2023. A potential NMR-based wettability index using free induction decay for rocks. Magnetic Resonance Letters.

Looyestijn, W.J., Hofman, J.P., 2006. Wettability-index determination by nuclear magnetic resonance. SPE Reservoir Evaluation and Engineering 9. https://doi.org/10.2118/93624-pa

Otchere, D.A., Mohammed, M.A.A., Ganat, T.O.A., Gholami, R., Merican, Z.M.A., 2022. A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs. Applied Sciences (Switzerland) 12. https://doi.org/10.3390/app12062942

Peters, E.J., 2012. Advanced Petrophysics: Geology, porosity, absolute permeability, heterogeneity, and geostatistics. Greenleaf Book Group.

Peyravi, M., Rahimpour-Bonab, H., Nader, F.H., Kamali, M.R., 2015. Dolomitization and burial history of lower triassic carbonate reservoir-rocks in the Persian Gulf (Salman offshore field). Carbonates Evaporites 30, 25–43.

Shabani, M., Ghaffary, S., Yarmohammadi, S., 2021. Evaluation of rock properties determined from core and NMR data: A case study on Asmari carbonate reservoir. Journal of Petroleum Science and Technology 11, 2–10. https://doi.org/10.22078/JPST.2021.4540.1751

Shabani, M., Yarmohammadi, S., Ghaffary, S., 2023. Reservoir quality investigation by combination of core measured data and NMR technique analysis: a case study of Asmari carbonate reservoir in Gachsaran field. Carbonates Evaporites 38. https://doi.org/10.1007/s13146-022-00824-y

Tandon, S., Newgord, C., Heidari, Z., 2020. Wettability quantification in mixed-wet rocks using a new NMR-based method, in: SPE Reservoir Evaluation and Engineering. https://doi.org/10.2118/191509-PA

Volokitin, Y., Looyestijn, W.J., Slijkerman, W.F.J., Hofman, J.P., 1999. A practical approach to obtain 1st drainage capillary pressure curves from NMR core and log data. SCA-9924.

Xiao, L., Mao, Z., Wang, Z., Jin, Y., 2012. Application of NMR logs in tight gas reservoirs for formation evaluation: A case study of Sichuan basin in China. J Pet Sci Eng 81, 182–195.