Data from: Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China
Zhang, Dongming et al. (2018), Data from: Petrophysical characterization of high-rank coal by nuclear magnetic resonance: a case study of the Baijiao coal reservoir, SW China, Dryad, Dataset, https://doi.org/10.5061/dryad.4r34459
To better apply nuclear magnetic resonance (NMR) to evaluate the petrophysical characterization of high-rank coal, six anthracite samples from the Bajiao coal reservoir were measured by NMR. The porosity, T2 cutoff value, permeability, and pore type were analysed using the transverse relaxation time (T2) spectrum before and after centrifugation. The results show that the T2 spectrum of water-saturated anthracite can be divided into a discontinuous and continuous trimodal distribution. According to the connectivity among pores, three T2 spectrum peaks were identified at the relaxation times of 0.01-1.7 ms, 1.7-65 ms, and >65 ms, which correspond to the micropores (<100 nm), mesopores (100-1000 nm), and macropores (>1000 nm), respectively. Based on the T2 cutoff value, we divided the T2 spectrum into two parts: bound fluid and free fluid. By comparing two classic permeability models, we proposed a permeability model to calculate the permeability of anthracite. This result demonstrates that NMR has a great significance to the exploration of coal reservoirs and to the understanding of the development of coalbed methane.