An Improved NMR Permeability Model for Macromolecules Flowing in Porous Medium

Wang, Lin; Xiao, Lizhi; Zhang, Yan; Liao, Guangzhi; Wang, Linlin; Yue, Wenzheng

doi:10.1007/s00723-019-01140-w

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…Actually, among four widely used methods for determining T 2cutoff as summarized in our previous study (Wang et al 2020), the most effective and accurate one is parameter calibration. To be specific, irreducible water saturation and fluid volume of a sample are measured in advance; when the integrated area of T 2 spectrum (fully saturated state) is equal to the irreducible fluid volume, the corresponding T 2 value is the exact T 2cutoff (Wang et al 2019).…”

Section: Experimental Methodologiesmentioning

confidence: 99%

Advances in low-field nuclear magnetic resonance (NMR) technologies applied for characterization of pore space inside rocks: a critical review

et al. 2020

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NMR serves as an important technique for probing rock pore space, such as pore structure characterization, fluid identification, and petrophysical property testing, due to the reusability of cores, convenience in sample processing, and time efficiency in laboratory tests. In practice, NMR signal collection is normally achieved through polarized nuclei relaxation which releases crucial relaxation messages for result interpretation. The impetus of this work is to help engineers and researchers with petroleum background obtain new insights into NMR principals and extend existing methodologies for characterization of unconventional formations. This article first gives a brief description of the development history of relaxation theories and models for porous media. Then, the widely used NMR techniques for characterizing petrophysical properties and pore structures are presented. Meanwhile, limitations and deficiencies of them are summarized. Finally, future work on improving these insufficiencies and approaches of enhancement applicability for NMR technologies are discussed.

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Section: Experimental Methodologiesmentioning

confidence: 99%