NMR T2 Response in Rough Pore Systems: Modeling and Analysis

Yiteng Li, Marwa Alsinan, Xupeng He, Evgeny Ugolkov, Hyung Kwak, Hussein Hoteit

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Estimating pore size distribution from NMR T2 responses typically assumes a smooth solid-pore interface. However, surface roughness accelerates NMR T2 relaxation and thus leads to an underestimation of the pore size distribution. Until now, only a few studies investigated the surface roughness effect. This work systematically studies the influence of surface roughness on NMR T2 responses and introduces a correction factor to bring incorrect T2 values back to the correct values. This study includes three main sections: creating 3D pore structures with roughness, simulating NMR T2 relaxation using the random walk method, and quantifying the roughness effect. Constrained Latin hypercube sampling is used to create representative examples in a space-filling manner, constrained by the fast diffusion limit. Then random walk simulations are implemented, and NMR T2 responses in smooth and rough pores are calculated. To accurately estimate pore radius, a "value-to-value" model is developed to map the nonlinear relationship between a 3D roughness parameter and the proposed correction factor. The accuracy of the proposed model is validated by comparing the corrected NMR T2 responses to the reference results obtained from smooth pore systems. Numerical results show that the proposed model can correctly evaluate pore sizes from decreased NMR T2 responses caused by the surface roughness effect. Previous works incorporated this effect into surface relaxivity as they attempted to retain the pore radius and meanwhile reproduce the faster relaxation rate. However, this may break down the assumption of fast diffusion limit. Instead, this study mitigates this limitation by separating the roughness effect from surface relaxivity. The proposed correction factor offers an alternative approach to calculating the correct pore radius by accounting for the influence of surface roughness at the pore scale.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - SPE Annual Technical Conference and Exhibition 2022, ATCE 2022
PublisherSociety of Petroleum Engineers (SPE)
ISBN (Electronic)9781613998595
StatePublished - 2022
Event2022 SPE Annual Technical Conference and Exhibition, ATCE 2022 - Houston, United States
Duration: Oct 3 2022Oct 5 2022

Publication series

NameProceedings - SPE Annual Technical Conference and Exhibition
ISSN (Electronic)2638-6712


Conference2022 SPE Annual Technical Conference and Exhibition, ATCE 2022
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology


Dive into the research topics of 'NMR T2 Response in Rough Pore Systems: Modeling and Analysis'. Together they form a unique fingerprint.

Cite this