TY - GEN
T1 - NUMERICAL STUDY OF SURFACE ROUGHNESS INFLUENCE ON NMR T2 RESPONSE
AU - Li, Y.
AU - He, X.
AU - AlSinan, M.
AU - Ugolkov, E.
AU - Kwak, H.
AU - Hoteit, H.
N1 - Funding Information:
We would like to thank Saudi Aramco for funding this research. We would also like to thank King Abdullah University of Science and Technology (KAUST) for providing a license of MATLAB.
Publisher Copyright:
© 83rd EAGE Conference and Exhibition 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - In this study, we will use the random walk method to quantify the impact of surface roughness on NMR T2 response. To reduce the complexity of the pore geometry, synthetic surface roughness was created on spherical pores, which is manifested as tetrahedral-like spikes. The level of roughness was characterized by a dimensionless parameter, referred to as relative roughness. As a result, we propose a new correction model to correlate NMR T2 response in a rough pore with T2 response as a function of rock relative roughness.
AB - In this study, we will use the random walk method to quantify the impact of surface roughness on NMR T2 response. To reduce the complexity of the pore geometry, synthetic surface roughness was created on spherical pores, which is manifested as tetrahedral-like spikes. The level of roughness was characterized by a dimensionless parameter, referred to as relative roughness. As a result, we propose a new correction model to correlate NMR T2 response in a rough pore with T2 response as a function of rock relative roughness.
UR - http://www.scopus.com/inward/record.url?scp=85142621762&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85142621762
T3 - 83rd EAGE Conference and Exhibition 2022
SP - 3446
EP - 3450
BT - 83rd EAGE Conference and Exhibition 2022
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 83rd EAGE Conference and Exhibition 2022
Y2 - 6 June 2022 through 9 June 2022
ER -