Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | 83rd EAGE Conference and Exhibition 2022 |
| Publisher | European Association of Geoscientists and Engineers, EAGE |
| Pages | 3446-3450 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781713859314 |
| State | Published - 2022 |
| Event | 83rd EAGE Conference and Exhibition 2022 - Madrid, Virtual, Spain Duration: Jun 6 2022 → Jun 9 2022 |
Publication series
| Name | 83rd EAGE Conference and Exhibition 2022 |
|---|---|
| Volume | 5 |
Conference
| Conference | 83rd EAGE Conference and Exhibition 2022 |
|---|---|
| Country/Territory | Spain |
| City | Madrid, Virtual |
| Period | 06/6/22 → 06/9/22 |
Bibliographical note
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.
ASJC Scopus subject areas
- Geochemistry and Petrology
- Geophysics