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Estimating irreducible water saturation and permeability of sandstones from nuclear magnetic resonance measurements by fractal analysis.

Authors :
Peng, Ling
Zhang, Chi
Ma, Huolin
Pan, Heping
Source :
Marine & Petroleum Geology. Dec2019, Vol. 110, p565-574. 10p.
Publication Year :
2019

Abstract

Understanding the relationships between the pore structure and bulk properties such as irreducible water saturation (S wir) and permeability (k) of rocks is a crucial problem in geoscience. In this study, two types of fractal dimension were determined from nuclear magnetic resonance (NMR) T 2 relaxation time distribution and models for estimating S wir and k using fractal theory were proposed. In view of the data of sandstone samples from upper Paleozoic formation in China, we found a good agreement between the predicted S wir values based on fractal analysis and the experimental measurements, and the estimated k values based on the proposed model are within one order of magnitude of measured k. Additionally, another four frequently used k estimation models were compared with our proposed model, and the result support that the proposed approach has great potential in investigating k while certain limitation still exists. This procedure was applied on another set of sandstone samples collected from a different location, and the predicted permeability values are reliable. Our study suggests that the proposed S wir estimation model using NMR T 2 data and fractal dimensions provides useful insights into characterizing the pore space properties of sedimentary rocks. Our work demonstrates that we can use NMR data to infer S wir directly, and the estimated S wir value can be well integrated in permeability prediction model, which improves the applications of NMR in characterizing the properties related to rock pores. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02648172
Volume :
110
Database :
Academic Search Index
Journal :
Marine & Petroleum Geology
Publication Type :
Academic Journal
Accession number :
139630606
Full Text :
https://doi.org/10.1016/j.marpetgeo.2019.07.037