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A laboratory study of the effect of clay, silt, and sand content on low-field nuclear magnetic resonance relaxation time distributions
- Source :
- GEOPHYSICS. 86:WB1-WB8
- Publication Year :
- 2021
- Publisher :
- Society of Exploration Geophysicists, 2021.
-
Abstract
- We have developed a laboratory nuclear magnetic resonance (NMR) study to investigate the effect of clay, silt, and sand content on the NMR relaxation time distribution. Transverse NMR relaxation times ([Formula: see text]) are determined for water-saturated unconsolidated sediment mixtures of 1%–60% kaolinite clay, 5%–85% silt-size glass beads, and 8%–94% quartz sand by mass. Nearly all of the mixtures are characterized by a unimodal [Formula: see text] distribution. When clay is present in quantities greater than 10%, the clay content dominates the response. For these samples, the mean-log relaxation times ([Formula: see text]) range from 0.03 to 0.06 s, regardless of silt or sand content. For mixtures with [Formula: see text] clay, [Formula: see text] decreases with increasing clay content. When the clay content is kept the same, [Formula: see text] decreases with increasing silt content and increases with the increasing sand content. The strong effect of the clay content on the NMR response is due to the high specific surface area of the clay and the distribution of clay throughout the samples. These results will help improve the interpretation of NMR field data in soils and unconsolidated sediments.
- Subjects :
- Materials science
0208 environmental biotechnology
Time distribution
02 engineering and technology
Silt
010502 geochemistry & geophysics
Low field nuclear magnetic resonance
01 natural sciences
020801 environmental engineering
Transverse plane
Geophysics
Nuclear magnetic resonance
Geochemistry and Petrology
Transverse relaxation
Content (measure theory)
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 19422156 and 00168033
- Volume :
- 86
- Database :
- OpenAIRE
- Journal :
- GEOPHYSICS
- Accession number :
- edsair.doi...........f72603c29c75fb02fb360117de7225bf
- Full Text :
- https://doi.org/10.1190/geo2020-0621.1