Predicting the surface area to volume ratio of pores in iron rich sediments from nuclear magnetic resonance data
In this thesis, I investigated two methods of recovering the surface area to volume ratio (S/V), or pore size distribution, of water filled porous geological materials using Nuclear Magnetic Resonance (NMR) data. The NMR relaxation times T₁ and T₂ depend on the quantity of magnetic sites on the s...
Main Author: | Trotter, Christina Elizabeth |
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Format: | Others |
Language: | English |
Published: |
2009
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Online Access: | http://hdl.handle.net/2429/12232 |
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