TR32-Database: Database of Transregio 32

[1651] - Understanding NMR relaxometry of partially water-saturated rocks

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Citation
Mohnke, O., Jorand, R., Nordlund, C., Klitzsch, N., 2015. Understanding NMR relaxometry of partially water-saturated rocks. Hydrology and Earth System Sciences, 19, 2763 - 2773. DOI: 10.5194/hess-19-2763-2015.
Identification
Title(s):Main Title: Understanding NMR relaxometry of partially water-saturated rocks
Description(s):Abstract: Nuclear magnetic resonance (NMR) relaxometry measurements are commonly used to characterize the storage and transport properties of water-saturated rocks. Estimations of these properties are based on the direct link of the initial NMR signal amplitude to porosity (water content) and of the NMR relaxation time to pore size. Herein, pore shapes are usually assumed to be spherical or cylindrical. However, the NMR response at partial water saturation for natural sediments and rocks may differ strongly from the responses calculated for spherical or cylindrical pores, because these pore shapes do not account for water menisci remaining in the corners of desaturated angular pores. Therefore, we consider a bundle of pores with triangular cross sections. We introduce analytical solutions of the NMR equations at partial saturation of these pores, which account for water menisci of desaturated pores. After developing equations that describe the water distribution inside the pores, we calculate the NMR response at partial saturation for imbibition and drainage based on the deduced water distributions. For this pore model, the NMR amplitudes and NMR relaxation times at partial water saturation strongly depend on pore shape, i.e., arising from the capillary pressure and pore shape-dependent water distribution in desaturated pores with triangular cross sections. Even so, the NMR relaxation time at full saturation only depends on the surface-to-volume ratio of the pore. Moreover, we show the qualitative agreement of the saturation-dependent relaxation-time distributions of our model with those observed for rocks and soils. From the leakage and omit signals originating from the injection well. Consequently, we recommend SP as monitoring method for subsurface CO2 storage, especially because a leakage can be detected shortly after the injection started even before CO2 arrives at the leaky well.
Identifier(s):DOI: 10.5194/hess-19-2763-2015
Responsible Party
Creator(s):Author: Oliver Mohnke
Author: Rachel Jorand
Author: Christopher Nordlund
Author: Norbert Klitzsch
Contributor(s):Contact Person: Johanna Ochs
Publisher:Copernicus Publications on behalf of the European Geosciences Union, Munich, Germany
Topic
TR32 Topic:Other
Related Sub-project(s):B8
Subject(s):CRC/TR32 Keywords: NMR, Modelling
Topic Category:Enviroment
File Details
File Name:Mohnke_et_al_HESS_2015.pdf
Data Type:Text
File Size:2146 kB (2.096 MB)
Date(s):Date Accepted: 2015-05-10
Mime Type:application/pdf
Data Format:PDF (PDF-1.7)
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
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Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2015
Type:Article
Article Type:Journal
Source:Hydrology and Earth System Sciences
Volume:19
Number Of Pages:11
Page Range:2763 - 2773
Metadata Details
Metadata Creator:Johanna Ochs
Metadata Created:2017-05-21
Metadata Last Updated:2017-06-01
Subproject:B8
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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Page Visits:31
Metadata Downloads:0
Dataset Downloads:0
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