TR32-Database: Database of Transregio 32

[643] - Pore size distributions and hydraulic conductivities of rocks derived from magnetic resonance sounding

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Mohnke, O., Yaramanci, U., 2008. Pore size distributions and hydraulic conductivities of rocks derived from magnetic resonance sounding. Journal of Applied Geophysics, 66, 73 - 81. DOI: 10.1016/j.jappgeo.2008.05.002.
Identification
Title(s):Main Title: Pore size distributions and hydraulic conductivities of rocks derived from magnetic resonance sounding
Description(s):Abstract: In hydrogeology there is a variety of empirical formulae available for determination of hydraulic conductivity of porous media, all based on the analysis of grain size distributions of aquifer materials. Sensitivity of NMR measurements to pore sizes makes it a good indicator of hydraulic conductivity. Analogous to laboratory NMR, Magnetic Resonance Sounding (MRS) relaxation data are of a multi-exponential (ME) nature due to the distribution of different pore sizes in an investigated rock layer.ME relaxation behaviour will also arise due to the superposition of NMR signals which originate from different layers. It has been shown, that both kinds of ME behaviour coexist in MRS and can principally be separated by ME inversion of the field data. Only a few publications exist that have proposed approaches to qualitatively and quantitatively estimate petrophysical parameters such as the hydraulic conductivity from MRS measurements, i.e. MRS porosity and decay times. The so far used relations for the estimation of hydraulic conductivity in hydrogeology and NMR experiments are compared and discussed with respect to their applicability in MRS. Taking into account results from a variety of laboratory NMR and MRS experiments mean rock specific calibration factors are introduced for a data-base-calibrated estimation of hydraulic conductivity when no on-site calibration of MRS is available. Field data have been analysed using conventional and ME inversion using such mean calibration values. The results for conventional and ME inversion agree with estimates obtained from well core analysis for shallow depths but are significantly improved using a ME inversion approach for greater depths.
Identifier(s):DOI: 10.1016/j.jappgeo.2008.05.002
Responsible Party
Creator(s):Author: Oliver Mohnke
Author: Ugur Yaramanci
Publisher:Elsevier
Topic
TR32 Topic:Other
Subject(s):CRC/TR32 Keywords: MRS, SNMR, Decay Time Distribution, Hydraulic Conductivity
File Details
File Name:2008_Mohnke_JoAG.pdf
Data Type:Text
Size(s):9 Pages
File Size:695 kB (0.679 MB)
Date(s):Date Accepted: 2007-05-13
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Laboratory
Measurement Location:--Laboratory--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2008
Type:Article
Article Type:Journal
Source:Journal of Applied Geophysics
Volume:66
Number Of Pages:9
Page Range:73 - 81
Metadata Details
Metadata Creator:Oliver Mohnke
Metadata Created:2013-12-02
Metadata Last Updated:2013-12-02
Subproject:A2
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:168
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features