Surface NMR to Image Aquifer Properties in a Magnetic Subsurface

Denys Grombacher; Andrew Parsekian; Aaron Davis; Tim Munday; Brady Flinchum; Kevin Cahill; Michael Hatch; Rosemary Knight

doi:10.1071/ASEG2015ab242

24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery

ISSN: 2202-0586
E-ISSN:

oa Surface NMR to Image Aquifer Properties in a Magnetic Subsurface
Authors Denys Grombacher^a, Andrew Parsekian^b, Aaron Davis^c, Tim Munday^d, Brady Flinchum^e, Kevin Cahill^f, Michael Hatch^g and Rosemary Knight^h
View Affiliations Hide Affiliations

^a Stanford University, Stanford, , CA, , USA, [email protected] ^b University of Wyoming, Laramie, , WY, , USA, [email protected] ^c CSRIO, Perth, , WA, [email protected] ^d CSIRO, Perth, , WA, [email protected] ^e University of Wyoming, Laramie, , WY, , USA, [email protected] ^f CSRIO, Perth, , WA, [email protected] ^g University of Adelaide, Adelaide, , SA, [email protected] ^h Stanford University, Stanford, , CA, , USA, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2015, Issue 24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery, Dec 2015, p. 1 - 5
DOI: https://doi.org/10.1071/ASEG2015ab242
- Published online: 01 Dec 2015

Abstract

Surface Nuclear Magnetic Resonance (NMR) is a noninvasive geophysical technique providing the ability to image and investigate aquifer properties. In order to produce reliable images and interpretations of subsurface properties accurate modelling of the underlying physics is required. In magnetic environments, where the background magnetic field varies spatially, challenges can arise that lead to difficulty accurately modelling the excitation process and interpreting the signal’s time dependence. We demonstrate using field data collected in the Anangu Pitjantjatjara Yankunytjatjara (APY) Lands of South Australia that neglecting the influence of the magnetic environment can significantly alter the final images and interpretation of the subsurface structure and properties.

Article metrics loading...

/content/journals/10.1071/ASEG2015ab242

2015-12-01

2026-01-21

From This Site

/content/journals/10.1071/ASEG2015ab242

dcterms_title,dcterms_subject,pub_keyword

-contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution

10

5

Full text loading...

References

Coates, G. R., R. C. A. Peveraro, A. Hardwick, and Roberts, D., 1991, The magnetic resonance imaging log characterized by comparison with petrophysical properties and laboratory core data: Society of Petroleum Engineers Annual Technical Conference and Exhibition, SPE-22723-MS.
Grombacher, D., and Knight, R., 2014, The impact of off-resonance effects on water content estimates in surface nuclear magnetic resonance: submitted for publication in Geophysics.
Grunewald, E., and Knight, R., 2011, The effect of pore size and magnetic susceptibility on the surface NMR relaxation parameter T2*: Near Surface Geophysics, 9, no. 2, 169-178.
Grunewald, E., and Walsh, D., 2013, Multiecho scheme advances surface NMR for aquifer characterization: Geophysical Research Letters, 40, no. 24, 6346-6350.
Hurlimann, M. D., 1998, Effective gradients in porous media due to susceptibility contrast: Journal of Magnetic Resonance, 131, no. 2, 232-240.
Kenyon, W., Day. P., C. Straley, and Willemsen, J., 1988, A three-part study of NMR longitudinal relaxation properties of water-saturated sandstones: Society of Petroleum Engineers Annual Technical Conference and Exhibition, 3, no. 3, 622636.
Muller, M., S. Kooman, and Yaramanci, U., 2005, Nuclear magnetic resonance (NMR) properties of unconsolidated sediments in field and laboratory: Near Surface Geophysics, 3, 275-285.
Trushkin, D. V., O. A. Shushakov, and Legchenko, A. V., 1995, Surface NMR applied to an electroconductive medium: Geophysical Prospecting, 43, no. 5, 623-633.
Walbrecker, J. O., M. Hertrich, and Green, A. G., 2011, Off-resonance effects in surface nuclear magnetic resonance: Geophysics, 76, no. 2, G1-G12.

/content/journals/10.1071/ASEG2015ab242

Article Type: Research Article

Keyword(s): groundwater; hydrogeophysics; NMR

Most Cited This Month Most Cited RSS feed

- Inversion of data from electrical imaging surveys in water-covered areas
  
  Authors M. H. Loke and J. W. Lane
- Inversion of Magnetic Data from Remanent and Induced Sources
  
  Authors Robert G. Elllis, Barrry de Wet and Ian N. Macleod
- A comparison of smooth and blocky inversion methods in 2-D electrical imaging surveys
  
  Authors M. H. Loke, Ian Acworth and Torleif Dahlin
- Designing matched bandpass and azimuthal filters for the separation of potential-field anomalies by source region and source type
  
  Authors Jeffrey D. Phillips
- Bad Colour Maps Hide Big Features and Create False Anomalies
  
  Authors Peter Kovesi
- Practical 3D EM inversion – the P223F software suite
  
  Authors Art Raiche, Fred Sugeng and Glenn Wilson
- Estimating Noise Levels in AEM Data
  
  Authors Andy Green and Richard Lane
- Target delineation using Full Tensor Gravity Gradiometry data
  
  Authors Colm A. Murphy and James Brewster
- Transdimensional Monte Carlo Inversion of AEM Data
  
  Authors Ross C Brodie and Malcolm Sambridge
- The geotech VTEM time domain helicopter em system
  
  Authors Ken Witherly, Richard Irvine and Edward Morrison
More Less

oa Surface NMR to Image Aquifer Properties in a Magnetic Subsurface

Abstract

Most Read This Month

Most Cited This Month Most Cited RSS feed