Multi-dimensional Inversion Modeling of Surface Nuclear Magnetic Resonance (SNMR) Data for Groundwater Exploration

W. Warsa, Hendra Grandis, Wahyudi W. Parnadi, Djoko Santoso

Abstract


Groundwater is an important economic source of water supply for drinking water and irrigation water for agriculture. Surface nuclear magnetic resonance (SNMR) sounding is a relatively new geophysical method that can be used to determine the presence of culturally and economically important substances, such as subsurface water or hydrocarbon distribution. SNMR sounding allows the determination of water content and pore size distribution directly from the surface. The SNMR method is performed by stimulating an alternating current pulse through an antenna at the surface in order to confirm the existence of water in the subsurface. This paper reports the development of a 3-D forward modeling code for SNMR amplitudes and decay times, after which an improved 2-D and 3-D inversion algorithm is investigated, consisting of schemes for regularizing model parameterization. After briefly reviewing inversion schemes generally used in geophysics, the special properties of SNMR or magnetic resonance sounding (MRS) inversion are evaluated. We present an extension of MRS to magnetic resonance tomography (MRT), i.e. an extension for 2-D and 3-D investigation, and the appropriate inversions.

Full Text:

PDF

References


Steeples, D.W., Engineering and Environmental Geophysics at The Millennium, Geophysics, 66(1), pp. 31-35, 2001.

Yaramanci, U., Lange, G. & Hertrich, M., Aquifer Characterisation Using Surface NMR Jointly with other Geophysical Techniques at the Nauen/Berlin Test Site, Journal of Applied Geophysics, 50, pp. 47-65, 2002.

Yaramanci, U., Lange, G. & Knödel, K., Surface NMR within a Geophysical Study of an Aquifer at Haldensleben (Germany), Geophysical Prospecting, 47, pp. 923-943, 1999.

Braun, M. & Yaramanci, U., Inversion of Resistivity in Magnetic Resonance Sounding, Journal of Applied Geophysics, 66, pp. 151-164, 2008.

Lange, G., Yaramanci, U. & Meyer, R., Surface Nuclear Magentic Resonance. In: Knödel, K., Lange, G. & Voigt, H.J. (Eds): Environmental Geology-Handbook of Field Methods and Case Studies, 4 Geophysics, Springer, pp. 403-430, 2007.

Schirov, M. & Legchenko, A., A New Non-invasive Groundwater Detection Technology for Australia, Exploration Geophysics, 22, pp. 333-338, 1991.

Legchenko, A.V. & Shushakov, O.A., Inversion of Surface NMR Data, Geophysics, 63, pp. 75-84, 1998.

Weichmann, P.B., Lavely, E.M. & Ritzwoller, M.H., Theory of Surface Nuclear Magnetic Resonance with Application To Geophysical Imaging Problem, Physical Review E, 62(1), pp. 1290-1312, 2000.

Eikam, A., Modellierung von SNMR-Anfangsamplituden, Master’s Thesis, Technical University Berlin, 1999.

Warsa, W., Mohnke, O. & Yaramanci, U., 3-D Modelling of Surface NMR Amplitudes and Decay Times, International Water Resources and Environmental Reasearch ICWRER 2002, Vol. III, Eigenverlag des Forums für Abfallwirtschaft und Atlasten e.V., Dresden, pp. 209-212, 2002.

Warsa, W., & Grandis, H., Sensitivity study of 3-D modeling for Multi-D inversion of Surface NMR, Proceedings of International Conference on Physics and Its Applications (ICPAP) 2011, AIP Conference Proceeding, 1454, New York, pp. 130-133, 2011.

Mohnke, O., Entwicklung und Anwendung eines neuen Inversions-verfahrens fur Oberflächen-NMR Sondierungen, Master’s Thesis, Technical University Berlin, 1999.

Yaramanci, U. & Petke, M., Improvements in inversion of magnetic resonance exploration- water content, decay time, and resistivity. Journal of Earth Science, 20(3), pp. 592-605, 2009.

Hertrich, M., Braun, M., Günther, T., Green, A.G, & Yaramanci, U., Surface Nuclear Magnetic Resonance Tomography. IEEE Transactions on Geoscience and Remote Sensing, 45(11), pp. 3752-3759, 2007.

Legchenko, A., Descloitres, M., Vincent, C., Guyard, H., Garambois, S., Chalikakis, K., & Ezersky, M., Three-dimensional magnetic resonance imaging for groundwater. New Journal of Physics, IOP Publishing Ltd and Deutsche Physikalische Geselschaft, 13, pp.1-18, 2011.




DOI: http://dx.doi.org/10.5614%2Fj.eng.technol.sci.2014.46.2.1

Refbacks

  • There are currently no refbacks.