Details
| Original language | English |
|---|---|
| Article number | 104042 |
| Journal | Journal of applied geophysics |
| Volume | 177 |
| Early online date | 25 Apr 2020 |
| Publication status | Published - Jun 2020 |
| Externally published | Yes |
Abstract
Surface nuclear magnetic resonance is a near-surface geophysical method for characterizing the spatial distribution of liquid water in the top 100 m of the subsurface. The recovered water content models are obtained through the solution of an ill-posed inverse problem that is a function of acquisition parameters, including location and shape of the transmitter and receiver coils. In this paper, we introduce the multi-central-loop acquisition and inversion strategy where one or several smaller receivers coils are placed in the center of the larger transmitter loop and where all the data sets synchronously recorded through each loop are inverted simultaneously. We investigate the attributes of this acquisition and inversion strategy including the ability to provide improved resolution, accuracy and reduced uncertainty on the estimated subsurface models compared to single channel acquisition methods. Using widely-adopted inversion methods and introducing a new data interpretation technique called Bayesian Evidential Learning 1D imaging, we show that the multi-central-loop configuration provides improved recovery of synthetic models and reduced levels of inverted parameter uncertainty. A field case is also presented where the multi-central-loop results appear to better match the lithologic knowledge of the area compared with single channel configurations, again providing smaller uncertainties.
Keywords
- Hydrogeophysics, Model uncertainty, Multi-central-loop configuration, Resolution studies, Surface nuclear magnetic resonance
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Geophysics
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In: Journal of applied geophysics, Vol. 177, 104042, 06.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Improving the accuracy of 1D surface nuclear magnetic resonance surveys using the multi-central-loop configuration
AU - Kremer, Thomas
AU - Müller-Petke, Mike
AU - Michel, Hadrien
AU - Dlugosch, Raphael
AU - Irons, Trevor
AU - Hermans, Thomas
AU - Nguyen, Frédéric
N1 - Funding information: We gratefully acknowledge the help of Ann Elen and Annie Royen from the University of Liege and the University of Leuven who both helped with the acquisition of the noise field data at the Belgian sites. We also thank three anonymous reviewers for their insightful comments. This work was made possible thanks to the funding of the BEWARE program from the Walloon region (Belgium) , convention n° 1610044 . We gratefully acknowledge the help of Ann Elen and Annie Royen from the University of Liege and the University of Leuven who both helped with the acquisition of the noise field data at the Belgian sites. We also thank three anonymous reviewers for their insightful comments. This work was made possible thanks to the funding of the BEWARE program from the Walloon region (Belgium), convention n? 1610044.
PY - 2020/6
Y1 - 2020/6
N2 - Surface nuclear magnetic resonance is a near-surface geophysical method for characterizing the spatial distribution of liquid water in the top 100 m of the subsurface. The recovered water content models are obtained through the solution of an ill-posed inverse problem that is a function of acquisition parameters, including location and shape of the transmitter and receiver coils. In this paper, we introduce the multi-central-loop acquisition and inversion strategy where one or several smaller receivers coils are placed in the center of the larger transmitter loop and where all the data sets synchronously recorded through each loop are inverted simultaneously. We investigate the attributes of this acquisition and inversion strategy including the ability to provide improved resolution, accuracy and reduced uncertainty on the estimated subsurface models compared to single channel acquisition methods. Using widely-adopted inversion methods and introducing a new data interpretation technique called Bayesian Evidential Learning 1D imaging, we show that the multi-central-loop configuration provides improved recovery of synthetic models and reduced levels of inverted parameter uncertainty. A field case is also presented where the multi-central-loop results appear to better match the lithologic knowledge of the area compared with single channel configurations, again providing smaller uncertainties.
AB - Surface nuclear magnetic resonance is a near-surface geophysical method for characterizing the spatial distribution of liquid water in the top 100 m of the subsurface. The recovered water content models are obtained through the solution of an ill-posed inverse problem that is a function of acquisition parameters, including location and shape of the transmitter and receiver coils. In this paper, we introduce the multi-central-loop acquisition and inversion strategy where one or several smaller receivers coils are placed in the center of the larger transmitter loop and where all the data sets synchronously recorded through each loop are inverted simultaneously. We investigate the attributes of this acquisition and inversion strategy including the ability to provide improved resolution, accuracy and reduced uncertainty on the estimated subsurface models compared to single channel acquisition methods. Using widely-adopted inversion methods and introducing a new data interpretation technique called Bayesian Evidential Learning 1D imaging, we show that the multi-central-loop configuration provides improved recovery of synthetic models and reduced levels of inverted parameter uncertainty. A field case is also presented where the multi-central-loop results appear to better match the lithologic knowledge of the area compared with single channel configurations, again providing smaller uncertainties.
KW - Hydrogeophysics
KW - Model uncertainty
KW - Multi-central-loop configuration
KW - Resolution studies
KW - Surface nuclear magnetic resonance
UR - http://www.scopus.com/inward/record.url?scp=85084190052&partnerID=8YFLogxK
U2 - 10.1016/j.jappgeo.2020.104042
DO - 10.1016/j.jappgeo.2020.104042
M3 - Article
AN - SCOPUS:85084190052
VL - 177
JO - Journal of applied geophysics
JF - Journal of applied geophysics
SN - 0926-9851
M1 - 104042
ER -