Details
| Original language | English |
|---|---|
| Pages (from-to) | 999-1053 |
| Number of pages | 55 |
| Journal | Surveys in geophysics |
| Volume | 43 |
| Issue number | 4 |
| Early online date | 19 Mar 2022 |
| Publication status | Published - Aug 2022 |
| Externally published | Yes |
Abstract
Abstract: Surface nuclear magnetic resonance (sNMR) is an electromagnetic hydrogeophysical method directly sensitive to liquid phase water in the upper ≈ 100 m of the subsurface. For this reason, sNMR is a uniquely capable of unambiguous exploration and quantitative characterization of groundwater and its structural environment in the near-surface. In spite of these physical attributes, the method suffers from notoriously low signal-to-noise ratio (SNR) which can limit its application. A large span of research has therefore been dedicated to sNMR developments including instrument innovations, acquisition methodologies and signal processing techniques which improve the SNR of the method and expand its scope of application outside the research world. Towards this goal, we include a description of community-developed best practice techniques and strategies that can be relied upon to successfully gather and analyse sNMR data sets in a production setting. Complementing this, we provide a comprehensive review of past, recent, and on-going approaches that—while not currently widely adopted—present promising features should further research be dedicated to their development. As such, the objective of this paper is to provide both newcomers and specialists of the sNMR method a clear view of the existing signal processing techniques and strategies along with a structured proposition of promising research leads and future perspectives to be explored. Article Highlights: Electromagnetic noise mitigation is crucial to achieving good surface nuclear magnetic surveysA review of efficient noise reduction strategies and techniques is presentedPromising research perspectives which further enhance noise reduction efficiency are proposed
Keywords
- Electromagnetic noise, Review, Signal processing, Signal-to-noise ratio, Surface nuclear magnetic resonance
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Geophysics
- Earth and Planetary Sciences(all)
- Geochemistry and Petrology
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In: Surveys in geophysics, Vol. 43, No. 4, 08.2022, p. 999-1053.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Review of Acquisition and Signal Processing Methods for Electromagnetic Noise Reduction and Retrieval of Surface Nuclear Magnetic Resonance Parameters
AU - Kremer, Thomas
AU - Irons, Trevor
AU - Müller-Petke, Mike
AU - Juul Larsen, Jakob
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2022/8
Y1 - 2022/8
N2 - Abstract: Surface nuclear magnetic resonance (sNMR) is an electromagnetic hydrogeophysical method directly sensitive to liquid phase water in the upper ≈ 100 m of the subsurface. For this reason, sNMR is a uniquely capable of unambiguous exploration and quantitative characterization of groundwater and its structural environment in the near-surface. In spite of these physical attributes, the method suffers from notoriously low signal-to-noise ratio (SNR) which can limit its application. A large span of research has therefore been dedicated to sNMR developments including instrument innovations, acquisition methodologies and signal processing techniques which improve the SNR of the method and expand its scope of application outside the research world. Towards this goal, we include a description of community-developed best practice techniques and strategies that can be relied upon to successfully gather and analyse sNMR data sets in a production setting. Complementing this, we provide a comprehensive review of past, recent, and on-going approaches that—while not currently widely adopted—present promising features should further research be dedicated to their development. As such, the objective of this paper is to provide both newcomers and specialists of the sNMR method a clear view of the existing signal processing techniques and strategies along with a structured proposition of promising research leads and future perspectives to be explored. Article Highlights: Electromagnetic noise mitigation is crucial to achieving good surface nuclear magnetic surveysA review of efficient noise reduction strategies and techniques is presentedPromising research perspectives which further enhance noise reduction efficiency are proposed
AB - Abstract: Surface nuclear magnetic resonance (sNMR) is an electromagnetic hydrogeophysical method directly sensitive to liquid phase water in the upper ≈ 100 m of the subsurface. For this reason, sNMR is a uniquely capable of unambiguous exploration and quantitative characterization of groundwater and its structural environment in the near-surface. In spite of these physical attributes, the method suffers from notoriously low signal-to-noise ratio (SNR) which can limit its application. A large span of research has therefore been dedicated to sNMR developments including instrument innovations, acquisition methodologies and signal processing techniques which improve the SNR of the method and expand its scope of application outside the research world. Towards this goal, we include a description of community-developed best practice techniques and strategies that can be relied upon to successfully gather and analyse sNMR data sets in a production setting. Complementing this, we provide a comprehensive review of past, recent, and on-going approaches that—while not currently widely adopted—present promising features should further research be dedicated to their development. As such, the objective of this paper is to provide both newcomers and specialists of the sNMR method a clear view of the existing signal processing techniques and strategies along with a structured proposition of promising research leads and future perspectives to be explored. Article Highlights: Electromagnetic noise mitigation is crucial to achieving good surface nuclear magnetic surveysA review of efficient noise reduction strategies and techniques is presentedPromising research perspectives which further enhance noise reduction efficiency are proposed
KW - Electromagnetic noise
KW - Review
KW - Signal processing
KW - Signal-to-noise ratio
KW - Surface nuclear magnetic resonance
UR - http://www.scopus.com/inward/record.url?scp=85126753856&partnerID=8YFLogxK
U2 - 10.1007/s10712-022-09695-3
DO - 10.1007/s10712-022-09695-3
M3 - Review article
AN - SCOPUS:85126753856
VL - 43
SP - 999
EP - 1053
JO - Surveys in geophysics
JF - Surveys in geophysics
SN - 0169-3298
IS - 4
ER -