TY - JOUR
T1 - Observation of spikelets in steady-state surface nuclear magnetic resonance data
AU - Grombacher, Denys
AU - Griffiths, Matthew Peter
AU - Vang, Mathias Østbjerg
AU - Kass, Mason Andrew
AU - Larsen, Jakob Juul
PY - 2024
Y1 - 2024
N2 - Spikelets in nuclear magnetic resonance (NMR) data occur at predictable frequencies dependent on the repetition time of the excitation sequence. Although spikelets are well documented in other NMR fields, we report their presence in steady-state surface NMR data for the first time. These observations are accompanied by analytical developments to understand and predict their behavior, which follow directly from existing steady-state surface NMR modeling. We show that spikelets represent copies of the surface NMR signal occurring at multiple locations in the frequency domain, including locations that are distinct from the Larmor frequency. These features are shown to be detectable without requiring additional effort in the field and are shown to be readily processed and modeled with only minor modifications to the processing and modeling workflows. Finally, field spikelet data are also inverted to demonstrate that these data can be fit using subsurface models consistent with a reference surface NMR inversion.
AB - Spikelets in nuclear magnetic resonance (NMR) data occur at predictable frequencies dependent on the repetition time of the excitation sequence. Although spikelets are well documented in other NMR fields, we report their presence in steady-state surface NMR data for the first time. These observations are accompanied by analytical developments to understand and predict their behavior, which follow directly from existing steady-state surface NMR modeling. We show that spikelets represent copies of the surface NMR signal occurring at multiple locations in the frequency domain, including locations that are distinct from the Larmor frequency. These features are shown to be detectable without requiring additional effort in the field and are shown to be readily processed and modeled with only minor modifications to the processing and modeling workflows. Finally, field spikelet data are also inverted to demonstrate that these data can be fit using subsurface models consistent with a reference surface NMR inversion.
UR - http://www.scopus.com/inward/record.url?scp=85201381335&partnerID=8YFLogxK
U2 - 10.1190/GEO2023-0145.1
DO - 10.1190/GEO2023-0145.1
M3 - Journal article
AN - SCOPUS:85201381335
SN - 0016-8033
VL - 89
SP - J1-J8
JO - Geophysics
JF - Geophysics
IS - 2
ER -