First Evidence of the Detection of an Underground Nuclear Magnetic Resonance Signal in a Tunnel

2018 ◽  
Vol 23 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Tingting Lin ◽  
Yujing Yang ◽  
Xiaofeng Yi ◽  
Chuandong Jiang ◽  
Tiehu Fan

During the excavation of underground tunnels and ore mining, accidents related to sudden water inflows often occur. As the only technique used for the direct detection of groundwater, nuclear magnetic resonance (NMR) has advantages for the detection of disaster-inducing water flows. However, NMR has commonly been applied only at the ground surface using large-size loop with several turns (typically tens of meters). For the first time, we demonstrate that the water signal in a tunnel can be directly detected using an underground nuclear magnetic resonance (UNMR) experiment. Specifically, we describe the design of a six-meter multi-turn transmitting coil and receiving coil. By conducting UNMR measurements in the Dadushan Tunnel, located in southwestern China, we not only verified the ability to detect the UNMR signal, but also matched the observed data using a 1D inverse model. [Figure: see text]


Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. WB97-WB107 ◽  
Author(s):  
Samuel Falzone ◽  
Kristina Keating

Surface nuclear magnetic resonance (surface NMR) is a geophysical method that directly detects water and can be used to determine the depth profile of water content within the subsurface. Although surface NMR has proven useful for investigating groundwater in the saturated zone, its use to study the vadose zone is still in development. A recent study for the South Avra Valley Storage and Recovery Project (SAVSARP) demonstrated that surface NMR can be used to monitor infiltrating water associated with aquifer storage and recovery, a water resource management method in which surface water is stored in local aquifers during wet periods for use during dry periods. However, one of the major issues associated with using surface NMR to monitor infiltrating water is the influence of large bodies of surface water. We have examined the effect that large bodies of surface water have on the surface NMR signal, and we have developed three algorithms (the a priori, late-signal, and long-signal-inversion [LSI] algorithms) to remove this signal. Using synthetic data sets, we have assessed the efficacy of each algorithm and determined that, although each algorithm is capable of suppressing the signal from a water layer with a thickness [Formula: see text], the LSI algorithm provides the most accurate and consistent results. Using a field example from the SAVSARP survey, we have evaluated the use of the LSI algorithm to suppress the surface water signal. Our results have indicated that the signal from surface water detected in a surface NMR survey can be suppressed to obtain the subsurface water content without the use of new measurement techniques or additional equipment.



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