3D block QT inversion of surface nuclear magnetic resonance data

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. E363-E376 ◽  
Author(s):  
Chuandong Jiang ◽  
Junyan Liu ◽  
Baofeng Tian ◽  
Shuqin Sun ◽  
Jun Lin ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Water Content ◽  
Relaxation Times ◽  
Vertical Direction ◽  
Model Space ◽  
Subsurface Water ◽  
Artificial Lake ◽  
Desktop Computer ◽  
Nuclear Magnetic

Surface nuclear magnetic resonance (surface NMR) has up to now rarely been applied to 3D subsurface modeling. Inversion approaches currently in use are smooth inversion techniques that are not useful for identifying sharp geologic boundaries. Although they are already computationally expensive, the resulting models are restricted to imaging the subsurface water content distribution and do not deliver relaxation times [Formula: see text] based on the QT inversion scheme established elsewhere. We have developed a method of 3D block QT inversion that uses horizontal smoothness constraints to resolve sharp boundaries in the vertical direction and the distributions of the water content and relaxation time [Formula: see text]. We have improved the computational efficiency, i.e., the ability to perform the inversion using a common desktop computer, by gating the surface NMR data, reducing the model space to monoexponential decays within the subsurface bodies, and inverting based on blocklike structures instead of smooth distributions. We have developed a synthetic study to assess the effectiveness of our block QT inversion technique in imaging 3D water content distributions, and we compared the results with those of a smooth inversion. Furthermore, we evaluated results from a field survey conducted on the frozen surface of an artificial lake. We found that our block QT inversion approach provides results that are superior to those of smooth inversion and consistent with the available construction plan of the lake. We expect that 3D block QT inversion will be a useful approach also in other geologic settings, such as buried valleys, because it overcomes the current limitations of applying 3D surface NMR inversion.

scholarly journals Accounting for relaxation during pulse effects for long pulses and fast relaxation times in surface nuclear magnetic resonance

Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. JM23-JM36 ◽  
Author(s):  
Denys Grombacher ◽  
Ahmad A. Behroozmand ◽  
Esben Auken
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Water Content ◽  
Relaxation Times ◽  
Initial Amplitude ◽  
Fast Relaxation ◽  
Direct Modeling ◽  
Geophysical Technique ◽  
Insight Into ◽  
Nuclear Magnetic

Surface nuclear magnetic resonance (NMR) is a geophysical technique providing noninvasive insight into aquifer properties. To ensure that reliable water content estimates are produced, accurate modeling of the excitation process is necessary. This requires that relaxation during pulse (RDP) effects be accounted for because they may lead to biased water content estimates if neglected. In surface NMR, RDP is not directly included into the excitation modeling, rather it is accounted for by adjusting the time at which the initial amplitude of the signal is calculated. Previous work has demonstrated that estimating the initial amplitude of the signal as the value obtained by extrapolating the observed signal to the middle of the pulse can greatly improve performance for the on-resonance pulse. To better understand the reliability of these types of approaches (which do not directly include RDP in the modeling), the performance of these approaches is tested using numerical simulations for a broad range of conditions, including for multiple excitation pulse types. Hardware advances that now allow the routine measurement of much faster relaxation times (where these types of approaches may lead to poor water content estimates) and a recent desire to use alternative transmit schemes demand a flexible protocol to account for RDP effects in the presence of fast relaxation times for arbitrary excitation pulses. To facilitate such a protocol, an approach involving direct modeling of RDP effects using estimates of the subsurface relaxation times is presented to provide more robust and accurate water content estimates under conditions representative of surface NMR.

Algorithms for removing surface water signals from surface nuclear magnetic resonance infiltration surveys

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. WB97-WB107 ◽  
Author(s):  
Samuel Falzone ◽  
Kristina Keating
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Surface Water ◽  
Magnetic Resonance ◽  
Water Content ◽  
Water Resource Management ◽  
Measurement Techniques ◽  
Subsurface Water ◽  
Aquifer Storage ◽  
Water Signal ◽  
Nuclear Magnetic

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.

scholarly journals Characterization of Experimental Ischemic Brain Edema Utilizing Proton Nuclear Magnetic Resonance Imaging

1986 ◽  
Vol 6 (2) ◽  
pp. 212-221 ◽  
Author(s):  
Hiroyuki Kato ◽  
Kyuya Kogure ◽  
Hitoshi Ohtomo ◽  
Masahiro Izumiyama ◽  
Muneshige Tobita ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Water Content ◽  
Relaxation Times ◽  
Nmr Imaging ◽  
Tissue Water Content ◽  
T2 Relaxation ◽  
Tissue Water ◽  
T1 And T2 ◽  
Nuclear Magnetic

Correlations between T1 and T2 relaxation times and water and electrolyte content in the normal and ischemic rat and gerbil brains were studied by means of both nuclear magnetic resonance (NMR) spectroscopic and imaging methods. In the spectroscopic experiment on excised rat brains, T1 was linearly dependent on tissue water content and T2 was prolonged in edematous tissue to a greater extent than expected by an increase in water content, showing that T2 possesses a greater sensitivity for edema identification and localization. Changes in Na+ and K+ content of the tissue mattered little in the prolongation of relaxation times. Serial NMR imaging of gerbil brains insulted with permanent hemispheric ischemia offered early lesion detection in T1- and especially T2-weighted images (detection as soon as 30 min after insult). The progressive nature of lesions was also imaged. Calculated T1 and T2 relaxation times in regions of interest correlated excellently with tissue water content ( r = 0.892 and 0.744 for T1 and T2, respectively). As a result, detection of cerebral ischemia utilizing NMR imaging was strongly dependent on a change in tissue water content. The different nature of T1 and T2 relaxation times was also observed.

An emerging technology: Nuclear magnetic resonance microscopy

1988 ◽  
Vol 46 ◽  
pp. 1000-1001
Author(s):  
M.J. Hennessy ◽  
E. Kwok
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Relaxation Times ◽  
Basic Research ◽  
Local Environment ◽  
Magnetic Resonance Images ◽  
Nmr Microscopy ◽  
Mri Scans ◽  
Temperature Relaxation ◽  
Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

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