Imparting a phase during excitation for improved resolution in surface nuclear magnetic resonance

Geophysics ◽  
2014 ◽  
Vol 79 (6) ◽  
pp. E329-E339 ◽  
Author(s):  
Denys Grombacher ◽  
Jan O. Walbrecker ◽  
Rosemary Knight

Surface nuclear magnetic resonance (NMR) is a geophysical technique that provides the ability to noninvasively image water content in the subsurface. To improve the ability of this method to produce images representative of the true subsurface structure, we require high spatial resolution. We derive a method to provide improved spatial resolution through the use of novel excitation strategies designed to enhance and exploit the information content within the quadrature component of the NMR signal. In a traditional surface NMR experiment, the frequency of the perturbing magnetic field ([Formula: see text]) is chosen to equal the Larmor frequency of the hydrogen nuclei in the subsurface. In this case, it is assumed that the signal phase is determined entirely by the conductivity structure of the subsurface. Several studies have found that modeling the signal phase accurately and inverting a complex-valued NMR signal, can improve the spatial resolution of the surface NMR water content images. We propose alternative excitation schemes designed to generate a complex-valued signal, where the quadrature component can be controlled experimentally and was larger than that generated by the conductivity effects. This allowed a single excitation to provide two samplings of the subsurface properties, one stored in the real component and another in the quadrature component. To test if the alternative sampling strategies can provide improved spatial resolution in surface NMR, we evaluated a synthetic study contrasting the performance of three techniques. We contrasted two techniques designed to generate a complex-valued NMR signal during excitation, called off-resonance excitation and composite pulse excitation, to a traditional on-resonance excitation. We demonstrated that our proposed excitation schemes were able to better resolve boundaries between layers with contrasting properties, and we produced images with improved spatial resolution.

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. WB33-WB48 ◽  
Author(s):  
Denys Grombacher ◽  
Mike Müller-Petke ◽  
Rosemary Knight

To produce reliable estimates of aquifer properties using surface nuclear magnetic resonance (NMR), an accurate forward model is required. The standard surface NMR forward model assumes that excitation occurs through a process called on-resonance excitation, which occurs when the transmit frequency is set to the Larmor frequency. However, this condition is often difficult to satisfy in practice due to the challenge of accurately determining the Larmor frequency within the entire volume of investigation. As such, in situations where an undesired offset is present between the assumed and true Larmor frequency, the accuracy of the forward model is degraded. This is because the undesired offset leads to a condition called off-resonance excitation, which impacts the signal amplitude, phase, and spatial distribution in the subsurface, subsequently reducing the accuracy of surface NMR estimated aquifer properties. Our aim was to reduce the impact of an undesired offset between the assumed and true Larmor frequency to ensure an accurate forward model in the presence of an uncertain Larmor frequency estimate. We have developed a methodology where data are collected using two different transmit frequencies, each an equal magnitude above and below the assumed Larmor frequency. These data are combined, through a method we refer to as frequency cycling, in a manner that allow the component well-described by our estimate of the Larmor frequency to be stacked coherently, whereas the component related to the presence of an undesired offset is combined destructively. In synthetic and field studies, we have determined that frequency cycling is able to mitigate the influence of an undesired offset providing more accurate estimates of aquifer properties. Furthermore, the frequency-cycling method stabilized the complex inversion of surface NMR data, allowing advantages associated with complex inversion to be exploited.


1966 ◽  
Vol 6 (43) ◽  
pp. 89-100 ◽  
Author(s):  
Charles Richardson ◽  
E. E. Keller

Abstract Nuclear magnetic properties of hydrogen are used for the quantitative analysis of the water content of sea ice from 0° C. to −40° C. The data on water content are utilized to calculate the brine volume and brine weight content of the samples. Over a range of water contents of 2% to 96% the standard deviation of the nuclear magnetic resonance data from chemical analysis data is ±0.6%, An estimate of water content in a sample of sea ice at −70° C. is given, and the value of nuclear magnetic resonance measurements for field studies is discussed.


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