Annette Hein Mentor: Dr. Andrew Parsekian Geology and Geophysics

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Presentation transcript:

Annette Hein Mentor: Dr. Andrew Parsekian Geology and Geophysics Removing Harmonic Noise from Geophysical Surface Nuclear Magnetic Resonance Measurements Annette Hein Mentor: Dr. Andrew Parsekian Geology and Geophysics

What is Nuclear Magnetic Resonance? Geophysical method adapted from common chemistry technique. Nothing to do with nuclear fuels or fission. Detects groundwater. Introduction Methods Results Conclusions

Why do we care? NMR produces point soundings (water content as a function of depth) from a surface measurement. [5] Useful for hydrologic studies, and can replace expensive wells. Not widely used because electromagnetic noise (generators, powerlines, etc) hinders the measurement. [1,7] Introduction Methods Results Conclusions

Signal processing basics Signal: what we’re trying to measure; the groundwater response Noise: everything else we measured; lightning, electric fences, powerlines, …. Processing problem: Signal + NOISE Math! Introduction Methods Results Conclusions

Removing powerline noise Most published approaches use knowledge about the noise to subtract it. [2,3,4] My approach uses knowledge about the signal to separate the noise. Focuses on powerline harmonics, one of the most common noise sources. Introduction Methods Results Conclusions

Powerline harmonics Time domain Frequency domain Introduction Methods Results Conclusions

Conceptual NMR water signal Time domain [5] Frequency domain Introduction Methods Results Conclusions

Removing powerline harmonics Time domain Frequency domain Introduction Methods Results Conclusions

Symmetry based noise removal Transform NMR data into the frequency domain. Identify and remove corrupted portions of the spectrum. Reconstruct the corrupted portions with “mirror image” frequencies from the other side of the spectrum. In the absence of other noise, this procedure recovers an uncorrupted signal. Introduction Methods Results Conclusions

Symmetry based noise removal Advantages: Simpler than most published methods for removing powerline harmonics from NMR. Does not disrupt the dataset Requires no prior knowledge about the harmonics. Disadvantages: Will not work in certain special cases. Will not work on extremely noisy data. Introduction Methods Results Conclusions

Modeling results Introduction Methods Results Conclusions

Modeling results Introduction Methods Results Conclusions

Conclusions Symmetry based processing removes the powerline harmonics without disrupting the signal. It is based on the mathematical theory describing NMR signals and exploits knowledge of the signal. When powerline harmonics are removed, the water content and T2* inversions are more accurate. Introduction Methods Results Conclusions

Acknowledgments Thanks to WyCEHG and Dr Andrew Parsekian. Thanks to the Wyoming EPSCoR Community College Transition Program.

Questions?

References [1] Dalgaard, E., Christiansen, P., Larsen, J.J., and Auken, E. (2014). A temporal and spatial analysis of anthropogenic noise sources affecting SNMR. Journal of Applied Geophysics, 110, 34-42. [2] Ghanati, R., Hafizi, M., and Fallahsafari, M. (2016). Surface nuclear magnetic resonance signals recovery by integration of a non‐linear decomposition method with statistical analysis. Geophysical Prospecting, 64(2), 489-504. DOI 10.1111/1365-2478.12296 [3] Jiang, C., Lin, J., Duan, Q., Sun, S., & Tian, B. (2011). Statistical stacking and adaptive notch filter to remove high-level electromagnetic noise from MRS measurements. Near Surface Geophysics, 9(5), 459-468. DOI 10.3997/1873-0604.2011026 [4] Larsen, J.J., Dalgaard, E., & Auken, E. (2014). Noise cancelling of MRS signals combining model-based removal of powerline harmonics and multichannel Wiener filtering. Geophysical Journal International, 196 (2), 828-836. DOI: 10.1093/gji/ggt422 [5] Legchenko, A. and Shushakov, O. (1998). Inversion of surface NMR data. Geophysics, 63(1), 75-84. [6] Müller-Petke, M., and Yaramanci, U. (2010). QT inversion—comprehensive use of the complete surface NMR data set. Geophysics, 75(4), WA199-WA209. [7] Walsh, D. (2008). Multi-channel surface NMR instrumentation and software for 1D/2D groundwater investigations. Journal of Applied Geophysics, 66(3-4), 140-150.