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Frequency-domain CSEM method over conductive and magnetically susceptible anomalies: forward and inverse modeling

March 31 @ 10:00 am - 11:00 am

About the Presenter
Kyubo Noh
RISE (Reservoir Imaging with Seismic & Electromagnetic methods) Lab
Department of Natural Resources and Environmental Engineering
Hanyang University

Kyubo Noh is a Ph.D. student at RISE lab, Hanyang University, Seoul. He received the B.Sc. degree (Summa Cum Laude) in Geoenvironmental System Engineering from Hanyang University, Seoul, in 2012. The same year he started a joint M.Sc. and Ph.D. program (two years for the M.Sc. and three years for the Ph.D.) in RISE lab, Hanyang University. He received Global Ph.D. Fellowship by Nation Research Foundation of Korea from March 2012 to February 2017. His research interests are in the EM modeling and imaging.


In this talk I present a series of research outcomes of my Ph.D. dissertation studies focusing on the frequency domain CSEM methods for imaging conductive and magnetically susceptible structures. This talk starts with presenting development of 3-D CSEM forward modeling algorithm based on the edge finite element method and results of response analysis to understand the physical behavior of a conductive and/or magnetically susceptible anomaly. I then focus on frequencies of a few hertz at which the magnetostatic response due to the induced magnetization dominates the EM induction response. Taking advantage of this property magnetic measurement can be inverted to image subsurface magnetic heterogeneity without having to consider conductivity structure. Incidentally, sensitivity of commercially available sensors and geomagnetic noise spectra at these frequencies are reasonably manageable compared to the anticipated magnetic field. Subsequently, this talk describes the 3-D inversion results of airborne CSEM data, acquired at 900 Hz – 56 kHz range which needed to be inverted for both conductive and susceptible heterogeneities. Lastly, I present ongoing research, including location based parameterization of EM inverse problem for hydraulic fracturing monitoring.


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Erika Gasperikova