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SEOGI KANG
SEOGI KANG
Assistant Professor at the University of Manitoba
Подтвержден адрес электронной почты в домене stanford.edu - Главная страница
Название
Процитировано
Процитировано
Год
SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications
R Cockett, S Kang, LJ Heagy, A Pidlisecky, DW Oldenburg
Computers & Geosciences 85, 142-154, 2015
3322015
A framework for simulation and inversion in electromagnetics
LJ Heagy, R Cockett, S Kang, GK Rosenkjaer, DW Oldenburg
Computers & Geosciences 107, 1-19, 2017
1342017
Inversion of airborne geophysics over the DO-27/DO-18 kimberlites—Part 3: Induced polarization
S Kang, D Fournier, DW Oldenburg
Interpretation 5 (3), T327-T340, 2017
55*2017
A feasibility study of sequestration monitoring using the mCSEM method at a deep brine aquifer in a shallow sea
S Kang, SJ Seol, J Byun
Geophysics 77 (2), E117-E126, 2012
472012
On recovering distributed IP information from inductive source time domain electromagnetic data
S Kang, DW Oldenburg
Geophysical Journal International 207 (1), 174-196, 2016
432016
Inversion of airborne geophysics over the DO-27/DO-18 kimberlites—Part 2: Electromagnetics
D Fournier, S Kang, MS McMillan, DW Oldenburg
Interpretation 5 (3), T313-T325, 2017
40*2017
Time domain electromagnetic‐induced polarisation: Extracting more induced polarisation information from grounded source time domain electromagnetic data
S Kang, DW Oldenburg
Geophysical Prospecting 66 (S1), 74-86, 2018
25*2018
Deep mineral exploration using multi-scale electromagnetic geophysics: The Lalor massive sulphide deposit case study
D Yang, D Fournier, S Kang, DW Oldenburg
Canadian Journal of Earth Sciences 56 (5), 544-555, 2019
232019
3D electromagnetic modelling and inversion: a case for open source
DW Oldenburg, LJ Heagy, S Kang, R Cockett
Exploration Geophysics 51 (1), 25-37, 2020
212020
Improved Imaging of the Large‐Scale Structure of a Groundwater System with Airborne Electromagnetic Data
S Kang, R Knight, M Goebel
Water Resources Research, e2021WR031439, 2022
202022
Distribution of vapor and condensate in a hydrothermal system: Insights from self‐potential inversion at Mount Tongariro, New Zealand
CA Miller, SG Kang, D Fournier, G Hill
Geophysical Research Letters 45 (16), 8190-8198, 2018
202018
Pitfalls of 1D inversion of small-loop electromagnetic data for detecting man-made objects
S Kang, SJ Seol, Y Chung, HS Kwon
Journal of applied geophysics 90, 96-109, 2013
192013
Detecting induced polarisation effects in time-domain data: a modelling study using stretched exponentials
S Kang, DW Oldenburg, LJ Heagy
Exploration Geophysics 51 (1), 122-133, 2020
162020
mCSEM inversion for CO2 sequestration monitoring at a deep brine aquifer in a shallow sea
S Kang, K Noh, SJ Seol, J Byun
Exploration Geophysics 46 (3), 236-252, 2015
152015
Exploring the model space of airborne electromagnetic data to delineate large‐scale structure and heterogeneity within an aquifer system
S Kang, R Knight, T Greene, C Buck, G Fogg
Water Resources Research 57 (10), e2021WR029699, 2021
142021
The effect of power lines on time-domain airborne electromagnetic data
S Kang, N Dewar, R Knight
Geophysics 86 (2), E123-E141, 2021
142021
Managed aquifer recharge site assessment with electromagnetic imaging: Identification of recharge flow paths
K Pepin, R Knight, M Goebel‐Szenher, S Kang
Vadose Zone Journal 21 (3), e20192, 2022
132022
Recovering IP information in airborne-time domain electromagnetic data
S Kang, DW Oldenburg
ASEG Extended Abstracts 2015 (1), 1-4, 2015
132015
Isolating the poroelastic response of the groundwater system in InSAR data from the Central Valley of California
S Kang, R Knight
Geophysical Research Letters 50 (9), e2023GL103222, 2023
122023
Moving between dimensions in electromagnetic inversions
S Kang*, R Cockett, LJ Heagy, DW Oldenburg
SEG technical program expanded abstracts 2015, 5000-5004, 2015
122015
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Статьи 1–20