Jiajia Sun

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Yaoguo LiColorado School of MinesPatvirtintas el. paštas mines.edu
Xiaolong WeiEarth, Ocean and Atmospheric Sciences, University of British ColumbiaPatvirtintas el. paštas eoas.ubc.ca
Aline MeloAssistant Professor/LecturerPatvirtintas el. paštas ucd.ie
Jiefu ChenUniversity of HoustonPatvirtintas el. paštas uh.edu
Xuqing WuUniversity of HoustonPatvirtintas el. paštas uh.edu
Yanyan HuUniversity of HoustonPatvirtintas el. paštas central.uh.edu
YUEQIN HUANGUniversity of HoustonPatvirtintas el. paštas central.uh.edu
Mrinal K SenJackson School of Geosciences, Department of Earth and Planetary Sciences,Institute for GeophysicsPatvirtintas el. paštas utexas.edu
Cericia MartinezKoBold MetalsPatvirtintas el. paštas koboldmetals.com
Sing-Chun (Sally) WangPacific Northwest National LaboratoryPatvirtintas el. paštas pnnl.gov
Yuxuan WangDept of Earth and Atmospheric Sciences, University of HoustonPatvirtintas el. paštas uh.edu
Ruixue LeiEnvironmental Health and Engineering, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Mark EstesSt. Edward's UniversityPatvirtintas el. paštas stedwards.edu
Marcelo Leão-SantosProfessor and Researcher, University of Brasília UnBPatvirtintas el. paštas unb.br
Daniele ColomboSaudi AramcoPatvirtintas el. paštas aramco.com
Jeffrey ShraggeProfessor, Geophysics Department, Colorado School of MinesPatvirtintas el. paštas mines.edu
Sihong WuPostdoctoral fellow, University of HoustonPatvirtintas el. paštas pku.edu.cn
Prithwijit ChakrabortiPhD student, University College DublinPatvirtintas el. paštas ucdconnect.ie
Misac NabighianColorado School of Mines

Stebėti

Jiajia Sun

Department of Earth and Atmospheric Sciences, University of Houston

Patvirtintas el. paštas uh.edu - Pagrindinis puslapis

potential field inverse theory joint inversion electromagnetic machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c-means clustering J Sun, Y Li GEOPHYSICS 80 (4), ID1-ID18, 2015	185	2015
Joint inversion of multiple geophysical data using guided fuzzy c-means clustering J Sun, Y Li Geophysics 81 (3), ID37-ID57, 2016	157	2016
Adaptive Lp inversion for simultaneous recovery of both blocky and smooth features in a geophysical model J Sun, Y Li Geophysical Journal International 197 (2), 882-899, 2014	150	2014
Joint inversion of multiple geophysical and petrophysical data using generalized fuzzy clustering algorithms J Sun, Y Li Geophysical Journal International 208 (2), 1201-1216, 2017	94	2017
3D magnetization inversion using fuzzy c-means clustering with application to geology differentiation Y Li, J Sun Geophysics 81 (5), J61-J78, 2016	83	2016
Geology differentiation: A new frontier in quantitative geophysical interpretation in mineral exploration Y Li, A Melo, C Martinez, J Sun The Leading Edge 38 (1), 60-66, 2019	49	2019
Geophysical inversions applied to 3D geology characterization of an iron oxide copper gold (IOCG) deposit in Brazil AT Melo, J Sun, Y Li Geophysics 82 (5), K1-K13, 2017	48	2017
Geophysical inversion using petrophysical constraints with application to lithology differentiation J Sun, Y Li SEG Technical Program Expanded Abstracts 2011, 2644-2648, 2011	44	2011
Unveiling the 3D undercover structure of a Precambrian intrusive complex by integrating airborne magnetic and gravity gradient data into 3D quasi-geology model building J Sun, A Melo, JD Kim, X Wei Interpretation 8 (4), SS15-SS29, 2020	37	2020
Clustering surface ozone diurnal cycles to understand the impact of circulation patterns in Houston, TX C Bernier, Y Wang, M Estes, R Lei, B Jia, SC Wang, J Sun Journal of Geophysical Research: Atmospheres 124 (23), 13457-13474, 2019	33	2019
Uncertainty analysis of 3D potential-field deterministic inversion using mixed L_p norms X Wei, J Sun Geophysics 86 (6), G133-G158, 2021	28	2021
Predicting Magnetization Directions Using Convolutional Neural Networks F Nurindrawati, J Sun Journal of Geophysical Research: Solid Earth 125 (10), e2020JB019675, 2020	28	2020
Joint inversion of multiple geophysical data: A petrophysical approach using guided fuzzy c-means clustering J Sun, Y Li SEG Technical Program Expanded Abstracts 2012, 1-5, 2012	24	2012
Inversion of surface and borehole gravity with thresholding and density constraints J Sun, Y Li SEG Technical Program Expanded Abstracts 2010, 1798-1803, 2010	24	2010
3D probabilistic geology differentiation based on airborne geophysics, mixed L p norm joint inversion and physical property measurements X Wei, J Sun Geophysics 87 (4), K19-K33, 2022	23	2022
A general framework for joint inversion with petrophysical information as constraints J Sun, Y Li SEG Technical Program Expanded Abstracts 2013, 3093-3097, 2013	23	2013
Magnetization clustering inversion Part I: Building an automated numerical optimization algorithm J Sun, Y Li Geophysics 83 (5), J61-J73, 2018	22	2018
A deep learning enhanced framework for multi-physics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, Y Huang, J Chen Geophysics 88 (1), K13-K26, 2023	21	2023
A paradigm shift in magnetic data interpretation: Increased value through magnetization inversions Y Li, J Sun, SL Li, M Leão-Santos The Leading Edge 40 (2), 89-98, 2021	21	2021
Deep learning-enhanced multiphysics joint inversion Y Hu, X Wei, X Wu, J Sun, J Chen, J Chen, Y Huang First International meeting for applied geoscience & energy, 1721-1725, 2021	18	2021

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