Focusing joint inversion of gravity and magnetic data using a clustering stabilizer in a space of weighted parameters
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Focusing joint inversion of gravity and magnetic data using a clustering stabilizer in a space of weighted parameters. / Xu, Zhengwei; Zou, Guangui; Wei, Qianqian; Tian, Junqi; Yuan, Hemin.
I: Geophysical Journal International, Bind 224, Nr. 2, 01.02.2021, s. 1344-1359.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Focusing joint inversion of gravity and magnetic data using a clustering stabilizer in a space of weighted parameters
AU - Xu, Zhengwei
AU - Zou, Guangui
AU - Wei, Qianqian
AU - Tian, Junqi
AU - Yuan, Hemin
N1 - Publisher Copyright: © 2021 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - This paper develops a minimum-support focusing stabilizer to perform a joint inversion of the vertical components of gravity and magnetic data using fuzzy c-means clustering (FCM) with the regularized Newton method in a space of weighted parameters. Not only does this joint inversion technology arrive at the conditionally well-posed traditional potential field inversion, but it also increases the structural correlation between multiple inverted models. The FCM and the focusing stabilizer make it possible to balance the convergence of the data space (D) and the model space (M), guiding multimodal geophysical parameters toward assigned petrophysical values, which makes the results more stable and realistic. Two model studies are presented to illustrate the method, a simple synthetic model with two rectangular bodies in a homogenous background and a realistic model of the Volcanogenic Massive Sulfide (VMS) deposits in northeastern New Brunswick, Canada. These models demonstrate that the new focusing joint inversion algorithm produces better images than traditional methods because the FCM function uses the structural correlation of density contrast and magnetic susceptibility as constraints.
AB - This paper develops a minimum-support focusing stabilizer to perform a joint inversion of the vertical components of gravity and magnetic data using fuzzy c-means clustering (FCM) with the regularized Newton method in a space of weighted parameters. Not only does this joint inversion technology arrive at the conditionally well-posed traditional potential field inversion, but it also increases the structural correlation between multiple inverted models. The FCM and the focusing stabilizer make it possible to balance the convergence of the data space (D) and the model space (M), guiding multimodal geophysical parameters toward assigned petrophysical values, which makes the results more stable and realistic. Two model studies are presented to illustrate the method, a simple synthetic model with two rectangular bodies in a homogenous background and a realistic model of the Volcanogenic Massive Sulfide (VMS) deposits in northeastern New Brunswick, Canada. These models demonstrate that the new focusing joint inversion algorithm produces better images than traditional methods because the FCM function uses the structural correlation of density contrast and magnetic susceptibility as constraints.
KW - Gravity anomalies and Earth structure
KW - Joint inversion
KW - Magnetic anomalies: modelling and interpretation
KW - Persistence, memory, correlations, clustering
U2 - 10.1093/gji/ggaa518
DO - 10.1093/gji/ggaa518
M3 - Journal article
AN - SCOPUS:85099883453
VL - 224
SP - 1344
EP - 1359
JO - Geophysical Journal International
JF - Geophysical Journal International
SN - 0956-540X
IS - 2
ER -
ID: 306971828