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Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry
Prior model construction is a fundamental component in geophysical inversion, especially Bayesian inversion. The prior model, usually …
Xiaolong Wei, Zhen Yin, Celine Scheidt, Kris Darnell, Lijing Wang, Jef Caers
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3D Monte Carlo geometry inversion using gravity data
Diverse Monte Carlo methods have gained widespread use across a broad range of applications. However, the challenge of 3D Monte Carlo …
Xiaolong Wei, Jiajia Sun, Mrinal K. Sen
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Reconstruction of multiple target bodies using trans-dimensional Bayesian inversion with different constraints
Geophysical geometry inversion aims to reconstruct the geometrical characteristics of subsurface target bodies, which is different from …
Xiaolong Wei, Jiajia Sun, Mrinal K. Sen
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Three-dimensional cooperative inversion of airborne magnetic and gravity gradient data using deep-learning techniques
Using multiple geophysical methods has become a prevailing approach in numerous geophysical applications to investigate subsurface …
Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqin Huang, Jiefu Chen
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Crustal Imaging across the Princess Elizabeth Land, East Antarctica from 2D Gravity and Magnetic Inversions
Lin Li, Enzhao Xiao, Xiaolong Wei, Ning Qiu, Khalid Latif, Jingxue Guo, Bo Sun
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Quantifying uncertainty of salt body shapes recovered from gravity data using trans-dimensional Markov chain Monte Carlo sampling
Xiaolong Wei, Jiajia Sun, Mrinal K. Sen
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Mapping critical mineral resources using airborne geophysics, 3D joint inversion and geology differentiation: A case study of a buried niobium deposit in the Elk Creek carbonatite, Nebraska, USA
Critical minerals are an integral part of the energy transition because of their important and, sometimes, irreplaceable uses in solar …
Xiaolong Wei, Kenneth Li, Jiajia Sun
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3D probabilistic geology differentiation based on airborne geophysics, mixed L p norm joint inversion and physical property measurements
The physical property models obtained from geophysical inversions can be converted to a 3D quasi-geology model via a process termed …
Xiaolong Wei, Jiajia Sun
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A deep learning enhanced framework for multi-physics joint inversion
Using joint inversion to reveal underlying geology has drawn considerable research attention due to the availability of multiple …
Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiuping Chen, Yueqin Huang, Jiefu Chen
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Uncertainty analysis of 3D potential-field deterministic inversion using mixed L p norms
The non-uniqueness problem in geophysical inversion, especially potential-field inversion, is widely recognized. It is argued that …
Xiaolong Wei, Jiajia Sun
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