Article
Geochemistry & Geophysics
Xin Huang, Colin G. Farquharson, Changchun Yin, Liangjun Yan, Xiaoyue Cao, Bo Zhang
Summary: The spectral-element (SE) method, based on the Galerkin technique, is gradually being implemented in geophysical electromagnetic (EM) 3D simulation, providing accuracy and efficiency for airborne EM forward modeling. By adapting the conventional SE method, small-scale conductivity variations and complex boundaries in realistic earth models can be better handled, allowing for the use of a coarse mesh.
Article
Computer Science, Interdisciplinary Applications
Teddi Herring, Lindsey J. Heagy, Adam Pidlisecky, Edwin Cey
Summary: In this study, a hybrid inversion algorithm that combines parametric and smooth inversion strategies was developed to improve the estimation of subsurface conductivity. Tested on synthetic models, the hybrid inversion showed better resolution of feature boundaries and magnitudes with fewer artifacts compared to the standard smooth inversion. The sensitivity analysis demonstrated successful recovery of subsurface features under different conditions, showcasing the potential of this hybrid inversion strategy in various applications.
COMPUTERS & GEOSCIENCES
(2022)
Article
Geochemistry & Geophysics
Yanfu Qi, Xiu Li, Changchun Yin, Huaiyuan Li, Zhipeng Qi, Jianmei Zhou, Yunhe Liu, Xiuyan Ren
Summary: In this article, a 3-D AEM inversion algorithm is developed for a topographic earth model. The algorithm utilizes the time-domain finite-element algorithm based on unstructured mesh and the Gauss-Newton method, improving computational efficiency and effectively considering the influence of topography on AEM inversions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
Niels B. Christensen
Summary: In modern hydrogeological investigations, combining different sources of information allows for the construction of dynamic hydraulic models, leading to improved geological interpretations and better resolution of subsurface resistivity structures.
JOURNAL OF APPLIED GEOPHYSICS
(2022)
Article
Environmental Sciences
Tao Chen, Dikun Yang
Summary: The study focuses on the systematic errors in airborne and semi-airborne transient electromagnetic surveys caused by the inexact geometry of transmitter and receiver, proposing a universal approach for modeling arbitrarily complex geometries. Simulations show that considering tilt can provide more accurate estimates of near-surface conductivity in groundwater problems.
Article
Environmental Sciences
Seogi Kang, Rosemary Knight, Meredith Goebel
Summary: This study developed a new approach to image the bedrock surface and the confining Corcoran Clay layer using AEM data in the Central Valley of California. The approach incorporated prior knowledge of the targets and improved imaging through multiple inversions and an interpolation process. The results showed that the AEM data provided reliable information about the bedrock surface and the Corcoran Clay layer.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Xiaodong Yu, Xi Yu, Xuben Wang, Congde Lu, Peng Zhang, Bin Chen
Summary: This paper presents a novel trans-dimensional Bayesian inversion strategy for airborne time-domain electromagnetic data, which uses a combining sampling update method to implement the model sampling. The effectiveness of the strategy was validated by both synthetic data and survey data, showing improved inversion results, shorter burn-in period, and reduced total sampling times.
JOURNAL OF APPLIED GEOPHYSICS
(2022)
Article
Geochemistry & Geophysics
Bo Zhang, Changchun Yin, Yunhe Liu, Xiuyan Ren, Vikas C. Baranwal, Bin Xiong
Summary: In this study, a new 3D AEM inversion scheme based on the finite-element method and unstructured tetrahedral local meshes was developed. Compared to traditional methods, this scheme uses irregular tetrahedral meshes to better accommodate topography and complex underground structures. The results demonstrate that the method can accurately model AEM responses and recover subsurface main resistivity structures.
Article
Geosciences, Multidisciplinary
Marina G. Persova, Yuri G. Soloveichik, George M. Trigubovich, Denis V. Vagin, Alexander M. Grif, Dmitry S. Kiselev, Anastasia P. Sivenkova
Summary: We propose an approach to solve the 3-D inverse problems of airborne time-domain electromagnetic (TD-EM) survey in complex geoelectrical conditions. The geoelectrical model of the geological medium is parameterized using global and local structures, and different types of parameters are used to characterize it. Regularizing terms are employed in the inversion process to control the self-crossing of geometric boundaries and extend the physical parameters. By conducting the inversion in two stages and using local block structures, the position and type of 3-D inhomogeneities under the overburdens can be accurately determined.
JOURNAL OF APPLIED GEOPHYSICS
(2022)
Article
Environmental Sciences
Peng Bai, Giulio Vignoli, Thomas Mejer Hansen
Summary: The study demonstrates that while using 1D forward modelling in airborne electromagnetic surveys is more computationally efficient than 3D inversions, it is important to consider the modeling error which can lead to false features in the reconstructions. Incorporating this information into the inversion process improves target reconstructions and ensures correct reliability estimates.
Article
Geochemistry & Geophysics
Muhammad Rizwan Asif, Nikolaj Foged, Pradip Kumar Maurya, Denys James Grombacher, Anders Vest Christiansen, Esben Auken, Jakob Juul Larsen
Summary: Airborne time-domain electromagnetic surveys produce large data sets, and inverting these data sets to obtain subsurface resistivity structures is computationally intensive. We propose integrating neural networks to expedite the inversion process. We provide three inversion schemes that balance computational time and modeling accuracy, achieving significant speedup without loss in modeling accuracy.
Article
Geochemistry & Geophysics
Juntao Lu, Xuben Wang, Zhengwei Xu, Michael S. Zhdanov, Ming Guo, Minqiang Teng, Zhen Liu
Summary: This article introduces a quasi-2D inversion scheme to extract resistivity and IP parameters from SATEM data. The proposed scheme utilizes a fast semi-analytical method for Jacobian matrix calculation and employs a staged inversion strategy with lateral constraints, which improves inversion stability and recovers underground resistivity and IP property distributions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Changchun Yin, Zonghui Gao, Yang Su, Yunhe Liu, Xin Huang, Xiuyan Ren, Bin Xiong
Summary: The airborne electromagnetic (AEM) method for geophysical survey uses aircraft to tow EM instruments, traditionally based on 1D models which can often result in inaccurate results due to the complexity of underground earth. Developing efficient 3D forward modeling algorithms is crucial for accurately determining underground electrical structures in AEM surveys.
Article
Geochemistry & Geophysics
Longying Xiao, Gianluca Fiandaca, Pradip K. Maurya, Anders Vest Christiansen, Lea Levy
Summary: This paper presents an inversion scheme for 3-D TEM time-lapse data using a generalized minimum support norm and addresses the challenges of survey repetition and non-optimal data coverage. Through synthetic and field examples, the relevance and robustness of the implementation of 3-D TL inversion for TEM monitoring are demonstrated.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Yang Su, Changchun Yin, Yunhe Liu, Xiuyan Ren, Bo Zhang, Bin Xiong
Summary: A novel inversion method for time-domain airborne electromagnetic (AEM) surveys based on a triaxial anisotropic model is proposed in this study. The method includes forward modeling, sensitivity calculation, Gauss-Newton optimization, and model decomposition to improve computational efficiency. Numerical experiments demonstrate the advantages of anisotropic inversion over isotropic inversion in obtaining more reasonable results for earth structures.