Article
Geochemistry & Geophysics
Rongzhe Zhang, Haoyuan He, Xintong Dong, Tonglin Li, Cai Liu, Xinze Kang
Summary: This study proposes a 3-D gravity data focusing inversion algorithm based on the supervised descent method (SDM) to overcome the limitations of traditional gravity inversion methods. The method shows good potential for improving the accuracy and efficiency of gravity data inversion.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
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
Junjie Xue, Jiulong Cheng, Leiv-J Gelius, Xin Wu, Yang Zhao
Summary: This article presents an improved virtual wave processing method using the full waveform inversion (FWI) approach, which allows for accurate determination of underground conductivity information.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
Colton Kohnke, Yaoguo Li
Summary: Geophysical data is used to understand the sub-surface geology by analyzing its geometrical characteristics. The zero-level curve of magnetic data corresponds to a conic section that reveals the location and orientation of a subsurface magnetic dipole. This understanding can be extended to time-domain electromagnetics, where the zero-level curve can track the changes in a magnetic dipole and provide information about the conductor's location and orientation.
JOURNAL OF APPLIED GEOPHYSICS
(2023)
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
Geochemistry & Geophysics
Zekui Jia, Rui Guo, Maokun Li, Guojun Wang, Zhiqu Liu, Yun Shao
Summary: In this work, the supervised descent method is applied to model-based inversion in order to address the nonuniqueness and ill-posedness of the problem. By using prior information and learning descent directions iteratively, the method effectively compensates for the lack of data and achieves decent accuracy in both synthetic and experimental data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
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
Mathematics
Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass
Summary: This study introduces a stochastic process-based inversion method to effectively estimate hydrocarbon resistivity in seafloor logging, utilizing Gaussian processes for EM profile evaluation and optimization algorithms to find the optimal solution. The approach enhances estimation accuracy and time efficiency, providing significant improvements in quantifying uncertainty and minimizing computational resources.
Article
Geochemistry & Geophysics
Jian Chen, Yang Zhang, Tingting Lin
Summary: This article proposes a method of using pseudo seismic wavelet (PSW) data for TEM machine learning inversion to solve the problems encountered when directly processing raw TEM data with machine learning. Simulation and example applications demonstrate that ML inversion based on PSW data can significantly improve TEM imaging accuracy, providing a new approach for the combination of electromagnetic data processing and ML technology.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Endre Nadasi, Alexander Gribenko, Michael S. Zhdanov
Summary: This paper presents a regularized method for 3D inversion of magnetotelluric (MT) data using the Gauss-Newton algorithm in the data space. It takes into account the distortion effects of near-surface geoelectrical inhomogeneities by simultaneously inverting the MT impedance tensor and tipper. The method was successfully applied to a large-scale 3D inversion of MT data collected over the Western Superior region, identifying several conductive anomalies in the Earth's crust and upper mantle.
PURE AND APPLIED GEOPHYSICS
(2022)
Article
Geochemistry & Geophysics
Vitaliy Ogarko, Jeremie Giraud, Roland Martin, Mark Jessell
Summary: Introducing geological information during geophysical data inversion can reduce uncertainties in reconstructed images. Providing probabilistic information on the number of lithologies and ranges of rock properties is important for bounding physical properties. This technique, based on bounding constraints, offers a more reliable uncertainty reduction method and serves as an alternative to traditional clustering or Gaussian-mixture approaches.
Article
Construction & Building Technology
Xue Liu, Chunwei Pan, Fangkun Zheng, Ying Sun, Qingsong Gou
Summary: This paper investigates the geological conditions of the excavation area before the construction of the bridge bored pile in the karst area. By using the transient electromagnetic method combined with the QPSO-CLS joint algorithm, the karst development in the bearing layer of the pile foundation is detected with improved accuracy and better inversion results, demonstrating the efficiency and adaptability of the proposed algorithm.
ADVANCES IN CIVIL ENGINEERING
(2022)
Article
Geochemistry & Geophysics
Zhengyu Xu, Zhihong Fu, Nengyi Fu
Summary: The transient electromagnetic (TEM) method is commonly used in various fields such as regional mineral resources surveys, environmental engineering geological surveys, and shallow surface geophysical exploration. However, the interpretation and inversion of TEM data can be a challenging process. This article introduces the firefly algorithm (FA) technology for TEM inversion, which has been found to have a high degree of fitting, good anti-noise property, and fast search speed. The effectiveness of the FA algorithm is demonstrated through the comparison with other algorithms and the application in pseudo 2-D inversion.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Automation & Control Systems
Alex A. Gorodetsky, Cosmin Safta, John D. Jakeman
Summary: This paper presents an efficient reverse-mode differentiation algorithm for contraction operations in tensor networks. The algorithm leverages the tensor contraction tree and exploits the bilinear property of contraction and the single path property of trees. It demonstrates improved performance in supervised learning and real-world data fitting tasks.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Yishu Sun, Sihe Huang, Yang Zhang, Jun Lin
Summary: The efficient preprocessing method based on a multi-step processing strategy can effectively and quickly suppress power harmonic noise in urban underground space measurement, improving the signal-to-noise ratio, and is particularly suitable for towed data processing.
Article
Engineering, Electrical & Electronic
Rui Guo, Xiaoqian Song, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2019)
Article
Mathematics, Applied
Rui Guo, Maokun Li, Fan Yang, Shengheng Xu, Aria Abubakar
Article
Geochemistry & Geophysics
Rui Guo, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar
Article
Geosciences, Multidisciplinary
Liting Rao, Xin Wu, Rui Guo, Jianshen Gao, Bo Dang
JOURNAL OF APPLIED GEOPHYSICS
(2020)
Article
Geochemistry & Geophysics
Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, Jiefu Chen
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2020)