Two-dimensional deep learning inversion of magnetotelluric sounding data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Two-dimensional deep learning inversion of magnetotelluric sounding data
Authors
Keywords
-
Journal
Journal of Geophysics and Engineering
Volume 18, Issue 5, Pages 627-641
Publisher
Oxford University Press (OUP)
Online
2021-09-06
DOI
10.1093/jge/gxab040
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning audio magnetotellurics inversion using residual-based deep convolution neural network
- (2021) Zhengguang Liu et al. JOURNAL OF APPLIED GEOPHYSICS
- A deep learning approach to the inversion of borehole resistivity measurements
- (2020) M. Shahriari et al. COMPUTATIONAL GEOSCIENCES
- Removal of the Multi-source Noise in Airborne Electromagnetic Data Based on Deep Learning
- (2020) Xin Wu et al. GEOPHYSICS
- Deep Learning Inversion of Electrical Resistivity Data
- (2020) Bin Liu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Magnetotelluric exploration of deep-seated gold deposits in the Qingchengzi orefield, Eastern Liaoning (China), using a SEP system
- (2020) Qingyun Di et al. ORE GEOLOGY REVIEWS
- Deep learning electromagnetic inversion with convolutional neural networks
- (2019) Vladimir Puzyrev GEOPHYSICAL JOURNAL INTERNATIONAL
- Nonlinear inversion for magnetotelluric sounding based on deep belief network
- (2019) He Wang et al. Journal of Central South University
- The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network
- (2018) Xin Wu et al. GEOPHYSICS
- Automatic microseismic event picking via unsupervised machine learning
- (2017) Yangkang Chen GEOPHYSICAL JOURNAL INTERNATIONAL
- 3D inversion for multipulse airborne transient electromagnetic data
- (2016) Yunhe Liu et al. GEOPHYSICS
- ModEM: A modular system for inversion of electromagnetic geophysical data
- (2014) Anna Kelbert et al. COMPUTERS & GEOSCIENCES
- Three-dimensional parallel distributed inversion of CSEM data using a direct forward solver
- (2013) A. V. Grayver et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- VFSARES—a very fast simulated annealing FORTRAN program for interpretation of 1-D DC resistivity sounding data from various electrode arrays
- (2011) Shashi Prakash Sharma COMPUTERS & GEOSCIENCES
- Non-linearity in Bayesian 1-D magnetotelluric inversion
- (2011) Rongwen Guo et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- Parallel rapid relaxation inversion of 3D magnetotelluric data
- (2009) Changhong Lin et al. Applied Geophysics
- MT2DInvMatlab—A program in MATLAB and FORTRAN for two-dimensional magnetotelluric inversion
- (2009) Seong Kon Lee et al. COMPUTERS & GEOSCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started