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Recent developments in the direct-current geoelectrical imaging method
There have been major improvements in instrumentation, field survey design and data
inversion techniques for the geoelectrical method over the past 25 years. Multi-electrode …
inversion techniques for the geoelectrical method over the past 25 years. Multi-electrode …
[HTML][HTML] Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations
D Degen, D Caviedes Voullième… - Geoscientific Model …, 2023 - gmd.copernicus.org
An accurate assessment of the physical states of the Earth system is an essential component
of many scientific, societal, and economical considerations. These assessments are …
of many scientific, societal, and economical considerations. These assessments are …
One-dimensional deep learning inversion of electromagnetic induction data using convolutional neural network
D Moghadas - Geophysical Journal International, 2020 - academic.oup.com
Conventional geophysical inversion techniques suffer from several limitations including
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
computational cost, nonlinearity, non-uniqueness and dimensionality of the inverse problem …
Quality over quantity: on workflow and model space exploration of 3D inversion of MT data
Abstract 3D inversions of magnetotelluric data are now almost standard, with computational
power now allowing an inversion to be performed in a matter of days (or hours) rather than …
power now allowing an inversion to be performed in a matter of days (or hours) rather than …
3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh
In controlled-source electromagnetic (CSEM) inversion with conventional regularization, the
reconstructed conductivity image is usually blurry and only has limited resolution. To …
reconstructed conductivity image is usually blurry and only has limited resolution. To …
Application of multiscale magnetotelluric data to mineral exploration: an example from the east Tennant region, Northern Australia
W Jiang, J Duan, M Doublier, A Clark… - Geophysical Journal …, 2022 - academic.oup.com
The footprint of a mineral system is potentially detectable at a range of scales and
lithospheric depths, reflecting the size and distribution of its components. Magnetotellurics is …
lithospheric depths, reflecting the size and distribution of its components. Magnetotellurics is …
Geoelectrical image of the Sabalan geothermal reservoir from magnetotelluric studies
The magnetotelluric (MT) survey of the Sabalan geothermal zone, which includes 22
stations along three traverse profiles across the main prospect zone, was conducted in …
stations along three traverse profiles across the main prospect zone, was conducted in …
Application of supervised descent method for 2D magnetotelluric data inversion
The supervised descent method (SDM) is applied to 2D magnetotellurics (MT) data
inversion. SDM contains offline training and online prediction. The training set is composed …
inversion. SDM contains offline training and online prediction. The training set is composed …
Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes
Bayesian inversion of electromagnetic data produces crucial uncertainty information on
inferred subsurface resistivity. Due to their high computational cost, however, Bayesian …
inferred subsurface resistivity. Due to their high computational cost, however, Bayesian …
Two-dimensional probabilistic inversion of plane-wave electromagnetic data: methodology, model constraints and joint inversion with electrical resistivity data
M Rosas-Carbajal, N Linde… - Geophysical Journal …, 2014 - academic.oup.com
Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are
well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet …
well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet …