Recent developments in the direct-current geoelectrical imaging method

MH Loke, JE Chambers, DF Rucker, O Kuras… - Journal of applied …, 2013 - Elsevier
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 …

[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 …

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 …

Quality over quantity: on workflow and model space exploration of 3D inversion of MT data

K Robertson, S Thiel, N Meqbel - Earth, Planets and Space, 2020 - Springer
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 …

3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh

H Cai, Z Long, W Lin, J Li, P Lin, X Hu - Geophysics, 2021 - library.seg.org
In controlled-source electromagnetic (CSEM) inversion with conventional regularization, the
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 …

Geoelectrical image of the Sabalan geothermal reservoir from magnetotelluric studies

S Ghanbarifar, SM Ghiasi, SH Hosseini, M Abedi… - Journal of Applied …, 2024 - Elsevier
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 …

Application of supervised descent method for 2D magnetotelluric data inversion

R Guo, M Li, F Yang, S Xu, A Abubakar - Geophysics, 2020 - pubs.geoscienceworld.org
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 …

Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes

D Blatter, A Ray, K Key - Geophysical Journal International, 2021 - academic.oup.com
Bayesian inversion of electromagnetic data produces crucial uncertainty information on
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 …