Deep learning electromagnetic inversion with convolutional neural networks

26 December 2018

Papers citing "Deep learning electromagnetic inversion with convolutional neural networks"

10 / 10 papers shown

Title
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information Peifan Jiang Xiang Wang Shuang Wang Fei Deng Kunpeng Wang Bin Wang Yuhan Yang AI4CE 270 0 0 12 Oct 2024
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network Anran Xu L. Heagy 45 4 0 07 Dec 2023
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems Xiaofei Guan Xintong Wang Hao Wu Zihao Yang Peng Yu PINN 35 11 0 25 Apr 2023
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction Yunyang Zhang Zhiqiang Gong Xiaoyu Zhao Wen Yao AI4CE 41 2 0 23 Feb 2023
Automated machine learning for borehole resistivity measurements M. Shahriari David Pardo S. Kargaran T. Teijeiro AI4CE 21 3 0 20 Jul 2022
Design of borehole resistivity measurement acquisition systems using deep learning M. Shahriari A. Hazra David Pardo 19 0 0 12 Jan 2021
Unsupervised seismic facies classification using deep convolutional autoencoder V. Puzyrev C. Elders CVBM 8 23 0 05 Aug 2020
Modeling extra-deep electromagnetic logs using a deep neural network S. Alyaev M. Shahriari David Pardo Ángel J. Omella D. Larsen N. Jahani E. Suter 13 21 0 18 May 2020
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements M. Shahriari David Pardo J. A. Rivera C. Torres-Verdín A. Picón Javier Del Ser S. Ossandón V. Calo 27 31 0 07 May 2020
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks V. Puzyrev A. Swidinsky 6 56 0 02 Dec 2019