Three-dimensional inversion of geophysical field data on an unstructured mesh using deep learning neural networks, applied to magnetic data
暂无分享,去创建一个
[1] Vladimir Puzyrev,et al. Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks , 2019, Comput. Geosci..
[2] Yaoguo Li,et al. Application of magnetic amplitude inversion in exploration for volcanic units in a basin environment , 2012 .
[3] Vladimir Puzyrev,et al. Deep learning electromagnetic inversion with convolutional neural networks , 2018, Geophysical Journal International.
[4] Dominique Fournier,et al. Research Note: A proposed procedure for ameliorating edge effects in magnetic data transformations , 2020 .
[5] Douglas W. Oldenburg,et al. Separation of regional and residual magnetic field data , 1998 .
[6] Weichang Li,et al. Deep-learning electromagnetic monitoring coupled to fluid flow simulators , 2020 .
[7] Yuji Kim,et al. Geophysical inversion versus machine learning in inverse problems , 2018, The Leading Edge.
[8] M. Okabe. Analytical expressions for gravity anomalies due to homogeneous polyhedral bodies and translations into magnetic anomalies , 1979 .
[9] R. Parker. Geophysical Inverse Theory , 1994 .
[10] M. Cracknell,et al. Combining Machine Learning and Geophysical Inversion for Applied Geophysics , 2015 .
[11] Mrinal K. Sen,et al. Global Optimization Methods in Geophysical Inversion , 1995 .