31 citations · 32 across the 3 of their papers we have counts for
4 papers
Seismic Inversion by Multi-dimensional Newtonian Machine
Yuqing Chen, Erdinc Saygin
Newtonian machine learning (NML) is a wave-equation inversion method that inverts single-dimensional latent space (LS) features of the seismic data for retrieving the subsurface ba…
Seismic Inversion by Hybrid Machine Learning
Yuqing Chen, Erdinc Saygin
We present a new seismic inversion method that uses deep learning (DL) features for the subsurface velocity model estimation. The DL feature is a low-dimensional representation of…
Seismic Inversion by Newtonian Machine Learning
Yuqing Chen, Gerard T. Schuster
We present a wave-equation inversion method that inverts skeletonized data for the subsurface velocity model. The skeletonized representation of the seismic traces consists of the…
Deep Convolutional Neural Network and Sparse Least Squares Migration
Zhaolun Liu, Yuqing Chen, Gerard Schuster
We recast the forward pass of a multilayered convolutional neural network (CNN) as the solution to the problem of sparse least squares migration (LSM). The CNN filters and feature…