Quantitative predictions of natural and induced phenomena in fractured rock is one of the
great challenges in the Earth and Energy Sciences with far‐reaching economic and …

Full-waveform inversion (FWI) is a challenging data-fitting procedure based on full-wavefield
modeling to extract quantitative information from seismograms. High-resolution imaging at …

We present PYHESSIAN, a new scalable framework that enables fast computation of
Hessian (ie, second-order derivative) information for deep neural networks. PYHESSIAN …

We propose a new method to tackle the mapping challenge from time-series data to spatial
image in the field of seismic exploration, ie, reconstructing the velocity model directly from …

Conventional full-waveform seismic inversion attempts to find a model of the subsurface that
is able to predict observed seismic waveforms exactly; it proceeds by minimizing the …

To better understand the subsurface behavior of subducting slabs and their relation to the
tectonic evolution of the overriding plate, we conduct a full waveform inversion on a large …

Full waveform inversion using the conventional L 2 distance to measure the misfit between
seismograms is known to suffer from cycle skipping. An alternative strategy is proposed in …

We recognized that the envelope fluctuation and decay of seismic records carries ultra low-
frequency (ULF, ie, the frequency below the lowest frequency in the source spectrum) …

Recent progress in numerical methods and computer science allows us today to simulate
the propagation of seismic waves through realistically heterogeneous Earth models with …

We have developed and implemented a robust and practical scheme for anisotropic 3D
acoustic full-waveform inversion (FWI). We demonstrate this scheme on a field data set …