Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …

In the ever-evolving landscape of tomographic imaging algorithms, this literature review
explores a diverse array of themes shaping the field's progress. It encompasses …

The dynamic time warping (DTW) misfit function has been used for full-waveform inversion
to mitigate the local minima issue. However, it is not a smooth measurement and can yield …

Full-waveform inversion (FWI) is an optimization process of fitting observed and modeled
data to reconstruct high-resolution subsurface physical models. In acoustic FWI (AFWI) …

We describe an FWI workflow that is robust to cycle skipping and takes advantage of the
diversity of local minima among different objective functions and parameter choices. There …

Marine seismic data sets contain highly redundant information. Data analytics and machine
learning-based solutions should provide opportunities to reduce turnaround and improve …

In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …

Novel Misfit Functions for Full-waveform Inversion Page 1 Novel Misfit Functions for Full-waveform
Inversion Dissertation by Fuqiang Chen In Partial Fulfillment of the Requirements For the Degree …

In the early stage of acoustic full-waveform inversion (AFWI), it is important to exploit the long-
wavelength features of the gradient and suppress its short-wavelength features to update …

Full waveform inversion is one of the most powerful seismic data processing techniques to
image subsurface geological structures. By solving a local optimization problem that …