In the field of chemical engineering, understanding the dynamics and probability of drop
coalescence is not just an academic pursuit, but a critical requirement for advancing process …

Extracting physical parameters that cannot be directly measured from an observed data set
remains a great challenge in several fields of science and physics. In many of these …

Full-waveform inversion (FWI) is a powerful seismic imaging methodology to estimate
geophysical parameters that honour the recorded waveforms (observed data), and it is …

We have designed a workflow to apply full-waveform inversion (FWI) to a new type of
acquisition recorded on ocean-bottom nodes (OBNs) in the Brazilian presalt area. The data …

We develop a workflow based on full-waveform inversion (FWI) to estimate P-wave
velocities in a deepwater Brazilian pre-salt field using the recently introduced circular shot …

Data-centric inverse problems are a process of inferring physical attributes from indirect
measurements. Full-waveform inversion (FWI) is a non-linear inverse problem that attempts …

Abstract Full-Waveform Inversion (FWI) is a high-resolution technique used in geophysics to
evaluate the physical parameters and construct subsurface models in a noisy and limited …

Time‐lapse images carry out important information about dynamic changes in Earth's
interior, which can be inferred using different full waveform inversion schemes. The …

The estimation of physical parameters from data analyses is a crucial process for the
description and modeling of many complex systems. Based on Rényi α-Gaussian …

The statistical basis of conventional full-waveform inversion (FWI) approaches is commonly
associated with Gaussian statistics. However, errors are rarely Gaussian in non-linear …