32 citations · 43 across the 5 of their papers we have counts for
6 papers
AI-driven Bayesian inference of statistical microstructure descriptors from finite-frequency waves
Wouter Klessens, Ivan Vasconcelos, Yang Jiao
The ability to image materials at the microscale from long-wavelength wave data is a major challenge to the geophysical, engineering and medical fields. Here, we present a framewor…
Reconstructing missing seismic data using Deep Learning
Dieuwertje Kuijpers, Ivan Vasconcelos, Patrick Putzky
In current seismic acquisition practice, there is an increasing drive for sparsely (in space) acquired data, often in irregular geometry. These surveys can trade off subsurface inf…
On the implementation of large-scale integral operators with modern HPC solutions -- Application to 3D Marchenko imaging by least-squares inversion
Matteo Ravasi, Ivan Vasconcelos
Numerical integral operators of convolution type form the basis of most wave-equation-based methods for processing and imaging of seismic data. As several of these methods require…
Predicting laboratory earthquakes with machine learning
Silke van Klaveren, Ivan Vasconcelos, Andre Niemeijer
The successful prediction of earthquakes is one of the holy grails in Earth Sciences. Traditional predictions use statistical information on recurrence intervals, but those predict…
PyLops -- A Linear-Operator Python Library for large scale optimization
Matteo Ravasi, Ivan Vasconcelos
Linear operators and optimisation are at the core of many algorithms used in signal and image processing, remote sensing, and inverse problems. For small to medium-scale problems,…
Seismic characterization of multiple fracture sets at Rulison Field, Colorado
Ivan Vasconcelos, Vladimir Grechka
Conventional fracture-characterization methods assume the presence of a single set of aligned, vertical cracks in the subsurface. We relax this assumption and demonstrate the feasi…