3 papers
cs.LG2026
Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport
Gabriel F. Barros, Rômulo M. Silva, Alvaro L. G. A. Coutinho
This chapter reviews recent advances in Scientific Machine Learning (SciML) for modeling coupled fluid flow and transport phenomena governed by the incompressible Navier-Stokes and…
cs.CE2025
Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
Ezequiel S. Santos, Gabriel F. Barros, Amanda C. N. Oliveira +6
The solution of partial differential equations (PDEs) plays a central role in numerous applications in science and engineering, particularly those involving multiphase flow in poro…
physics.geo-ph2020
A workflow for seismic imaging with quantified uncertainty
Carlos H. S. Barbosa, Liliane N. O. Kunstmann, Rômulo M. Silva +6
The interpretation of seismic images faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurfa…