3 papers
cs.LG2026
Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations
Rodrigo S. Luna, Thiago H. N. Coelho, Luiz S. L. Neto +8
This chapter discusses how a data-driven machine learning approach can reproduce key aspects of the physical behavior of multiphase flows in complex geological formations. We propo…
physics.geo-ph2026
Deploying Self-Supervised Learning for Real Seismic Data Denoising
Giovanny A. M. Arboleda, Claudio D. T. de Souza, Carlos E. M. dos Anjos +6
Self-supervised learning (SSL) has emerged as a promising approach to seismic data denoising as it does not require clean reference data. In this work, the deployment of the Noisy-…
physics.ao-ph2025
A multiresolution weather dataset for the Southwestern South Atlantic (2017-2018)
Luan C. V. Silva, LÃvia Sancho, Mauricio S. Silva +19
The Southwestern South Atlantic (SWSA) is a key region for climate research and renewable energy assessment, yet high-resolution meteorological data are scarce. We present a multir…