Výsledky vyhledávání - "Rochinha, Fernando A."

Report

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

Autor: Freitas, Rodolfo S. M., Lima, Ágatha P. F., Chen, Cheng, Rochinha, Fernando A., Mira, Daniel, Jiang, Xi

Accurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels. The present work aims to construct cheap-to-compute machine learning (ML) models to ac

Externí odkaz: http://arxiv.org/abs/2110.09360

Zobrazit plný text záznamu

Report

An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty

Autor: Freitas, Rodolfo S. M., Barbosa, Carlos H. S., Guerra, Gabriel M., Coutinho, Alvaro L. G. A., Rochinha, Fernando A.

Seismic imaging faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurface geophysical properties. Reverse time migration (RTM) is a high-resolution depth migratio

Externí odkaz: http://arxiv.org/abs/2006.09550

Zobrazit plný text záznamu

Report

A workflow for seismic imaging with quantified uncertainty

Autor: Barbosa, Carlos H. S., Kunstmann, Liliane N. O., Silva, Rômulo M., Alves, Charlan D. S., Silva, Bruno S., Filho, Djalma M. S., Mattoso, Marta, Rochinha, Fernando A., Coutinho, Alvaro L. G. A.

The interpretation of seismic images faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurface geophysical properties. Understanding uncertainties' role and how t

Externí odkaz: http://arxiv.org/abs/2001.06444

Zobrazit plný text záznamu