1 citations · 1 across the 2 of their papers we have counts for
3 papers
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
M. A. Sampaio, P. H. Ranazzi, M. J. Blunt
Currently, the methods called Iterative Ensemble Smoothers, especially the method called Ensemble Smoother with Multiple Data Assimilation (ESMDA) can be considered state-of-the-ar…
Soft Sensor for Bottom-Hole Pressure Estimation in Petroleum Wells Using Long Short-Term Memory and Transfer Learning
M. A. Fernandes, E. Gildin, M. A. Sampaio
Monitoring bottom-hole variables in petroleum wells is essential for production optimization, safety, and emissions reduction. Permanent Downhole Gauges (PDGs) provide real-time pr…
Data-driven models for production forecasting and decision supporting in petroleum reservoirs
Mateus A. Fernandes, Michael M. Furlanetti, Eduardo Gildin +1
Forecasting production reliably and anticipating changes in the behavior of rock-fluid systems are the main challenges in petroleum reservoir engineering. This project proposes to…