Picture for Eduardo Gildin

Eduardo Gildin

Texas A&M University

Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation

Add code
Sep 16, 2024
Viaarxiv icon

Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields

Add code
Jul 13, 2024
Viaarxiv icon

Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls

Add code
Oct 10, 2023
Viaarxiv icon

Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls

Add code
May 15, 2023
Viaarxiv icon

Investigation of Proper Orthogonal Decomposition for Echo State Networks

Add code
Dec 02, 2022
Viaarxiv icon

DREAMS: Drilling and Extraction Automated System

Add code
Jun 09, 2021
Figure 1 for DREAMS: Drilling and Extraction Automated System
Figure 2 for DREAMS: Drilling and Extraction Automated System
Figure 3 for DREAMS: Drilling and Extraction Automated System
Figure 4 for DREAMS: Drilling and Extraction Automated System
Viaarxiv icon