In this paper, we introduce a novel approach for generating texture imag...
Active flow control (AFC) involves manipulating fluid flow over time to
...
We present a case study of model-free reinforcement learning (RL) framew...
Reinforcement learning (RL) is a promising tool to solve robust optimal ...
Quantitative workflows utilizing real-time data to constrain ahead-of-bi...
The advent of fast sensing technologies allows for real-time model updat...
In the context of generating geological facies conditioned on observed d...
In this work, we investigate the capacity of Generative Adversarial Netw...
Optimal Bayesian design techniques provide an estimate for the best
para...
Surrogate-modelling techniques including Polynomial Chaos Expansion (PCE...
We investigate artificial neural networks as a parametrization tool for
...
We present a reduced order modeling (ROM) technique for subsurface
multi...
We propose a framework for synthesis of geological images based on an
ex...
We introduce a method for parametric generation of conditional geologica...
Several multiscale methods account for sub-grid scale features using coa...
We introduce a deep residual recurrent neural network (DR-RNN) as an
eff...
One of the main challenges in the parametrization of geological models i...