… on SEM images within a predictive framework for permeability estimation are lacking. In
order to close this gap, we introduce a deep learning (DL) algorithm for the direct prediction of …

… of various machine learning algorithms for the prediction of … alteration of porosity and
permeability after reservoir desalination … First, we estimate salts concentrations with corresponding …

… machine learning methods including conventional artificial neural network, genetic algorithm…
of hybridized machine learning methods in porosity and permeability estimations can lead …

… and genetic algorithms for the prediction of permeability in tight … more reliable way to estimate
the permeability of very tight … learning techniques for the estimation of the permeability of …

… Herein, Artificial Neural Network (ANN) coupling with Bayesian optimization algorithm is …
included model using machine learning to estimate fracture permeability under complex physics …

… learning algorithms to assess the permeability. A broad variety of supervised learning algorithms
… found that the predicted permeability of a complex carbonate by machine learning (ML) …

… -SSD algorithm was designed and employed to estimate the … generalizable in comparison
with classic algorithms [3]. Thus, … algorithms were used as Neural Network learning algorithms. …

… estimate. To circumvent the limitations inherent to PNM, we develop a machine learning (ML)
algorithm for … 15], 2D thin section images were used to estimate permeability using CNN by …

… approach for rapidly estimating permeability in anisotropic … The shrinking and expanding
algorithms are employed as … parameters are critical to estimate permeability. Afterwards, direct …

… RF is one of the most powerful and supervised machine-learning algorithms that are both
capable of regression and classification of task. As the name suggests this method creates with …