Lithofacies prediction from well log data using a multilayer perceptron (MLP) and Kohonen's self-organizing map (SOM) – a case study from the Algerian Sahara

Lithofacies Prediction from Well-Logs Data Using Hybrid Neural Network Model: A Case Study from Algerian Sahara

Permeability Prediction from Well Log Data Using Artificial Neural Networks: A Case Study of the Hawaz Formation in D-Field, Libya

Permeability is an important parameter in the characterization of any hydrocarbon reservoir. Yet, de

Psychographic clustering of blood donors in Egypt using Kohonen's self‐organizing maps

Abstract Blood donation has historically been marketed as one of the purest examples of altruist

Prediction of Permeability Using Group Method of Data Handling (GMDH) Neural Network from Well Log Data

Permeability is an important petrophysical parameter that controls the fluid flow within the reservo

Identification of Lithology from Well Log Data Using Machine Learning

INTRODUCTION: Reservoir characterisation and geomechanical modelling benefit significantly from dive

A new empirical model for enhancing well log permeability prediction, using nonlinear regression method: Case study from Hassi-Berkine oil field reservoir -Algeria

International audience The reservoir permeability (K) factor is the key parameter for