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

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

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

Hybrid Neural Network Methods For Lithology Identification In The Algerian Sahara

In this paper, we combine a probabilistic neural method with radial-bias functions in order to const

Permeability and pore pressure prediction from well logs using machine learning: A study in the Niger delta

Machine learning provides a robust method for characterizing reservoirs in the Niger Delta. This stu

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

Sign Language Prediction Model using Convolution Neural Network.

The barrier between the hearing and the deaf communities in Kenya is a major challenge leading to a