Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks
In this study, we used artificial neural networks (ANN) to estimate static Young’s modulus (E<sub>static</sub>) for sandstone formation from conventional well logs. ANN design parameters were optimized using the self-adaptive differential evolution optimization algorithm. The A...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/11/2125 |