Cargando…
Echo State Neural Network Based on an Improved Gray Wolf Algorithm Predicts Porosity through Logging Data
[Image: see text] In oil exploration and development, many reservoir parameters are very essential for reservoir description, especially porosity. The porosity obtained by indoor experiments is reliable, but human and material resources will be greatly invested. Experts have introduced machine learn...
Autores principales: | Youzhuang, Sun, Junhua, Zhang, Yongan, Zhang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268646/ https://www.ncbi.nlm.nih.gov/pubmed/37332818 http://dx.doi.org/10.1021/acsomega.3c02217 |
Ejemplares similares
-
Bidirectional Long
Short-term Neural Network Based
on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention)
Predicts Porosity through Well Logging Parameters
por: Sun, Youzhuang, et al.
Publicado: (2023) -
The Bidirectional
Gated Recurrent Unit Network Based
on the Inception Module (Inception-BiGRU) Predicts the Missing Data
by Well Logging Data
por: Sun, Youzhuang, et al.
Publicado: (2023) -
Data Collection Strategy Based on OSELM and Gray Wolf Optimization Algorithm for Wireless Sensor Networks
por: Bai, Yang, et al.
Publicado: (2022) -
The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm
por: Liu, Kang, et al.
Publicado: (2021) -
Path Planning with Time Windows for Multiple UAVs Based on Gray Wolf Algorithm
por: Zhang, Changchun, et al.
Publicado: (2022)