A Bird�s Eye View on the Applications of Neural Networks in Reservoir Characterization
This review illustrates the most recent improvements and implementations of ANN in characterizing reservoirs in different regions for faster understanding of young petroleum geoscientists and engineers in the industry. Artificial Neural Networks (ANNs), one of the AI tools, has been effectively empl...
Saved in:
| Main Authors: | Yazmyradova, G., Hermana, M., Soleimani, H., Sivabalan, V. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33162 / |
| Published: |
Slovnaft VURUP a.s
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132970075&partnerID=40&md5=bb2423c2229f6cdf975af422893b839e http://eprints.utp.edu.my/33162/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Bird�s Eye View on the Applications of Neural Networks in Reservoir Characterization
by: Yazmyradova, G., et al.
Published: (2022) -
Dense Tissue Pattern Characterization Using Deep Neural Network
by: Kumar, I., et al.
Published: (2022) -
Pay Zone Determination Using Enhanced Workflow and Neural Network
by: Syahputra, L.A., et al.
Published: (2022) -
An Optimized Recurrent Neural Network for Metocean Forecasting
by: Alqushaibi, A., et al.
Published: (2020) -
Simulation and experimental investigation of dielectric and magnetic nanofluids in reduction of oil viscosity in reservoir sandstone
by: Sikiru, S., et al.
Published: (2022)