Prediction of permeability and effective porosity values using ANN in Maleh field
This study presents the development of an intelligent system designed to predict permeability and effective porosity in wells where core samples are unavailable. An artificial neural network (ANN) was constructed with three hidden layers—comprising 15, 10, and 4 neurons, respectively—utilizing well...
Saved in:
| Main Authors: | Mohammed Essa Nassani, Ali Alaji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional Autónoma de México, Instituto de Geofísica
2025-07-01
|
| Series: | Geofísica Internacional |
| Subjects: | |
| Online Access: | https://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1830 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
INTEGRATION OF MULTIPLE LOG DATA FOR ACCURATE POROSITY AND PERMEABILITY ESTIMATION, NIGER DELTA BASIN
by: Attai, E. S., et al.
Published: (2024-02-01) -
Permeability Evaluation Method for Marine Low Porosity and Permeability Sandstone Based on Improved Electrical Imaging Porosity Spectrum
by: LIU Junyi, et al.
Published: (2023-12-01) -
Comprehensive Evaluation Method for Complex Fluid in Low Porosity and Low Permeability Reservoirs
by: ZHENG Yang, et al.
Published: (2024-08-01) -
Evaluating reservoir permeability from core data: Leveraging boosting techniques and ANN for heterogeneous reservoirs
by: Amad Hussen, et al.
Published: (2025-06-01) -
Quantification of mass wasting volume associated with the giant landslide Maleh Kabood induced by the 2017 Kermanshah earthquake from InSAR
by: Abolghasem Goorabi
Published: (2021-03-01)