An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN)
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Springer
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/58783 |
| _version_ | 1848760339261292544 |
|---|---|
| author | Ben-Awuah, Joel Padmanabhan, E. |
| author_facet | Ben-Awuah, Joel Padmanabhan, E. |
| author_sort | Ben-Awuah, Joel |
| building | Curtin Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T10:14:12Z |
| format | Journal Article |
| id | curtin-20.500.11937-58783 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:14:12Z |
| publishDate | 2017 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-587832018-12-14T00:57:29Z An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) Ben-Awuah, Joel Padmanabhan, E. 2017 Journal Article http://hdl.handle.net/20.500.11937/58783 10.1007/s12517-017-2955-7 Springer restricted |
| spellingShingle | Ben-Awuah, Joel Padmanabhan, E. An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title | An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title_full | An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title_fullStr | An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title_full_unstemmed | An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title_short | An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN) |
| title_sort | enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ann) |
| url | http://hdl.handle.net/20.500.11937/58783 |