Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir
Permeability and porosity are the most difficult parameters to estimate in the oil reservoir because they are varying significantly over the reservoir, especially in the carbonate formation. Porosity and permeability can only be sampled at the well location. However, porosity is easy to estimate dir...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Human Development
2018-05-01
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| Series: | UHD Journal of Science and Technology |
| Subjects: | |
| Online Access: | http://journals.uhd.edu.iq/index.php/uhdjst/article/view/25/56 |
| _version_ | 1811315612483321856 |
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| author | Tariq kakarash Qays M. Sadeq |
| author_facet | Tariq kakarash Qays M. Sadeq |
| author_sort | Tariq kakarash |
| collection | DOAJ |
| description | Permeability and porosity are the most difficult parameters to estimate in the oil reservoir because they are varying significantly over the reservoir, especially in the carbonate formation. Porosity and permeability can only be sampled at the well location. However, porosity is easy to estimate directly from well log data, permeability is not. In addition, permeability measurements from core samples are very expensive. Carbonate reservoirs are very difficult to characterize because of their tendency to be tight and heterogeneous due to deposition and diagenetic processes. Therefore, many engineers and geologists try to establish methods to get the best characterization for the carbonate reservoir. In this study, available routine core data from three wells are used to develop permeability model based on hydraulic flow unit method (HFUM) (RQI/FZI) for cretaceous carbonate middle reservoirs of Bai Hassan oil field. The results show that the HFUM is work perfectly to characterize and predict permeability for uncored wells because R2 ≥ 0.9. It is indicating that permeability can be accurately predicted from porosity if rock type is known. |
| first_indexed | 2024-04-13T11:34:20Z |
| format | Article |
| id | doaj.art-bb73379df6de4043bf0184d85e0d63a5 |
| institution | Directory Open Access Journal |
| issn | 2521-4209 2521-4217 |
| language | English |
| last_indexed | 2024-04-13T11:34:20Z |
| publishDate | 2018-05-01 |
| publisher | University of Human Development |
| record_format | Article |
| series | UHD Journal of Science and Technology |
| spelling | doaj.art-bb73379df6de4043bf0184d85e0d63a52022-12-22T02:48:30ZengUniversity of Human DevelopmentUHD Journal of Science and Technology2521-42092521-42172018-05-0121818https://doi.org/10.21928/uhdjst.v2n1y2018.pp8-18Development Permeability prediction for Bai Hassan Cretaceous Carbonate ReservoirTariq kakarash0Qays M. Sadeq1Department of Law and Political Science , University of Human Development, Sulaymania, IraqDepartment of Petroleum Geoscience , Universiti Teknologi Petronas, Seri Iskandar, MalaysiaPermeability and porosity are the most difficult parameters to estimate in the oil reservoir because they are varying significantly over the reservoir, especially in the carbonate formation. Porosity and permeability can only be sampled at the well location. However, porosity is easy to estimate directly from well log data, permeability is not. In addition, permeability measurements from core samples are very expensive. Carbonate reservoirs are very difficult to characterize because of their tendency to be tight and heterogeneous due to deposition and diagenetic processes. Therefore, many engineers and geologists try to establish methods to get the best characterization for the carbonate reservoir. In this study, available routine core data from three wells are used to develop permeability model based on hydraulic flow unit method (HFUM) (RQI/FZI) for cretaceous carbonate middle reservoirs of Bai Hassan oil field. The results show that the HFUM is work perfectly to characterize and predict permeability for uncored wells because R2 ≥ 0.9. It is indicating that permeability can be accurately predicted from porosity if rock type is known.http://journals.uhd.edu.iq/index.php/uhdjst/article/view/25/56Carbonate ReservoirCore DataDykstra-Parsons Coefficient (VK)Hydraulic Flow Unit Method (RQI/FZI)PermeabilityPorosityWinland Method |
| spellingShingle | Tariq kakarash Qays M. Sadeq Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir UHD Journal of Science and Technology Carbonate Reservoir Core Data Dykstra-Parsons Coefficient (VK) Hydraulic Flow Unit Method (RQI/FZI) Permeability Porosity Winland Method |
| title | Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir |
| title_full | Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir |
| title_fullStr | Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir |
| title_full_unstemmed | Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir |
| title_short | Development Permeability prediction for Bai Hassan Cretaceous Carbonate Reservoir |
| title_sort | development permeability prediction for bai hassan cretaceous carbonate reservoir |
| topic | Carbonate Reservoir Core Data Dykstra-Parsons Coefficient (VK) Hydraulic Flow Unit Method (RQI/FZI) Permeability Porosity Winland Method |
| url | http://journals.uhd.edu.iq/index.php/uhdjst/article/view/25/56 |
| work_keys_str_mv | AT tariqkakarash developmentpermeabilitypredictionforbaihassancretaceouscarbonatereservoir AT qaysmsadeq developmentpermeabilitypredictionforbaihassancretaceouscarbonatereservoir |