Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field
A 3D Geological model was generated using an advanced geostatistical method for the Cretaceous reservoir in the Bai Hassan oil field. In this study, a 3D geological model was built based on data from four wells for the petrophysical property distribution of permeability, porosity, water sat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Union of Iraqi Geologists (UIG)
2023-12-01
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| Series: | Iraqi Geological Journal |
| Online Access: | https://igj-iraq.org/igj/index.php/igj/article/view/1829 |
| _version_ | 1797370587938553856 |
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| author | Noor Kadhim Ghanim Farman |
| author_facet | Noor Kadhim Ghanim Farman |
| author_sort | Noor Kadhim |
| collection | DOAJ |
| description | A 3D Geological model was generated using an advanced geostatistical method for the Cretaceous reservoir in the Bai Hassan oil field. In this study, a 3D geological model was built based on data from four wells for the petrophysical property distribution of permeability, porosity, water saturation, and NTG by using Petrel 2021 software. The geological model was divided into a structural model and a property model. The geological structures of the cretaceous reservoir in the Bai Hassan oil field represent elongated anticline folds with two faults, which had been clarified in the 3D Structural model. Thirteen formations represent the Cretaceous reservoir which includes (Shiranish, Mashurah, U.kometan, Kometan Shale, L. Kometan, Gulneni, Dokan, Mauddud, Jawan/Mud, Batiwah, Shuaiba, Garagu, L.Sarmord). According to the property model, the model for each petrophysical property was constructed based on core data and CPI. By using the geostatistical method, the property model was constructed. The Mauddud Formation is considered one of the most promising hydrocarbon reservoirs in the Bai Hassan oil field based on the results of the property model, where the ratio of water saturation is around 30%, the porosity value is reaching up to 31%, and the net to gross ratio is averaging at 70%. |
| first_indexed | 2024-03-08T18:04:37Z |
| format | Article |
| id | doaj.art-bb37b8da66a84f54bd3d5c0306c72b00 |
| institution | Directory Open Access Journal |
| issn | 2414-6064 2663-8754 |
| language | English |
| last_indexed | 2024-03-08T18:04:37Z |
| publishDate | 2023-12-01 |
| publisher | Union of Iraqi Geologists (UIG) |
| record_format | Article |
| series | Iraqi Geological Journal |
| spelling | doaj.art-bb37b8da66a84f54bd3d5c0306c72b002024-01-01T19:51:18ZengUnion of Iraqi Geologists (UIG)Iraqi Geological Journal2414-60642663-87542023-12-01562F21422710.46717/igj.56.2F.14ms-2023-12-20Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil FieldNoor KadhimGhanim Farman A 3D Geological model was generated using an advanced geostatistical method for the Cretaceous reservoir in the Bai Hassan oil field. In this study, a 3D geological model was built based on data from four wells for the petrophysical property distribution of permeability, porosity, water saturation, and NTG by using Petrel 2021 software. The geological model was divided into a structural model and a property model. The geological structures of the cretaceous reservoir in the Bai Hassan oil field represent elongated anticline folds with two faults, which had been clarified in the 3D Structural model. Thirteen formations represent the Cretaceous reservoir which includes (Shiranish, Mashurah, U.kometan, Kometan Shale, L. Kometan, Gulneni, Dokan, Mauddud, Jawan/Mud, Batiwah, Shuaiba, Garagu, L.Sarmord). According to the property model, the model for each petrophysical property was constructed based on core data and CPI. By using the geostatistical method, the property model was constructed. The Mauddud Formation is considered one of the most promising hydrocarbon reservoirs in the Bai Hassan oil field based on the results of the property model, where the ratio of water saturation is around 30%, the porosity value is reaching up to 31%, and the net to gross ratio is averaging at 70%.https://igj-iraq.org/igj/index.php/igj/article/view/1829 |
| spellingShingle | Noor Kadhim Ghanim Farman Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field Iraqi Geological Journal |
| title | Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field |
| title_full | Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field |
| title_fullStr | Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field |
| title_full_unstemmed | Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field |
| title_short | Advanced Geostatistical Techniques for Building 3D Geological Modeling: A Case Study from Cretaceous Reservoir in Bai Hassan Oil Field |
| title_sort | advanced geostatistical techniques for building 3d geological modeling a case study from cretaceous reservoir in bai hassan oil field |
| url | https://igj-iraq.org/igj/index.php/igj/article/view/1829 |
| work_keys_str_mv | AT noorkadhim advancedgeostatisticaltechniquesforbuilding3dgeologicalmodelingacasestudyfromcretaceousreservoirinbaihassanoilfield AT ghanimfarman advancedgeostatisticaltechniquesforbuilding3dgeologicalmodelingacasestudyfromcretaceousreservoirinbaihassanoilfield |