Integrated petrographical and petrophysical studies of sandstones from the Araba Formation for reservoir characterization
| العنوان: | Integrated petrographical and petrophysical studies of sandstones from the Araba Formation for reservoir characterization |
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| المؤلفون: | Mohamed Kassab, Andreas Weller, Hesham Abuseda |
| المصدر: | Arabian Journal of Geosciences. 15 |
| بيانات النشر: | Springer Science and Business Media LLC, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | General Earth and Planetary Sciences, General Environmental Science |
| الوصف: | The present study aims at an integration of both petrographic and petrophysical data of 45 sandstone samples collected from Araba Formation (Lower Paleozoic) for reservoir characterization. The studied Araba Formation is classified into three types of facies: (i) quartz arenite, (ii) sublithic quartz arenite, and (iii) calcareous quartz arenite. The mineralogical composition of the studied sandstone samples includes mainly quartz and detrital clays, some pyrite, and iron oxides as cement. The petrographic investigation of the studied Araba Formation reveals various diagenetic processes including compaction and pressure solution, cementation with iron oxides, carbonates, or clays. The porosity values for investigated samples range from 14.5 to 27.8% and permeability values from 2.4 mD to 8.4 D, the surface area per unit pore volume (Spor) from 0.011 to 17 µm−1, the formation factor from 6 to 13, and the dimensionless volumetric magnetic susceptibility from 13 10−6 to 126 10−6. The samples of facies (i) and (ii) are characterized by higher values of porosity and permeability. The samples of facies (iii) indicate increasing permeability with rising porosity. The relationship between permeability and formation factor reflects the effect of porosity changes. The specific surface Spor shows an inverse relationship to permeability. The petrophysical investigations provide relationships between permeability and other reservoir parameters such as porosity, formation factor, specific surface, and longitudinal and transverse relaxation time resulting from nuclear magnetic resonance (NMR) relaxometry. The permeability prediction model based on NMR data proves to be applicable for samples from facies (i) and (ii), whereas the predictive quality is considerably lower for facies (iii). |
| تدمد: | 1866-7538 1866-7511 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::a55c014a5d7f56d247ab20a623ec3081Test https://doi.org/10.1007/s12517-022-10221-3Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi...........a55c014a5d7f56d247ab20a623ec3081 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18667538 18667511 |
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