A practical approach to derive heterogeneity index using an integrated petrophysical data analysis
Abstract This study aims to quantify and evaluate various indicators of heterogeneity within the Sarvak reservoir of an Iranian oilfield located in the Dezful embayment (Zagros Basin). The study examined the relationship between the conventional heterogeneity indices and several parameters including...
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Nature Portfolio
2025-03-01
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| Online Access: | https://doi.org/10.1038/s41598-025-91468-0 |
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| author | Vali Mehdipour Ahmad Reza Rabbani Ali Kadkhodaie |
| author_facet | Vali Mehdipour Ahmad Reza Rabbani Ali Kadkhodaie |
| author_sort | Vali Mehdipour |
| collection | DOAJ |
| description | Abstract This study aims to quantify and evaluate various indicators of heterogeneity within the Sarvak reservoir of an Iranian oilfield located in the Dezful embayment (Zagros Basin). The study examined the relationship between the conventional heterogeneity indices and several parameters including residual oil (S_or), the reservoir quality index (RQI), the synthetic velocity deviation log (VDL), as well as the skewness of porosity and permeability, variography and the sorting index derived from the Fullbore Formation Micro Imager (FMI) log. This study demonstrated that the skewness of porosity and permeability can be considered significant indicators of heterogeneity. Furthermore, it was observed that an increase in the range of variography correlates with a rise in the coefficient of variation (CV) of porosity. The findings indicate that VDL and S_or exhibit an inverse relationship with the CV of porosity. Additionally, the sorting index derived from the FMI log serves as an effective indicator of reservoir heterogeneity as it exhibits a high correlation coefficient with the CV of porosity. This study concludes that the introduced indices can effectively characterize the reservoir heterogeneity in the absence of the core data only using the petrophysical logs. Therefore, this study introduces novel indicators to quantify and evaluate heterogeneity in this reservoir, demonstrating that some alternative parameters such as skewness of porosity and permeability, effectively characterize reservoir heterogeneity without using core data. |
| format | Article |
| id | doaj-art-be5b0896bc254706b87d0a46f64bee08 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-be5b0896bc254706b87d0a46f64bee082025-08-20T02:59:22ZengNature PortfolioScientific Reports2045-23222025-03-0115112110.1038/s41598-025-91468-0A practical approach to derive heterogeneity index using an integrated petrophysical data analysisVali Mehdipour0Ahmad Reza Rabbani1Ali Kadkhodaie2Department of Petroleum Engineering, Amirkabir University of TechnologyDepartment of Petroleum Engineering, Amirkabir University of TechnologyEarth Sciences Department, Faculty of Natural Science, University of TabrizAbstract This study aims to quantify and evaluate various indicators of heterogeneity within the Sarvak reservoir of an Iranian oilfield located in the Dezful embayment (Zagros Basin). The study examined the relationship between the conventional heterogeneity indices and several parameters including residual oil (S_or), the reservoir quality index (RQI), the synthetic velocity deviation log (VDL), as well as the skewness of porosity and permeability, variography and the sorting index derived from the Fullbore Formation Micro Imager (FMI) log. This study demonstrated that the skewness of porosity and permeability can be considered significant indicators of heterogeneity. Furthermore, it was observed that an increase in the range of variography correlates with a rise in the coefficient of variation (CV) of porosity. The findings indicate that VDL and S_or exhibit an inverse relationship with the CV of porosity. Additionally, the sorting index derived from the FMI log serves as an effective indicator of reservoir heterogeneity as it exhibits a high correlation coefficient with the CV of porosity. This study concludes that the introduced indices can effectively characterize the reservoir heterogeneity in the absence of the core data only using the petrophysical logs. Therefore, this study introduces novel indicators to quantify and evaluate heterogeneity in this reservoir, demonstrating that some alternative parameters such as skewness of porosity and permeability, effectively characterize reservoir heterogeneity without using core data.https://doi.org/10.1038/s41598-025-91468-0HeterogeneitySarvak reservoirLorenzCoefficient of variationDykstra–ParsonsSkewness |
| spellingShingle | Vali Mehdipour Ahmad Reza Rabbani Ali Kadkhodaie A practical approach to derive heterogeneity index using an integrated petrophysical data analysis Scientific Reports Heterogeneity Sarvak reservoir Lorenz Coefficient of variation Dykstra–Parsons Skewness |
| title | A practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| title_full | A practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| title_fullStr | A practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| title_full_unstemmed | A practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| title_short | A practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| title_sort | practical approach to derive heterogeneity index using an integrated petrophysical data analysis |
| topic | Heterogeneity Sarvak reservoir Lorenz Coefficient of variation Dykstra–Parsons Skewness |
| url | https://doi.org/10.1038/s41598-025-91468-0 |
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