Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods
Abstract Reservoir heterogeneity has a major effect on the characterization of reservoir properties and consequently reservoir forecast. In reality, heterogeneity is observed in a wide range of scales from microns to kilometers. A reasonable approach to study this multi-scale variations is through f...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-05-01
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| Series: | Journal of Petroleum Exploration and Production Technology |
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| Online Access: | http://link.springer.com/article/10.1007/s13202-017-0358-7 |
| _version_ | 1797998396400730112 |
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| author | Rezvan Rahimi Mahmoud Bagheri Mohsen Masihi |
| author_facet | Rezvan Rahimi Mahmoud Bagheri Mohsen Masihi |
| author_sort | Rezvan Rahimi |
| collection | DOAJ |
| description | Abstract Reservoir heterogeneity has a major effect on the characterization of reservoir properties and consequently reservoir forecast. In reality, heterogeneity is observed in a wide range of scales from microns to kilometers. A reasonable approach to study this multi-scale variations is through fractals. Fractal statistics provide a simple way of relating variations on larger scales to those on smaller scales and vice versa. Simple statistical fractal models (fBm and fGn) can be useful to understand the model construction and help the reservoir structure characterization. In this paper, the fractal methods (fGn and fBm) have been applied to characterize and to estimate of reservoir properties. Three methods, namely box-counting, variogram, and R/S analysis, were carried out on log and core data for porosity and permeability data to estimate fractal dimension; a high fractal dimension estimated in this study reveals a high heterogeneity in the reservoir. Moreover, sampling from simulated fractal data at non-existing data depths enables us to generate appropriate realizations of reservoir permeability with suitable accuracy at a proper computational time. |
| first_indexed | 2024-04-11T10:48:07Z |
| format | Article |
| id | doaj.art-cf0b1ea9f24e4b3f87fed203cea13e84 |
| institution | Directory Open Access Journal |
| issn | 2190-0558 2190-0566 |
| language | English |
| last_indexed | 2024-04-11T10:48:07Z |
| publishDate | 2017-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Petroleum Exploration and Production Technology |
| spelling | doaj.art-cf0b1ea9f24e4b3f87fed203cea13e842022-12-22T04:28:59ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662017-05-0181314110.1007/s13202-017-0358-7Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methodsRezvan Rahimi0Mahmoud Bagheri1Mohsen Masihi2Department of Petroleum Engineering, Science and Research Branch, Islamic Azad UniversityDepartment of Petroleum Engineering, Science and Research Branch, Islamic Azad UniversityDepartment of Chemical and Petroleum Engineering, Sharif University of TechnologyAbstract Reservoir heterogeneity has a major effect on the characterization of reservoir properties and consequently reservoir forecast. In reality, heterogeneity is observed in a wide range of scales from microns to kilometers. A reasonable approach to study this multi-scale variations is through fractals. Fractal statistics provide a simple way of relating variations on larger scales to those on smaller scales and vice versa. Simple statistical fractal models (fBm and fGn) can be useful to understand the model construction and help the reservoir structure characterization. In this paper, the fractal methods (fGn and fBm) have been applied to characterize and to estimate of reservoir properties. Three methods, namely box-counting, variogram, and R/S analysis, were carried out on log and core data for porosity and permeability data to estimate fractal dimension; a high fractal dimension estimated in this study reveals a high heterogeneity in the reservoir. Moreover, sampling from simulated fractal data at non-existing data depths enables us to generate appropriate realizations of reservoir permeability with suitable accuracy at a proper computational time.http://link.springer.com/article/10.1007/s13202-017-0358-7PorosityPermeabilityFractal geometryfGnfBm |
| spellingShingle | Rezvan Rahimi Mahmoud Bagheri Mohsen Masihi Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods Journal of Petroleum Exploration and Production Technology Porosity Permeability Fractal geometry fGn fBm |
| title | Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods |
| title_full | Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods |
| title_fullStr | Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods |
| title_full_unstemmed | Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods |
| title_short | Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods |
| title_sort | characterization and estimation of reservoir properties in a carbonate reservoir in southern iran by fractal methods |
| topic | Porosity Permeability Fractal geometry fGn fBm |
| url | http://link.springer.com/article/10.1007/s13202-017-0358-7 |
| work_keys_str_mv | AT rezvanrahimi characterizationandestimationofreservoirpropertiesinacarbonatereservoirinsoutherniranbyfractalmethods AT mahmoudbagheri characterizationandestimationofreservoirpropertiesinacarbonatereservoirinsoutherniranbyfractalmethods AT mohsenmasihi characterizationandestimationofreservoirpropertiesinacarbonatereservoirinsoutherniranbyfractalmethods |