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Estimation of Pore Volume Compressibility in Carbonate Reservoir Rocks Based on a Classification
https://orcid.org/0000-0003-4196-0158
Abstract This study examined the petrographically classification, petrological and petrophysical characteristics by taking a vast range of carbonate reservoir rock from Asmari and Bangestan group Formations in southern Iran basins. Implications of these characteristics were also studied to estimate the pore volume compressibility of the carbonate reservoirs. In the current study, a method is developed to classify the carbonate reservoir rocks based on the dominant factors involved in elastic properties of pore volumes. For classification, several 3702 thin sections were studied. Then, the pore volume compressibility of 200 core plugs corresponding to the range of classification parameters was obtained and quantified by a pre-proven equation. Based on the studied classification, the results clearly show an acceptable narrow bandwidth between the upper and lower bound of estimations. Furthermore, the analysis of the pore compressibility–stress relationship was in good agreement with the experimental observations. Also, the study shows that integrating the routine petrophysical properties is helpful for the estimation of stress-related properties of pore volumes into carbonate reservoir rocks.
Estimation of Pore Volume Compressibility in Carbonate Reservoir Rocks Based on a Classification
https://orcid.org/0000-0003-4196-0158
Abstract This study examined the petrographically classification, petrological and petrophysical characteristics by taking a vast range of carbonate reservoir rock from Asmari and Bangestan group Formations in southern Iran basins. Implications of these characteristics were also studied to estimate the pore volume compressibility of the carbonate reservoirs. In the current study, a method is developed to classify the carbonate reservoir rocks based on the dominant factors involved in elastic properties of pore volumes. For classification, several 3702 thin sections were studied. Then, the pore volume compressibility of 200 core plugs corresponding to the range of classification parameters was obtained and quantified by a pre-proven equation. Based on the studied classification, the results clearly show an acceptable narrow bandwidth between the upper and lower bound of estimations. Furthermore, the analysis of the pore compressibility–stress relationship was in good agreement with the experimental observations. Also, the study shows that integrating the routine petrophysical properties is helpful for the estimation of stress-related properties of pore volumes into carbonate reservoir rocks.
Estimation of Pore Volume Compressibility in Carbonate Reservoir Rocks Based on a Classification
https://orcid.org/0000-0003-4196-0158
Abstract This study examined the petrographically classification, petrological and petrophysical characteristics by taking a vast range of carbonate reservoir rock from Asmari and Bangestan group Formations in southern Iran basins. Implications of these characteristics were also studied to estimate the pore volume compressibility of the carbonate reservoirs. In the current study, a method is developed to classify the carbonate reservoir rocks based on the dominant factors involved in elastic properties of pore volumes. For classification, several 3702 thin sections were studied. Then, the pore volume compressibility of 200 core plugs corresponding to the range of classification parameters was obtained and quantified by a pre-proven equation. Based on the studied classification, the results clearly show an acceptable narrow bandwidth between the upper and lower bound of estimations. Furthermore, the analysis of the pore compressibility–stress relationship was in good agreement with the experimental observations. Also, the study shows that integrating the routine petrophysical properties is helpful for the estimation of stress-related properties of pore volumes into carbonate reservoir rocks.
Estimation of Pore Volume Compressibility in Carbonate Reservoir Rocks Based on a Classification
Moosavi, Seyed Amin (author) / Bakhtiari, Hesam Aloki (author) / Honarmand, Javad (author)
2022
Article (Journal)
Electronic Resource
English
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
| British Library Online Contents | 2015
Compressibility and Pore Pressure Parameters
| Wiley | 2012