Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks
Complex pore structures with multiple inclusions challenge the predictive accuracy of rock physics models. This study introduces a novel method for estimating a single equivalent pore aspect ratio that optimizes rock physics model predictions by minimizing discrepancies with experimental measurement...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/15/2/67 |
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| author | Luiz Eduardo Queiroz Dario Grana Celso Peres Fernandes Tapan Mukerji Leandro Passos de Figueiredo Iara Frangiotti Mantovani |
| author_facet | Luiz Eduardo Queiroz Dario Grana Celso Peres Fernandes Tapan Mukerji Leandro Passos de Figueiredo Iara Frangiotti Mantovani |
| author_sort | Luiz Eduardo Queiroz |
| collection | DOAJ |
| description | Complex pore structures with multiple inclusions challenge the predictive accuracy of rock physics models. This study introduces a novel method for estimating a single equivalent pore aspect ratio that optimizes rock physics model predictions by minimizing discrepancies with experimental measurements in porous rocks with multiple inclusions with variable aspect ratios and proportions. The proposed methodology uses digital rock physics numerical simulations for validation. A comparative analysis is conducted between the equivalent aspect ratio derived from optimized rock physics models, numerical simulations, and the aspect ratio distribution estimated from digital rock samples. The approach is tested on both synthetic and real core samples, demonstrating its robustness and applicability to field data, including core samples and well log data. The validation results confirm that the method enhances predictive accuracy and offers a versatile framework for addressing pore complexity in subsurface rock formations. |
| format | Article |
| id | doaj-art-72edb50d30e34e09a04fadba7326ebff |
| institution | DOAJ |
| issn | 2076-3263 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj-art-72edb50d30e34e09a04fadba7326ebff2025-08-20T03:12:14ZengMDPI AGGeosciences2076-32632025-02-011526710.3390/geosciences15020067Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital RocksLuiz Eduardo Queiroz0Dario Grana1Celso Peres Fernandes2Tapan Mukerji3Leandro Passos de Figueiredo4Iara Frangiotti Mantovani5Petrobras, Rio de Janeiro 20231-030, RJ, BrazilDepartment of Geology and Geophysics, University of Wyoming, Laramie, WY 82071-2000, USADepartment of Mechanical Engineering, Federal University of Santa Catarina, Florianópolis 88035-972, SC, BrazilStanford University, Stanford, CA 94305, USALTrace, Florianópolis 88034-480, SC, BrazilDepartment of Mechanical Engineering, Federal University of Santa Catarina, Florianópolis 88035-972, SC, BrazilComplex pore structures with multiple inclusions challenge the predictive accuracy of rock physics models. This study introduces a novel method for estimating a single equivalent pore aspect ratio that optimizes rock physics model predictions by minimizing discrepancies with experimental measurements in porous rocks with multiple inclusions with variable aspect ratios and proportions. The proposed methodology uses digital rock physics numerical simulations for validation. A comparative analysis is conducted between the equivalent aspect ratio derived from optimized rock physics models, numerical simulations, and the aspect ratio distribution estimated from digital rock samples. The approach is tested on both synthetic and real core samples, demonstrating its robustness and applicability to field data, including core samples and well log data. The validation results confirm that the method enhances predictive accuracy and offers a versatile framework for addressing pore complexity in subsurface rock formations.https://www.mdpi.com/2076-3263/15/2/67rock physicsdigital rock physicsreservoir geophysicscarbonate rocks |
| spellingShingle | Luiz Eduardo Queiroz Dario Grana Celso Peres Fernandes Tapan Mukerji Leandro Passos de Figueiredo Iara Frangiotti Mantovani Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks Geosciences rock physics digital rock physics reservoir geophysics carbonate rocks |
| title | Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks |
| title_full | Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks |
| title_fullStr | Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks |
| title_full_unstemmed | Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks |
| title_short | Estimation of Equivalent Pore Aspect Ratio in Rock Physics Models and Validation Using Digital Rocks |
| title_sort | estimation of equivalent pore aspect ratio in rock physics models and validation using digital rocks |
| topic | rock physics digital rock physics reservoir geophysics carbonate rocks |
| url | https://www.mdpi.com/2076-3263/15/2/67 |
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