A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs
Accurate calculation of the permeability of tight sandstone gas reservoirs has been a challenge, due to the enhanced effect of pore structure. Reservoir permeability with the same porosity and different pore structure often varies greatly. The permeability estimated by the traditional core sample re...
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| Format: | Article |
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MDPI AG
2019-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/15/2859 |
| _version_ | 1828368372280066048 |
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| author | Liang Liu Heping Pan Chengxiang Deng Guoshu Huang |
| author_facet | Liang Liu Heping Pan Chengxiang Deng Guoshu Huang |
| author_sort | Liang Liu |
| collection | DOAJ |
| description | Accurate calculation of the permeability of tight sandstone gas reservoirs has been a challenge, due to the enhanced effect of pore structure. Reservoir permeability with the same porosity and different pore structure often varies greatly. The permeability estimated by the traditional core sample regression analysis method has low accuracy, and the nuclear magnetic resonance (NMR) logging method is affected by the hydrocarbon of the reservoir. In this paper, the defined parameter can effectively quantify the difference of pore structure. Based on regression analysis of core measurement data, the model with optimal factor parameters of permeability calculation is established. This method combines the advantages of empirical models and pore structure models in calculating permeability. The results show that the method can effectively improve the accuracy of permeability. It has been successfully applied to the tight sandstone gas reservoir of He3 member in Hangjinqi area, Ordos Basin, China. Compared with other permeability theoretical models, it provides a more accurate and practical method for calculating permeability. |
| first_indexed | 2024-04-14T06:10:14Z |
| format | Article |
| id | doaj.art-4179b36cce8249c29e742e1ef0adc9b7 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T06:10:14Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4179b36cce8249c29e742e1ef0adc9b72022-12-22T02:08:23ZengMDPI AGEnergies1996-10732019-07-011215285910.3390/en12152859en12152859A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR LogsLiang Liu0Heping Pan1Chengxiang Deng2Guoshu Huang3Hubei Subsurface Multi-Scale Imaging Key Lab, Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, ChinaHubei Subsurface Multi-Scale Imaging Key Lab, Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, ChinaHubei Subsurface Multi-Scale Imaging Key Lab, Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, ChinaHubei Subsurface Multi-Scale Imaging Key Lab, Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, ChinaAccurate calculation of the permeability of tight sandstone gas reservoirs has been a challenge, due to the enhanced effect of pore structure. Reservoir permeability with the same porosity and different pore structure often varies greatly. The permeability estimated by the traditional core sample regression analysis method has low accuracy, and the nuclear magnetic resonance (NMR) logging method is affected by the hydrocarbon of the reservoir. In this paper, the defined parameter can effectively quantify the difference of pore structure. Based on regression analysis of core measurement data, the model with optimal factor parameters of permeability calculation is established. This method combines the advantages of empirical models and pore structure models in calculating permeability. The results show that the method can effectively improve the accuracy of permeability. It has been successfully applied to the tight sandstone gas reservoir of He3 member in Hangjinqi area, Ordos Basin, China. Compared with other permeability theoretical models, it provides a more accurate and practical method for calculating permeability.https://www.mdpi.com/1996-1073/12/15/2859permeabilitypore structureoptimal parametertight sandstone gas reservoirs |
| spellingShingle | Liang Liu Heping Pan Chengxiang Deng Guoshu Huang A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs Energies permeability pore structure optimal parameter tight sandstone gas reservoirs |
| title | A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs |
| title_full | A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs |
| title_fullStr | A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs |
| title_full_unstemmed | A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs |
| title_short | A Method for Improving Permeability Accuracy of Tight Sandstone Gas Reservoirs Based on Core Data and NMR Logs |
| title_sort | method for improving permeability accuracy of tight sandstone gas reservoirs based on core data and nmr logs |
| topic | permeability pore structure optimal parameter tight sandstone gas reservoirs |
| url | https://www.mdpi.com/1996-1073/12/15/2859 |
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