Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction
Future gas field development and prospect assessment depend on accurate reservoir parameter characterization. The understanding of the tight sand distribution of the Shanxi and Taiyuan Formations within the Hangjinqi area is ambiguous due to the presence of coal and mudstone lithofacies, high hetero...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1018105/full |
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| author | Aqsa Anees Hucai Zhang Umar Ashraf Ren Wang Ren Wang Hung Vo Thanh Ahmed E. Radwan Jar Ullah Ghazanfer Raza Abbasi Ibrar Iqbal Nafees Ali Nafees Ali Xiaonan Zhang Shucheng Tan Wanzhong Shi Wanzhong Shi |
| author_facet | Aqsa Anees Hucai Zhang Umar Ashraf Ren Wang Ren Wang Hung Vo Thanh Ahmed E. Radwan Jar Ullah Ghazanfer Raza Abbasi Ibrar Iqbal Nafees Ali Nafees Ali Xiaonan Zhang Shucheng Tan Wanzhong Shi Wanzhong Shi |
| author_sort | Aqsa Anees |
| collection | DOAJ |
| description | Future gas field development and prospect assessment depend on accurate reservoir parameter characterization. The understanding of the tight sand distribution of the Shanxi and Taiyuan Formations within the Hangjinqi area is ambiguous due to the presence of coal and mudstone lithofacies, high heterogeneity, and poor resolution of the seismic data. Thus, it is difficult to determine the reservoir’s thickness. To cope with this challenge, we have employed the advanced method of constrained sparse spike inversion (CSSI) utilizing 3D seismic and nine wells for the distinction of tight sandstone facies from the coal and mudstone facies. Results of petrophysical analysis of studied well J54 show that the coal and mudstone facies are dominant towards the T9c horizon, whereas tight sandstone facies are present towards the T9d horizon. The obtained findings show that the CSSI accurately identified the spatial distribution of sand-ratio in the zone of interest (ZOI) that lies between the T9c and T9d horizons. The acoustic impedance (AI) of coal shows the lowest AI values, whereas the tight sandstone shows the highest AI values. The tight sandstone facies shows moderate values of AI in the range of 8.5 × 106 kg/m2s to 1.20 × 107 kg/m2s. The impedance map of T9c suggested the presence of coal and mud facies, whereas the T9d impedance map suggest the presence of maximum tight sandstone facies. The sand-ratio map of T9d showed maximum reservoir thickness that ranges from 0.65-0-95, whereas the sand-ratio value mostly ranges from 0 to 0.5 on the T9c map. The maximum sand-ratio values on T9d show that the lower Shanxi Formation has good reservoir characteristics. Whereas, due to the presence of coal and mudstone in the Taiyuan Formation, the T9c map shows low values of sand-ratio. The maximum sand-ratio regions within the targeted T9c-T9d layers should be exploited for future gas explorations. |
| first_indexed | 2024-04-12T03:14:16Z |
| format | Article |
| id | doaj.art-5e5e4563fce94af2bd1c474b7e648cf0 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-12T03:14:16Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-5e5e4563fce94af2bd1c474b7e648cf02022-12-22T03:50:14ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-09-011010.3389/feart.2022.10181051018105Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality predictionAqsa Anees0Hucai Zhang1Umar Ashraf2Ren Wang3Ren Wang4Hung Vo Thanh5Ahmed E. Radwan6Jar Ullah7Ghazanfer Raza Abbasi8Ibrar Iqbal9Nafees Ali10Nafees Ali11Xiaonan Zhang12Shucheng Tan13Wanzhong Shi14Wanzhong Shi15Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, ChinaSchool of Earth Resources, China University of Geosciences, Wuhan, ChinaKey Laboratory of Tectonics and Petroleum Resources, Ministry of Education, China University of Geosciences, Wuhan, ChinaSchool of Earth and Environmental Sciences, Seoul National University, Seoul, South KoreaFaculty of Geography and Geology, Institute of Geological Sciences, Jagiellonian University, Kraków, PolandInstitute of Geophysics and Geomatics, China University of Geosciences, Wuhan, ChinaPhysical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaSchool of Earth Sciences, Zhejiang University, Hangzhou, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, China0University of Chinese Academy of Sciences, Beijing, ChinaInstitute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming, China1School of Resource Environment and Earth Science, Yunnan University, Kunming, ChinaSchool of Earth Resources, China University of Geosciences, Wuhan, ChinaKey Laboratory of Tectonics and Petroleum Resources, Ministry of Education, China University of Geosciences, Wuhan, ChinaFuture gas field development and prospect assessment depend on accurate reservoir parameter characterization. The understanding of the tight sand distribution of the Shanxi and Taiyuan Formations within the Hangjinqi area is ambiguous due to the presence of coal and mudstone lithofacies, high heterogeneity, and poor resolution of the seismic data. Thus, it is difficult to determine the reservoir’s thickness. To cope with this challenge, we have employed the advanced method of constrained sparse spike inversion (CSSI) utilizing 3D seismic and nine wells for the distinction of tight sandstone facies from the coal and mudstone facies. Results of petrophysical analysis of studied well J54 show that the coal and mudstone facies are dominant towards the T9c horizon, whereas tight sandstone facies are present towards the T9d horizon. The obtained findings show that the CSSI accurately identified the spatial distribution of sand-ratio in the zone of interest (ZOI) that lies between the T9c and T9d horizons. The acoustic impedance (AI) of coal shows the lowest AI values, whereas the tight sandstone shows the highest AI values. The tight sandstone facies shows moderate values of AI in the range of 8.5 × 106 kg/m2s to 1.20 × 107 kg/m2s. The impedance map of T9c suggested the presence of coal and mud facies, whereas the T9d impedance map suggest the presence of maximum tight sandstone facies. The sand-ratio map of T9d showed maximum reservoir thickness that ranges from 0.65-0-95, whereas the sand-ratio value mostly ranges from 0 to 0.5 on the T9c map. The maximum sand-ratio values on T9d show that the lower Shanxi Formation has good reservoir characteristics. Whereas, due to the presence of coal and mudstone in the Taiyuan Formation, the T9c map shows low values of sand-ratio. The maximum sand-ratio regions within the targeted T9c-T9d layers should be exploited for future gas explorations.https://www.frontiersin.org/articles/10.3389/feart.2022.1018105/fullacoustic impedance inversionsand-ratioshanxi and taiyuan formationstight sandstonereservoir characterizationHangjinqi area |
| spellingShingle | Aqsa Anees Hucai Zhang Umar Ashraf Ren Wang Ren Wang Hung Vo Thanh Ahmed E. Radwan Jar Ullah Ghazanfer Raza Abbasi Ibrar Iqbal Nafees Ali Nafees Ali Xiaonan Zhang Shucheng Tan Wanzhong Shi Wanzhong Shi Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction Frontiers in Earth Science acoustic impedance inversion sand-ratio shanxi and taiyuan formations tight sandstone reservoir characterization Hangjinqi area |
| title | Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction |
| title_full | Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction |
| title_fullStr | Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction |
| title_full_unstemmed | Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction |
| title_short | Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction |
| title_sort | sand ratio distribution in an unconventional tight sandstone reservoir of hangjinqi area ordos basin acoustic impedance inversion based reservoir quality prediction |
| topic | acoustic impedance inversion sand-ratio shanxi and taiyuan formations tight sandstone reservoir characterization Hangjinqi area |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.1018105/full |
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