Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China
Flow units classification can be used in reservoir characterization. In addition, characterizing the reservoir interval into flow units is an effective way to simulate the reservoir. Paraflow units (PFUs), the second level of flow units, are used to estimate the spatial distribution of continental c...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2018-05-01
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| Series: | Open Geosciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/geo-2018-0009 |
| _version_ | 1818587148095324160 |
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| author | Zhang Penghui Zhang Jinliang Wang Jinkai Li Ming Liang Jie Wu Yingli |
| author_facet | Zhang Penghui Zhang Jinliang Wang Jinkai Li Ming Liang Jie Wu Yingli |
| author_sort | Zhang Penghui |
| collection | DOAJ |
| description | Flow units classification can be used in reservoir characterization. In addition, characterizing the reservoir interval into flow units is an effective way to simulate the reservoir. Paraflow units (PFUs), the second level of flow units, are used to estimate the spatial distribution of continental clastic reservoirs at the detailed reservoir description stage. In this study, we investigate a nonroutine methodology to predict the external and internal distribution of PFUs. The methodology outlined enables the classification of PFUs using sandstone core samples and log data. The relationships obtained between porosity, permeability and pore throat aperture radii (r35) values were established for core and log data obtained from 26 wells from the Funing Formation, Gaoji Oilfield, Subei Basin, China. The present study refines predicted PFUs at logged (0.125-m) intervals, whose scale is much smaller than routine methods. Meanwhile, three-dimensional models are built using sequential indicator simulation to characterize PFUs in wells. Four distinct PFUs are classified and located based on the statistical methodology of cluster analysis, and each PFU has different seepage ability. The results of this study demonstrate the obtained models are able to quantify reservoir heterogeneity. Due to different petrophysical characteristics and seepage ability, PFUs have a significant impact on the distribution of the remaining oil. Considering these allows a more accurate understanding of reservoir quality, especially within non-marine sandstone reservoirs. |
| first_indexed | 2024-12-16T09:04:15Z |
| format | Article |
| id | doaj.art-f16c16d3c85f4003afedd971db69d5e0 |
| institution | Directory Open Access Journal |
| issn | 2391-5447 |
| language | English |
| last_indexed | 2024-12-16T09:04:15Z |
| publishDate | 2018-05-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Geosciences |
| spelling | doaj.art-f16c16d3c85f4003afedd971db69d5e02022-12-21T22:37:07ZengDe GruyterOpen Geosciences2391-54472018-05-0110111312010.1515/geo-2018-0009geo-2018-0009Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east ChinaZhang Penghui0Zhang Jinliang1Wang Jinkai2Li Ming3Liang Jie4Wu Yingli5College of Oceanography, Hohai University, Nanjing210098, ChinaCollege of Resources Science & Technology, Beijing Normal University, Beijing100875, ChinaCollege of Geological Science and Engineering, Shandong University of Science and Technology, Qingdao266590, ChinaHenan Oilfield Research Institute, SINOPEC, Zhengzhou450018, ChinaQingdao Institute of Marine Geology, China Geological Survey, Qingdao266071, ChinaWuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi214151, ChinaFlow units classification can be used in reservoir characterization. In addition, characterizing the reservoir interval into flow units is an effective way to simulate the reservoir. Paraflow units (PFUs), the second level of flow units, are used to estimate the spatial distribution of continental clastic reservoirs at the detailed reservoir description stage. In this study, we investigate a nonroutine methodology to predict the external and internal distribution of PFUs. The methodology outlined enables the classification of PFUs using sandstone core samples and log data. The relationships obtained between porosity, permeability and pore throat aperture radii (r35) values were established for core and log data obtained from 26 wells from the Funing Formation, Gaoji Oilfield, Subei Basin, China. The present study refines predicted PFUs at logged (0.125-m) intervals, whose scale is much smaller than routine methods. Meanwhile, three-dimensional models are built using sequential indicator simulation to characterize PFUs in wells. Four distinct PFUs are classified and located based on the statistical methodology of cluster analysis, and each PFU has different seepage ability. The results of this study demonstrate the obtained models are able to quantify reservoir heterogeneity. Due to different petrophysical characteristics and seepage ability, PFUs have a significant impact on the distribution of the remaining oil. Considering these allows a more accurate understanding of reservoir quality, especially within non-marine sandstone reservoirs.https://doi.org/10.1515/geo-2018-0009flow unitsparaflow unitsclassificationmodelingnon-marine sandstone reservoirfuning formationpaleocene |
| spellingShingle | Zhang Penghui Zhang Jinliang Wang Jinkai Li Ming Liang Jie Wu Yingli Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China Open Geosciences flow units paraflow units classification modeling non-marine sandstone reservoir funing formation paleocene |
| title | Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China |
| title_full | Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China |
| title_fullStr | Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China |
| title_full_unstemmed | Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China |
| title_short | Flow units classification for geostatisitical three-dimensional modeling of a non-marine sandstone reservoir: A case study from the Paleocene Funing Formation of the Gaoji Oilfield, east China |
| title_sort | flow units classification for geostatisitical three dimensional modeling of a non marine sandstone reservoir a case study from the paleocene funing formation of the gaoji oilfield east china |
| topic | flow units paraflow units classification modeling non-marine sandstone reservoir funing formation paleocene |
| url | https://doi.org/10.1515/geo-2018-0009 |
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