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 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
复制标题
非海相砂岩油藏地质统计三维模型流动单元分类——以高集油田古新统阜宁组为例
DOI:
10.1515/geo-2018-0009
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发表时间:
2018-05
期刊:
影响因子:
2
通讯作者:
Wu Yingli
中科院分区:
文献类型:
--
作者:
Zhang Penghui;Zhang Jinliang;Wang Jinkai;Li Ming;Liang Jie;Wu Yingli
Abstract 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.
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DOI:
10.1631/jzus.a1200165
发表时间:
2013-02
期刊:
Journal of Zhejiang University-Science A(Applied Physics & Engineering)
影响因子:
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作者:
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影响因子:
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1996-12-01
期刊:
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影响因子:
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DOI:
10.1007/978-3-642-12541-6_9
发表时间:
2011-01-01
期刊:
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影响因子:
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作者:
Mooi, Erik;Sarstedt, Marko
通讯作者:
Sarstedt, Marko