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
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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
流动单元划分可用于储层描述。此外，将储层段表征为流动单元是模拟储层的有效方法。在储层精细描述阶段，利用流动单元的第二层，即流动单元（PFU）来估计陆相碎屑岩储层的空间分布。在这项研究中，我们调查了一个非常规的方法来预测外部和内部分布的PFU。所概述的方法能够使用砂岩岩心样本和测井数据对PFU进行分类。根据苏北盆地高集油田阜宁组26口威尔斯井的岩心和测井资料，建立了孔隙度、渗透率与孔喉孔径半径（r35）之间的关系。本研究细化预测PFU在记录（0.125米）的间隔，其规模比常规方法小得多。同时，利用序贯指示模拟方法建立了表征威尔斯井中PFU的三维模型。基于聚类分析的统计方法，对四个不同的PFU进行了分类和定位，每个PFU具有不同的渗流能力。研究结果表明，所建立的模型能够定量描述储层非均质性。由于储层物性和渗流能力的不同，PFU对剩余油的分布有很大的影响。考虑这些因素可以更准确地了解储层质量，特别是在非海相砂岩储层中。
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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影响因子：
56.9
作者：
K. Vehkalahti;B. Everitt
通讯作者：
K. Vehkalahti;B. Everitt
苏北盆地阜宁组注水区识别及注水对储层物性的影响
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：
--
作者：
Li, Jing-zhe;Ding, Fang;Wang, Jin-kai;Dong, Zi-rui
通讯作者：
Dong, Zi-rui
DOI：
10.2118/30158-pa
发表时间：
1996-12-01
期刊：
SPE FORMATION EVALUATION
影响因子：
--
作者：
Abbaszadeh, M;Fujii, H;Fujimoto, F
通讯作者：
Fujimoto, F
DOI：
10.4135/9781412983648
发表时间：
1984
期刊：
--
影响因子：
--
作者：
M. Aldenderfer
通讯作者：
M. Aldenderfer
DOI：
10.1007/978-3-642-12541-6_9
发表时间：
2011-01-01
期刊：
CONCISE GUIDE TO MARKET RESEARCH: THE PROCESS, DATA, AND METHODS USING IBM SPSS STATISTICS
影响因子：
--
作者：
Mooi, Erik;Sarstedt, Marko
通讯作者：
Sarstedt, Marko