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

Author:

Zhang Penghui123,Zhang Jinliang4,Wang Jinkai5,Li Ming6,Liang Jie3,Wu Yingli7

Affiliation:

1. College of Oceanography, Hohai University, Nanjing210098, China

2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Chengdu University of Technology), Chengdu610059, China

3. Qingdao Institute of Marine Geology, China Geological Survey, Qingdao266071, China

4. College of Resources Science & Technology, Beijing Normal University, Beijing100875, China

5. College of Geological Science and Engineering, Shandong University of Science and Technology, Qingdao266590, China

6. Henan Oilfield Research Institute, SINOPEC, Zhengzhou450018, China

7. Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi214151, China

Abstract

AbstractFlow 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.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

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