A novel digital extraction approach of pore network models from carbonates inspired by quantum genetic optimization techniques-Reference-Cited by-同舟云学术

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A novel digital extraction approach of pore network models from carbonates inspired by quantum genetic optimization techniques

Published:2024-04-02 Issue:6 Volume:19 Page:3805-3820
ISSN:1861-1125
Container-title:Acta Geotechnica
language:en
Short-container-title:Acta Geotech.

Author:

Zhao Zhi,Shou Yun-Dong,Zhou Xiao-Ping

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Open Foundation of the Key Laboratory of Universities in Anhui Province for Prevention of Mine Geological Disasters

ational Center for International Research on Deep Earth Drilling and Resource Development

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11440-024-02310-2.pdf

Reference52 articles.

1. Al-Kharusi A, Blunt MJ (2007) Network extraction from sandstone and carbonate pore space images. J Pet Sci Eng 56:219–231

2. Al-Raoush RI, Willson CS (2005) Extraction of physically realistic pore network properties from three-dimensional synchrotron X-ray microtomography images of unconsolidated porous media systems. J Hydrol 300(1):44–64

3. An S, Yao J, Yang Y, Zhang L, Zhao J, Gao Y (2016) Influence of pore structure parameters on flow characteristics based on a digital rock and the pore network model. J Nat Gas Sci Eng 31:156–163

4. Bai H, Ge Y, Mariethoz G (2016) Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics. Spat Stat 17(17):83–104

5. Biswal B, Manwart C, Hilfer R, Bakke S, Øren PE (1999) Quantitative analysis of experimental and synthetic microstructures for sedimentary rock. Physica A 273(3–4):452–475

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