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Reconstruction of a digital core containing clay minerals based on a clustering algorithm
Yanlong He1,2, Chunsheng Pu1,2, Cheng Jing1,2
1School of Petroleum Engineering, Xian Shiyou University, Xi'an, Shanxi, 710065, China.
Reconstructing digital cores from sandstone reservoirs is challenging, especially for unconsolidated types. This study introduces a hybrid method using clustering algorithms to accurately model clay mineral distributions, improving digital core reconstruction for reservoir simulation.
Area of Science:
- Geoscience
- Petroleum Engineering
- Computational Modeling
Background:
- Obtaining core samples and detailed information for digital core reconstruction of mature sandstone reservoirs, particularly unconsolidated ones, is challenging.
- Accurate reconstruction and division of clay minerals are crucial for digital core models but remain a research hurdle.
- Existing two-dimensional data-based methods have limitations in capturing complex clay microstructures.
Purpose of the Study:
- To develop an improved method for digital core reconstruction of sandstone reservoirs, focusing on accurate modeling of clay minerals.
- To address the challenges in reconstructing diverse clay mineral types, textures, and distributions within digital core models.
- To provide an alternative simulation method for clay minerals in digital cores.
Main Methods:
- A hybrid approach was employed, considering clay mineral content based on two-dimensional reservoir data.
- The Hoshen-Kopelman algorithm was utilized to label connected clay clusters.
- The K-means clustering algorithm was applied to segment labeled clusters based on their characteristics for detailed reconstruction.
Main Results:
- The hybrid method successfully generated digital cores with clay clusters, showing similar statistics and geometry to reference models.
- The Hoshen-Kopelman algorithm effectively labeled and quantified clay clusters by number and size.
- The K-means algorithm facilitated the division of large clusters, leading to a more accurate representation of clay mineral distributions and textures.
Conclusions:
- The developed clustering algorithm significantly improves digital core reconstruction accuracy for sandstone reservoirs.
- This method offers a viable alternative for simulating various clay minerals and their complex structures in digital core models.
- The findings contribute to more realistic microstructural reservoir simulations, especially for challenging unconsolidated sandstone formations.
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