基于孔壁光学图像的岩石孔隙结构识别与分析方法研究

doi:10.13722/j.cnki.jrme.2021.0558

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Abstract Pore structure is an important factor in rock mass quality evaluation，reservoir classification and seepage characteristics research. Continuous quantitative analysis of pore structure in whole well section is still a difficult problem. Based on the feature that the optical image of the hole wall continuously records the structural information of rock mass in the whole well section，a method for accurate identification and quantitative analysis of rock pore structure is proposed. Firstly，according to the difference of different structure information in the optical image of the hole wall，the effective identifications of drilling fluid，dark gray shading of rock and pore structure are realized by reasonably adjusting the R，B and G components of the image and converting the color space. Then，the best threshold binarization and morphological operation are carried out on the optical image of the hole wall，and the accurate recognition of the rock pore structure is completed. On the basis of accurate identification of the pore structure，combined with the depth and orientation information attached in the optical image of the hole wall，a calculation method of the surface porosity and the linear porosity is proposed. Combined with specific cases，the pore structure distribution analysis and particle size statistics along the depth and orientation of boreholes are completed. The research shows that based on the rock structure information in the optical image of the hole wall，the automatic identification and statistical analysis of the pore structure can be realized，which provides a new idea and method for the continuous research of rock pore structure in the whole well section.

Key words： rock mechanics optical image of borehole wall pore structure porosity pore distribution

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	Articles by authors
	WANG Chao1
	2
	WANG Chuanying1
	WANG Yiteng1
	WANG Jinchao1
	3
	CHEN Wei3
	4
	HAN Zengqiang1
	2

Cite this article:

WANG Chao1,2,WANG Chuanying1, et al. Research on identification and analysis method of rock pore structure based on optical images of borehole walls[J]. , 2021, 40(9): 1894-1901.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2021.0558 OR https://rockmech.whrsm.ac.cn/EN/Y2021/V40/I9/1894

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