Structure Analysis of Volcanic Rock Based on the Texture Feature in Imaging Logging

Abstract:

The rock structure information is a very important feature in the complex lithology identification. However, conventional logging response characteristics of the rock structures are very weaker, resulting that the recognition rate of complex lithology is very low in conventional logging. With the help of imaging logging data with accurate, intuitive structural characteristics of the rock, the volcanic structure is analyzed in electronic imaging logging data in this paper. First, several structural characteristics of volcanic rock are introduced. Then, several texture features are extracted based on image processing method. Finally, imaging logging response characteristics of different volcanic structures are analyzed by means of histogram, and some texture features of imaging logging are chosen to identify volcanic structures in the cross-plot method. Real data processing analysis results show that texture features extracted from electrical imaging logging is effective to distinguish the structures of volcanic rocks.

• Periodical: Advanced Materials Research (Volumes 915-916)
• Pages: 1229-1233
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.915-916.1229
• Online since: April 2014
• Authors: Xiao Ling Xiao, Xiang Zhang
• Keywords: Complex Lithology, Imaging Logging, Rock Structure, Texture Features, Volcanic Rock

References

[1] Chen Xiaojun, Luo Shunshe, Zhang Ling. Volcanic Lava Features and Lithology Identification method [J]. Petroleum Geophysics, 2009, 7 (2): 18-21.

[2] Zhang Ying, Pan Baozhi Yin Changhai etc. Application of Imaging Logging in Volcanic Rock Recognition [J]. Petroleum Exploration, 2007, 46 (3): 288-294.

[3] Zheng Chun, Wang Yushan, Tang Jun etc. Research on Volcanic Lithology Identification in Imaging Logging [J]. Journal of Yangtze University, 2009, 6 (1): 172-174.

[4] Liu Li, Kuang Gangyao. Methods of extraction of image texture features [J]. Chinese Journal of Image and Graphics, 2009, 14 (4): 622 - 635.

[5] Bi Xiaojun. Intelligent Information Processing Technology, Electronics Industry Press, Beijing, (2010).

[6] Sun Luping, Shou Hao, Zhao Xiaolong, etc. Sedimentary Facies Identification Based on FMI Imaging Logging Data[J]. Well Logging Technology, 2009, 33 (4): 379-383.

[7] Xu Delong, Li Tao, Huang Baohua, etc. Research on the Identification of the Lithology and Fluid Type of Foreign M Oilfield by using the Crossplot Method. Progress in Geophysics, 2012, 27 (3) : 1123-1132.