FMI image based rock structure classification using classifier combination

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 模式分析与学习团队

	FMI image based rock structure classification using classifier combination
	Yin, Xu-Cheng 1; Liu, Qian 1; Hao, Hong-Wei 1; Wang, Zhi-Bin 1; Huang, Kaizhu 2
刊名	NEURAL COMPUTING & APPLICATIONS
	2011-10-01
卷号	20 期号:7 页码:955-963
关键词	FMI Rock structure classification Feature extraction Classifier combination Oil and gas exploration
英文摘要	Formation Micro Imager (FMI) can directly reflect changes of wall stratums and rock structures, and is an important factor to classify stratums and identify lithology for the oil and gas exploration. Conventionally, people analyze FMI images mainly with manual processing, which is, however, extremely inefficient and incurs a heavy workload for experts. In this paper, we propose an automatic rock structure classification system using image processing and pattern recognition technologies. We investigate the characteristics of rock structures in FMI images carefully. We also develop an effective classification framework with classifier combination that can integrate the domain knowledge from experienced geologists successfully. Our classification system includes three main steps. First, various effective features, specially designed for FMI images, are calculated and selected. Then, the corresponding single classifier associated with each feature is constructed. Finally, all these classifiers are combined as an effective cascade recognition system. We test our rock structure classification system with real FMI rock images. In experiments, with only one training sample per class, the average recognition accuracy of our proposed system is 81.11%. The accuracy is 15.55 percent higher than the traditional 1-nearest neighborhood method. Moreover, this automatic system can significantly reduce the complexity and difficulty in the rock structure analysis task for the oil and gas exploration.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	TIGHT GAS SANDSTONES ; PREDICTION ; MACHINE ; SYSTEMS ; CORES
收录类别	SCI
语种	英语
WOS记录号	WOS:000294910400005
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3062]
专题	自动化研究所_模式识别国家重点实验室_模式分析与学习团队
作者单位	1.Univ Sci & Technol Beijing, Dept Comp Sci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yin, Xu-Cheng,Liu, Qian,Hao, Hong-Wei,et al. FMI image based rock structure classification using classifier combination[J]. NEURAL COMPUTING & APPLICATIONS,2011,20(7):955-963.
APA	Yin, Xu-Cheng,Liu, Qian,Hao, Hong-Wei,Wang, Zhi-Bin,&Huang, Kaizhu.(2011).FMI image based rock structure classification using classifier combination.NEURAL COMPUTING & APPLICATIONS,20(7),955-963.
MLA	Yin, Xu-Cheng,et al."FMI image based rock structure classification using classifier combination".NEURAL COMPUTING & APPLICATIONS 20.7(2011):955-963.