FMI image based rock structure classification using classifier combination

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	FMI image based rock structure classification using classifier combination
	Yin, Xu-Cheng 1; Liu, Qian 1; Hao, Hong-Wei1 ; Wang, Zhi-Bin 1; Huang, Kaizhu 2
发表期刊	NEURAL COMPUTING & APPLICATIONS
	2011-10-01
卷号	20 期号:7 页码:955-963
文章类型	Article
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.
关键词	Fmi Rock Structure Classification Feature Extraction Classifier Combination Oil And Gas Exploration
WOS标题词	Science & Technology ; Technology
关键词[WOS]	TIGHT GAS SANDSTONES ; PREDICTION ; MACHINE ; SYSTEMS ; CORES
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000294910400005
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3062
专题	多模态人工智能系统全国重点实验室_模式分析与学习
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.