Automatic Fresnel zone picking in the dip-angle domain using deep neural networks

doi:10.1093/jge/gxy012

CORC > 地质与地球物理研究所 > 中国科学院地质与地球物理研究所 > 中国科学院油气资源研究重点实验室

	Automatic Fresnel zone picking in the dip-angle domain using deep neural networks
	Sun, Hui 1,2,3; Zhang, Hao 1,2,4; Song, Mingpeng 1,2,3; Li, Shengrong 1,2,3; Lu, Yongming 5
刊名	JOURNAL OF GEOPHYSICS AND ENGINEERING
	2019-02-01
卷号	16 期号:1 页码:136-145
关键词	Fresnel zone picking deep neural networks (DNNs) seismic data high resolution imaging
ISSN号	1742-2132
DOI	10.1093/jge/gxy012
英文摘要	Although successful applications of deep neural networks (DNNs) have been shown in many research fields, their application to Fresnel zone picking for Kirchhoff-type migration has not been explored. We investigate the application of DNNs for identifying the left and right boundaries of the Fresnel zone in the dip-angle domain automatically, which leads to an optimal summation for imaging. We use a pair of 1D dip-angle gathers in both inline and crossline directions as the input data to train the DNNs in a supervised way. The goal is to minimize the cost as a function of weights and biases. The trained DNNs can be utilized to automatically extract a set of marks regarding different dip-angle values from a large number of sub-images in dip-angle gathers. Through experiment, we show that a four-layer DNN is enough to extract the features of our training data and meanwhile avoid overfitting in estimating the Fresnel zone range. Finally, we adopt two field data examples, Dashen and Xudong oil field in China, to demonstrate the effectiveness and the generalization ability of the DNNs-based Fresnel zone picking on dip-angle gathers. The results illustrate that the proposed DNN is an efficient automatic data-driven picker needing little human participation.
资助项目	National Natural Science Foundation of China[41804129] ; China Postdoctoral Science Foundation[2018T110137]
WOS关键词	MIGRATION ; RESOLUTION
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000466715700012
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/91484]
专题	地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者	Zhang, Hao
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China 5.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Sun, Hui,Zhang, Hao,Song, Mingpeng,et al. Automatic Fresnel zone picking in the dip-angle domain using deep neural networks[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING,2019,16(1):136-145.
APA	Sun, Hui,Zhang, Hao,Song, Mingpeng,Li, Shengrong,&Lu, Yongming.(2019).Automatic Fresnel zone picking in the dip-angle domain using deep neural networks.JOURNAL OF GEOPHYSICS AND ENGINEERING,16(1),136-145.
MLA	Sun, Hui,et al."Automatic Fresnel zone picking in the dip-angle domain using deep neural networks".JOURNAL OF GEOPHYSICS AND ENGINEERING 16.1(2019):136-145.