Research of step-length estimation methods for full waveform inversion in time domain

doi:10.1080/08123985.2019.1641266

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 > 中国科学院矿产资源研究重点实验室

	Research of step-length estimation methods for full waveform inversion in time domain
	Ma, Xiaona 1,2; Li, Zhiyuan 1; Ke, Pei 3; Xu, Shanhui 4; Liang, Guanghe 1; Wu, Xiquan 5
刊名	EXPLORATION GEOPHYSICS
	2019-09-18
页码	17
关键词	Full waveform inversion step-length estimation method exact line-search method inexact line-search method step-length initial-guess method
ISSN号	0812-3985
DOI	10.1080/08123985.2019.1641266
英文摘要	Full waveform inversion (FWI) is a powerful tool for reconstructing high-resolution subsurface parameters estimated by iteratively minimising the difference between calculated and observed data. Step-length estimation is a key step in the successful implementation of the FWI algorithm. An optimal step-length value rapidly causes the FWI algorithm to reach the global minimum with reduced iterations and fewer extra forward modelling simulations during each iteration. Step-length can typically be calculated using an inexact or an exact line-search method. The backtracking line-search method (BLSM) is a typical inexact method. Initial methods of guessing the step-length and evaluation conditions determine the efficiency of a BLSM scheme. Here, we propose a quadratic extrapolation value as the initial guess in a BLSM scheme, and then compare it with other initial-guess approaches by using the first Wolfe condition to evaluate step-length values. Exact line-search methods include a parabolic fitting search method through three points (PFSM-3), a parabolic fitting search method through two points (PFSM-2) and the analytical step-length method (ASLM). To find optimal and stable step-length estimation methods for FWI, we compare four step-length estimation methods: BLSM, PFSM-3, PFSM-2 and ASLM. Numerical examples using synthetic data demonstrate that quadratic extrapolation values perform better than first-order change and adaptive values in the BLSM scheme, in terms of resolution of the reconstructed model and computational costs. Of the four step-length estimation methods, ASLM and BLSM are both efficient for noise-free data, and robust ASLM is more efficient for noisy data. However, PFSM-2 and PFSM-3 are less efficient because of low accuracy and high computational cost.
资助项目	R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)[ZDYZ2012-1-06] ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences[KLMR2017-17]
WOS关键词	SEISMIC-REFLECTION DATA ; SELECTION-STRATEGIES ; ELASTIC INVERSION ; GRADIENT METHODS ; NEWTON METHODS ; GAUSS-NEWTON ; TOMOGRAPHY
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000486852400001
资助机构	R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments) ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences ; Open Issue of Key Laboratory of Mineral Resources, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/93703]
专题	地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者	Liang, Guanghe
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.BGP Inc, China Natl Petr Corp, Zhuozhou, Hebei, Peoples R China 4.CEA, Inst Geophys, Key Lab Seism Observat & Geophys Imaging, Beijing, Peoples R China 5.Geophys & Geochem Explorat Brigade Jiangxi, Nanchang, Jiangxi, Peoples R China
推荐引用方式 GB/T 7714	Ma, Xiaona,Li, Zhiyuan,Ke, Pei,et al. Research of step-length estimation methods for full waveform inversion in time domain[J]. EXPLORATION GEOPHYSICS,2019:17.
APA	Ma, Xiaona,Li, Zhiyuan,Ke, Pei,Xu, Shanhui,Liang, Guanghe,&Wu, Xiquan.(2019).Research of step-length estimation methods for full waveform inversion in time domain.EXPLORATION GEOPHYSICS,17.
MLA	Ma, Xiaona,et al."Research of step-length estimation methods for full waveform inversion in time domain".EXPLORATION GEOPHYSICS (2019):17.