Global Geology 2015, 18(4) 238- DOI:     ISSN: 1673-9736 CN: 22-1371/P

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Keywords
MLQN method
F�� conjugate gradient
frequency domain
full waveform inversion
Authors
LU Xiaoman
FENG Xuan
LIU Cai
ZHOU Chao
WANG Baoshi
ZHANG Minghe and XU Cong
PubMed
Article by LU Xiaoman
Article by FENG Xuan
Article by LIU Cai
Article by ZHOU Chao
Article by WANG Baoshi
Article by ZHANG Minghe and XU Cong

Full waveform inversion based on improved MLQN method

LU Xiaoman, FENG Xuan, LIU Cai, ZHOU Chao, WANG Baoshi, ZHANG Minghe and XU Cong

1�� College of Geo- Exploration Science and Technology�� Jilin University�� Changchun 130026�� China; 2�� Baixian Company��Northeast Electric Power Design Institute Co����Ltd�� of China Power Engineering Consulting Group�� Changchun 130021��China

Abstract��

Full waveform inversion (FWI) is a challenging data- fitting procedure between model wave field va- lue and theoretical wave field value�� The essence of FWI is an optimization problem��and therefore�� it is impor- tant to study optimization method�� The study is based on conventional Memoryless quasi- Newton (MLQN) method�� Because the Conjugate Gradient method has ultra linear convergence��the authors propose a method by using Fletcher- ��eeves (F��) conjugate gradient information to improve the search direction of the conventional MLQN method�� The improved MLQN method not only includes the gradient information and model information�� but also contains conjugate gradient information�� And it does not increase the amount of calculation during every iterative process�� Numerical experiment shows that compared with conventional MLQN method��the improved MLQN method can guarantee the computational efficiency and improve the inversion precision��

Keywords�� MLQN method   F�� conjugate gradient   frequency domain   full waveform inversion  
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