教师简介

李媛媛(特任教授)

作者:发布者:伏健责任编辑:审核人:发布时间:2023-04-28浏览次数:4587

»姓名:李媛媛

»系属:地球物理系 


»学位:博士

»职称:特任教授

»专业:地球物理学

»导师类别:博士生导师

»电子邮箱:liyuanyuanlulu@163.com

»联系电话:15264206837

»通讯地址:山东青岛市黄岛区长江西路66

»概况:李媛媛,山东济南人,特任教授,博士生导师,入选省部级高层次人才称号,中国石油大学(华东)光华学者

研究方向

地震反演与成像,全波形反演,人工智能在油气地震勘探中的应用

 

教育经历

2013.9-2018.6:中国石油大学(华东),地质资源与地质工程,博士学位

2016.10-2017.10: 沙特阿卜杜拉国王科技大学,博士联合培养

2009.9-2013.6:中国石油大学(华东),勘查技术与工程,学士学位

 

工作经历

2023.04 - 至今:中国石油大学(华东),地球物理系,特任教授

2021.11-2022.12:沙特阿卜杜拉国王科技大学,研究科学家

2018.11-2021.10:沙特阿卜杜拉国王科技大学,博士后

 

学术兼职

2021-2022SEG workshop Applications of Machine Learning and AI in Geophysics ,技术委员和分会场主席

2022Energy Geosciences客座编辑

2018-至今:IEEE Transactions on Geoscience and Remote SensingGeophysicsGeophysical Journal InternationalGeophysical Prospecting等期刊审稿人

2019-至今:EAGESEG会员

 

获奖情况

2020年:KAUST-NVIDIA   Hackathon 一等奖

2016年:博士国家奖学金

2011年:国家奖学金

2010年:国家奖学金

 

荣誉称号

2022年:山东省优秀青年科学基金(海外)项目获得者

2023年:中国石油大学(华东)光华学者

 

论文

期刊论文:

[1] Yuanyuan Li and Tariq Alkhalifah, Target-oriented time-lapse elastic full-waveform inversion constrained by deep learning-based prior model, IEEE Transactions on Geoscience and Remote sensing, 2022, 60.

[2] Yuanyuan Li and Tariq Alkhalifah, Target-oriented high-resolution elastic full waveform inversion with an elastic redatuming method, Geophysics, 2022, 87(5): R379-R389.

[3] Yuanyuan Li, Tariq Alkhalifah and Zhendong Zhang, Deep-learning assisted regularized elastic full waveform inversion using the velocity distribution information from wells, Geophysical Journal International, 2021, 226(2): 1322-1335.

[4] Yuanyuan Li, Tariq Alkhalifah and Qiang Guo, Target-oriented time-lapse waveform inversion using deep learning assisted regularization, Geophysics, 2021, 86(4): R485-R495.

[5] Yuanyuan Li, Qiang Guo, Zhenchun Li and Tariq Alkhalifah, Elastic reflection waveform inversion with variable density, Geophysics, 2019, 84(4): R553-R567.

[6] Yuanyuan Li, Yunseok Choi, Tariq Alkhalifah, Zhenchun Li and Kai Zhang, Full waveform inversion using nonlinearly smoothed wavefield, Geophysics, 2018, 83(2): R117-R127.

[7] Yuanyuan Li and Tariq Alkhalifah, Extended full waveform inversion with matching filter, Geophysical prospecting, 2021, 69(7): 1441-1454.

[8] Yuanyuan Li and Tariq Alkhalifah, Multi-parameter reflection waveform inversion for acoustic transversely isotropic media with a vertical symmetry axis, Geophysical prospecting, 2020,68:1878-1892.

[9] Yuanyuan Li, Zhenchun Li, Kai Zhang and Yuzhao Lin, Frequency-domain full waveform inversion with rugged free surface based on variable grid finite-difference method, Journal of seismic exploration, 2016, 25: 543-559.

[10]Yuanyuan Li, Zhenchun Li, Kai Zhang and Xuan Zhang, Frequency domain elastic full waveform multi-scale inversion method based on dual-level parallelism, Applied Geophysics, 2015, 12(4):545-554.

[11]Yuanyuan Li and Tariq Alkhalifah, Self-supervised pre-training Vision Transformer with masked autoencoders for building subsurface model, IEEE Transactions on Geoscience and Remote sensing, 2023.

[12]Senlin Yang, Tariq Alkhalifah, Yuxiao Ren, Bin Liu, Yuanyuan Li, and Peng Jiang, Well-log information-assisted high-resolution waveform inversion based on deep learning, IEEE Geoscience and Remote sensing Letters, 2023.

[13]Chao Song, Tariq Alkhalifah and Yuanyuan Li, A sequential inversion with outer iterations for the velocity and the intrinsic attenuation using an efficient wavefield inversion, Geophysics, 2020, 85(6): R447–R459.

[14]蔺玉曌, 李振春, 张凯, 李媛媛, 基于新的惩罚因子算法的波场重构反演, 地球物理学报, 2018, 61(10): 4100-4109.

[15]Zhenchun Li, Yuzhao Lin, Kai Zhang, Yuanyuan Li, Zhennan Yu, Time-domain wavefield reconstruction inversion, Applied Geophysics, 2017, 14(4): 523-528.

[16]李媛媛,李振春,张凯. 频率域多尺度弹性波全波形反演, 2015.05, 石油物探.   

会议论文:

[1] Yuanyuan Li and Tariq Alkhalifah, High-resolution target reservoir inversion underlying a transversely isotropic elastic overburden, EAGE Annual Conference & Exhibition, 2022.

[2] Yuanyuan Li, Abdullah Alali and Tariq Alkhalifah, High-wavenumber extrapolation for band-limited FWI results using deep learning, EAGE Annual Conference & Exhibition, 2022.

[3] Yuanyuan Li and Tariq Alkhalifah, Target-Oriented High-Resolution Elastic Full Waveform Inversion using Redatumed Multi-Component Data, EAGE Annual Conference & Exhibition, 2021.

[4] Yuanyuan Li, Andrey Bakulin, Philippe Nivlet, Robert Smith and Tariq Alkhalifah, Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information, SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, 2021.

[5] Yuanyuan Li, Tariq Alkhalifah and Zhendong Zhang, High-resolution regularized elastic full waveform inversion assisted by deep learning, EAGE Annual Conference & Exhibition, 2020.

[6] Yuanyuan Li, Tariq Alkhalifah and Qiang Guo, Target-oriented time-lapse waveform inversion using a deep learning assisted regularization, SEG Annual Conference & Exhibition, 2020.

[7] Yuanyuan Li, Qiang Guo, Tariq Alkhalifah and Vladimir Kazei, Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness, SEG Annual Conference & Exhibition, 2020.

[8] Yuanyuan Li and Tariq Alkhalifah, Matching-filter based extended full waveform inversion, EAGE Conference and Exhibition, 2019.

[9] Yuanyuan Li and Tariq Alkhalifah, Reflection waveform inversion in acoustic VTI media, SEG Conference and Exhibition, 2019.

[10]Yuanyuan Li, Tariq Alkhalifah, Qiang Guo, Zhenchun Li, Elastic reflection waveform inversion with variable density, SEG Conference and Exhibition, 2017.

[11]Yuanyuan Li, Yunseok Choi, Tariq Alkhalifah, Zhenchun Li and Kai Zhang, Full waveform inversion using nonlinearly smoothed wavefield, EAGE Conference and Exhibition, 2017.

[12]Yuanyuan Li, Zhenchun Li and Kai Zhang, Multi-scale Frequency-domain Elastic Full Waveform Inversion Based on Dual-level Parallelism, EAGE Conference and Exhibition, 2016.

[13]Yuanyuan Li, Zhenchun Li and Kai Zhang, Frequency-domain waveform inversion with irregular surface based on variable grid finite difference method, EAGE Conference and Exhibition, 2016.