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个人简介

教育经历 2012.9-2016.12:PhD;The University of Texas at Dallas;Geosciences 2010.9-2013.12:硕士;中国石油大学(华东);专业:地球探测与信息技术 2007.6-2010.6:学士(双学位);中国石油大学(华东);专业:英语 2006.6-2010.6:学士;中国石油大学(华东);专业:勘查技术与工程 工作经历 2017.4至今: 哈尔滨工业大学,数学学院,副教授 2016.1-2016.12:法国道达尔(Total)石油公司,实习科研助理 2013.5-2013.8:西班牙雷普索尔(Repsol)石油公司,实习科研助理 2012.9-2016.1:德克萨斯大学达拉斯分校,科研助理、助教 科研项目 2024-2027:国家自然科学基金面上项目(主持,在研) 2023-2026:黑龙江省科学基金联合引导项目(主持,在研) 2019-2021:国家自然科学基金青年项目(主持,结题) 2019-2020:国家科技重大专项(中石化)外协项目(主持,结题) 2019-2021:中国石化地球物理重点实验室开放基金(主持,结题) 2017-2020:哈工大青年拔尖人才项目(主持,结题)

研究领域

地震波传播与数值模拟;地震勘探成像与地下介质建模 各向异性介质中波场分离与逆时偏移成像;超声无损检测 深度学习在地球物理勘探中的应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Wenlong Wang, George A McMechan, Jianwei Ma*, 2023, Re-weighted variational full waveform inversions, Geophysics, 88, no. 4, R499-R512. Li Ren*, Fuchun Gao, Yulang Wu, Paul Williamson, George A. McMechan, Wenlong Wang, 2022, Automated dispersion curve picking using multi-attribute convolutional-neural-network based machine learning, Geophysical Journal International, 232(2), 1173-1208. Jing Rao*, Yingji Tao, Yan Sun, Cunjian Miao, Wenlong Wang*, 2023, Detection of defects in highly attenuating materials using ultrasonic least-squares reverse time migration with preconditioned stochastic gradient descent, Ultrasonics, 131(2023):106930. 李燕梅,顾焕申,许凯,孙振涛,王文龙*,2022,基于最优输运与循环神经网络的全波形反演,地球物理学进展, 37(6),2408-2416. Wenlong Wang*, George A McMechan, Jianwei Ma, 2021, Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks, Geophysics, 86, no. 6, R795–R810. Wenlong Wang*, George A McMechan, Jianwei Ma, Fei Xie, 2021, Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach, Geophysics, 86, no. 2, U1-U13. Wenlong Wang*, Jianwei Ma, 2020, Velocity model building with machine learning in a cross-well acquisition geometry, Geophysics, 85, no. 2, U31-U46. Dekuan Chang*, Wu yang Yang, Xueshan Yong, Guangzhi Zhang, Wenlong Wang, Haishan Li, Yihui Wang, 2020, Seismic data interpolation using dual-domain conditional generative adversarial networks, IEEE Geoscience and Remote Sensing Letters, 10, no. 10, 1856 – 1860. Wenlong Wang*, George A. McMechan, 2019, P- and S-wave separation and decomposition of two- and three-component elastic seismograms, Journal of Seismic Exploration, 28, 425-447. Wenlong Wang*, Biaolong Hua, George A. McMechan, Paul Williamson, 2019, Reverse-time migrations in transversely isotropic media: A comparison between acoustic and elastic wave equations with two wave mode separation algorithms, Geophysics, 84, no. 2, C95-C105. Wenlong Wang*, George A. McMechan, 2019, 3D isotropic elastic reverse time migration using signed magnitudes of elastic data components, Journal of Seismic Exploration, 28, 221-244. Siwei Yu, Jianwei Ma*, Wenlong Wang, 2019, Deep learning for denoising, Geophysics, 84, no. 6, V333-V350. Wenlong Wang*, Biaolong Hua, George A. McMechan, Bertrand Duquet, 2018, P and S decomposition in anisotropic media with localized low-rank approximations, Geophysics, 83, no. 1, C13-C26. Jidong Yang*, Hejun Zhu, Wenlong Wang, Yang Zhao, Houzhu Zhang, 2018, Isotropic elastic reverse-time migration using the phase-and amplitude-corrected vector P-and S-wavefields, Geophysics, 83, no. 6, S489-S503. Wenlong Wang*, George A. McMechan, Chen Tang, Fei Xie, 2016, Up/down and P/S decompositions of elastic wavefields using complex seismic traces with applications to calculating Poynting vectors and ADCIGs from reverse-time migrations, Geophysics, 81, no. 4, S181-S194. Wenlong Wang*, George A. McMechan, Fei Xie, 2016, Analysis of up and down decomposed acoustic RTM images, Geophysics, 81, no. 4, S253-S259. Wenlong Wang*, George A. McMechan, Qunshan Zhang, 2015, Comparison of two algorithms for isotropic elastic P and S vector decomposition, Geophysics, 80, no. 4, T147-T160. Wenlong Wang*, George A. McMechan, 2015, Vector-based elastic reverse time migration: Geophysics, 80, no. 6, S245-S258. 张广智,王文龙,2011, 基于射线的角度道集提取方法综述,地球物理学进展, 26(5). 1696-1707. 会议论文 Li Ren*, Fuchun Gao, Yulang Wu, Paul Williamson, Wenlong Wang, George A McMechan, 2021, Automatic picking of multi-mode dispersion curves using CNN-based machine learning, 91st Annual International Meeting, SEG, Expanded Abstracts, 1551-1555. Muyang Ge, Wangxiangming Zheng, Wenlong Wang, 2021, Semi-supervised impedance inversion by Bayesian neural network based on 2-d CNN pre-training, SEG Global Meeting Abstracts, 129-133. Wenlong Wang*, George A. McMechan, Jianwei Ma, 2020, Elastic full-waveform inversion with recurrent neural networks, 90th Annual International Meeting, SEG, Expanded Abstracts, 860-864. Wenlong Wang*, Jianwei Ma, 2019, VMB-Net: A deep learning network for velocity model building in a cross-well acquisition geometry, 89th Annual International Meeting, SEG, Expanded Abstracts, 2569-2572. Wenlong Wang*, Jianwei Ma, 2019, PS decomposition of isotropic elastic wavefields using CNN-learned filters, 81th EAGE Conference and Exhibition, 533. Wenlong Wang*, Fangshu Yang, Jianwei Ma, 2018, Automatic Salt Detection with Machine Learning, 80th EAGE Conference and Exhibition, Tu P6 01. Wenlong Wang*, Fangshu Yang, Jianwei Ma, 2018, Velocity model building with a modified fully convolutional network, 88th Annual International Meeting, SEG, Expanded Abstracts, 2086-2090. Wenlong Wang*, Biaolong Hua, George A. McMechan, Bertrand Duquet, 2017, Localized low-rank approximation with application in anisotropic wavefield P-S decomposition, 87th Annual International Meeting, SEG, Expanded Abstracts, 363-368. Wenlong Wang*, George A. McMechan, 2016, Vector-based image condition for 3D elastic reverse time migrations, 86th Annual International Meeting, SEG, Expanded Abstracts, 4168-4172. Wenlong Wang*, George A. McMechan, 2015, Vector domain P and S decomposition in viscoelastic Media: 85th Annual International Meeting, SEG, Expanded Abstracts, 2153-2158. 王文龙,印兴耀,2011,射线角度道集提取方法选择,中国地球物理协会第27次年会(长沙),636[28]. Dekuan Chang*, Guangzhi Zhang, Wenlong Wang, 2014, Angle domain common image gathers by DSR-based true amplitude wave equation, International Geophysical Conference & Exposition, Beijing, China : 459-462.

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