»姓名：杨继东 | »系属：地球物理系 |
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»学位：博士研究生 | »职称：教授 | |
»学科专业：地球物理学；地质资源与地质工程；海洋地质学 | »导师类别：博士生导师 | |
»电子邮箱：jidong.yang@upc.edu.cn »科研主页：https://seislabupc.cn | ||
»联系电话：15964210517 | ||
»通讯地址：青岛市黄岛区长江西路66号，中国石油大学（华东） | ||
»概况：致力于油气勘探及地壳/地幔不同尺度地震成像与反演理论方法研究和算法研发工作，每年招收2~3名“地质资源与地质工程”和“地球物理学”硕士和博士研究生，与国内外同行一起完善射线类和波动类地震成像与反演理论体系。 | ||
◎研究方向 1、勘探地震学（Exploration seismology）： ª 复杂介质（弹性、粘滞性、各向异性）正演模拟与地震波传播机理研究； ª 高斯束偏移、逆时偏移、多波多分量偏移与最小二乘反演成像； ª 人工智能辅助数据处理、偏移成像和速度建模； ª 全波形反演参数建模理论及算法研发； ª 微地震和压裂定位及监测。 2、天然地震学（Earthquake seismology）： ª 高精度地震破裂成像及震源机制研究； ª 地壳地幔尺度主/被动源结构成像。 3、计算地震学（Computational seismology）： ª 高效并行地震成像与反演软件研发； ª 多源跨尺度地震反演成像软件研发。 ◎教育经历 2016.09-2020.05：德克萨斯州大学达拉斯分校，地球科学专业，哲学博士学位 2013.09-2016.07：中国石油大学（华东），地质资源与地质工程专业，工学硕士学位 2009.09-2013.07：西安石油大学，勘查技术与工程专业，工学学士学位 ◎工作及科研经历 2022.01-至今：中国石油大学（华东），地球物理系，教授 2020.08-2021.12：中国石油大学（华东），地球物理系，特任教授 2019.01-2019.05：道达尔石油公司，休斯顿研发部，科研实习生 2018.05-2018.08：沙特阿美石油公司，休斯顿研发部，科研实习生 2018.01-2020.05：德克萨斯州大学达拉斯分校，地球科学系，科研助理 2016.08-2017.12：德克萨斯州大学达拉斯分校，地球科学系，教学助理 ◎荣誉称号 2021年：国家优秀青年科学基金（海外）项目获得者 2022-至今：中国石油大学（华东）“光华学者”特聘岗 2020-2021年：中国石油大学（华东）“光华学者”拔尖岗 ◎学术兼职 2024-2025年：《地球与行星物理论评（中英文）》青年编委 2023-2025年：《Journal of Geophysics and Engineering》青年编委 2023-2024年：《Fractal and Fractional》客座副主编 2023年：《Journal of Geophysics and Engineering》客座副主编 2022-2023年：《中国石油大学学报》“地热专栏”副主编 2022年-2024年：《Petroleum Science》青年编委 2022-2024年：《中国石油大学学报》青年编委 2021-2022年：《Frontiers in Earth Science》客座副主编 2021-2024年：《石油物探》青年编委 2021年：“环境工程与地球科学国际学术会议”组委会成员 2018年-至今：SEG、EAGE、AGU及中国地球物理学会会员 2018年-至今：美国地球物理协会（SEG）年会摘要地震数据处理和全波形反演专题审稿人 2018年-至今：EPSL, GRL, Geophysical Journal International, Geophysics, IEEE TGRS, Surveys in Geophysics, Petrol. Science and Engineering, Computer & Geosciences, Geophysical Prospecting, Journal of Applied Geophysics, Exploration Geophysics等10余本杂志审稿人 2017/12-2018/12：UT-Dallas SEG 分会副主席 ◎获奖情况 2023年，中国地球物理学会，傅承义青年科技奖 2023年，中国产学研合作促进会，产学研合作创新成果奖一等奖，《复杂油地震数据高分辨率处理与成像关键技术及应用》，排名4/10，证书编号：20226016 2023年，中国石油和化学工业联合会，科技进步奖二等奖，《深层地震智能处理与高分辨率反演成像关键技术及工业化应用》，排名4/10，证书编号：2022JBR438-2-4 2022年，中国发明协会，发明创业奖成果奖一等奖，《深层复杂油气藏高精度地震成像方法及应用》，排名2/6，证书编号：2022-CAICG-1-T03 2022年，中国地球物理学会，刘光鼎地球物理青年科学技术奖 2021年，美国德克萨斯州大学达拉斯分校，Best Dissertation Award 2021年，中国地球物理学会，科学技术奖三等奖，《双复杂地区地震数据采集及处理关键技术与规模化应用》，排名第5/5，证书编号：DK-2021-114-005 2021年，山东省教育厅，一流课程，《地震参数及灾害虚拟仿真系统》，排名第3/5 2018, 2019年，美国勘探地球物理协会，SEG/Anadarko奖学金 2017年，山东省教育厅，山东省优秀硕士论文，证书编号：S2017029 2016年，李四光地质科学奖基金会，李四光优秀学生奖（硕士），证书编号：16-8-M-3 2015年，王涛英才奖学金管理委员会，王涛英才奖学金，证书编号：WTYCJXJ2015-6 ◎著作 《复杂介质高斯束偏移成像方法及应用》，中国石油大学出版社（ISBN: 978-7-5636-4840-5），2015，排名第3/4 ◎指导学生获奖 2023年：国家奖学金，孙加星（20级博士），于由财（21级硕士） 2023年11月：第九届山东省互联网大学生创新创业大赛，铜奖，王伟奇、于由财、徐洁等，《无“地”遁形-国内中深层高温地热新能源智能探测开拓者》，山东省教育厅，证书编号：2023HLWJ0649 2023年10月：第二届“东方杯”全国大学生勘探地球物理软件开发大赛，三等奖，王兆星、陈宣好、黄涛，《构造保持的三维叠后去噪技术》，SEG、中国石油学会、中石油东方地球物理公司等 2023年3月22日：第十三届“挑战杯”中国大学生创业计划竞赛，铜奖，张东林、苏来源、徐洁等，《智视深地-国内深层油气高精度成像技术领航者》，共青团中央 2023年8月25日：第十届“东方杯”全国大学生勘探地球物理大赛，二等奖，张浩、王鹏飞，中石油东方地球物理公司 2022年：国家奖学金，徐洁（21级硕士） 2022年7月6日：第十三届“挑战杯”建设银行山东省大学生创业计划竞赛，金奖，《智视深地-国内深层油气高精度成像技术领航者》，张东林、苏来源、徐洁等，共青团山东省委，证书编号：SDTZB202201222-2 ◎科研项目 2023-2025年：国家海外青年专家配套科研经费，国家科技部 2022-2023年：《地热地球物理基础理论研究》，山东能源集团有限公司 2022-2023年：《复杂地表粘声波方程数值模拟及逆时偏移方法研究》，中国石油天然气股份有限公司勘探开发研究院西北分院 ◎代表性论文 一、期刊论文 [1] Yu, Y., Yang, J.*, Huang, J., Wang, W., Qin, S. and Li, Z., 2023. Full Waveform Inversion Using a High-Dimensional Local-Coherence Misfit Function. IEEE Transactions on Geoscience and Remote Sensing, 61, pp.1-8. [2] Sun, J., Yang, J.*, Huang, J., Yu, Y., Li, Z. and Zhao, C., 2023. LsmGANs: Image-Domain Least-Squares Migration Using a New Framework of Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing, 61, p.3304726. [3] Sun J, Yang J*, Huang J, Qin S, Chen X, Yu Y. Multitask Deep Learning for Least-Squares Imaging: Seismic Reflectivity Inversion and Quantitative Error Analysis. IEEE Geoscience and Remote Sensing Letters. 2023, 20:3323345. [4] 祝贺君, 刘沁雅, 杨继东., 2023. 地震学全波形反演进展. 地球与行星物理论评, 54(3), 287-317. [5] Sun, J., Yang, J.*, Li, Z., Huang, J., Luo, X., Xu, J., 2023. Intelligent AVA Inversion Using a Convolution Neural Network Trained with Pseudo-Well Datasets. Surveys in Geophysics, 1-31. [6] Hu, Z., Yang, J.*, Han, L., Huang, J., Qin, S., Sun, J., Yu, Y., 2023. Modeling seismic wave propagation in the Loess Plateau using a viscoacoustic wave equation with explicitly expressed quality factor. Frontiers in Earth Science, 10, 1069166. [7] Wang, W., Yang, J.*, Huang, J., Li, Z., & Sun, M., 2023. Outlier Denoising Using a Novel Statistics-Based Mask Strategy for Compressive Sensing. Remote Sensing, 15(2), 447. [8] Sun, J., Yang, J.*, Li, Z., Huang, J., Xu, J., Zhuang, S., 2023. Reflection and diffraction separation in the dip-angle common-image gathers using convolutional neural network. Geophysics, 88(1), WA281-WA291. [9] Tian, Y., Yang, J.*, Li, Z., Huang, J., Qin, S., 2023. Hierarchical wave-mode separation in the poroelastic medium using eigenform analysis. Geophysics, 88(1), T33-T44. [10] Yang, J., Huang, J., Zhu, H., McMechan, G. and Li, Z., 2022. An Efficient and Stable High‐Resolution Seismic Imaging Method: Point‐Spread Function Deconvolution. Journal of Geophysical Research: Solid Earth, 127(7), p.e2021JB023281. [11] Luo, B., Zhu, H., Yang, J., Lay, T., Ye, L., Lu, Z., Lumley, D., 2022. Detecting and Locating Aftershocks for the 2020 Mw 6.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks. Seismological Society of America, 93(6), 3266-3277. [12] Yang, J., Huang, J., Xu, J. and Zhao, Y., 2022. Quantitative error analysis for the least-squares imaging. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-10. [13] Yang, J., Xu, J., Huang, J., Yu, Y., Sun, J., 2022. The connection of velocity and impedance sensitivity kernels with scattering-angle filtering and its application in full waveform inversion. Frontiers in Earth Science, 10, 961750. [14] Yang, J.,Huang, J., Zhu, H., McMechan, G., Li, Z., 2022. Introduction to a Two‐Way Beam Wave Method and Its Applications in Seismic Imaging. Journal of Geophysical Research: Solid Earth, 127(6), e2021JB023357. [15] Zhang, D., Huang, J., Yang, J., Li, Z.C., Zhuang, S.B. and Li, Q.Y., 2022. A fast space-time-domain Gaussian beam migration approach using the dominant frequency approximation. Petroleum Science, 19(4), pp.1555-1565. [16] Zhuang, S., Huang, J., Yang, J. and Li, Z.C., 2022. A computational method for wide-azimuth 3D dip-angle gathers using Gaussian beam migration. Petroleum Science, 19(5), pp.2081-2094. [17] Yang, J., Zhu, H., Lay, T., Niu, Y., Ye, L., Lu, Z., Luo, B., Kanamori, H., Huang, J. and Li, Z., 2021. Multi-fault opposing‐dip strike‐slip and normal‐fault rupture during the 2020 Mw 6.5 Stanley, Idaho earthquake. Geophysical Research Letters,48(10), e2021GL09251. [18] Yang, J., Huang, J., Li, Z., Zhu, H., McMechan, G., Zhang, J., Hu, C. and Zhao, Y., 2021. Mitigating Velocity Errors in Least-Squares Imaging Using Angle-Dependent Forward and Adjoint Gaussian Beam Operators. Surveys in Geophysics, pp.1-42. [19] Yang, J., Huang, J., Li, Z., Zhu, H., McMechan, G.A. and Luo, X., 2021. Approximating the Gauss-Newton Hessian Using a Space-Wavenumber Filter and its Applications in Least-Squares Seismic Imaging. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-13. [20] Yang, J., Huang, J., Zhu, H., Li, Z. and Dai, N., 2021. Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operator. Geophysics, 86(5), pp.S339-S353. [21] Yang, J., Zhu, H., Li, X., Ren, L. and Zhang, S., 2020. Estimating P Wave Velocity and Attenuation Structures Using Full Waveform Inversion Based on a Time Domain Complex‐Valued Viscoacoustic Wave Equation: The Method. Journal of Geophysical Research: Solid Earth, 125(6), p.e2019JB019129. [22] Zhu, H., Stern, R. and Yang, J., 2020. Seismic evidence for subduction-induced mantle flows underneath Middle America. Nature Communications, 11(1), pp.1-12. [23] Zhu, H., Li, X., Yang, J., Stern, R.J. and Lumley, D.E., 2020. Poloidal‐and Toroidal‐Mode Mantle Flows Underneath the Cascadia Subduction Zone. Geophysical Research Letters, 47(14), p.e2020GL087530. [24] Zhu, H., Yang, J. and Li, X., 2020. Azimuthal anisotropy of the North American upper mantle based on full waveform inversion. Journal of Geophysical Research: Solid Earth, 125(2), p.e2019JB018432. [25] Yang, J., Zhu, H. and Lumley, D., 2020. Time‐Lapse Imaging of Coseismic Ruptures for the 2019 Ridgecrest Earthquakes Using Multiazimuth Backprojection With Regional Seismic Data and a 3‐D Crustal Velocity Model. Geophysical Research Letters, 47(9), p.e2020GL087181. [26] Yang, J., Hua, B., Williamson, P., Zhu, H., McMechan, G. and Huang, J., 2020. Elastic Least-Squares Imaging in Tilted Transversely Isotropic Media for Multicomponent Land and Pressure Marine Data. Surveys in Geophysics, pp.1-29. [27] Yang, J., Zhu, H., McMechan, G., Zhang, H. and Zhao, Y., 2019. Elastic least-squares reverse time migration in vertical transverse isotropic media. Geophysics, 84(6), pp.S539-S553. [28] Yang, J. and Zhu, H., 2019. Viscoacoustic least-squares reverse time migration using a time-domain complex-valued wave equation. Geophysics, 84(5), pp.S479-S499. [29] Yang, J., Zhang, H., Zhao, Y. and Zhu, H., 2019. Elastic wavefield separation in anisotropic media based on eigenform analysis and its application in reverse-time migration. Geophysical Journal International, 217(2), pp.1290-1313. [30] Yang, J. and Zhu, H., 2019. Locating and monitoring microseismicity, hydraulic fracture and earthquake rupture using elastic time-reversal imaging. Geophysical Journal International, 216(1), pp.726-744. [31] Yang, J. and Zhu, H., 2018. Viscoacoustic reverse time migration using a time-domain complex-valued wave equation. Geophysics, 83(6), pp.S505-S519. [32] Yang, J. and Zhu, H., 2018. A time-domain complex-valued wave equation for modelling visco-acoustic wave propagation. Geophysical journal international, 215(2), pp.1064-1079. [33] Yang, J., Zhu, H., Wang, W., Zhao, Y. and Zhang, H., 2018. Isotropic elastic reverse time migration using the phase-and amplitude-corrected vector P-and S-wavefields. Geophysics, 83(6), pp.S489-S503. [34] Yang, J., Zhu, H., McMechan, G. and Yue, Y., 2018. Time-domain least-squares migration using the Gaussian beam summation method. Geophysical Journal International, 214(1), pp.548-572. [35] Yang, J., Zhu, H., Huang, J. and Li, Z., 2018. 2D isotropic elastic Gaussian-beam migration for common-shot multicomponent records. Geophysics, 83(2), pp.S127-S140. [36] Yang, J. and Zhu, H., 2018. A practical data-driven optimization strategy for Gaussian beam migration. Geophysics, 83(1), pp.S81-S92. [37] 杨继东, 黄建平, 李振春, 王欣, 2016. 基于匹配追踪稀疏分解的高斯束成像方法. 地球物理学进展, (3), pp.1237-1245. [38] 黄建平, 杨继东*, 李振春, 李辉峰, 2016. 基于有效邻域波场近似的起伏地表保幅高斯束偏移. 地球物理学报, 59(6), pp.2245-2256. [39] Yang, J., Huang, J., Wang, X. and Li, Z., 2015. An amplitude-preserved adaptive focused beam seismic migration method. Petroleum Science, 12(3), pp.417-427. [40] 杨继东, 黄建平, 王欣, 李振春, 段心意, 2015. 复杂地表条件下叠前菲涅尔束偏移方法. 地球物理学报, 58(10), pp.3758-3770. [41] 杨继东, 黄建平, 吴建文, 王欣, 李振春, 2015. 不同地震波束构建格林函数的精度影响因素分析. 石油地球物理勘探, 50(6), pp.1073-1082. 二、国际会议摘要 [1] Yang, J., Huang, J., Zhu, H. and McMechan, G., 2023, June. Bridging the gap between ray-based and wave-equation methods: A new two-way beam wave equation approach. 84th EAGE Annual Conference & Exhibition, Vol. 2023, No. 1, pp. 1-5. [2] Yang J, Huang J, Zhu H, McMechan G. High-resolution imaging using Gaussian beam point-spread-function deconvolution. SEG International Exposition and Annual Meeting, 2023, pp. SEG-2023. [3] Yang, J., Xu, J. and Huang, J., 2022, June. A Coherent-Stacking-Based Least-Squares Migration Scheme for Imaging Deep Structures. In 83rd EAGE Annual Conference & Exhibition, Vol. 2022, No. 1, pp. 1-5. [4] Yang, J., Huang, J., Li, Z., Zhu, H. and Dai, N., 2021, September. A stable space-wavenumber attenuation compensation method for viscoacoustic reverse-time migration. In First International Meeting for Applied Geoscience & Energy, pp. 2724-2728. [5] Yang, J., Huang, J., Li, Z., Zhu, H. and McMechan, G., 2021, September. Angle-domain least-squares Gaussian beam migration. First International Meeting for Applied Geoscience & Energy pp. 2704-2708. [6] Yang, J., Hua, B., Williamson, P., Zhu, H., McMechan, G., Huang, J. and Li, Z., 2021, October. Estimating Subsurface P-and S-wave Reflectivities using Elastic TTI Least-Squares Reverse-Time Migration. In 82nd EAGE Annual Conference & Exhibition. 2021 (1), pp. 1-5. [7] Yang, J., Zhu, H., Lay, T., Niu, Y., Ye, L., Lu, Z., Luo, B., Kanamori, H., Huang, J. and Li, Z., 2021, December. Multi-fault rupture during the 2020 Mw6. 5 Stanley, Idaho earthquake. AGU Fall Meeting. [8] Yang, J., Zhu, H. and Lumley, D., 2020. Coseismic rupture process of 2019 Ridgecrest earthquake sequence computed using regional back-projection with a 3D crustal velocity model. AGU Fall Meeting, pp.S037-0001. [9] Yang, J. and Zhu, H., 2019. Imaging earthquake rupture using elastic reverse-time migration and its application for 2014 Mw6. 1 South Napa earthquake. AGU Fall Meeting, pp.S31C-0517. [10] Yang, J. and Zhu, H., 2019. Isotropic elastic reverse-time migration using impedance sensitivity kernel. SEG Technical Program Expanded Abstracts, pp. 4440-4444. [11] Yang, J., Zhu, H., Zhao, Y. and Zhang, J., 2019. Elastic reverse-time migration using phase-and amplitude-corrected vector P-and S-wavefields. SEG 2018 Workshop: SEG Seismic Imaging Workshop, pp. 32-36. [12] Yang, J. and Zhu, H., 2019. Q-compensated reverse-time migration using a new time-domain viscoacoustic wave equation. SEG 2018 Workshop: SEG Seismic Imaging Workshop, pp. 37-41. [13] Yang, J. and Zhu, H., 2018. Locating and monitoring hydraulic fracturing and earthquake rupture using elastic reverse-time migration. AGUFM, pp.NS31B-0746. [14] Yang, J. and Zhu, H., 2018. Least-squares reverse time migration using the impedance-sensitivity kernel. SEG Technical Program Expanded Abstracts, pp. 4488-4492. [15] Yang, J. and Zhu, H., 2018. Time-domain least-squares Gaussian beam migration with L1 regularization. SEG Technical Program Expanded Abstracts, pp. 4266-4270. [16] Yang, J. and Zhu, H., 2018. Low-frequency compensation and its application in full-waveform inversion. SEG Technical Program Expanded Abstracts, pp. 1304-1308. [17] Yang, J. and Zhu, H., 2018. A new time-domain wave equation for viscoacoustic modeling and imaging. SEG Technical Program Expanded Abstracts, pp. 3793-3797. [18] Yang, J., Zhang, S. and Zhu, H., 2017. Isotropic elastic wavefields decomposition using fast Poisson solvers. SEG Technical Program Expanded Abstracts, pp. 4716-4720. [19] Yang, J. and Zhu, H., 2017. Least-squares Gaussian beam migration in time-space domain. SEG Technical Program Expanded Abstracts, pp. 4711-4715. [20] Yang, J., Zhu, H., Huang, J. and Li, Z., 2016. Elastic Fresnel beam migration for areas with irregular topography. SEG Technical Program Expanded Abstracts, pp. 4351-4356. [21] Yang, J., Zhu, H., Huang, J. and Li, Z., 2016. Study of data-driven optimization strategy for beam migration. SEG Technical Program Expanded Abstracts, pp. 4316-4320. [22] Yang, J., Huang, J., Wang, X. and Li, Z., 2015. High SNR Gaussian beam migration based on matching pursuit sparse decomposition. SEG Technical Program Expanded Abstracts, pp. 4308-4312. [23] Yang, J., Huang, J., Wang, X. and Li, Z., 2015. Prestack depth migration method using the time-space Gaussian beam. SEG Technical Program Expanded Abstracts, pp. 4303-4307. [24] Yang, J., Huang, J., Wang, X. and Li, Z., 2015. Fresnel beam depth migration from the irregular topography. SEG Technical Program Expanded Abstracts, pp. 4318-4322. [25] Yang, J., Huang, J., Wang, X. and Li, Z., 2015. Common-shot elastic Gaussian beam depth migration. SEG Technical Program Expanded Abstracts, pp. 2159-2164. [26] Yang, J., Huang, J., Wang, X., Li, Z. and Yang, Y., 2015. Data-driven Gaussian beam migration based on local similarity analysis. 77th EAGE Conference and Exhibition, Volume 2015, No. 1, pp. 1-5. [27] Yang, J., Huang, J., Wang, X. and Li, Z., 2014. Amplitude-preserved Gaussian beam migration based on wave field approximation in effective vicinity under rugged topography condition. SEG Technical Program Expanded Abstracts, pp. 3852-3856 | ||
