金沙所有游戏网站:张捷
金沙所有游戏网站地球物理学兼职讲席教授、美国国家工程院院士
生命学院与管理学院兼职教授
办公室：金沙所有游戏网站11楼1123
麻省理工学院：12.571 – Near-Surface Geophysical Imaging
斯坦福大学：?GEOPHYS 242 – Near-Surface Geophysical Imaging
中国科技大学：GP15217 – Near-Surface Geophysical Imaging（英文课）
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1986年于金沙所有游戏网站地球物理专业获学士学位
1991年于美国Penn State取得地球物理学硕士学位
1996年于美国MIT获地球物理博士学位
读书学习期间以及毕业之后，曾在Shell， USGS，Blackhawk Geometrics工作, 从事地球物理成像科研与应用。
1998年创建美国GeoTomo地球物理勘探公司
2009年起先后在MIT和Stanford开设研究生课程
2011年受聘金沙所有游戏网站。
1994：美国国家基金委(NSF)颁发的南极奖
1995：美国总统颁发的新星奖(STAR Award)
1995：意大利国家南极委员会(PNRA)颁发的南极探险勋章
2012：国际勘探地球物理学会(SEG)颁发的Reginald Fessenden奖
2015：国际勘探地球物理学会(SEG)颁发的Outstanding Educator奖
2015：获选2015中国商业最具创意人物100第一名(美国商业月刊《Fast Company》中文版评选)
2016：获选国际勘探地球物理学会（SEG）荣誉讲师(Honorary Lecturer)
2020：国际勘探地球物理学会(SEG)授予终生会员荣誉
2011-2015：国际勘探地球物理学会（SEG）全球运营董事会董事
2011-2015：SEG中国指导委员会主席
2011-2019：MIT客访指导委员会委员
2015-2017：国际勘探地球物理学会（SEG）执行副主席
2018-2019：MIT斯隆商学院-亚洲商学院董事会董事
| 博士毕业生 | 毕业时间 | 毕业论文 | 毕业工作去向 |
| 江文彬 | 2019年1月 | 近地表高精度地球物理成像方法与应用 | 南京大学博士后 |
| 高 晗 | 2018年10月 | 地震数据剩余静校正与人工智能去噪研究 | 华为技术有限公司工作 |
| 田 宵 | 2018年4月 | 井下微地震监测方法研究 | 东华理工大学工作 |
| 孙梦瑶 | 2017年12月 | 复杂近地表结构成像方法的研究 | 清华大学博士后 |
| 刘志洋 | 2017年5月 | 基于数据提取与延展的波形联合反演方法研究 | 金沙所有游戏网站信息学院博士后 |
| 王 月 | 2017年4月 | 交叉梯度算法在地震和非地震数据联合反演中的应用及研究 | 中国地震局台网中心工作 |
| 韩 松 | 2016年5月 | TTI介质快速扫描法计算qP走时及微震震源和各向异参数的联合反演 | 沙特国家石油公司工作 |
| 张 雄 | 2016年3月 | 微地震位置和震源机制的快速波形反演及搜索引擎算法的研究 | 金沙所有游戏网站计算机学院博士后 |
| 张丽娜 | 2015年6月 | 基于走时的近地表各向异性层析成像 | 福建省地震局工作 |
| Jide Ogunbo | 2015年5月 | NEAR-SURFACE SEISMIC AND EM IMAGING | 美国MIT博士后 |
| 蔡 键 | 2015年5月 | 波形反演的非线性问题及实际数据应用的研究 | 法国CGG公司工作 （新加坡） |
| 况文欢 | 2015年5月 | 结合地震学和地质力学对微地震数据的研究 | 法国CGG公司工作 （新加坡） |
| 何 龙 | 2014年6月 | 关于近地表成像问题的一些研究 | 美国Schlumberger公司工作 |
| 硕士毕业生 | 毕业时间 | 毕业论文 | 毕业工作去向 |
| 袁聪聪 | 2019年6月 | 微地震定位及结构成像研究 | 美国哈佛大学读博 |
| 邓宇龙 | 2018年6月 | 应用卷积神经网络提取地震子波及在实际数据中的应用 | 广州中大管理咨询有限公司工作 |
| 于 淼 | 2018年1月 | 基于最优运输理论的目标函数在全波形反演中的应用与分析 | 巴黎地球物理研究所读博（INSTITUT DE PHYSIQUE DU GLOBE DE PARIS） |
| 周 航 | 2016年4月 | 低信噪比的微地震定位研究 | 华为技术有限公司工作 |
| 蒋 昊 | 2015年8月 | Time-lapse velocity analysis-a coherency approach to detect 4D velocity anomaly | 巴黎高矿读博（ECOLE DES MINES, MINES PARISTECH） |
| 胡 飞 | 2014年5月 | 基于微分格式的微地震走时反演方法研究 | 中石油工作 |
| 杨 泰 | 2013年6月 | 波形反演层析成像技术研究 | 中石油工作 |
| 吴其旻 | 2012年6月 | 地震走时层析成像和延迟时间法联合反演 | 美国Virginia Tech读博 |
| 柴承平 | 2012年6月 | 三维地震走时和直流电阻率联合反演 | 美国Penn State读博 |
195 Zhang, J. 2022. President's Page: Lookinginto the world of medical imaging from the perspective of a geophysicist. TheLeading Edge. 41 (6), 372-373.
194 Li, Quanli, W. Cao, W. Zhang, and J. Zhang.2022. Accelerating 2D and 3D frequency-domain seismic wave modeling throughinterpolating frequency-domain wavefields by deep learning. Geophysics.
193 Duan, X. and J. Zhang. 2022, Reflectionresidual statics estimated using a high-resolution neural network: Geophysics.87(4). U121-U134.
192 Zhang, Q., W. Zhang, X. Wu, J. Zhang, W.Kuang, and X. Si. 2022. Deep Learning for Efficient Microseismic Location usingSource Migration‐based Imaging. Journal of GeophysicalResearch: Solid Earth, e2021JB022649.
191 Zhu, H., M. Sun, J. Zhang. 2022. SeismicVelocity Variations over Four Years (2013–2016) along the Longmenshan Faults inSichuan, China. Bulletin of the Seismological Society of America 2022; doi:https://doi.org/10.1785/0120210183
190 Su, L., H. Wang, and J. Zhang. 2022.Amplitude enhancement of far-offset refractions via machine learning. SEGTechnical Program Expanded Abstracts : 2100-2104.
189 Wang, H., and J. Zhang. 2022. 3Dsurface-consistent residual statics estimation by deep learning. SEG TechnicalProgram Expanded Abstracts : 2095-2099.
188 Quimby, S., Y. Zhao, J. Zhang. 2022.Earthquake detection and focal mechanism calculation using artificialintelligence. SEG Global Meeting Abstracts : 3028-3038.
187 Kuang, W., C. Yuan, and J. Zhang. 2021,Real-time determination of earthquake focal mechanism via deep learning: NatureCommunications. 12, 1432. https://doi.org/10.1038/s41467-021-21670-x
186 Bahmani, B., H. Gong, B. T. Luk, K. J.Haushalter, E. DeTeresa, M. Previti, J. Zhou, W. Gao, J. D. Bui, L. Zhang, R.Fang, and J. Zhang. 2021, Intratumoral immunotherapy using platelet cloakednanoparticles enhances antitumor immunity in solid tumors. NatureCommunications. 12(1), 1-12. https://doi.org/10.1038/s41467-021-22311-z
185 Huo, Y. H., W. Zhang, J. Zhang. 2021.Centroid moment tensor of the 2019 Mw 5.7 Changning earthquake refined using 3DGreen’s functions considering surface topography. Front. Earth Sci., 9, 642721.doi: 10.3389/feart.2021.642721
184 Huo, Y., W. Zhang, J. Zhang, and H. Yang.2021. Using microseismic events to improve the accuracy of sensor orientationfor downhole microseismic monitoring. Geophysical Prospecting. 69(6),1167-1180. https://doi.org/10.1111/1365-2478.13099
183 Zhang J., W. Kuang, X. Zhang, C. Mo, D.Zhang. 2021. Global review of induced earthquakes in oil and gas productionfields. Reviews of Geophysics and Planetary Physics, 52(3): 239-265.http://www.sjdz.org.cn/cn/article/doi/10.16738/j.dqyxx.2020-027
182 Ma, Y. and J. Zhang. 2021. Velocity modelbuilding from one-shot VSP data via a convolutional neural network. SEGTechnical Program Expanded Abstracts 2021. September 2021, 3360-3364.https://doi.org/10.1190/segam2021-3581912.1
181 Shen, Y., K. Wang, and J. Zhang. 2021.Improving resolution in the first-arrival traveltime tomography. SEG TechnicalProgram Expanded Abstracts 2021. September 2021, 1922-1926.https://doi.org/10.1190/segam2021-3583896.1
180 Duan, X. and J. Zhang. 2021. Derive residualstatics solution using a high-resolution neural network. SEG Technical ProgramExpanded Abstracts 2021. September 2021, 1485-1489.https://doi.org/10.1190/segam2021-3583898.1
179 Wang, H. and J. Zhang. 2021. Seismic noiseattenuation by applying a deep learning method without noise-free labels. SEGTechnical Program Expanded Abstracts 2021. September 2021, 2909-2913.https://doi.org/10.1190/segam2021-3583901.1
178 Ding, X., Jie Zhang, Ji Zhang. 2021. 3Dsurvey geometry corrections and surface velocity mapping via deep learning. SEGTechnical Program Expanded Abstracts 2021. September 2021, 1831-1835. https://doi.org/10.1190/segam2021-3584157.1
177 Zhang, J., H. Zhu, S. Yu, and J. Ma. 2020,Constructing the Seismograms of Future Earthquakes in Yunnan, China, UsingCompressed Sensing: Seismological Research Letters, 2 (1): 261–274. doi:https://doi.org/10.1785/0220190382
176 Shen, Y., and J. Zhang. 2020, Refractionwavefield migration: Geophysics, 85(6), Q27-Q37.
175 Zhu, H., M. Sun, H. Fu, N. Du, J. Zhang.2020, Training a seismogram discriminator based on ResNet: IEEE Transactions onGeoscience and Remote Sensing, 59(8), 7076-7085.https://doi.org/10.1109/TGRS.2020.3030324
174 Li, Z., J. Zhang, D. Liu, and J. Du. 2020,CT Image-Guided Electrical Impedance Tomography for Medical Imaging. IEEETRANSACTIONS ON MEDICAL IMAGING. Vol 39, No. 6, 1822-1832
173 Duan, X. and J. Zhang. 2020. Multi-tracefirst break picking using an integrated seismic and machine learning method:Geophysics, 85(4), WA269-WA277
172 Sun, M., and J. Zhang. 2020, Thenear-surface velocity reversal and its detection via unsupervised machine learning:Geophysics, 85(3), U55-U63
171 Ma, Y., C. Yuan, J. Zhang. 2020, Jointinversion for microseismic event locations and anisotropic parameters with thecross double-difference method in VTI media. Geophysics, 85(3), KS63-KS73
170 Tian, X., W. Zhang, X. Zhang, J. Zhang, Q.Zhang, X. Wang, and Q. Guo. 2020, Comparison of single-trace and multiple-tracepolarity determination for surface microseismic data with deep learning.Seismological Research Letters, 91(3):1794-1803. https://doi.org/10.1785/0220190353
169 Kuang, W., and J. Zhang. 2020, Direct stressfield estimation through waveform matching. Geophysical Journal International,221，853-856.https://doi.org/10.1093/gji/ggaa034
168 Zhang, X., J. Zhang, C. Yuan, S. Liu, Z.Chen, W. Li. 2020, Locating induced earthquakes with a network of seismicstations in Oklahoma via a deep learning method. Scientific Reports, 10, 1941.https://doi.org/10.1038/s41598-020-58908-5
167 Jiang, W., C. A. Zelt, and J. Zhang. 2020,Detecting an underground tunnel by applying joint traveltime and waveforminversion. Journal of Applied Geophysics, 174, 103957.
166 Yuan, C., X. Zhang, X. Jia, and J. Zhang,2020, Time-lapse Velocity Imaging via Deep Learning: Geophysical JournalInternational, 220, 1228-1241. https://doi.org/10.1093/gji/ggz511
165 Ding, X. and J. Zhang, 2020, Rapidhigh-resolution 3D seismic surface traveltime tomography: SEG Technical ProgramExpanded Abstracts 2020. September 2020, 1890-1894.
164 Zhang, J. 2020, Applying a joint geophysicalinversion approach for medical imaging: SEG Technical Program ExpandedAbstracts 2020. September 2020, 3507-3511.
163 Zhuang, J., M. Holay, J. H. Park, R. Fang,J. Zhang, L. Zhang, 2019, Nanoparticle Delivery of Immunostimulatory Agents forCancer Immunotherapy. Theranostics, 9(25), 7826-7848. doi:10.7150/thno.37216
162 Wang, Y., and J. Zhang, 2019, Jointrefraction traveltime tomography and migration for multi-layer near-surfaceimaging: Geophysics. 84(6), U31-U43
161 Sun, M., H. Zhu, J. Zhang, H. Fu, and X.Tian. 2019, Ground motion from Mw 1.5 to 3.9 aftershocks of the 2014 Mw 6.2Jinggu earthquake at hypocenter distances < 45 km in Yunnan, China.Seismological Research Letters, 90(5), 1876-1888
160 Jiang, W., J. Zhang, and L. Bell, 2019, 3Dseismic geometry quality control and corrections by applying machine learning:Geophysics. 84(6), P87-96
159 Wang, Y. and J. Zhang, 2019, 3D refractiontraveltime migration for near surface imaging: SEG Technical Program ExpandedAbstracts 2019: pp. 2848-2852
158 Duan, X. and J. Zhang, 2019, Multi-trace andmulti-attribute analysis for first-break picking with the support vectormachine: SEG Technical Program Expanded Abstracts 2019: pp. 2559-2563
157 Shen, Y. and J. Zhang, 2019, Applying therefraction migration method to image a deep interface in Xinjiang, China: SEGTechnical Program Expanded Abstracts 2019: pp. 4307-4311
156 Ma, Y. and J. Zhang, 2019, Joint inversionfor microseismic event locations and anisotropic parameters with the crossdouble-difference method in VTI media: SEG Technical Program Expanded Abstracts2019: pp. 3101-3105
155 Xue, Z., J. Zhang, Y. Wang, Z. Li, 2019, Thefirst-arrival traveltime tomography with joint minimum support and Tikhonovregularization: SEG Technical Program Expanded Abstracts 2019: pp. 2853-2857
154 Li, Z., X. Jia, and J. Zhang, 2019, Deeplearning guiding first-arrival traveltime tomography: SEG Technical ProgramExpanded Abstracts 2019: pp. 2513-2517
153 Sun, M., H. Zhu, J. Zhang, H. Fu, X. Tian,2019, Ground motion from small aftershocks of 2014 Mw 6.2 Jinggu earthquake atshort hypocentral distances in Yunnan, China: SEG Technical Program ExpandedAbstracts 2019: pp. 3131-3135
152 Zhang, X., J. Zhang, C. Yuan, S. Liu, Z.Chen, W. Li. 2018, Locating earthquakes with a network of seismic stations viaa deep learning method. Preprint at https://arxiv.org/abs/1808.09603
151 Gao, H., and J. Zhang, 2018, Simultaneousdenoising and interpolation of seismic data via deep learning method:Earthquake Research in China. 33 (1), 37-51.
150 Yuan, C., and J. Zhang, 2018, A feasibilitystudy of imaging hydraulic fractures with anisotropic reverse time migration:Journal of Applied Geophysics. Vol 155, pp. 199-207.
149 Sun, M., M. D. Sacchi, and J. Zhang, 2018,Highly efficient first-arrival traveltime tomography by stochasticoptimization: Geophysics. Vol. 83, No. 4, pp. R283-R296.
148 Wang, Y. and J. Zhang., 2018, 2D elasticwaveform inversion for velocity and Q factor in the near surface. ActaSeismologica Sinica. 40(5), 595-608.
147 Yuan, C., X. Jia, S. Liu, and J. Zhang,2018, Microseismic reverse time migration with a multi-cross-correlationstaining algorithm for fracture imaging: Journal of Applied Geophysics, 149,95-104.
146 Li, Z. and J. Zhang, 2018, Applying JointTraveltime and Waveform Inversion to Image the Sichuan Basin, China: NearSurface Geophysics, 16(1), 1-9.
145 Jiang, W., and J. Zhang, 2018, 3Dfirst-arrival traveltime tomography with modified total-variationregularization: Journal of Geophysics and Engineering, 15, 1, 207–223.
144 Ogunbo, J. N., G. Marquis, J. Zhang, and W.Wang, 2018, Joint inversion of seismic traveltime and frequency-domain airborneelectromagnetic data for hydrocarbon exploration: Geophysics, 83, 2, 9-22.
143 Sun, M., J. Zhang, Y. Wang, 2018,Recognizing shingling seismic data by unsupervised machine learning: SEGTechnical Program Expanded Abstracts 2018: pp. 2561-2565.
142 Zhang, X., C. Yuan, J. Zhang, S. Liu, Z.Chen, and W. Li, 2018, Automatic microseismic detection and location via thedeep convolutional neural network: SEG Technical Program Expanded Abstracts2018: pp. 3057-3061.
141 X. Duan, J. Zhang, Z. Liu, S. Liu, Z. Chen,and W. Li, 2018, Integrating seismic first-break picking methods with a machinelearning approach: SEG Technical Program Expanded Abstracts 2018: pp.2186-2190.
140 Shen, Y., M. Sun, J. Zhang, S. Liu, Z. Chen,and W. Li, 2018. Seismic trace editing by applying machine learning. SEGTechnical Program Expanded Abstracts 2018: pp. 2256-2260.
139 Li, Z., J. Zhang, Z. Liu, S. Liu, Z. Chen, andW Li, 2018, Characterizing the near surface velocity structures by applyingmachine learning: SEG Technical Program Expanded Abstracts 2018: pp. 2712-2716.
138 Liu, Z., J. Zhang, S. Liu, Z. Chen, and W.Li, 2018, Detection of the near surface velocity reveal with the convolutionalneural network: SEG Technical Program Expanded Abstracts 2018: pp. 2251-2255.
137 Wang, Y., J. Zhang, 2018, Joint refractiontraveltime tomography and migration for multi-layer near surface imaging: SEGTechnical Program Expanded Abstracts 2018: pp. 2717-2721.
136 Bi, Z., J. Zhang, and M. Sun, 2018, Thefirst-arrival traveltime tomography with simultaneous sources: SEG TechnicalProgram Expanded Abstracts 2018: pp. 2727-2731.
135 Xue, Z., J. Zhang, M. Sun, Y. Wang, 2018,Long-wavelength statics solutions for the near surface with velocity reversal:SEG Technical Program Expanded Abstracts 2018: pp. 2722-2726.
134 Kuang, W., and J. Zhang, 2018, Estimatetemporal pore pressure distribution from induced seismicity in Oklahoma: SEG TechnicalProgram Expanded Abstracts 2018: pp. 3032-3036.
133 Tian, X., J. Zhang, and W. Zhang, 2018, Aneffective workflow for updating 1D velocity model and event location inmicroseismic monitoring. 2018 CPS/SEG International Conference, Beijing, China.
132 Yuan, C., and J. Zhang, 2018, Vertialslowness constrained joint VTI velocity model and event locations inversion:CPS/SEG International Conference 2018, Beijing China.
131 Jiang, W. and J. Zhang, 2017, Imagingcomplex near-surface structures in Yumen oil field by joint seismic traveltimeand waveform inversion: Geophysical Prospecting for Petroleum, 56, 1, 57-68.
130 Liu, Z and J. Zhang, 2017 Joint traveltimeand waveform envelope inversion for near surface imaging: Pure and AppliedGeophysics, 174, 3, 1269 1289.
129 Zhang, X. and J. Zhang, 2017, Modelregularization for seismic traveltime tomography with an edge-preservingsmoothing operator: Journal of Applied Geophysics, 138, 143-153.
128 Gao, H. and J. Zhang, 2017, 3D seismicresidual statics solutions derived from refraction interferometry: GeophysicalProspecting, 65, 6, 1527-1540.
127 Feng, H., W. Zhang, J. Zhang, and X. Chen,2017, Importance of double-pole CFS-PML for broadband seismic wave simulationand optimal parameters selection: Geophysical Journal International, 209, 2,1148-1167.
126 Liu, Z. and J. Zhang, 2017, Jointtraveltime, waveform and waveform envelope inversion for near-surface imaging:Geophysics, 82, 4, 235-244.
125 Han, S., W. Zhang, and J. Zhang, 2017,Calculating qP-wave traveltimes in 2-D TTI media by high-order fast sweepingmethods with a numerical quartic equation solver: Geophysical JournalInternational, 210, 3, 1560–1569.
124 Sun, M., J. Zhang, and W. Zhang, 2017,Alternating the first-arrival traveltime tomography and waveform inversion fornear-surface imaging: Geophysics, 82, 4, 245-257.
123 Ogunbo, J.N. and J. Zhang, 2017, Transientelectromagnetic search engine for real-time imaging: Geophysics, 82, 5,277-285.
122 Wang, Y. and J. Zhang, 2017, Pseudo 2Delastic waveform inversion for attenuation in the near surface: Journal ofApplied Geophysics, 143, 129-140.
121 Tian, X., W. Zhang, and J. Zhang, 2017,Cross double-difference inversion for simultaneous velocity model update andmicroseismic event location: Geophysical Prospecting, 65, 51, 259-273.
120 Zhang, J., Z. Liu, M. Sun, W. Jiang, Z. Li,J. Chen, W. Zhang, W. Wang, 2017, Near surface imaging between alternating andjoint traveltime, waveform, and envelope inversions. 2017 2nd SEG/DGS NearSurface Workshop, Manama, Bahrain.
119 Zhang, X., J. Zhang, and W. Zhang, 2017,Automatic microseismic event detection and location with a RMS velocity andsurface data: SEG Technical Program Expanded Abstracts 2017, 2802-2807.
118 Zhu, H., and J. Zhang, 2017, Monitoring thecrustal temporal variations in Yunnan, China: SEG Technical Program ExpandedAbstracts 2017, 2997-3001.
117 Wang, Y., and J. Zhang, 2017, Applyingrefraction traveltime migration to image bedrock with high resolution: SEGTechnical Program Expanded Abstracts 2017, 5443-5447.
116 Yuan, C., X. Jia, S. Liu, and J. Zhang,2017, Multiple crosscorrelation staining reverse time migration forhigh-resolution fracture imaging: SEG Technical Program Expanded Abstracts2017, 2903-2907.
115 Jiang, W., Z. Liu, and J. Zhang, 2017,Diffraction imaging using reverse time migration with poynting vectors: SEGTechnical Program Expanded Abstracts 2017, 1028-1032.
114 Sun, M., J. Zhang, and M. Sacchi, 2017,Highly efficient 3D first-arrival traveltime tomography by stochasticapproximation: SEG Technical Program Expanded Abstracts 2017, 2676-2680.
113 Sun, M., J. Zhang, and W. Zhang, 2017,Alternating traveltime tomography and waveform inversion for near-surfaceimaging: SEG Technical Program Expanded Abstracts 2017, 2596-2600.
112 Duan, X., and J. Zhang, 2017, Residualstatics solution by L1 regularized inversion in common offset domain: SEGTechnical Program Expanded Abstracts 2017, 2696-2700.
111 Li, Z., and J. Zhang, 2017, First-arrivaltraveltime tomography with long- and short-wavelength statics constraints, SEGTechnical Program Expanded Abstracts 2017, 2681-2685.
110 Shen, Y., and J. Zhang, 2017,Interferometric imaging with FreeCableTM geometry: SEG Technical ProgramExpanded Abstracts 2017, 5963-5967.
109 Tian, X., W. Zhang, and J. Zhang, 2017,Cross double-difference inversion method for microseismic location and velocitymodel update: 2017 SEG Workshop: Microseismic Technologies and Applications,Hefei, China, 4-6 June 2017, 94-97.
108 Sun, M., J. Zhang, and W. Zhang, 2017,Alternating traveltime tomography and waveform inversion for near-surfaceimaging: SEG 2017 Workshop: Full-waveform Inversion and Beyond, 72-76.
107 Li, Z., and J. Zhang, 2017, Applying jointtraveltime and waveform inversion to image the Sichuan Basin, China: SEGWorkshop: Full-waveform Inversion and Beyond, 64-67.
106 Huo, Y., J. Zhang, and W. Zhang, 2017,Location accuracy improvement by using both perforation and microseismic eventsin sensor orientation: SEG Workshop: Microseismic Technologies andApplications, 111-114.
105 Yan, S., X. Zhang, W. Zhang, and J. Zhang,2017, Comparison of stacking methods with a depth model or with a RMS velocityfor automated microseismic event location from surface monitoring: SEGWorkshop: Microseismic Technologies and Applications, 205-208.
104 Yuan, C., J. Zhang, and W. Zhang, 2017,Automatic microseismic stacking location with a multi-cross-correlationcondition: SEG Workshop: Microseismic Technologies and Applications, 120-123.
103 Zhang, X., J. Zhang, F. Chu, and Y. Zhang,2017, The application of microseismic search engine for real-time estimation ofsource location and focal mechanism: SEG Workshop: Microseismic Technologiesand Applications, 201-204.
102 Z. Liu and J. Zhang, 2017, UtilizingPoynting vectors to emphasis low-wavenumber information for FWI: SEG Workshop:Full-waveform Inversion and Beyond, 51-54.
101 Jiang, W., J. Zhang, W. Wang, D. Zhou, andA. R. Ghazali, 2017, 3D joint seismic waveform and airborne gravity gradiometryinversion with cross-gradients constraints: SEG 2017 Workshop: Full-waveformInversion and Beyond, 133-135.
100 Sun, M., J. Zhang, and W. Zhang, 2017,Alternating traveltime tomography and waveform inversion for near-surfaceimaging: SEG 2017 Workshop: Full-waveform Inversion and Beyond, Beijing, China,20-22 November 2017, 72-76.
99 Cai, J. and J. Zhang, 2016, Full waveformmodeling and inversion of physical model data: Journal of Applied Geophysics,131, 145–153.
98 Zhang, X. and J. Zhang, 2016, Microseismicsearch engine for real-time estimation of source location and focal mechanism:Geophysics, 81, 5, 169-182.
97 Zhang, C. and J. Zhang, 2016, 2D seismicresidual statics derived from refraction interferometry: Journal of AppliedGeophysics, 130, 145–152.
96 Sun, M. and J. Zhang, 2016,Edge-preserving Traveltime Tomography with a Sparse Multiscale ImagingConstraint: Journal of Applied Geophysics, 131, 179–190.
95 Zhou, L., W. Zhang, Y. Shen, X. Chen, andJ. Zhang, 2016, Location and moment tensor inversion of small earthquakes using3D Green functions with realistic topography in Longmen Shan fault region ofsteep terrain: Earthquake Science, 29, 3, 139–151.
94 Tian, X., W. Zhang, and J. Zhang, 2016,Cross double-difference inversion for microseismic event location using datafrom a single monitoring well: Geophysics, 81, 5, 183-194.
93 Zhou, H., W. Zhang, and J. Zhang, 2016,Downhole microseismic monitoring for low signal-to-noise ratio events: Journalof Geophysics and Engineering, 13, 5, 805-816.
92 Kuang, W., M. Zoback, and J. Zhang, 2016,Estimating geomechanical parameters from microseismic plane focal mechanismsrecorded during multistage hydraulic fracturing: Geophysics, 82, 1, 1-11.
91 Jiang, W., and J. Zhang, 2016,First-arrival traveltime tomography with modified total-variationregularization: Geophysical Prospecting, 65, 5, 1138–1154.
90 Li, Z., and J. Zhang, 2016, Applying jointtraveltime and waveform inversion to image the Sichuan Basin, China: SEGTechnical Program Expanded Abstracts 2016, 2434-2438.
89 Liu Z., and J. Zhang, 2016, Jointtraveltime, waveform and waveform envelope inversion for the near-surfaceimaging: SEG Technical Program Expanded Abstracts 2016, 2393-2397.
88 Sun, M., J. Zhang, and W. Zhang, 2016,Improving efficiency of traveltime tomography by stochastic optimization, SEGTechnical Program Expanded Abstracts 2016, 2377-2381.
87 Huo, Y., W. Zhang, and J. Zhang, 2016, Improvesensor orientation using both drop-ball and microseismic events, SEG TechnicalProgram Expanded Abstracts 2016, 2642-2646.
86 Yuan C., and J. Zhang, 2016, 3Dmicroseismic imaging for identifying shale sweet spot: SEG Technical ProgramExpanded Abstracts 2016, 2689-2693.
85 Tian, X., W. Zhang, and J. Zhang, 2016,Joint Inversion of Perforations and Microseismic Events: 78th EAGE Conferenceand Exhibition 2016, Extended Abstracts, DOI: 10.3997/2214-4609.201601482.
84 Jiang, W., and J. Zhang, 2016, First-arrivaltraveltime tomography with modified total-variation regularization: 78th EAGEConference and Exhibition 2016, Extended Abstracts, DOI:10.3997/2214-4609.201600736.
83 Zhu, H., X. Tian, and J. Zhang, 2016,Real-time Earthquake Search Engine with Historic Data for Database: 78th EAGEConference and Exhibition 2016, Extended Abstracts, DOI:10.3997/2214-4609.201601611.
82 Zhang, L., W. Zhang, and J. Zhang, 2015,Anisotropic effects on the near surface seismic imaging: Near SurfaceGeophysics, 13, 5, 485-493.
81 Gao, H., and J. Zhang, 2015, 3D seismicresidual statics solutions by applying refraction interferometry: SEG TechnicalProgram Expanded Abstracts 2015, 5097-5101.
80 Han, S., W. Zhang, and J. Zhang, 2015,Joint microseismic quasi-P and SH traveltime inversion for updating VTIparameters: SEG Technical Program Expanded Abstracts 2015, 442-446.
79 Jiang, W., and J. Zhang, 2015, Imagingcomplex near-surface land area with joint traveltime and waveform inversion:SEG Technical Program Expanded Abstracts 2015, 1441-1445.
78 Tian, X., W. Zhang, and J. Zhang, 2015,Cross double-difference inversion method for microseismic location: SEGTechnical Program Expanded Abstracts 2015, 2640-2644.
77 Zhang, X., J. Zhang, and M. D. Zoback,2015, Fast elastic full waveform inversion for microseismic location and focalmechanism: SEG Technical Program Expanded Abstracts 2015, 2517-2521.
76 Liu, Z., and J. Zhang, 2015, Jointtraveltime and waveform envelope inversion for near-surface imaging: SEGTechnical Program Expanded Abstracts 2015, 1154-1158.
75 Zhang, J., 2015, Explicit staticsoptimization in the first-arrival traveltime tomography: 77th EAGE Conferenceand Exhibition 2015, Extended Abstracts, DOI: 10.3997/2214-4609.201412991.
74 Han, S., W. Zhang, and J. Zhang, 2015, Ahigh-order fast sweeping method for calculating quasi-P traveltimes in 2D TTImedia: 77th EAGE Conference and Exhibition 2015, Extended Abstracts, DOI:10.3997/2214-4609.201413001.
73 Zhou, H., and J. Zhang, 2015, Fitting theshapes of traveltime curves in downhole microseismic monitoring: 77th EAGEConference and Exhibition 2015, Extended Abstracts, DOI:10.3997/2214-4609.201413017.
72 Zhang, J. and X. Zhang, 2015, Full elasticwaveform search engine for near surface imaging: Near-Surface Asia PacificConference 2015, 92-95.
71 Ogunbo, J. N., and J. Zhang, 2015, Jointseismic traveltime and TEM inversion for near surface imaging: InternationalWorkshop and Gravity, Electrical & Magnetic Methods and their Applications2015, 509-512.
70 Wang, Y., and J. Zhang, 2015, Pseudo 2Delastic waveform inversion for velocity and Q factor in the near surface: SEGWorkshop: Depth Model Building: Full-waveform Inversion 2015, 84-89.
69 Zhang, J., X. Zhang, and W. Zhang, 2015,Microseismic search engine for real-time event monitoring: Near-Surface AsiaPacific Conference 2015, 237-240.
68 Cai, J., and J. Zhang, 2015, Acoustic fullwaveform inversion with physical model data: SEG Workshop: Depth ModelBuilding: Full-waveform Inversion 2015, 146-149.
67 Jiang, W., and J. Zhang, 2015, Imagingcomplex land structures using joint traveltime and waveform inversion: SEGWorkshop: Depth Model Building: Full-waveform Inversion 2015, 142-145.
66 Liu, Z., and J. Zhang, 2015, Jointtraveltime and waveform envelope inversion: SEG Workshop: Depth Model Building:Full-waveform Inversion 2015, 44-48.
65 Fan, H., L. Bell, Y. Deng, and J. Zhang,2015, Imaging shallow complex structures in North Sea with joint traveltime andwaveform inversion: SEG Workshop: Depth Model Building: Full-waveformInversion2015, 40-43.
64 Zhou, D., W. Wang, J. Zhang, and D. R. H.O'Connell, 2015, 3D joint inversion of seismic traveltime and gravity data: Acase study: International Workshop and Gravity, Electrical & MagneticMethods and their Applications, Chengdu, China, 19-22 April 2015, 386-389.
63 Ogunbo, J. N., and J. Zhang, 2015, Jointseismic traveltime and TEM inversion for near surface imaging: InternationalWorkshop and Gravity, Electrical & Magnetic Methods and their Applications,Chengdu, China, 19-22 April 2015, 509-512.
62 Zhang, J., H. Zhang, E. Chen, Y. Zheng, W.Kuang, and X. Zhang, 2014, Real-time earthquake monitoring using a searchengine method: Nature Communication, DOI: 10.1038/ncomms6664.
61 Zhang, J., and J. Chen, 2014, Jointseismic traveltime and waveform inversion for near surface imaging: SEGTechnical Program Expanded Abstracts 2014, 934-937.
60 Liu, Z., and J. Zhang, 2014, Pseudo 2Delastic full waveform inversion for near surface imaging: SEG Technical ProgramExpanded Abstracts 2014, 1017-1021.
59 Zhang, C., J. Zhang, and Z. Sun, 2014,Refraction interferometry for residual statics solutions: SEG Technical ProgramExpanded Abstracts 2014, 2045-2049.
58 Zhu, H., and J. Zhang, 2014, The PageRankmethod for automatic detection of microseismic events: SEG Technical ProgramExpanded Abstracts 2014, 2163-2167.
57 Cai, J., and J. Zhang, 2014, Full waveforminversion of physical model data: SEG Technical Program Expanded Abstracts2014, 997-1001.
56 Ogunbo, J. N., and J. Zhang, 2014, Jointseismic traveltime and TEM inversion for near surface imaging: SEG TechnicalProgram Expanded Abstracts 2014, 2104-2108.
55 Tian, X., J. Zhang, and W. Zhang, 2014,Double difference method for locating microseismic events from a single well:SEG Technical Program Expanded Abstracts 2014, 2193-2197.
54 Wang, Y., and J. Zhang, 2014, Pseudo 2Delastic waveform inversion for Q factor in the near surface: SEG TechnicalProgram Expanded Abstracts 2014, 2019-2023.
53 Zhang, X., W. Zhang, and J. Zhang, 2014,Elastic full waveform inversion of microseismic data for location and sourcemechanism: SEG Technical Program Expanded Abstracts 2014, 2256-2260.
52 Zhou, D., W. Wang, J. Zhang, and D.O’Connell, 2014, 3D joint inversion of seismic traveltime and gravity data: Acase study: SEG Expended Abstracts 33, 3148-3152.
51 Gao, Y., X. Chen, H. Hu, and J. Zhang, 2013, Early electromagneticwaves from earthquake rupturing: I. Theoretical formulations: GeophysicalJournal International, 192, 3, 1288-1307.
50 Gao, Y., X. Chen, H. Hu, and J. Zhang, 2013, Early electromagneticwaves from earthquake rupturing: II. Validation and numerical experiments:Geophysical Journal International, 192, 3, 1308-1323.
49 Zhang, J., X. Zhang, and W. Zhang, 2013,Microseismic search engine: SEG Technical Program Expanded Abstracts 2013,2140-2144.
48 Zhang, W., and J. Zhang, 2013,Microseismic migration by semblance-weighted stacking and interferometry: SEGTechnical Program Expanded Abstracts 2013, 2045-2049.
47 Kuang, W., W. Zhang, and J. Zhang, 2013,Locating microseismic events with S-wave data only: SEG Technical ProgramExpanded Abstracts 2013, 2243-2247.
46 He, L., W. Zhang, and J. Zhang, 2013, 3Dwave-ray traveltime tomography for near surface imaging: SEG Technical ProgramExpanded Abstracts 2013, 1749-1753.
45 Liu, Z., and J. Zhang, 2013, Elastic fullwaveform inversion for near surface imaging: SEG Technical Program ExpandedAbstracts 2013, 1904-1908.
44 Zhang, L., J. Zhang, and W. Zhang, 2013,3D VTI traveltime tomography for near surface imaging: SEG Technical ProgramExpanded Abstracts 2013, 1754-1759.
43 Ogunbo, J. N., and J. Zhang, 2013, TEMsearch engine for fast near surface imaging. SEG Technical Program ExpandedAbstracts 2013, 1878-1882.
42 Sun, M., and J. Zhang, 2013, Understandingof the first arrivals in the shape of a Christmas tree: SEG Technical ProgramExpanded Abstracts 2013, 1843-1846.
41 Wang, Y., and J. Zhang, 2013, Elasticearly arrival waveform inversion for Q factor in the near surface: SEGTechnical Program Expanded Abstracts 2013, 1733-1737.
40 Zhang, X., and J. Zhang, 2012, Edgepreserving regularization for seismic traveltime tomography: SEG TechnicalProgram Expanded Abstracts 2012, 112-115.
39 Zhang, L., J. Zhang, and W. Zhang, 2012,Anisotropic effects on the near-surface seismic imaging: SEG Technical ProgramExpanded Abstracts 2012, 1-5.
38 Zhang, W., and J. Zhang, 2011, Fullwaveform tomography with consideration for large topography variations: SEGTechnical Program Expanded Abstracts 2011, 2539-2542.
37 He, L., J. Zhang, and W. Zhang, 2011,Tradeoffs in the near-surface seismic imaging solutions, SEG Technical ProgramExpanded Abstracts 2011, 4015-4019.
36 Kuang, W., Zhang, L., and J. Zhang, 2011,Validity of acoustic early-arrival waveform tomography for near-surfaceimaging, SEG Technical Program Expanded Abstracts 2011, 1450-1453.
35 Zhang, J., 2006, Refraction migration:imaging multiple refractors automatically, Expanded Abstract, SEG 71st AnnualMeeting in New Orleans, Louisiana, p2426.
34 Nicanoff, L., Y. Perez, O. Yilmaz, N. Dai,and J. Zhang, 2006, A case study of imaging complex structures in the AndeanThrust Belt of Bolivia, Expanded Abstract: SEG 70th Annual Meeting in Houston,Texas, 500.
33 Zhang, J., O. Yilmaz, and N. Dai. 2006.First-arrival tomostatics and residual statics for near-surface corrections.CSPG CSEG CWLS Convention.
32 Yilmaz, O., J. Zhang, A. Pince, A.Aytunur, A. Elibuyuk, S. Uygun, T. Onaran, and A. F. Oner, 2005, A large-offset2-D seismic survey for imaging imbricate structures in thrust belts, ExpandedAbstract: SEG 70th Annual Meeting in Houston, Texas, 404.
31 Yilmaz, O., J. Zhang, and S. Yan, 2005,Acquisition and processing of large-offset seismic data: a case study fromNorthwest China, Expanded Abstract: SEG 70th Annual Meeting in Houston, Texas,2581-2584.
30 Zhang, J., and O. Yilmaz, 2005,Near-surface corrections for complex structure imaging, Expanded Abstract: SEG70th Annual Meeting in Houston, Texas, 2566-2568.
29 Zhang, J., Z. Sun, and C. Lippus, 2003,On-site instant automated refraction tomography, Proceedings, SAGEEP:Environmental and Engineering Geophysical Society, 1228-1231.
28 Zhang, J., and H. S. Kim, 2003, 3Drefraction tomography for near-surface geological studies, Proceedings, SAGEEP:Environmental and Engineering Geophysical Society, 1285-1288.
27 Cheng, A., and Zhang, J., 2001, Imagingcomplex structures with crosswell seismology, Expanded Abstract: SEG 70thAnnual Meeting in Houston, Texas, 483-486.
26 Zhang, Z., and J. Zhang, 2001, Acomparative study of 2D and 3D crosswell tomography, ASEG Extended Abstracts2001: 15th Geophysical Conference, 1-4.
25 ten Brink, US, J Zhang, TM Brocher, DAOkaya, KD Klitgord, GS Fuis, 2000. Geophysical evidence for the evolution ofthe California Inner Continental Borderland as a metamorphic core complex.Journal of Geophysical Research: Solid Earth 105 (B3), 5835-5857.
24 Zhang, J., and M. N. Toksoz, 1998.Nonlinear refraction traveltime tomography: Geophysics, 63, 5, 1726-1737.
23 Zhang, J., U. S. ten Brink and M. N.Toksoz, 1998. Nonlinear joint refraction and reflection traveltime tomography:J. Geophys. Res., 103, B12, 29, 743-757.
22 Zhang, J., 1998, Rapid 3D reflectionraytracing for interface models, Expanded Abstract: SEG 63rd Annual Meeting inDallas, Texas Houston, Texas, 1897-1899.
21 Zhang, J., and E. Lavely, 1998, Rapid 3Drefraction and reflection raytracing: Proceedings, SAGEEP, Chicago, Illinois,Environmental and Engineering Geophysical Society, 250-255.
20 Zhang, J., and E. Lavely, 1998, Optimizing3D refraction and reflection survey design: Proceedings, SAGEEP, Chicago,Illinois, Environmental and Engineering Geophysical Society, 125-130.
19 Zhang, J., and M. N. Toksoz, 1997, Jointrefraction traveltime migration and tomography: Proceedings, SAGEEP, Reno, Nevada, Environmental and Engineeringgeophysical Society, 901-910.
18 Zhang, J., and B. K. Macy, 1997,Refraction traveltime tomography of Bala Kimberlite in Riley County, Kansas:Proceedings, SAGEEP, Reno, Nevada, Environmental and Engineering GeophysicalSociety, 755-760.
17 Zhang, J., 1997, Regularizing data in 3-Dd.c. resistivity tomography: Proceedings, SAGEEP 1997, Reno, Nevada,Environmental and Engineering Geophysical Society, 911-915.
16 Zhang, J., and D. F. Morgan, 1997, Jointseismic and electrical tomography: Proceedings, SAGEEP 1997, Reno, Nevada,Environmental and Engineering Geophysical Society, 391-396.
15 Zhang, J., and D. F. Morgan, 1997,Detecting underground caves using joint seismic and electrical imaging method,Expanded Abstract: SEG 67th Annual Meeting in Dallas, Texas, 1905-1908.
14 Turpening, R., J. Zhang, C. Chauvelier, F.D. Morgan, M. N. Toks?z, J. Queen, and D. Cox, 1997, P- and S-wave tomographicimages of an oil reservoir at MIT’s Michigan Test Site, Expanded Abstract: SEG67th Annual Meeting in Dallas, Texas, 222-225.
13 Zhang, J. and C. A. Langston, 1996, Arrayobservations of the shear-coupled PL wave: Bull. Seism. Soc. Am., 86, 2, 47-54.
12 Zhang, J., D. L. Kutrubes, and M. N.Toksoz, 1996, High-resolution shallow seismic structure imaging usinggrid-based nonlinear refraction traveltime tomography: Proceedings, SAGEEP,Keystone, Colorado, Environmental and Engineering Geophysical Society, 209-214.
11 Zhang, J., W. Rodi, R. L. Mackie, and W.Shi, 1996, Regularization in 3-D dc resistivity tomography: Proceedings,SAGEEP, Keystone, Colorado, Environmental and Engineering Geophysical Society,687-692.
10 D. L. Kutrubes, J. Zhang, and J. Hager,1996, Conventional processing techniques and nonlinear refraction traveltimetomography for Imaging Bedrock at Eastern Massachusetts coastal site:Proceedings, SAGEEP, Keystone, Colorado, Environmental and EngineeringGeophysical Society, 215-220.
9 Zhang, J. and M. N. Toksoz, 1996,Nonlinear refraction traveltime tomography: SEG Technical Program ExpandedAbstracts, 2011-2014.
8 Shi, W., W. Rodi, R. L. Mackie, and J.Zhang, 1996, 3-D d.c. electrical resistivity inversion with application to acontamination site in the Aberjona Watershed: Proceedings. SAGEEP, Keystone,Colorado, Environmental and Engineering Geophysical Society, 1257-1266.
7 Zhang, J. and C. A. Langston, 1995,Dipping structure under Dourbes, Belgium, determined by receiver functionmodeling and inversion: Bull. Seism. Soc. Am., 85, 254-268.
6 Zhang, J., R. L. Mackie, and T. R.Madden, 1995, 3-D resistivity forward modeling and inversion using conjugategradients: Geophysics, 60, 1313-1325.
5 Zhang, J., and C. A. Langston, 1995,Constraints on oceanic lithosphere structure from deep‐focusregional receiver function inversions: J. Geophys. Res., 100, 22187-22196.
4 Cooper, A. K., G. Cochrane, J. Zhang,G. Brancolini, G. Pellis, and F. Egloff, 1995, The Antarctic crustal profileseismic project, Ross Sea, Antarctica: Antarctic Journal, 29, 5, 15-18.
3 Vedova, B. D., G. Pellis, H. Trey, J.Zhang, Cooper,A. K., Makris, J., ACRUP working group, 1995, Crustal structureof the Transantarctic Mountains, Western Ross Sea: VII ISAES Proceedings,Siena, Italy, 110-126.
2 Zhang, J., R. L. Mackie, and T. R.Madden, 1994. 3‐D resistivity forward modeling andinversion using conjugate gradients: SEG Technical Program Expanded Abstracts1994, 377-380.
1 Kutrubes, D. L., J. Zhang, and R. L.Mackie, 1994, Predictive deconvolution of GPR data using ProMAX: IEEE Dual Use Technologiesand Applications Conference Proceedings, SUNY Institute of Technology,Utica/Rome, New York, 439-446.