上海市高峰学科地球物理勘探技术高峰团队目前拥有教授8人、副教授1人、研究员2人、副研究员3人、工程师2人、博士后3人以及博士和硕士研究生40多人，其中4人入选国家级人才计划，9人入选省部级人才计划。团队面向海洋强国战略、国家能源发展战略、“双碳”战略以及向地球深部进军的战略，开展深层、深水常规与非常规油气（致密油气、页岩油气与天然气水合物）勘探地震波成像理论与方法研究、复杂非均质性储层地球物理表征、智能地球物理勘探、光纤地震勘探、海底四分量地震勘探以及CO2地质封存研究等。建有高温（200oC）高压（200Mpa）岩石弹性各向异性测量实验室、水合物声电联合测量实验室、地震波传播与成像实验室、地震数据处理与解释实验室以及岩矿实验室等。承担有国家重点研发计划项目、国家自然科学基金重点项目等重大科研任务。

28) 塔里木盆地超深复杂碳酸盐岩油气储层地震精细表征基础理论与方法(42330805)，国家自然科学基金重点项目，2024.01-2028.12。

27) 南海天然气水合物成藏机制与储层精细刻画，国家自然科学企业创新发展联合基金集成项目课题(U20B6005-01)，2021.01-2024.12。   

26) 海洋天然气水合物储量计算与评价技术规范(21DZ2207000)，上海市“科技创新行动计划”，2021.09-2024.09。

25) 基于模型与数据联合驱动的裂缝储层参数叠前反演，中国石化胜利油田分公司，2022.09-2023.12。

24) 深层油气储层地球物理分布预测(XDA14010203)，中国科学院战略性先导科技专项(A类)“智能导钻技术装备体系与相关理论研究”项目子课题，2017.01-2023.06。

23) 储层物性预测的模型与数据双驱融合方法研究，中国石化胜利油田分公司，2021.09-2023.06。

22) 西湖西斜坡含煤层系保幅提频地震优化处理关键技术研究，中海石油（中国）有限公司上海分公司，2022.07-2023.06。

21) 顺北奥陶系碳酸盐岩断控储集体地震岩石物理特征测试分析，中国石化西北油田分公司，2021.01-2022.06。  

20) 超深水海底飞行节点地震仪研发与油气勘探应用研究(2018YFC0310100)，国家重点研发计划项目，2018.08-2021.12。

19) 南黄海中、古生界复杂地质构造地震成像理论与方法(41630964)，国家自然科学基金重点项目，2017.01-2021.12。

18) 长江坳陷油气资源勘探潜力(2016ZX05027-001-008)，国家重大科技专项任务，2016.01-2020.12。

17) 油气样本扩充机理及适应性研究，中国石化胜利油田分公司，2018.10-2020.09。

16) 基于深度学习的地震资料信息提取技术研究，中国石油勘探开发研究院，2018.08-2019.07。

15) 天然气水合物储量参数估算研究(2017KZGL0118)，自然资源部油气资源战略研究中心，2018.04-2018.12。

14) 压制鬼波的理论方法与应用研究(41174106)，国家自然科学基金面上项目，2012.01-2015.12。

13) 渤中35-2油田储层地震预测方法研究，中海石油有限公司天津分公司，2014.06-2015.12。

12) 致密油气储层地震岩石物理特征研究，中国石油勘探开发研究院，2013.01-2015.12。

11) 宝浪苏木构造带提高深层系反射品质研究，中国石化河南油田分公司，2012.06-2013.12。

10) 南黄海中古生界地球物理采集处理基础理论与技术研究，中海石油(中国)有限公司上海分公司，2009.01-2010.12。

9) 大洋钻探站位调查关键技术研究(2008AA093001)，国家“863”计划课题，2008.06-2010.12。

8) 南方海相碳酸盐岩油气储层地震属性提取与油气地震响应研究(PH08006)，中国石化科技部，2008.01- 2010.12。

7) 南海东沙海域天然气水合物成藏动力学过程模拟(NCET-04-0370)，教育部新世纪优秀人才支持计划，2004.01- 2007.12。

6) 波动方程叠前时间偏移技术研究，中国石化河南油田分公司，2006.06-2007.05。

5) 海洋天然气水合物地震识别技术(2001AA611020/01)，国家“863”计划课题，2001.01-2005.12。

4) 波动方程叠前时间偏移与地震波照明分析技术研究，中国石化中原油田分公司，2004.06-2005.05。

3) 频散瑞雷波数值模拟与非线性滤波方法研究，上海市曙光计划，2000.01-2003.12。

2) 波动方程基准面延拓静校正方法研究，中国石化河南油田分公司，，2000.01- 2001.12。

1) 南海巽他陆架中新世以来层序地层学及海平面变化史(49806001)，国家自然科学青年基金项目，1999.01- 2001.12。

63) Jizhou Tang, MinZhang, Xuyang Guo, Jianhua Geng,Yuwei Li, Investigation of creep and transport mechanisms of CO2 fracturingwithin natural gas hydrates, Energy, 2024, 300:131214.

62) Tao Liu, Xueyang Bao, Jianhua Geng, Xiangyu Zhu, Anyu Li, andDongmei Tian, Estimation of Seismic Attenuation and Gas Hydrate ConcentrationFrom Surface Seismic Data at Hydrate Ridge, Cascadia Margin, Journal ofGeophysical Research: Solid Earth, 2024, 129:e2023JB027123.

61) Min Chen, Jianhua Geng, Luanxiao Zhao, A hybridnumerical model for coupled hydro-mechanical analysis during CO2 injection intoheterogeneous unconventional reservoirs, Gas Science and Engineering, 2024,124:205244.

60) Rui Gong, Jianhua Geng, Pengfei Yu, and XueyingHu, Can towed-streamer seismic data be used for elastic wave imaging? Syntheticand field data examples, Geophysics, 2024, 89(3): S175–S194.

59) Luanxiao Zhao,Xuanying Zhu, Xiangyuan Zhao, Yuchun You, Minghui Xu, Tengfei Wang,

andJianhua Geng, Deep carbonatereservoir characterization using multiseismic attributes: A comparison ofunsupervised machine-learning approaches, Geophysics, 2024, 89(2):B65–B82.

58) Shuliang Wu,Yingying Wang, Qingping Li, Zhiliang He, and Jianhua Geng, Joint data-driven and physics-driven prestackamplitude-variation-with-angle elastic parameter inversion, Geophysics, 2024,89(1): R17–R32.

57) Luanxiao Zhao,Jingyu Liu, Minghui Xu, Zhenyu Zhu, Yuanyuan Chen, and Jianhua Geng, Rock-physics-guided machine learning for shear soniclog prediction, Geophysics, 2024, 89(1): D75–D87.

56) Luanxiao Zhao,Jinwan Zhu, Xuan Qin, Rui Gong, Zhenjia Cai, Fengshou Zhang, De-hua Han, Jianhua Geng, Joint geochemisty-rockphysics modeling: Quantifying the effects of thermal maturity on the elasticand anisotropic properties of organic shale, Earth-Science Reviews, 2023,247:104627.

55) Xin Zhang,Qingping Li, Lixia Li, Qi Fan, JianhuaGeng, Combination of sonic wave velocity, density andelectrical resistivity for joint estimation of gas-hydrate reservoir parametersand their uncertainties, Advances in Geo-Energy Research, 2023, 10(2): 133-140.

54) Dingdian Yan,Luanxiao Zhao, Yang Wang, Yonghao Zhang, Zhenjia Cai, Xuehang Song, FengshouZhang, Jianhua Geng, Heterogeneityindexes of unconventional reservoir shales: Quantitatively characterizingmechanical properties and failure behaviors, International Journal of RockMechanics and Mining Sciences, 2023, 171:105577.

53) 耿建华, 赵峦啸, 麻纪强, 朱津琬, 姚秋粮, 高志前, 何治亮, 超深碳酸盐岩油气储层岩石弹性性质高温高压超声实验研究, 地球物理学报，2023(9): 3959-3974.

52) Shuai Sun, Luanxiao Zhao,Huaizhen Chen, Zhiliang He, and JianhuaGeng, Pre-stack seismic inversion for elastic parameters usingmodel-data-driven generative adversarial networks, Geophysics, 2023,88(2):M87–M103.

51) Zhiwei Gu, LiurongTao, Haoran Ren, Ru-Shan Wu, JianhuaGeng, Inverse-Scattering Theory Guided U-Net Neural Networks for InternalMultiple Elimination, IEEE Transactions on Geoscience and Remote Sensing, 2023,61: 5902814.

50) 朱峰，程玖兵，王腾飞，耿建华，利用最小平方基准面延拓压制自由表面多次波II：海洋拖缆观测数据, 地球物理学报, 2023, 66(2):760-773.

49) 赵峦啸, 麻纪强，李珂缄，朱津琬，高志前，何治亮，耿建华，超深层碳酸盐岩储层地震岩石物理特征和模型表征, 地球物理学报, 2023, 66(1):16-32。

48) 王腾飞，程玖兵，朱峰，伍新明，徐蔚亚，耿建华,超深层目标随钻测井引导的动态地震成像, 地球物理学报, 2023, 66(1):54-64.

47) Yirong Wang, LuanxiaoZhao, Zhifang Yang, Hong Cao, Junxin Guo, and Jianhua Geng, Rock-physics modeling of elastic properties ofmultiscale fractured rocks, Geophysics, 2023, 88(6): MR289–MR304.

46) Shunli Gao,Minghui Xu, Luanxiao Zhao, Yuanyuan Chen, and Jianhua Geng, Seismic predictions of fluids via supervised deeplearning: Incorporating various class-rebalance strategies, Geophysics, 2023,88(4): M185–M200.

45) Luanxiao Zhao,Zhenjia Cai, Xuan Qin, Yang Wang, Teng Long, De-Hua Han, Fengshou

Zhang,and Jianhua Geng, An empiricalelastic anisotropy prediction model in self-sourced reservoir shales and itsinfluencing factor analysis, Geophysics, 2023, 88(3): MR117–MR126.

44) Caifeng Zou,Luanxiao Zhao, Fei Hong, Yirong Wang, Yuanyuan Chen, and Jianhua Geng, A comparison of machine learning methods to predictporosity in carbonate reservoirs from seismic-derived elastic properties,Geophysics, 2023, 88(2): B101–B120.

43) Pengfei Yu,Mingzhi Chu, Yunxia Xu, Baojin Zhang, and JianhuaGeng, Joint elastic reverse time migration of towed streamer and sparseocean-bottom seismic node hybrid data, Geophysics, 2023, 88(1):S47–S57.

42) Shuai Sun,Junguang Nie, Benfeng Wang, Luanxiao Zhao, Zhiliang He, Hong Zhang, Dong Chen, Jianhua Geng, Generating completesynthetic datasets for high-resolution amplitude-versus-offset attributes deeplearning inversion, Geophysical Prospecting, 2023:1-23.

41) Rui Gong, YingyingWang, Jianhua Geng, A deep learningapproach to separating scattered direct waves from reflection seismic records onrugged surface: Synthetic data examples, Geophysical Prospecting, 2022, 1-15. DOI:10.1111/1365-2478.13250.

40) Junguang Nie,Xuehui Han, Jianhua Geng,Temperature-dependent rock physics modeling for heavy oil sands, Journal ofPetroleum Science and Engineering, 2022, 215:110642.

39) Wenjun He and Jianhua Geng, Elimination offree-surface-related multiples by combining Marchenko scheme and seismicinterferometry, Geophysics, 2022, 87(3):Q1–Q14.

38) Shuliang Wu,Benfeng Wang, Luanxiao Zhao, Huaishan Liu, JianhuaGeng, High-efficiency and high-precision seismic trace interpolation forirregularly spatial sampled data by combining an extreme gradient boostingdecision tree and principal component analysis, Geophysical Prospecting, 2022,1-18. DOI:10.1111/1365-2478.13270.

37) Bo Zhang, Jianhua Geng, High-EfficiencyPrediction of Surface-Related Multiples by Inverse Scattering Series in theCurvelet Domain, Pure and Applied Geophysics, 2022, 179:2201–2214.

36) Minghui Xu,Luanxiao Zhao, Shunli Gao, Xuanying Zhu, and Jianhua Geng, Joint use of multiseismic information for lithofaciesprediction via supervised convolutional neural networks, Geophysics, 2022,87(5):M151-M162.

35) Yirong Wang,Luanxiao Zhao, Chenghao Cao, Qiuliang Yao, Zhifang Yang, Hong Cao, and Jianhua Geng, Wave-induced fluidpressure diffusion and anelasticity in partially saturated rocks: Theinfluences of boundary conditions, Geophysics, 2022, 87(5):MR247-MR263.

34) Yingying Wang,Liping Niu, Luanxiao Zhao, Benfeng Wang, Zhiliang He, Hong Zhang, Dong Chen,and Jianhua Geng, Gaussian mixturemodel deep neural network and its application in porosity prediction of deepcarbonate reservoir, Geophysics, 2022, 87(3):M59–M72

33) Yang Wang,Luanxiao Zhao, De-Hua Han, Qianqian Wei, Yonghao Zhang, Hemin Yuan, and Jianhua Geng, Experimentalquantification of the evolution of the static mechanical properties of tightsedimentary rocks during increasing-amplitude load andunload cycling,Geophysics, 2022, 87(2):MR73-MR83.

32) Wencai Xu, TengfeiWang, Jiubing Cheng, and Jianhua Geng,Hessian-based reflection waveform inversion: Theory and applications tosynthetic and field data, Geophysics, 2021, 86(5):R747-R762.

31) Junguang Nie,Zhipeng Qu, Yuanfeng Cheng, Xingmou Wang,Jianbing Zhu, Shuai Sun, Luanxiao Zhaoand Jianhua Geng, Diagnosing of claydistribution in argillaceous sandstone by a rockphysics template, GeophysicalProspecting, 2021,69:1700-1715.

30) Tengfei Wang,Jiubing Cheng, and Jianhua Geng,Reflection Full Waveform Inversion With Second-Order Optimization Using theAdjoint-State Method, Journal of Geophysical Research-Solid Earth, 2021, 126:e2021JB022135.

29) Caifeng Zou,Luanxiao Zhao, Minghui Xu, Yuanyuan Chen, and Jianhua Geng, Porosity Prediction With Uncertainty QuantificationFrom Multiple Seismic Attributes Using Random Forest, Journal of Geophysical Research-SolidEarth, 2021, 126:e2021JB021826.

28) Luanxiao Zhao,Caifeng Zou, Yuanyuan Chen, Wenlong Shen, Yirong Wang, Huaizhen Chen, and Jianhua Geng, Fluids and lithofaciesprediction based on integration of well-log data and seismic inversion: amachine learning approach, Geophysics, 2021, 86(4): M151-M165.

27) Benfeng Wang,  Jiakuo Li, Jingrui Luo, Yingying Wang, JianhuaGeng, Intelligent deblending of seismic data based on U-net and transferlearning, IEEE Transactions on Geoscience and Remote Sensing, 2021,doi:10.1109/TGRS.2020.3048746.

26) Luanxiao Zhao,Yirong Wang, Qiuliang Yao, Jianhua Geng,Hui Li, Hemin Yuan, and De-hua Han, Extended Gassmann equation with dynamicvolumetric strain: Modeling wave dispersion and attenuation of heterogeneousporous rocks, Geophysics, 2021, 86(3):MR149-MR164.

25) Yuzhu Liu, XinquanHuang, Jizhong Yang, Xueyi Liu, Bin Li, Liangguo Dong, Jianhua Geng, and Jiubing Cheng, Multiparameter model building forthe Qiuyue structure using 4C ocean-bottom seismometer data, Geophysics, 2021,86(5): B291-B301.

24) Muhammad Abid,Liping Niu, Jiqiang Ma, Jianhua Geng,Unconventional reservoir characterization and sensitive attributesdetermination: A case study of the Eastern Sembar Formation, Lower Indus Basin,Pakistan, Geophysics, 2021, 86(1): B1-B14.

23) Liping Niu, Jianhua Geng, Xinming Wu, LuanxiaoZhao, Hong Zhang, Data-driven method for an improved linearised AVO inversion,Journal of Geophysics and Engineering, 2021, 18: 1-22.

22) 赵峦啸, 刘金水, 姚云霞, 钟锴, 麻纪强, 邹采枫, 陈远远, 付晓伟, 朱晓军, 朱伟林, 耿建华, 基于随机森林算法的陆相沉积烃源岩定量地震刻画：以东海盆地长江坳陷为例, 地球物理学报, 2021, 64(2): 700-715.

21) 刘学义, 程玖兵, 王腾飞, 耿建华, 刘玉柱, 低信噪比海底多分量地震数据波场分离方法, 地球物理学报, 2021, 64(2): 684-699.

20) Jingkang Yang, Jianhua Geng, Luanxiao Zhao, Afrequency-decomposed nonstationary convolutional model foramplitude-versus-angle-and-frequency forward waveform modeling in attenuativemedia, Geophysics, 2020, 85(6): T301-T314.

19) Yuan Wang, ZhiweiLi, Jianhua Geng, Qingyu You, TianyaoHao, Yaoxing Hu, Chunlei Zhao, Yan Zhang, Yuzhu Liu, Seismic imaging of S-wavestructures of shallow sediments in the East China Sea using OBN multicomponentScholte-wave data, Geophysics, 2020, 85(6): EN87-EN104.

18) Yingying Wang,Benfeng Wang, Ning Tu, Jianhua Geng,Seismic trace interpolation for irregularly spatial sampled data usingconvolutional autoencoder, Geophysics, 2020, 85(2): V119-V130.

17) Muhammad Abid, Jianhua Geng, Effective AttributesQuantification to Bridge Gap between Elastic Properties and ReservoirParameters in Self-Resource Rocks, Scientific Reports, 2020, 10: 1-14.

16) Luanxiao Zhao,Chenghao Cao, Qiuliang Yao, Yirong Wang, Hui Li, Hemin Yuan, Jianhua Geng, Gassmann Consistency forDifferent Inclusion-based Effective Medium Theories: Implications for Elasticinteractions and Poroelasticity, Journal of Geophysical Research-Solid Earth,2020, 125(3): 1-19.

15) Luanxiao Zhao,Yang Wang, Xiwu Liu, Jinqiang Zhang, Yuwei Liu, Xuan Qin, Kejian Li, Jianhua Geng, Depositional impact on theseismic elastic characteristics of the organic shale reservoir: A case study ofLongmaxi-Wufeng shale in Fuling gas field, Sichuan Basin, Geophysics, 2020,85(2): B23-B33

14) Benfeng Wang, Jianhua Geng, Efficient deblending inthe PFK domain based on compressive sensing, IEEE Transactions on Geoscienceand Remote Sensing, 2020, 58(2): 995-1003.

13) Pengfei Yu, Jianhua Geng, Analytic Acoustic–ElasticCoupled Equations and Their Application in Vector-Wave-Based Imaging of OceanBottom 4C Data, Pure and Applied Geophysics, 2020, 177: 961-975.

12) Benfeng Wang, NingZhang, Wenkai Lu, Jianhua Geng,Xueyuan Huang, Intelligent missing shots reconstruction by using the spatialreciprocity of the Green function based on deep learning, IEEE Transactions on Geoscienceand Remote Sensing, 2020, 58(3): 1587-1597.

11) Pengfei Yu, Jianhua Geng, Acoustic-elastic coupledequations in vertical transverse isotropic media for pseudoacoustic-wavereverse time migration of ocean-bottom 4C seismic data, Geophysics, 2019,84(4):S317–S327.

10) Luanxiao Zhao,Xuan Qin, Jinqiang Zhang, Xiwu Liu, De-hua Han, Jianhua Geng, Yineng Xiong, An effective reservoir parameter forseismic characterization of organic shale reservoir, Surveys in Geophysics,2019, 39(3): 509-514.

9) Pengfei Yu, Jianhua Geng, Analytic Acoustic–ElasticCoupled Equations and Their Application in Vector-Wave-Based Imaging of OceanBottom 4C Data, Pure and Applied Geophysics, 2019,  177:961–975.

8) Benfeng Wang,Yingqiang Zhang, Wenkai Lu, Jianhua Geng,A Robust and Efficient Sparse Time-Invariant Radon Transform in the MixedTime-frequency domain, IEEE Transactions on Geoscience and Remote Sensing,2019, 57(10): 7558-7566.

7) Pengfei Yu, Jianhua Geng, Jiqiang Ma,Vector-wave-based elastic reverse time migration of ocean-bottom 4C seismicdata, Geophysics, 2018, 83(4): S333-S343.

6) 耿建华，朱伟林，高顺莉，张敏强, 基于地震模拟数据分析的南黄海前新生代地震成像问题与对策探讨, 海洋地质与第四纪地质, 2018, 38(3):35-44。

5) Luanxiao Zhao,Hemin Yuan, Jingkang Yang, De-hua Han, JianhuaGeng, Rui Zhou, Hui Li, Qiuliang Yao, Mobility Effect on PoroelasticSeismic Signatures in Partially Saturated Rocks with Applications in Time-lapsMonitoring of a Heavy Oil Reservoir, Journal of Geophysical Research-SolidEarth, 2017, 122(12): 8872-8891.

4) Luanxiao Zhao,Qiulinag Yao, De-hua Han, Rui Zhou, JianhuaGeng, Hui Li, Frequency-and angle-dependent poroelastic seismic analysisfor highly attenuating reservoirs, Geophysical Prospecting, 2017, 65(6):1630-1648.

3) Pengfei Yu, Jianhua Geng, Xiaobo Li, Chenlong Wang,Acoustic-elastic coupled equation for ocean bottom seismic data elastic reversetime migration, Geophysics, 2016, 81(5):S333-S345.

2) Pengfei Yu, Jianhua Geng, Chenlong Wang, Separatingquasi-P-wave in transversely isotropic media with a vertical symmetry axis bysynthesized pressure applied to ocean-bottom seismic data elastic reverse timemigration, Geophysics, 2016, 81(6):C295-C307.

1) Luanxiao Zhao, XuanQin, De-Hua Han, Jianhua Geng,Zhifang Yang, Hong Cao, Rock-physics modeling for the elastic properties oforganic shale at different maturity stages, Geophysics, 2016, 81(5): D527-D541.

同济大学师德师风优秀教师(2022)

同济大学优秀博士论文导师(2021)

国务院政府特殊津贴专家(2020)

同济大学十三五科研工作先进个人(2020)

上海市育才奖(2009)

国土资源科学技术二等奖(2008)

教育部新世纪优秀人才(2004)

上海市科技进步二等奖(2002)

上海市曙光学者(2000)

•地球物理学概论(本科生)

•岩石物理学(本科生)

•地震数据处理(本科生)

•储层地球物理学(硕士研究生)

•地球物理学进展(博士研究生)