
廖宗湖,博士,中国石油大学(北京)地球科学学院油气勘探与开发地质系教授、博士生导师,兼任经济管理学院金融系教授,中葡气候与能源联合研究院院长,国家重点研发计划政府间国际科技创新合作重点专项项目负责人。
主要从事油气构造地质研究,同时关注人工智能等新兴技术在油气行业的交叉应用。在EPSL、Tectonophysics、AAPG Bulletin等国际主流期刊上发表论文30余篇、会议50余次,发表《Applied Seismic Geostructures》等3部著作,获教育部科技进步一等奖、人工智能学会华为学术奖励金等奖励。
廖宗湖长期推动国际科技合作和学科交叉平台建设。2014年回国入职中国石油大学(北京)从事教学科研工作,曾兼任清华大学遥感大数据中心执行副主任、清华物联网遥感大数据联合研究中心执行副主任。长期深耕学科交叉平台建设与国际科技合作,现依托中葡气候与能源联合研究院,兼任全球气候创新中心(GCIC)理事及高级顾问,推动学校与葡语国家在气候变化、绿色能源、人工智能、青年人才培养等领域的合作。
研究方向
• 油气构造地质、断裂损伤带与多尺度裂缝系统;
• 深部断层(<8km)三维地震属性和AI智能解释、储层裂缝表征与深部油气藏评价;
• 盖层破裂机制、封盖完整性、二氧化碳封存与泄漏监测;
• 人工智能与能源交叉,包括气候与能源数据分析、能源金融、区块链金融与大宗商品风险管理等交叉方向。
教育与工作经历
• 2004.09—2008.07,福州大学环境与资源学院,获工学学士学位;
• 2008.08—2012.05,美国俄克拉荷马大学能源学院,获硕士学位;
• 2012.06—2013.12,美国俄克拉荷马大学能源学院,获博士学位;
• 2013.12—2014.05,美国俄克拉荷马州地质调查局,研究科学家;
• 2014.05至今,中国石油大学(北京)地球科学学院任教,历任副教授、教授、博士生导师;
• 2016.09—2018.05,兼任清华大学遥感大数据中心执行副主任、清华物联网遥感大数据联合研究中心执行副主任;
• 2021年起,兼任中国石油大学(北京)经济管理学院金融系副教授、教授,区块链金融研究中心主任;
• 2024 年起,担任中葡气候与能源联合研究院院长。
代表性科研项目
• 国家重点研发计划“政府间国际科技创新合作”重点专项项目,2024.12—2027.11,主持;
• 国家自然科学基金委员会国际(地区)合作项目,2021.10—2024.09,主持;
• 国家自然科学基金委员会青年科学基金项目,2017.01—2019.12,主持;
• 国家重点研发计划子课题,2020.06—2023.06,主持;
• 国家自然科学基金委员会联合基金项目,2016.01—2019.12,参与;
• 中国科学院战略性先导科技专项(A类),2017.06—2022.06,参与。
课程和著作
主讲研究生慕课《Seismic Attributes and Intelligent Interpretation》。出版《Applied Seismic Geostructures》(Springer,2024)、《元宇宙金融基础设施:DeFi九讲》(机械工业出版社,2022)、《Seismic Interpretation》(哈尔滨工业大学出版社,2021)等著作。
奖励与荣誉
• 2023年,入选自然资源部高层次科技创新人才工程青年科技人才;
• 2022年,获教育部科学技术进步奖一等奖;
• 2021年,入选中国石油大学(北京)首批“石大学者”;
• 2017年,获北京市科学技术奖二等奖;
• 2015年,入选中国石油大学(北京)青年拔尖人才。
人才培养与招生
已培养硕士生和博士生50余名, 获评学校优秀实习导师、金牌就业导师等; 长期欢迎具有编程、人工智能、地球物理、构造地质、岩石力学、能源经济与金融等背景的博士后、博士研究生、硕士研究生和本科生联系交流。
学术服务与社会服务
• 全球气候创新中心(GCIC)理事兼高级顾问;
• 中国石油大学(北京)经济管理学院区块链金融研究中心主任;
• 中国岩石力学与工程学会高温高压专委会委员;
• 中国地震学会岩石物理专委会委员;
• 中国石油大学—上海期货交易所金融实验室发起人之一;
• Journal of Palaeogeography副主编;
• Interpretation专刊主编;
• Applied Sciences专刊主编;
• Petroleum Science青年编委;
• 《石油科学通报》青年编委
• 《中国石油大学学报(社会科学版)》青年编委;
联系方式与相关链接
• 电子邮箱:zonghuliao@163.com;zong@cup.edu.cn
• 网站:https://www.jrice.cup.edu.cn 或 https://nft.cup.edu.cn
学术论文与会议论文清单
Papers:
[1] Cheng, Y., R. Bürgmann, T. Taira, Z. Liao, R. M. Allen (2026), Stress Model of California: Fault-Stress Interactions Across a Complex Plate Boundary System From Focal Mechanisms of Small Earthquakes. Journal of Geophysical Research: Solid Earth, 131(5), e2025JB032164. https://doi.org/10.1029/2025JB032164.
[2] Zhang, L., Y. Li, Q. Duan, S. Deng, N. Yang, H. Zou, J. Chen, Z. Liao (2026), Deep permeability architecture of a detachment fault: Constraints from in situ borehole samples in Triassic evaporite-carbonate sequences beneath the frontal Longmen Shan, China. Tectonophysics, 918, 230970. https://doi.org/10.1016/j.tecto.2025.230970.
[3] Zhang, L., T. Guo, D. Zhu, Z. Reches, S. Deng, H. Zou, F. Hao, Z. Liao (2026), Fluid migration through fault damage zones in Sichuan Basin, China. Geophysics, 91(1), ID1-ID10. https://doi.org/10.1190/GEO-2025-0124.
[4] Yang, N., R. Wang, X. Chen, Z. Liao (2025), Fluid migration and permeability in evolving fault damage zones: a study of carbonate reservoir from Qingzhou, eastern China. New Zealand Journal of Geology and Geophysics, 68(5), 971-982. https://doi.org/10.1080/00288306.2025.2519724.
[5] Yuan, S., R. Wang, X. Huang, B. M. Carpenter, K. J. Marfurt, Z. Liao (2025), Seismic attributes and fault-fold systems: A case study of quantitative analysis of coal seams in the Southern Qinshui Basin, China. Interpretation, 13(3), 1-37. https://doi.org/10.1190/INT-2024-0104.1.
[6] Wang, M., G. Luo, F. Qin, Z. Liao, S. Zhou, N. Yang (2023) Numerical Simulation of Pore Pressure Change Caused by Hydrocarbon Generation in Chezhen Sag and Its Influence on Hydrocarbon Accumulation. Processes, 2023-07-01
[7] Liao, Z.*, L. Zhang, H. Zou, F. Hao, Z. Reches (2023), Damage stratigraphy as a controlling mechanism of earthquakes distribution and fault patterns. Tectonophysics,229261.
[8] Jian, S., Li-Yun Fu*, Z. Liao, W. Deng, Q. Du (2022), Elastic characteristics of fault damage zones within superdeep carbonates in Tarim Basin, Northwest China. Journal of Geophysics and Engineering, 19(4), 650–662.
[9] Zhang, L., Z. Liao*, K. Long, B. M. Carpenter, H. Zou, F. Hao (2022), Fundamental constraints of lithologically-controlled fault networks on gas migration and accumulation for fractured carbonates in the western Sichuan Basin, China. Journal of Petroleum Sciences and Engineering, 208, Part C, 109502.
[10] Liao, Z., W. Chen, W. Li, H. Liu, H. Zou, F. Hao (2020) Fault-fracture systems of the Xujiahe tight sandstone in the Northeast Sichuan Basin, Part I: Distribution of fault damage zones. Petroleum Science Bulletin, 04: 441-448 (In Chinese).
[11] Liao, Z., R. Fan, W. Li, W. Chen, H. Liu, H. Zou, F. Hao (2020) Fault-fracture systems of the Xujiahe tight sandstone in the Northeast Sichuan Basin, Part II: Structure characteristics of fault damage zones. Petroleum Science Bulletin, 04: 449-457 (in Chinese).
[12] Liao, Z., S. Deng, X. Chen, M. Wu, Y. Kang, L. Zeng, H. Zou (2020), Fracture behavior of Longmaxi Shale with implications for subsurface applications. Interpretation, 8(4), 1-20.
[13] Chen, Y., Z. Liao*, L.-Y. Fu, G. Zhou, L. Xu, K.J. Marfurt, X. Mu, H. Zou (2020), Effect of main frequencies on characterizing fault damage-zones using forward modeling and attribute of variance. Interpretation, 8(4), 1-44.
[14] Liao, Z.*, L. Zhang, L. Wen, L. Zeng (2020), Collapse columns in Permian and Carboniferous Formations of coal, Qinshui Basin, China. Interpretation, 8(4), 1-14.
[15] Liao, Z.*, W. Li, H. Zou, F. Hao, K. Marfurt, Z. Reches (2020), Composite damage zones in the subsurface. Geophysical Journal International, 222: 225–230.
[16] Liao, Z., M. Wu, X. Chen*, H. Zou (2020), Fracture mechanical properties of carbonate and evaporite caprocks in Sichuan Basin, China with implications for reservoir seal integrity. Marine and Petroleum Geology, doi.org/10.1016/j.marpetgeo.2020.104468
[17] Liao, Z.*, L. Hu, X. Huang, B. Carpenter, K. Marfurt, S. Vasivela, Y. Zou (2020), Characterizing damage zones of normal faults using seismic variance in the Wangxuzhuang oilfield, China. Interpretation, 8(4): http://dx.doi.org/10.1190/INT-2020-0004.1.
[18] Liao, Z., L. Fu, L. Zeng, H. Zou, X. Chen, B.M. Carpenter, F. Hao (2020), Introduction to special section: Seismic interpretation of fractures in deep subsurface. Interpretation, 8 (4), 1-5
[19] Liao, Z.*, W. Chen, X. Chen, H. Zou, F. Hao (2020), Multiscale fracture and damage zone characterization in a tight sandstone reservoir, Sichuan Basin, China. Interpretation, 8(4): 1-11. http://dx.doi.org/10.1190/INT-2019-0107.1.
[20] Liao, Z.*, and Z. Reches (2019), An experimentally-based friction law for high-velocity, long-displacement slip-pulse events during earthquakes. Earth and Planetary Science Letters, 515:209-220.
[21] Liao, Z.*, H. Liu, B. Carpenter, K. Marfurt, and Z. Reches (2019), Analysis of fault damage-zones by using 3D seismic coherence in Anadarko Basin, Oklahoma. AAPG Bulletin, DOI:10.1306/1219181413417207
[22] Liao, Z.*, N. Gupta, Z. Reches, and K. Marfurt (2017), Fault damage zone at subsurface: a case study using 3D seismic attributes and clay model from the Anadarko Basin, Oklahoma. Interpretation, 5 (2), T143-T150.
[23] Liao, Z.*, Z. Reches, G. Paton, V. Lyakhovsky, A. Ouenes, H. Cao, and S. Busetti (2017), Introduction to special section: Fault damage zones. Interpretation, 5 (4), SPi-SPi.
[24] Lyu, W., L. Zeng, Z. Liao, Y. Ji, P. Lyu, S. Dong (2017), Fault damage zone characterization in tight-oil sandstones of the Upper Triassic Yanchang Formation in the southwest Ordos Basin, China: Integrating cores, image logs, and conventional logs. Interpretation, 5(4), doi.org/10.1190/INT-2016-0231.1
[25] Yan, R., L. Zeng, X. Zhao, Z. Liao, and M. Chen (2016), Fracture development characteristics and its formation mechanism in Lower Member 1 Shahejie biolithite reservoir, Z oilfield, Bohai Bay. Chinese Journal of Geology, 51(2):484-493 (in Chinese).
[26] Liao, Z., J. Chang, and Z. Reches (2014), Fault strength evolution during high velocity friction experiments with slip-pulse and constant-velocity loading. Earth and Planetary Science Letters, 406:93-101.
[27] Liao, Z., Y. Hong, D. Kirschbaum, R. Adler, J. Gourley, and R. Wooten (2011), Evaluation of TRIGRS’s Predictive Skill for Hurricane-triggered Landslides: A Case Study in Macon County, North Carolina. Natural Hazards., 58(1), 325-339.
[28] Liao, Z., Y. Hong, J. Wang, H. Fukuoka, K. Sassa, D. Karnawati, and F. Fathani (2010), Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets. Landslides, 7(3): 317-324.
[29] Liao, Z., Y. Hong, D. Kirschbaum, and C. Liu (2010), Assessment of shallow landslides from hurricane Mitch in central America using a physically based model. Environmental Earth Sciences, 66(6), 1697-1705.
Conference Abstracts and Papers
[1] Chen, S., J. Zhang, Z. Liao (2024), Prototyping an Explainable Artificial Intelligence Model (XLSTM) for Forecasting the Bitcoin Price. 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT), Nov. 2024. DOI: 10.1109/ACAIT63902.2024.11022176.
[2] Yang, S., X. Liu, R. Wang, Z. Liao (2024), Exploring How Geopolitical Risks Shape Crude Oil Price Dynamics. 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT), Nov. 2024. DOI: 10.1109/ACAIT63902.2024.11022255.
[3] Yang, N., Z. Liao (2024), Geometrical characteristics of buried fault damage zones in the Bohai Basin, eastern China. EGU General Assembly 2024, Vienna, Austria, 14-19 Apr. 2024, EGU24-9839. https://doi.org/10.5194/egusphere-egu24-9839.
[4] Zhang, J., S. Chen, F. Sun, Z. Liao (2024), Is machine learning interpretable for Bitcoin price forecasting? 2024 China Fintech Research Conference, CFTRC2024, Shanghai, April 20-21 (submitted).
[5] Sheng, F., Z. Liao (2024), Financial risk spillover effects among China's crude oil futures market, stock market, and bond market during the Covid-19 pandemic, 16th International Conference on Modern Research in Management Economics and Accounting, Berlin, Mar. 14-16 (Virtual).
[6] Zhang, J., S. Chen, Z. Liao (2024), Machine learning reveals the width of fault damage zones in northeast Sichuan Basin, EGU General Assembly 2024, Vienna, April 14-19 (submitted).
[7] Yang, N., Z. Liao (2023), Internal structure and permeability of fault damage zones in carbonate rocks: A case study of strike-slip fault in Qingzhou area, Shandong Province, China. Poster in AGU Fall Meeting Abstracts, Dec. 12-15 (Virtual).
[8] Chen, S., S. Yang, Z. Liao (2023), Characterizing the Price Movements of Bitcoin using an Interpretable CNN-LSTM Model, CCF China Blockchain Technology and Application Summit Forum, Hainan, CN, Dec. 15.
[9] Zhang, J., F. Sheng, Z. Liao (2023), Agent interpretation and price prediction of cryptocurrency using a LIME-based algorithm, CCF China Blockchain Technology and Application Summit Forum, Hainan, CN, Dec. 15 (accepted).
[10] Chen, S., J. Zhang, Z. Liao (2023), Forecasting the price of Bitcoin using an explainable CNN-LSTM model, 2023 Bench Council International Symposium on Intelligent Computers, Algorithms, and Applications, Sanya, CN, Dec. 5 (accepted).
[11] Wang, M., Z. Liao, G. Luo, etc (2022), The formation mechanism of pore fluid overpressure in the Chezhen Depression and its implications for oil and gas migration and accumulation, Proceedings of the 2022 China Earth Science Joint Academic Annual Conference, Beijing Botong Electronic Publishing House, 2022:14. DOI: 10.26914/c.cnkihy.2022.084584.
[12] Jian, S., L. Fu, Z. Liao, Z. Wang (2022), Tthe study on the elastic characteristics of fractured zones in ultra-deep carbonate reservoirs, Proceedings of the 2022 China Earth Science Joint Academic Annual Conference - Topic 31: Progress in Theory and Methods of Seismic Wave Exploration for Deep Earth Resources, DOI:10.26914/c.cnkihy.2022.083168
[13] Zhang, L., D. Zhu, S. Deng, Z. Liao, H. Zou, K. Long (2021), Fluid communication within dolostone reservoir in the Middle Triassic Leikoupo Formation constrained by Pengxian fault damage zone: A case study using comprehensive methods for the western Sichuan Basin, China. In AGU annual meeting (Vol. 2021, pp. T55C-0091).
[14] Zhang, L., Z. Liao, D. Zhu, S. Chen, H. Zou (2021), 3-D fault architecture in Pengxian thrust, eastern of the Longman Shan Range, China. In AGU Fall Meeting Abstracts (Vol. 2021, pp. T55C-0090).
[15] Zhou, Y., S. Chen, Z. Liao, H. Chen, Y. Zhao, F. Niu (2020), Preliminary analysis of seismic tectonic background and fault rupture mechanism in Weiyuan Shale gas development zone, Proceedings of the 2020 China Earth Science Joint Academic Annual Conference, Chongqing China, DOI 10.26914/c.cnkihy.2020.060986.
[16] Deng, S., Z. Liao, X. Chen, H. Zou (2020), Fracture behavior of the Longmaxi Shale with implications for reservoir evaluation, poster presentation at AGU annual meeting, San Francisco, Calif., 16 Dec.
[17] Liao, Z., W. Chen, H. Zou (2020), Characterization of fault-fracture system for tight sandstone reservoirs in Sichuan Basin, China, poster presentation at AGU annual meeting, San Francisco, Calif., 16 Dec.
[18] Zhang, L., K. Long, H. Zou, Z. Liao (2020), Mapping Subsurface Fault Networks by Using 3D Seismic Attributes: A Case Study in Sichuan Basin, China, poster presentation at AGU annual meeting, San Francisco, Calif., 16 Dec.
[19] Chen, Y., Z. Liao, L. Fu, and H. Zou (2020), Characterization of fault damage zones by using seismic coherence and different main frequencies, poster presentation at AGU annual meeting, San Francisco, Calif., 14 Dec.
[20] Liao, Z., M. Wu., X. Chen, H. Zou (2019), Mechanical properties of sub-critical fractures within carbonate and evaporate: implications for caprock integrity in Sichuan Basin, China, American Geophysical Union, Fall Meeting 2019, abstract #H33N-2171.
[21] Wu, M., Z. Liao, X. Chen, and B. Carpenter (2019), The mechanical properties of fractures in carbonate and evaporite caprocks from the Sichuan Basin, China: Implications for seal integrity in deep gas reservoirs, University of Oklahoma Spring Symposium, Norman, O.K., 13-14 Apr.
[22] Reches, Z., and Z. Liao (2016), An Experimentally-based Friction Law of Earthquake Rupture, oral presentation at AGU annual meeting, San Francisco, Calif., 12-16 Dec.
[23] Reches, Z., Z. Liao, and Y. Boneh (2016) Energy dissipation and fault slip kinematics: Effects of velocity history, poster presentation at AGU annual meeting, San Francisco, Calif., 12-16 Dec.
[24] Liao, Z., N. Gupta, K. Marfurt, and Z. Reches (2013), Characterizing a fault-zone and associated fractures using lab experiments and attribute-based seismic analysis: an example from Woodford Shale, Anadarko basin, Oklahoma, SEG Technical Program Expanded Abstracts 2013: 1416-1420. doi: 10.1190/segam2013-0656.1.
[25] Liao, Z., Z. Reches (2014), Frictional strength evolution during earthquake-like shear experiments, EGU annual meeting, Vienna, Austria, 27 Apr.-02 May.
[26] Liao, Z., J. Chang, and Z. Reches (2013), Dynamic rupture simulation with an experimentally-determined friction law leads to slip-pulse propagation, oral presentation at AGU Fall Meeting, San Francisco, Calif., 8-14 Dec.
[27] Liao, Z., N. Gupta, K. Marfurt, and Z. Reches (2013), Characterizing a fault-zone and associated fractures using lab experiments and attribute-based seismic analysis: an example from Woodford Shale, Anadarko basin, Oklahoma, oral presentation at SEG annual meeting, Houston, TX, Sept. 22-27.
[28] Liao, Z., and Z. Reches (2013) Shear rupture along a fault with an experimentally-determined frictional strength, poster at 2013 SSA annual meeting, Salt Lake City, Utah, 17 Apr.
[29] Liao, Z., and Z. Reches (2013) Application of high-velocity friction experiments to the shear rupture of a fault in an elastic half-space, oral presentation at EGU annual meeting, Vienna, Austria, 07-12 Apr.
[30] Liao, Z., and Z. Reches (2013) Earthquake rupture: Modeling with experimental-based friction law, poster at AAPG/SEG EXPO, Norman, O.K., 14-15 Mar.
[31] Liao, Z., S. Kalra, J. Nordvik, and Y. Ma (2012) Geological analysis of natural fractures for horizontal well planning within Woodford Shale within central-west Oklahoma, Advanced Drilling Consortium, Norman, OK, 6 Dec.
[32] Liao, Z., and Z. Reches (2012) Modeling dynamic Weakening-Strengthening (WEST) of a granite fault under high slip-velocity experiments, poster at AGU Fall Meeting, San Francisco, Calif., 3-7 Dec.
[33] Liao, Z., J. Chang, Y. Boneh, X. Chen, and Z. Reches (2011) Dynamic strengthening during high velocity shear experiments with siliceous rocks, poster at AGU Fall Meeting, San Francisco, Calif., 5-9 Dec.
[34] Liao, Z., Y. Hong, D. Kirschbaum, H. Fukuoka, K. Sassa, D. Karnawati, and F. Fathani (2010) Prototyping an early-warning system for rainfall-triggered landslides on a regional scale using a physical-based model and remote sensing datasets, poster at AGU Fall Meeting, San Francisco, Calif., 13-17 Dec.
[35] Hong, Y., and Z. Liao (2010) Monitoring and early warning in complex terrains under changing climate, oral presentation at National Geological Engineering (ENGGEO) annual meeting, Fuzhou, China, 19 Nov.
[36] Liao, Z., Y. Hong, R. Adler, and D. Kirschbaum (2010) A physically based SLIDE model for landslide hazard assessments using remotely sensed data sets, oral presentation at International Symposium on Geomechanics and Geotechnics: From Micro to Macro (IS-Shanghai 2010), Shanghai, China, 10 Oct.
[37] Liao, Z., Y. Hong, H. Fukuoka, and K. Sassa (2009) Evaluation of physically-based model’s predictive skill for hurricane-triggered landslides: Case study in North Carolina and Indonesia, poster at AGU Fall Meeting, San Francisco, Calif., 14-18 Dec.
[38] Liao, Z., Y. Hong, H. Fukuoka, K. Sassa, D. Kirschbaum (2008) Prototyping an early warning system for rainfall-induced landslides: Case studies in Java Island in Indonesia and North Carolina in USA, oral presentation at Early Warning for Landslide Disaster Risk Reduction in the Eastern Asian Region, Kunming, China, 30 Nov.-5 Dec.
[39] Hong, Y., J. J. Gourley, H. Vergara, Z. Liao, S. V. Cooten, and K. Kelleber (2009) Prototyping a hurricane-flood-landslide continuum prediction system: a CI-FLOW contribution to north Carolina & broader coaster regions, oral presentation at Hurricane Floyd Symposium, Greenville, N.C., 18 Sept.