廖宗湖，中國石油大學（北京）油氣勘探與開發地質系教授、金融系教授、博士生導師，中葡氣候與能源聯合研究院院長、國家重點研發政府間項目首席科學家。
廖宗湖于2008年獲福州大學環境資源學院學士學位；2012年和2013年獲美國俄克拉荷馬大學能源學院碩士和博士學位，畢業任美國俄克拉荷馬州地質調查局研究科學家；2014年5月起在中國石油大學（北京）工作，任地球科學學院副教授（期間，2016-2018年兼任清華大學遙感大數據中心執行副主任、清華物聯網遙感大數據聯合研究中心執行副主任；2021年起兼任中國石油大學經濟管理學院副教授、區塊鏈金融研究中心主任）；2021年12月入選中國石油大學（北京）首批“石大學者”；2022年6月晉升教授；2023年11月入選自然資源部高層次科技創新人才工程青年科技人才；2024年12月起擔任中葡氣候與能源聯合研究院院長（期間，兼任森遠股份AI科學家和副總經理）。
廖宗湖主要研究領域為油氣構造地質，同時關注人工智能和區塊鏈等新興技術在油氣行業的交叉應用。在EPSL、GJI、AAPG Bulletin等國際主流期刊上發表論文30余篇、會議50余次，發表英文著作《應用地震地質學》等，獲北京市人民政府北京市科學技術獎二等獎、教育部科技進步一等獎、人工智能學會華為學術獎勵金等。
網站： https://faulting.org/ 或 https://nft.cup.edu.cn
電子郵箱：zonghuliao@163.com; zong@cup.edu.cn
【長期招聘有編程背景的博士后、博士、碩士，歡迎聯系】
學術論著：
2024年：Liao, Z., Applied Seismic Geostructures, Springer.
2022年：廖宗湖，孫竹, 元宇宙金融基礎設施：DeFi九講, 機械工業出版社
2021年：廖宗湖, K. J. Marfurt, Seismic Interpretation, 哈爾濱工業大學出版社
代表性科研項目：
[1] 科技部，國家重點研發政府間合作項目，2024/12—2027/11, 在研，主持。
[2] 國家自然科學基金委員會，國際（地區）合作項目, 2021/10—2024/09, 在研, 主持。
[3] 國家自然科學基金委員會, 青年科學基金項目, 2017/01—2019/12，結題, 主持。
[4] 國家自然科學基金委員會, 聯合基金項目, 2016/01—2019/12, 結題, 參與。
[5] 科技部, 重點研發計劃（子課題）, 2020/06—2023/06, 結題, 主持。
[6] 中國科學院, 戰略性A類先導科技專項, 2017/06—2022/06, 結題, 參與。
代表性科研專利：
[7] 一種斷層破碎帶寬度的確定方法及裝置 CN111856572A
[8] 一種斷裂帶結構識別方法、裝置及系統CN111948709A
[9] 斷褶系統的寬度確定方法和裝置CN112198552A
[10] 基于雙扭實驗測量巖石亞臨界裂紋擴展特性的裝置CN212159370U
[11] 巖石亞臨界裂紋擴展實驗研究裝置 CN212932236U
科研獎勵表彰
2015年 入選中國石油大學（北京）校青年拔尖人才
2017年 獲北京市人民政府北京市科學技術獎二等獎
2021年 入選中國石油大學（北京）首批“石大學者”
2022年 獲教育部科學技術進步獎一等獎；
2023年 入選自然資源部高層次科技創新人才工程（青年科技人才）
人才培養
截至2024年12月，廖宗湖已培養本科生、碩士生、博士生50余名。被評為學校優秀實習導師、三全育人導師、金牌就業導師。
社會兼職
森遠股份AI科學家兼副總經理
教育部深地引智基地構造團隊負責人
中國石油大學中央級大型科學儀器巖石力學平臺地學負責人
中國石油大學-上海期貨交易所金融實驗室負責人
國家自然科學基金國家級人才項目（海外優青）評審專家
中國巖石力學與工程學會高溫高壓專委會委員
中國地震學會巖石物理專委會委員
福建省龍巖市留學人員聯誼會理事
SCI期刊《Interpretation》特邀主編
SCI期刊《Applied Sciences》特邀主編
《石油科學通報》青年編委
《Petroleum Science》青年編委
Papers：
[1] Yuan, S., R. Wang, X. Huang, Z. Liao (2024), Seismic attributes and fault-fold systems: Quantitative analysis for methane exploration in the southern Qinshui basin, China. Interpretaiton, (accepted).
[2] Zhang, L., D. Zhu, Z. Reches, S. Deng, H. Zou, F. Hao, Z. Liao (2024), Fluid migration through fault damage zones in Sichuan Basin, China, Tectonophysics, (submitted).
[3] Zhang, L., Z. Liao, Z. Reches (2024), Fault damage zones: Subsurface analysis of a frontal thrust in eastern Longmen Shan Range, China. Tectonophysics, (in print).
[4] Yang, N., R. Wang, X. Chen, Z. Liao (2024), Fluid migration and permeability in evolving fault damage zones: A study of carbonate reservoir from Qingzhou, eastern China, Journal of Asian Geological Sciences, (submitted).
[5] 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
[6] 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.
[7] 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.
[8] 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.
[9] 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).
[10] 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).
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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
[16] 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.
[17] 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
[18] 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.
[19] 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.
[20] 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
[21] 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.
[22] 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.
[23] 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
[24] 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).
[25] 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.
[26] 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.
[27] 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.
[28] 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, Sixian, Z. Liao (2024), Prototyping an explainable artificial intelligence model (XLSTM) for forecasting the Bitcoin price. 2024 China Fintech Research Conference, CFTRC2024, Shanghai, April 20-21 (submitted).
[2] 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).
[3] Yang, S., X. Liu, R. Wang, Z. Liao (2024), How do Russia-Ukraine and Palestinian-Israeli conflicts impact crude oil prices? 2024 China Fintech Research Conference, CFTRC2024, Shanghai, April 20-21 (submitted).
[4] 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).
[5] Yang, N., Z. Liao (2024), Geometrical characteristics of buried fault damage zones in the Bohai Basin, eastern China, EGU General Assembly 2024, Vienna, April 14-19 (submitted).
[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.
