惠钢
特任副研究员，硕士生导师，校青年拔尖人才
办公室：北校区主楼A座A301
E-mail：hui.gang@cup.edu.cn; luckyhuigang@163.com
Google学术：https://scholar.google.com/citations?user=WR895_oAAAAJ&hl=zh-CN
个人简介
惠钢，男，山东诸城人，博士/博士后，中国石油大学（北京）特任副研究员、硕士生导师，校青年拔尖人才。2021年获加拿大卡尔加里大学石油工程博士学位。长期从事非常规油气开发与油气人工智能交叉研究，聚焦智能甜点优选与产能预测、多尺度缝网模拟、诱发地震表征等前沿方向。主持国自然基金面上项目、国家科技重大专项专题、加拿大CFREF国家项目子课题、全国重点实验室开放课题及企业委托等科研项目20余项。发表学术论文112篇，其中以第一/通讯作者在SPE Journal、JGR: Solid Earth、Energy、Petroleum Science、International Journal of Coal Science & Technology等期刊发表论文62篇。授权及申请发明专利10件，出版著作2部。担任中科院一区期刊Petroleum Science及Advances in Geo-Energy Research青年编委，并担任SCI期刊Processes和Symmetry（油气人工智能专刊）及Energies（非常规油气专刊）客座主编。在SPE/AAPG/SEG/ARMA等国际会议作专题报告21次。荣获中国石油和化工自动化应用协会技术发明一等奖、中国石油和化学工业联合会科技进步一等奖、加拿大勘探地球物理学会先驱者奖、国家优秀自费留学生奖学金、加拿大阿尔伯塔省优秀毕业生奖及北京市优秀毕业生奖等省部级奖励6项。
研究方向
[1] 人工智能甜点优选、压裂优化及产量预测
[2] 储层基质非均质-多尺度天然缝综合表征
[3] 四维渗流-应力场耦合人工缝网扩展模拟
[4] 压裂/CCUS/储氢/地热诱发地震风险评估
教育背景
2017.09-2021.10，加拿大卡尔加里大学，石油工程，博士
2008.09-2011.07，中国石油勘探开发研究院研究生部，油气田开发工程，硕士
2004.09-2008.07，中国地质大学（北京），石油工程，本科
工作经历
2022.03 -至今， 中国石油大学（北京），特任副研究员
2021.10 - 2022.03，加拿大卡尔加里大学，博士后
2014.07 - 2017.08，中国石油勘探开发研究院开发所，工程师
2011.07 - 2014.07，中国石油勘探开发研究院储层所，助理工程师
荣获奖励
[1] MDPI 全球Top 1000 Reviewer（2026）
[2] Petroleum Science优秀青年编委（2026）
[3] 凡科优秀评审专家（2025）
[4] 中国石油和化工自动化应用协会技术发明一等奖，省部级（2024）
[5] 中国石油大学（北京）青年拔尖人才（2022）
[6] 国家优秀自费留学生奖学金，国家级（2022）
[7] 阿尔伯塔省优秀毕业生，省部级 （2021）
[8] 加拿大勘探地球物理学会先驱者奖，省部级（2021）
[9] 卡尔加里大学化学与石油工程系优秀研究生（2020）
[10] 卡尔加里大学化学与石油工程系优秀助教（2020）
[11] 中国石油和化学工业联合会科学技术项目科技进步一等奖，省部级（2017）
[12] 中国石油勘探开发研究院科学技术成果奖一等奖（2016）
[13] 第四届中国油气藏开发地质大会优秀论文（2016）
[14] 中国石油勘探开发研究院第一届青年技能竞赛一等奖（2014）
[15] 第三届中国油气藏开发地质大会优秀论文（2014）
[16] 中国石油勘探开发研究院第六届青年英语学术交流会一等奖（2012）
[17] 2010年SPE亚太地区学生论文大赛优秀奖（2010）
[18] 北京市高等学校优秀毕业生，省部级（2008）
[19] 中国地质大学（北京）十佳学生（2007）
科研项目
[1] 2027/01-2030/12，基于物理-数据双驱动与多模态机器学习的页岩气全生命周期产量预测，国自然面上基金项目，在研，主持
[2] 2025/05-2030/12，超深裂缝性油气藏甜点识别产能评价及应用技术，国家科技重大专项-油气重大专项，在研，副专题长
[3] 2025/01-2029/07，广东-海南中高温地热资源成因与评价利用，国家科技重大专项-油气重大专项，在研，副专题长
[4] 2026/02-2026/11，陇东长6致密油开发规律及影响开发效果主控因素研究，长庆油田分公司勘探开发研究院，在研，主持
[5] 2026/02-2026/10，地质工程一体化压裂地质模型精细处理解释，中国石油勘探开发研究院压裂中心，在研，主持
[6] 2026/01-2026/10，低渗透油藏动态裂缝综合表征研究，中国石油勘探开发研究院油田开发所，在研，主持
[7] 2025/08-2026/12，储层连续尺度非均质性表征方法，中国石油勘探开发研究院油田开发所，在研，主持
[8] 2025/01-2026/12，基于最优算法与主控因素的页岩气井EUR智能预测，油气藏地质及开发工程全国重点实验室，在研，主持
[9] 2025/07-2025/11，致密砂岩储层可动水饱和度变化规律实验，中国石油勘探开发研究院气田研究所，结题，主持
[10] 2025/01-2025/06，基于人工智能驱动的多源数据挖掘的页岩油低产水平井增产潜力评价，中国石油勘探开发研究院压裂中心，结题，主持
[11] 2024/10-2026/05，基于海量信息数据挖掘的深层页岩气产能主控因素及预测研究，油气藏地质及开发工程全国重点实验室，结题，主持
[12] 2024/09-2025/03，玛南风城组储层沉积特征综合解释，中国石油勘探开发研究院致密油研究所，结题，主持
[13] 2024/05-2026/04，超低渗透注水开发油藏水平井裂缝时变规律及渗流机理研究，低渗透油气田勘探开发国家工程实验室，结题，主持
[14] 2023/01-2025/12，Duvernay页岩压裂诱发地震触发机理研究，中国石油大学（北京）, 青年拔尖人才科研启动项目，结题，主持
[15] 2023/03-2023/10，特低渗透油藏四维地应力场与裂缝建模，中国石油勘探开发研究院油田开发所，结题，主持
[16] 2022/08-2023/12，Duvernay页岩水力压裂诱发地震的流体-地质力学-压裂综合模拟研究，中国石油勘探开发研究院亚太研究所，结题，主持
[17] 2017/09-2021/10， 加拿大西部盆地诱发地震预测模型开发，加拿大卓越研究基金国家项目子课题，结题，主持
[18] 2019/09-2021/09，中东孔隙型碳酸盐岩地质建模配套技术研究，中国石油勘探开发研究院院级课题，结题，副课题长
[19] 2016/01-2017/08， 低渗储层裂缝网络表征技术，中石油“十三五”油气田开发重大项目子课题，结题，副课题长
[20] 2015/01-2017/08，青海昆北油田切12区检查井综合研究，中国石油青海油田技术服务项目，结题，主持
[21] 2012/01-2014/12，特低渗透油藏水淹层测井评价及水淹规律研究，中国石油勘探开发研究院院级课题，结题，专题长
部分代表性论文（第一作者）
[1] Managing hydraulic fracturing‑induced seismicity in the Duvernay Shale: Triggering mechanisms, influencing factors, and practice‑oriented mitigation strategies. International Journal of Coal Science & Technology. 2026, 13, 85.(SCI一区TOP，IF=10.1)
[2] An integrated machine learning-based approach to identifying controlling factors of unconventional shale productivity. Energy. 2023, 266, 126512. https://doi.org/10.1016/j.energy.2022.126512. (SCI一区TOP, IF=9.0)
[3] Intricate unconventional fracture networks provide fluid diffusion pathways to reactivate pre-existing faults in unconventional reservoirs. Energy. 2023, 282. 128803. https://doi.org/10.1016/j.energy.2023.128803. (SCI一区TOP, IF=9.0)
[4] Integrated evaluations of high-quality shale play using core experiments and logging interpretations. Fuel. 2023, 341, 127679. https://doi.org/10.1016/j.fuel.2023.127679. (SCI一区TOP, IF=7.4)
[5] A synthetical geoengineering approach to evaluate the largest hydraulic fracturing-induced earthquake in the East Shale Basin, Alberta. Petroleum Science. 2023, 20(1):460-473. https://doi.org/10.1016/j.petsci.2023.01.006. (SCI一区TOP, IF=6.0)
[6] A machine learning-based study of multifactor susceptibility and risk control of induced seismicity in unconventional reservoirs. Petroleum Science. 2023, 20(4):2232-2243. https://doi.org/10.1016/j.petsci.2023.02.003. (SCI一区TOP, IF=6.0)
[7] Hydraulic fracturing-induced seismicity characterization through coupled modeling of stress and fracture-fault systems. Advances in Geo-Energy Research, 2022, 6(3), 269–270. https://doi.org/10.46690/ager.2022.03.11 (中科院一区TOP, IF=10.0)
[8] Artificial intelligence applications and challenges in oil and gas exploration and development. Advances in Geo-Energy Research, 2025, 17(3), 179–183. https://doi.org/10.46690/ager.2025.09.01 (中科院一区TOP, IF=10.0)
[9] Advances in physics-constrained and data-driven dual paradigm for artificial intelligence in oil and gas. Advances in Geo-Energy Research, 2026, 20(3): 201-204. https://doi.org/10.46690/ager.2026.06.01 (中科院一区TOP, IF=11.0)
[10] Investigation on Two Mw 3.6 and Mw 4.1 Earthquakes Triggered by Poroelastic Effects of Hydraulic Fracturing Operations near Crooked Lake, Alberta. Journal of Geophysical Research: Solid Earth. 2021, 126, e2020JB020308. https://doi.org/10.1029/2020JB020308. (SCI二区TOP， Nature Index期刊)
[11] Comprehensive characterization and mitigation of hydraulic fracturing-induced seismicity in Fox Creek, Alberta. SPE Journal. 2021, 26(5):2736-2747. https://doi.org/10.2118/206713-PA. (SCI小类二区)
[12] An integrated approach to characterize hydraulic fracturing-induced seismicity in shale reservoirs, Journal of Petroleum Science and Engineering, 2021, 196, 107624. https://doi.org/10.1016/j.petrol.2020.107624. (SCI二区TOP)
[13] Influence of hydrological communication between basement-rooted faults and hydraulic fractures on induced seismicity: A case study. Journal of Petroleum Science and Engineering, 2021, 206, 10904. https://doi.org/10.1016/j.petrol.2021.109040. (SCI二区TOP)
[14] Production forecast for shale gas in unconventional reservoirs via machine learning approach: Case study in Fox Creek, Alberta, Journal of Natural Gas Science and Engineering, 2021, 94, 104045. https://doi.org/10.1016/j.jngse.2021.104045. (SCI二区)
[15] Insights on controlling factors of hydraulically induced seismicity in the Duvernay East Shale Basin. Geochemistry, Geophysics, Geosystems, 2021, 22, e2020GC009563. https://doi.org/10.1029/2020GC009563. (SCI二区)
[16] Role of Fluid Diffusivity in the Spatiotemporal Migration of Induced Earthquakes during Hydraulic Fracturing in Unconventional Reservoirs. Energy & Fuels, 2021, 35, 17685-17697. https://doi.org/10.1021/acs.energyfuels.1c02950. (SCI二区)
[17] Mitigating risks from hydraulic fracturing-induced seismicity in unconventional reservoirs: case study. Scientific Reports. 2022, 12, 12537. https://doi.org/10.1038/s41598-022-16693-3. (SCI二区)
[18] Strike–Slip Fault Reactivation Triggered by Hydraulic-Natural Fracture Propagation during Fracturing Stimulations near Clark Lake, Alberta. Energy & Fuels. 2024, 38, 19, 18547–18555. https://doi.org/10.1021/acs.energyfuels.4c02894. (SCI三区)
[19] An Integrated Method to Mitigate Hazards from Hydraulic Fracturing-Induced Earthquakes in the Duvernay Shale Play. SPE Reservoir Evaluation & Engineering-Formation Evaluation. 2023, 26(2): 382–391 https://doi.org/10.2118/210287-PA . (SCI三区)
[20] 流体-地质力学耦合建模表征水力压裂诱发地震：以加拿大Fox Creek地区为例. 地球物理学报, 2021, 64(3):864-875. https://doi.org/10.6038/cjg2021O0267. (SCI三区)
部分代表性论文（通讯作者）
[1] Energy-efficient fracturing based on stress-coupled perforation. Petroleum Science. 2026, 23(8): 4873-4890, https://doi.org/10.1016/j.petsci.2026.03.063. (SCI一区TOP)
[2] Intelligent facies modeling of shallow-water delta reservoirs with conditional generative adversarial networks. Advances in Geo-Energy Research, 2026. 19(3), 201–215. https://doi.org/10.46690/ager.2026.03.01(中科院一区TOP)
[3] Comprehensive Characterization of Hydraulic Fracture Propagations and Prevention of Pre-existing Fault Failure in Duvernay Shale Reservoirs. Engineering Failure Analysis. 2025, 173, 109461, https://doi.org/10.1016/j.engfailanal.2025.109461. (SCI二区)
[4] Coupled 4D Flow-Geomechanics Simulation to Characterize Dynamic Fracture Propagation in Tight Sandstone Reservoirs. ACS Omega, 2025, 10, 1, 1735-1747. https://doi.org/10.1021/acsomega.4c09805.(SCI三区)
[5] Experimental Analysis of Gas Injection Feasibility and Evaluation of Enhanced Recovery Potential in Mahu Tight Conglomerate Reservoirs. ACS Omega, 2024, 9, 46588–46599. https://doi.org/10.1021/acsomega.4c08650.(SCI三区)
[6] Production-Increase Potential Evaluations after Refracturing Low-Shale-Oil-Producing Wells via Machine-Learning-Driven Multisource Data Mining. ACS Omega, 2025. https://doi.org/10.1021/acsomega.4c08650.(SCI三区)
[7] Application of Dynamic-Static Neural Network Model Integrating Physical Constraints in EUR Prediction of Shale Gas Wells. ACS Omega, 2025. https://doi.org/10.1021/acsomega.5c10862.(SCI三区)
会议宣讲
[1] Machine Learning Optimization of Geothermal Potential Prediction with Key Control Quantification: A Case Study from Alberta's Basal Cambrian Sandstone Unit, SPE Gas & Oil Technology Showcase and Conference, 2026
[2] Beyond Microseismicity: Characterizing Differentially-Propped Fracture Networks and Their Coupling with Faults to Unravel Induced Seismicity Mechanisms, SPE Injection-induced seismicity workshop, 2026
[3] Dominant Mechanisms for Activating Non-Optimally Oriented Faults During Hydraulic Fracturing in Duvernay shale reservoirs, GeoConvention, 2026
[4] Unlocking Geothermal Resources: A Multi-Algorithm Machine Learning Framework with SHAP-Driven Insights from Western Canada, GeoConvention, 2026
[5] Triggering Mechanisms and Mitigation Strategies of CO2 Injection-Induced Seismicity in the Canada Weyburn Field, SPE Asia Pacific CCUS Conference and Exhibition, 2025
[6] Insights on shale gas production prediction via combining multimodal machine learning with deterministic geological modeling, Abu Dhabi International Petroleum Exhibition and Conference, 2025
[7] Comprehensive Characterization of The Unconventional Fracture Networks via Fiber Optic Tools and Microseismicity Analysis, SPE Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition, 2025
[8] Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches. SPE Canadian Energy Technology Conference, 2024
[9] Integrating deterministic geological model with multimodal machine learning to predict shale productivity. InterPore, 2024
[10] An Integrated Geology-Engineering Approach to Duvernay Shale Gas Development: From Geological Modeling to Reservoir Simulation. SPE Canadian Energy Technology Conference, 2023
[11] Integration of mineralogy, petrophysics, geochemistry and geomechanics to evaluate unconventional shale resources. SPE Asia Pacific Oil & Gas Conference and Exhibition, 2022
[12] An integrated method to mitigate risks from hydraulic fracturing-induced seismicity in the Duvernay shale play. SPE Annual Technical Conference and Exhibition, 2022
[13] Coupled poroelastic modeling to characterize the 4.18-magnitude earthquake due to hydraulic fracturing in the East Shale Basin of Western Canada. SPE Virtual Reservoir Simulation Conference, 2021
[14] A novel coupled approach for fracturing-induced earthquake characterization: case study. SPE Virtual Hydraulic Fracturing Technology Conference and Exhibition, 2021
[15] Coupled Flow-Geomechanics Modeling to Characterize the Hydraulic Fracturing-Induced Earthquake near Crooked Lake, Alberta. SPE Virtual Canada Unconventional Resources Conference, 2020
[16] Integration of geophysics, geomechanics and hydrodynamics to characterize induced seismicity triggered by hydraulic fracturing in the Duvernay Reservoir near Fox Creek, Alberta. 53rd US Rock Mechanics Geomechanics Symposium, New York, USA, 2019
[17] Combination of geomechanics, stress field with reservoir static and dynamic performance to characterize dynamic fractures in ultra-low permeability reservoirs. 国际油气田勘探开发学术会议（IFEDC）, Beijing, 2017
[18] 第四届中国油气藏开发地质年会，青海敦煌（优秀论文奖），2016
[19] Integration of Geomechanics, Stress Field and Reservoir Production to Predict Dynamic Fractures Behavior of Tight Sandstone Reservoir. Lecture on AAPG|SEG 2016 ICE, Barcelona, Spain, 2016
[20] 第三届中国油气藏开发地质年会，山东青岛（优秀论文奖），2014
[21] Facies Controlling Modeling and Prediction for Favorable Reservoirs. Lecture on Postgraduate Division at Asia Pacific Regional Student Paper Contest in 2010 APOGCE, Brisbane, Australia, 2010
授权及申请专利
[1] 一种融合确定性地质模型的页岩气产能多模态预测方法，申请中
[2] 一种融合物理约束的动静神经网络页岩气井EUR预测方法，申请中
[3] 一种基质-裂缝-断层多重介质表征方法和装置，申请中
[4] 压裂液注入引发断层失稳的流固耦合模拟方法和装置，申请中
[5] 人工压裂缝三维扩展模拟方法，ZL202211619876.5，已授权（2026）
[6] 裂缝识别方法和装置，ZL201610875282.9，已授权（2018）
[7] 一种特低渗透油藏水淹层含水饱和度计算方法，ZL201410783676.2，已授权（2017）
学术兼职
[1] SPE/ACS/AGU/SEG/ARMA/CSUR 会员
[2] SCI一区TOP期刊《Petroleum Science》青年编委（2022-）
[3] 中科院一区TOP期刊《Advances in Geo-Energy Research》青年编委（2022-）
[4] EI期刊《中国石油勘探》第一届青年编委（2025-）
[5] 中文核心《石油科学通报》执行编委（2026-）
[6] 中文核心《东北石油大学学报》青年编委（2025-）
[7] 中文核心《新疆石油天然气》青年编委（2025-）
[8] 中文核心《海相油气地质》青年编委（2026-）
[9] SCI期刊《Processes》油气人工智能专刊客座主编（2025-2026）
[10] SCI期刊《Symmetry》油气人工智能专刊客座主编（2026）
[11] Energies非常规油气专刊客座主编（2023-2024）
[12] Engineering Applications of Artificial Intelligence, Expert Systems With Applications, Water Resources Research, Journal of Cleaner Production, Petroleum Science等SCI一区期刊审稿人
