
姓 名:魏晨吉 性 别:男
出生年月:1986/10 学 历:博士研究生
政治面貌:中共党员 民 族:汉
导师资格:硕士生导师 职 称:教授级高工
研究方向:油气田开发工程
联系电话:010-83592227;13810966678
E-mail: weichenji@petrochina.com.cn
教育背景
2010/01 ~ 2013/05 博士研究生 美国怀俄明大学 石油工程
2009/08 ~ 2010/01 硕士研究生 美国德克萨斯农工大学 石油工程
2005/09 ~ 2009/07 大学本科 中国石油大学(北京) 石油工程
工作经历
任职情况
2022/09 ~ 至今 中国石油勘探开发研究院中东分院 阿布扎比项目部主任 教授级高工
2022/02 ~ 至今 阿布扎比项目联合公司 Al Nouf油田开发部经理 教授级高工
2018/08 ~ 至今 中国石油勘探开发研究院油田开发研究所 阿布扎比项目部主任 教授级高工
2016/05 ~ 2018/08 中国石油勘探开发研究院油田开发研究所 鲁迈拉项目部副主任 高级工程师
2013/06 ~ 2016/05 中国石油勘探开发研究院油田开发研究所 研究人员 工程师
社会职务
2021/07 ~ 至今 中国石油勘探开发研究院 硕士生导师
2021/07 ~ 至今 中国科学院大学渗流力学研究所 硕士生导师
2023/01 ~ 至今 教育部学位与研究生教育发展中心 全国研究生教育评估监测专家库专家
2021/05 ~ 至今 国家自然科学基金委员会 青年基金项目和面上项目评审专家
2019/09 ~ 至今 石油类一区期刊《石油勘探与开发》 审稿专家
2016/06 ~ 至今 化工类二区期刊《Journal of Natural Gas Science and Engineering》 审稿专家
教授课程
2019/05 孔隙型碳酸盐岩油藏水驱开发管理 2学时 阿布扎比国家石油公司高级工程师
2021/08 中东低渗碳酸盐岩开发实践 2学时 中国石油勘探开发研究院新入职员工
2023/07 ADNOC国际化做法与启示 2学时 中国石油勘探开发研究院英才班
专利与奖励
专利
[1] Method for recognizing thief zone in oil pool, computer apparatus and computer readable storage medium 美国发明专利 专利号US20190211674A1 排名1
[2] 油藏中贼层的识别方法及装置 中国发明专利 专利号ZL201610595109.3 排名1
[3] 一种油藏注水方法 中国发明专利 专利号ZL201510276011.7 排名1
[4] 一种选择致密油气藏重复压裂目标井的方法 中国发明专利 专利号ZL201510324579.1 排名1
[5] 非均质油藏开发方法、装置及电子设备 中国发明专利 专利号ZL201910444995.3 排名5
[6] 一种辅助油藏沉积相划分及连通性评价的方法及装置 中国发明专利 专利号ZL201510507382.1 排名6
[7] 预测全油藏产区类型的方法及装置 中国发明专利 专利号ZL201510419405.3 排名6
[8] 一种油田区块边界流量确定方法及装置 中国发明专利 专利号ZL201510179617.9 排名10
[9] Stratigraphic correlation method and apparatus based on uncertainty 英国发明专利 专利号GB2540228 排名12
[10] 基于不确定度的地层对比方法及装置 中国发明专利 专利号ZL201510379359.9 排名12
[11] 同井同层自我注采的井下流体分离自驱井及开采方法 中国发明专利 专利号ZL202010876808.1 排名13
科技奖励
(1)中东地区低渗碳酸盐岩油藏分类高效开发关键技术及应用 中国石油和化学工业联合会科学技术奖 省部级特等奖 2023年 排名2
(2)阿布扎比低渗碳酸盐岩油藏开发关键技术及应用 中国石油天然气集团有限公司科学技术奖 省部级一等奖 2022年 排名1
(3)中东鲁迈拉油田年产6500万吨关键技术研究及应用 中国石油和化学工业联合会科学技术奖 省部级一等奖 2016年 排名3
(4)大型海相三角洲砂岩油藏高效开发关键技术及工业化应用 中国石油和化学工业联合会科学技术奖 省部级一等奖 2018年 排名7
(5)伊拉克鲁迈拉油田规模上产关键技术研究及应用 中国石油天然气集团有限公司科学技术奖 省部级一等奖 2015年 排名11
(6)新一代油藏数值模拟技术与软件系统规模化应用 中国石油天然气集团有限公司科学技术奖 省部级一等奖 2018年 排名12
个人荣誉
(1)全国劳动模范 2020年 国家级 中共中央、国务院
(2)中央企业劳动模范 2019年 省部级 人社部、国资委
(3)中国石油突出贡献奖 2024年 省部级 中国石油天然气集团有限公司
(4)中国石油特等劳动模范 2020年 省部级 中国石油天然气集团有限公司
(5)中国石油十大杰出青年 2019年 省部级 中国石油天然气集团有限公司
出版信息
论文
[1] WEI C, HUANG R, YANG J, et al. Data-Driven Characterization of Saturation Distribution for a Heterogeneous Carbonate Reservoir in Middle East [C]//Day 3 Wed, November 02, 2022. Abu Dhabi, UAE:, SPE, 2022 : D031S071R002.
[2] WEI C, LI Z, YANG J, et al. A comprehensive performance evaluation methodology for miscible gas flooding: A case study in a giant carbonate reservoir in Middle East [J]. Journal of Petroleum Science and Engineering, 2022, 215 : 110668.
[3] WEI C, HUANG R, DING M, et al. Characterization of saturation and pressure distribution based on deep learning for a typical carbonate reservoir in the Middle East [J]. Journal of Petroleum Science and Engineering, 2022, 213 : 110442.
[4] WEI C, ZHENG J, XIONG L, et al. Evaluation and Utilization of Nano-Micron Polymer Plug for Heterogeneous Carbonate Reservoir with Thief Zones [J]. Advances in Polymer Technology, 2020, 2020 : 1–7.
[5] WEI C, WANG Y, LI B, et al. Miscible Gas Injection in Heterogeneous Carbonate Reservoirs with Extensive Baffles [C]//Day 4 Thu, November 14, 2019. Abu Dhabi, UAE:, SPE, 2019 : D042S231R001.
[6] WEI C, ZHENG J, OUYANG X, et al. Thief Zone Characterization and its Impact on Well Performance Based on Surveillance Data, Experimental Data and Theoretical Analysis for a Carbonate Reservoir [C]//Day 3 Thu, September 19, 2019. Abu Dhabi, UAE:, SPE, 2019 : D031S024R001.
[7] WEI C, LIU S, LI B. Baffle Characterization and Its Significance towards Development for a Heterogeneous Carbonate Reservoir in Middle East [C]//Copenhagen, Denmark:, 2018.
[8] WEI C, WANG L, LI B, et al. A Study of Nonlinear Elasticity Effects on Permeability of Stress Sensitive Shale Rocks Using an Improved Coupled Flow and Geomechanics Model: A Case Study of the Longmaxi Shale in China [J]. Energies, Multidisciplinary Digital Publishing Institute, 2018, 11(2) : 329.
[9] WEI C, FAN J, ZHANG J, et al. Characteristics And Distribution Of Thief Zone In Mishrif Carbonate Reservoir In Iraq [C]//Doha, Qatar:, 2017.
[10] WEI C, XIONG L, ZHENG J, et al. A Comprehensive Reservoir Characterization and Water Flooding Optimization for Different Types of Reservoir – Case Study of a Giant Carbonate Reservoir in the Middle East [C]//Day 1 Tue, November 07, 2017. Kuala Lumpur, Malaysia:, SPE, 2017 : D011S004R005.
[11] WEI C, WANG Y, DING Y, et al. Uncertainty Assessment in Production Forecasting and Optimization for a Giant Multi-Layered Sandstone Reservoir Using Optimized Artificial Neural Network Technology [C]//Day 3 Wed, May 10, 2017. Abu Dhabi, UAE:, SPE, 2017 : D031S017R002.
[12] WEI C, SONG H, LI Y, et al. Production Characteristics with Different Superimposed Modes Using Variogram: A Case Study of a Super-Giant Carbonate Reservoir in the Middle East [J]. Energies, Multidisciplinary Digital Publishing Institute, 2017, 10(2) : 250.
[13] WEI C, LI Y, SONG B, et al. Uncertainty and Risk Management: Waterflood Pilot Design and Surveillance Proposal for a Giant Multi-Layered Sandstone Reservoir [C]//All Days. Perth, Australia:, SPE, 2016 : SPE-182186-MS.
[14] WEI C, LI Y, ZHANG Q, et al. Reservoir Characterization and Development Optimization for a Super-giant Carbonate Reservoir [C]//Vienna, Austria:, European Association of Geoscientists & Engineers, 2016, 2016(1) : 1–5.
[15] WEI C, TIAN C, ZHENG J, et al. Heterogeneity Characteristics of Carbonate Reservoirs: A Case Study using Whole Core Data [C]//Day 2 Tue, September 15, 2015. Abu Dhabi, UAE:, SPE, 2015 : D021S004R002.
[16] WEI C, LI Y, LI B, et al. Water Flooding Optimization for a Super-Giant Carbonate with Thief Zones [C]//Day 3 Wed, September 16, 2015. Abu Dhabi, UAE:, SPE, 2015 : D031S015R002.
[17] WEI C, LI Y, SONG B, et al. Waterflooding Surveillance and Optimization for a Super-Giant Carbonate Reservoir [C]//All Days. Amsterdam, The Netherlands:, SPE, 2014 : SPE-170621-MS.
[18] WEI C, QIN G. Microstructure Characterization for a Shale Gas Reservoir by Combining Visualization Technique and Physical Measurement [C]//All Days. Brisbane, Australia:, SPE, 2013 : SPE-167610-MS.
[19] WEI C, WANG Y, QIN G, et al. Experimental and Numerical Studies on the Micro-fractures and its Significance Toward Production of Shales: A Case Study [C]//All Days. Pittsburgh, Pennsylvania, USA:, SPE, 2013 : SPE-165723-MS.
[20] WEI C, QIN G, GUO W, et al. Characterization and Analysis on Petrophysical Parameters of a Marine Shale Gas Reservoir [C]//All Days. Monterey, California, USA:, SPE, 2013 : SPE-165380-MS.
[21] WEI C ., WANG H ., SUN S ., et al. Potential Investigation of Shale Gas Reservoirs, Southern China [C]//All Days. Calgary, Alberta, Canada:, SPE, 2012 : SPE-162828-MS.
[22] GAO M, WEI C, ZHAO X, et al. Intelligent Optimization of Gas Flooding Based on Multi-Objective Approach for Efficient Reservoir Management [J]. Processes, 2023, 11(7) : 2226.
[23] GAO M, WEI C, ZHAO X, et al. Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East [J]. Energies, 2022, 16(1) : 407.
[24] HUANG R, WEI C, YANG J, et al. Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation [J]. DAVARPANAH A. Geofluids, 2021, 2021 : 1–12.
[25] HUANG R, WEI C, WANG B, et al. Well performance prediction based on Long Short-Term Memory (LSTM) neural network [J]. Journal of Petroleum Science and Engineering, 2022, 208 : 109686.
[26] YUAN T, WEI C, ZHANG C-S, et al. A numerical simulator for modeling the coupling processes of subsurface fluid flow and reactive transport processes in fractured carbonate rocks [J]. Water, Multidisciplinary Digital Publishing Institute, 2019, 11(10) : 1957.
[27] HUANG R, WEI C, LI B, et al. A Data Driven Method to Predict and Restore Missing Well Head Flow Pressure [C]//Day 3 Wed, February 23, 2022. Riyadh, Saudi Arabia:, OnePetro, 2022 : D032S154R004.
[28] HUANG R, WEI C, WANG B, et al. A Comprehensive Machine Learning Approach for Quantitatively Analyzing Development Performance and Optimization for a Heterogeneous Carbonate Reservoir in Middle East [C]//Day 1 Tue, November 23, 2021. Kyiv, Ukraine:, SPE, 2021 : D012S001R001.
[29] HUANG R, WEI C, LI B, et al. Prediction and Optimization of WAG Flooding by Using LSTM Neural Network Model in Middle East Carbonate Reservoir [C]//Day 1 Mon, November 15, 2021. Abu Dhabi, UAE:, SPE, 2021 : D011S012R003.
[30] ZHANG Q, WEI C, WANG Y, et al. Potential for prediction of water saturation distribution in reservoirs utilizing machine learning methods [J]. Energies, Multidisciplinary Digital Publishing Institute, 2019, 12(19) : 3597.
[31] NING Y, WEI C, QIN G. A unified grayscale lattice Boltzmann model for multiphase fluid flow in vuggy carbonates [J]. Advances in Water Resources, 2019, 124 : 68–83.
[32] LIU S, WEI C, GAO Y, et al. An Integrated Study Focusing on Baffle Characterization and Development Optimization [C]//All Days. Dammam, Saudi Arabia:, SPE, 2018 : SPE-192396-MS.
[33] WANG M, WEI C, SONG H, et al. Generalized Multiscale Coupling of Triple-Continuum Model and Discrete Fracture Network for Carbonate Reservoir Simulation [C]//Day 2 Tue, October 10, 2017. San Antonio, Texas, USA:, SPE, 2017 : D021S014R005.
[34] LI Z, WEI C, LEUNG J, et al. Numerical and experimental study on gas flow in nanoporous media [J]. Journal of Natural Gas Science and Engineering, Elsevier, 2015, 27 : 738–744.
[35] LI Y ., WEI C ., QIN G ., et al. Optimizing Hydraulic Fracturing Design for Shale Gas Production through Numerical Simulations [C]//All Days. Doha, Qatar:, SPE, 2012 : SPE-157411-MS.
[36] SONG H, ZHU J, WEI C, et al. Data-driven physics-informed interpolation evolution combining historical-predicted knowledge for remaining oil distribution prediction [J]. Journal of Petroleum Science and Engineering, 2022 : 110795.
[37] HAN R, GAO Y, WEI C, et al. Facies Modeling Based on Comprehensive Sedimentary and Diagenesis Study Assisted by Neuro Network for an Extremely Heterogeneous Carbonate Reservoir in UAE [C]//Day 1 Mon, November 09, 2020. Abu Dhabi, UAE:, SPE, 2020 : D012S116R026.
[38] DU S, WANG R, WEI C, et al. The connectivity evaluation among wells in reservoir utilizing machine learning methods [J]. IEEE Access, IEEE, 2020, 8 : 47209–47219.
[39] LIU H, YANG S, WEI C, et al. A Fit of Art of Dynamic Monitoring Technology for Chemical Flooding in Daqing Oilfield [C]//Day 2 Wed, October 18, 2017. Jakarta, Indonesia:, SPE, 2017 : D021S009R002.
[40] LI Y, ZHANG Q, WEI C, et al. Dynamic Characterization of Different Reservoir Stacked Patterns for a Giant Carbonate Reservoir in Middle East [C]//Day 1 Mon, May 08, 2017. Abu Dhabi, UAE:, SPE, 2017 : D011S001R003.
[41] YANG M, ECONOMIDES M J, WEI C, et al. Hydraulic Fracture Design Flaws-Proppant Selection [C]//Day 3 Wed, October 02, 2013. New Orleans, Louisiana, USA:, SPE, 2013 : D031S037R006.
[42] SONG H, DU S, WANG R, et al. Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods [J]. Geofluids, Hindawi, 2020, 2020.
[43] WANG D, LI Y, ZHANG J, et al. Improved CRM model for inter-well connectivity estimation and production optimization: Case study for karst reservoirs [J]. Energies, Multidisciplinary Digital Publishing Institute, 2019, 12(5) : 816.
[44] SUN L, WU B, GAO Y, et al. Data-Driven Performance Analysis for Candidate Recognition: A Case Study in a Giant Heterogeneous Carbonate Reservoir [C]//Day 1 Wed, March 01, 2023. Bangkok, Thailand:, IPTC, 2023 : D011S002R003.
[45] SYOFYAN S, AHSAN S A, KOKSALAN T, et al. Application of an Integrated Geochemical Approach to Assess Hydrocarbon Presence and its Composition Below the Hitherto Free Water Level. A Case Study from Flank Appraisal Wells of a Producing Field in the Onshore UAE [C]//Day 3 Wed, November 02, 2022. Abu Dhabi, UAE:, SPE, 2022 : D031S091R002.
[46] WU B, SHI S, LIU J, et al. The Dynamic-Static Coupled Full Field Optimization of ICD/AICD Completion for the Pilot Wells Selection and Design in N Oilfield Middle East [C]//Volume 10: Petroleum Technology. Hamburg, Germany:, American Society of Mechanical Engineers, 2022 : V010T11A041.
[47] 王文环, 彭缓缓, 李光泉, 等. 特低渗透油藏水驱规律及最佳驱替模式[J]. 石油与天然气地质,2019, 40(01) : 182–189.
[48] LI Y, JIA C, SONG B, et al. Geological Models Comparison and Selection for Multi-layered Sandstone Reservoirs [C]//Day 3 Wed, March 08, 2017. Manama, Kingdom of Bahrain:, SPE, 2017 : D031S026R005.
[49] LI Y ., TIAN C ., ZHU Y ., et al. Waterflooding Development Strategy Study for a Large Multi-layered Sandstone Reservoir [C]//All Days. Port of Spain, Trinidad and Tobago:, SPE, 2016 : SPE-180829-MS.
[50] SONG B B, ZHU Y X, FU X P, et al. Hydrocarbon Volume Uncertainty of Mishrif Reservoir in Rumaila Field;Implications from Surveillance Data [C]//Third EAGE Workshop on Iraq. Dubai, United Arab Emirates,:, European Association of Geoscientists & Engineers, 2015 : 1–5.
[51] 王文环, 彭缓缓, 李光泉, 等. 大庆低渗透油藏注水动态裂缝开启机理及有效调整对策[J]. 石油与天然气地质,2015, 36(05) : 842–847.
[52] ZHU Y, ZHAO W, SONG B, et al. Integrated Reservoir Characterization and Distribution of Carbonate Reef- Flat Complexes in Genetic Units of Different Phases of the Ordovician Carbonates in Tarim Basin, Western China [C]//Day 1 Mon, September 28, 2015. Houston, Texas, USA:, SPE, 2015 : D011S001R006.
[53] ALFALEH A, WANG Y, YAN B, et al. Topological Data Analysis to Solve Big Data Problem in Reservoir Engineering: Application to Inverted 4D Seismic Data [C]//Day 3 Wed, September 30, 2015. Houston, Texas, USA:, SPE, 2015 : D031S030R009.
[54] MINGQIANG H, YUANQIAN C, YONGTAO Z, et al. Establishment and Application of the Multi-Peak Forecasting Model [C]//2013.
[55] HAO M, HU Y, LIU X, et al. Predicting and Optimizing the Productivity of Multiple Transverse Fractured Horizontal Wells in Ultra-Low Permeability Reservoirs [C]//All Days. Beijing, China:, IPTC, 2013 : IPTC-16891-Abstract.
[56] HU S, LI X, HU X, et al. Material balance method for calculating the reserves of unsaturated coal-bed methane reservoirs [C]//2011 International Conference on Electric Information and Control Engineering. Wuhan, China:, IEEE, 2011 : 4268–4271.
专/译著
[1] 2017/10 译著 排名1 油藏工程:基础、数值模拟及油藏管理
[2] 2016/01 译著 排名1 油气开发系统
[3] 2017/11 译著 排名2 油气田开发地质学
[4] 2023/01 专著 排名3 实用油藏地质建模与数值模拟手册
[5] 2017/02 译著 排名5 中东地区碳酸盐岩油藏储层表征与开发技术
软件著作权
[1] 2022/01 软件著作权 排名1 基于数据和物理双驱动的油藏开发动态预测软件
[2] 2021/06 软件著作权 排名1 油藏数据智能处理平台
[3] 2021/08 软件著作权 排名3 碳酸盐岩物性夹层封隔性定量评价软件
科研活动
科研项目
(1)国家自然科学基金委员会,面上项目,51974357,基于机器学习的油藏剩余油刻画及挖潜方法研究,2020-01-01至2023-12-31,60万元,结题,主持
(2)中国石油天然气集团有限公司,重大科技专项,2023ZZ19-03,低渗特低渗碳酸盐岩油藏注气开发关键技术研究与应用,2023-01至2027-12,8586万元,在研,参与
(3)中国石油天然气集团有限公司,国际科技合作,2024-40217-000129,低渗高温高盐碳酸盐岩油藏水驱渗流机理及采收率数值模拟方法研究,2024-01至2026-12,450万元,在研,主持
(4)中国石油天然气集团有限公司,ADNOC国际合作,004-SR-CNPCIHKA-2022,阿布扎比油气田勘探开发技术支持,2022-06至2023-06,1020万元,结题,主持
(5)中国石油天然气集团有限公司,ADNOC国际合作,004-SR-CNPCIHKA-2022,阿布扎比油气田勘探开发技术支持,2022-06至2023-06,1020万元,结题,主持
(6)中国石油天然气集团有限公司,ADNOC国际合作,2021-40217-000001,阿布扎比NEB油田技术支持,2022-01至2022-12,930万元,结题,参与
(7)中国石油天然气集团有限公司,CNODC专项,2022-YF-01-12,中东地区低渗碳酸盐岩油藏经济有效开发关键技术攻关与应用-b28,2022-01至2022-12,1800万元,结题,参与
(8)中国石油天然气集团有限公司,ADNOC国际合作,2022-40217-000080,NEB资产领导者技术支持,2019-01至2022-12,1660万元,结题,主持
(9)中国石油天然气集团有限公司,CNODC专项,2019-40234-000001,2019-2021中东地区油气开发技术支持与综合研究,2019-01至2021-12,1392万元,结题,主持
(10)中国石油天然气集团有限公司,ADNOC国际合作,2021-40217-000001,NEB主力油藏方案优化,2020-01至2020-12,716万元,结题,参与
国际会议
(1)2019/09 SPE油藏特征及数值模拟会议 Thief Zone Characterization and its Impact on Well Performance Based on Surveillance Data, Experimental Data and Theoretical Analysis for a Carbonate Reservoir
(2)2017/12 EAGE碳酸盐岩注入生产能力会议 Characteristics And Distribution Of Thief Zone In Mishrif Carbonate Reservoir In Iraq
(3)2017/05 SPE油藏特征及数值模拟会议 Uncertainty Assessment in Production Forecasting and Optimization for a Giant Multi-Layered Sandstone Reservoir Using Optimized Artificial Neural Network Technology
(4)2016/10 SPE亚太地区年会 Uncertainty and Risk Management: Waterflood Pilot Design and Surveillance Proposal for a Giant Multi-Layered Sandstone Reservoir
(5)2015/10 EAGE伊拉克油田开发会议 Challenges for a successful water injection in Mishrif carbonate, Rumaila oilfiled
(6)2015/08 SPE油藏描述及数值模拟大会 Water Flooding Optimization for a Super-Giant Carbonate with Thief Zones
(7)2015/08 SPE油藏描述及数值模拟大会 Heterogeneity Characteristics of Carbonate Reservoirs: A Case Study using Whole Core Data
(8)2014/04 AAPG 2014太平洋地区年会 Heterogeneity Characteristics of Carbonate Reservoirs: A Case Study using Whole Core Data
(9)2012/10 SPE加拿大非常规油气田开发会议 Potential Investigation of Shale Gas Reservoirs, Southern China
指导学生
(1)中国石油勘探开发研究院 高蒙 博士研究生 博士副导师 2022-2025 在读
(2)中国石油勘探开发研究院 张晗 硕士研究生 硕士生导师 2023-2026 在读
(3)中国石油勘探开发研究院 黄睿杰 博士研究生 博士副导师 2020-2023 毕业
(4)中国石油大学(北京) 黄睿杰 硕士研究生 企业导师 2017-2020 毕业
(5)中国地质大学(北京) 丁建禹 硕士研究生 企业导师 2017-2020 毕业