http://ai.www.odespower.com/

個人簡介：
張凱，男，教授，博士生導師。國家自然科學傑出青年基金及優秀青年基金、山東省自然科學基金傑出青年基金、孫越崎青年科技獎獲得者，山東省泰山學者特聘專家；中國力學學會流體力學專委會委員、滲流力學專業組副組長、山東岩石力學與工程協會副理事長、石油學報青年編委、中國石油大學學報（自然科學版）編委、石油科學通報副主編。長期致力於智能油田開發理論與方法研究，瞄準智能油藏、智能井筒、智能井場領域，研究智能優化與機器學習、智能油藏動態建模與生產優化、智能井筒工況診斷與措施優化、智能井場視頻作業監控、數字孿生雲端軟件平台等關鍵技術。獲國家自然科學基金、863項目、國家油氣重大專項、中國石油重大項目等80餘項項目資助。發表論文220餘篇，SCI論文130餘篇，獲省部級獎項一等獎4項、二等獎3項，編寫著作2部。

學習與工作經曆:
2008.7－2010.11，中國石油大學(華東)，必威app精裝版客服 ，講師；
2010.12－2015.11，中國石油大學(華東)，必威app精裝版客服 ，副教授；
2015.12－至今，中國石油大學(華東)，必威app精裝版客服 ，教授。

具體研究方向：
(1)人工智能優化理論（大規模優化、多目標優化、高效優化算法、多模態優化、約束優化等）；
(2)機器學習理論（強化學習、遷移學習、圖學習、元學習、卷積神經網絡等）；
(3)油藏數值模擬與油氣田開發工程理論與方法；
(4)大數據分析與預測（剩餘油、連通性、實驗、產能、措施等）；
(5)智能油藏（自動曆史擬合、井位優化、注采優化、提采優化等）；
(6)智能井筒（工況診斷、參數預測、舉升優化、能耗管控等）；
(7)智能井場（機采設備監控、生產數據監控、作業規範監控等）；
(8)數字孿生雲端計算平台與軟件（適用於雲平台計算的Python、Fortran、Java、C#、C++等各種語言）。

必修課，《油藏工程》，石油工程專業；
必修課，《Filtration Mechanics》，全英文班；
必修課，《滲流力學》，石油工程專業；
必修課，《Reservoir Engineering Design》，全英文班；
必修課，《石油工程綜合設計》，石油工程專業。

中國力學學會流體力學專委會委員；
中國力學學會流體力學領域滲流力學專業組副組長；
國際數字地球學會中國國家委員會數字能源專業委員會副主任；
山東岩石力學與工程協會副理事長；
石油學報青年編委；
中國石油大學學報（自然科學版）編委；
石油科學通報副主編。

博士研究生15人，碩士研究生80餘人。

縱向項目：
1. 油藏開發智能實時優化，國家自然科學基金傑出青年基金項目；
2. 海上CCUS全流程安全監測係統集成及應用示範，重點研發計劃；
3. 基於強化學習的離線-在線交互式油藏開發生產實時優化方法，國家自然科學基金麵上項目；
4. 深層縫洞型碳酸鹽岩油氣藏開采機理及提高采收率技術研究，中石油重大科技項目；
5. 複雜油藏生產實時優化理論與方法，國家優秀青年科學基金項目；
6. 基於嵌入式離散裂縫模擬的裂縫性油藏縫網分布反演，國家自然科學基金麵上項目；
7. 海上高含水期油藏大井距井網加密矢量優化與注采結構調整技術，國家重大科技專項；
8. 深水油氣田智能完井關鍵技術，863重大項目；
9. 自適應井網優化理論與方法研究，中央高校基本科研業務費專項資金；
10. 油藏生產動態實時優化方法研究，國家自然科學基金青年基金；
11. 海上大井距多層合采稠油油藏開發生產實時優化技術研究，國家科技重大專項；
12. 複雜地層井壁穩定控製及儲層改造技術研究，國家科技重大專項；
13. 油田水驅體係最優調控理論方法研究，高等學校博士學科點專項科研基金；
14. 西非深水典型油氣田高效開發模式與評價技術研究，國家科技重大專項；
15. 深水油藏生產實時優化調控理論研究，中央高校基本科研業務費專項資金；
16. 海上大井距多層合采稠油油藏開發調整技術政策研究，國家科技重大專項。

橫向項目：
1. 不同油藏類型壓驅適應性研究；
2. 低滲透油藏分層注采流動模擬研究；
3. 多井條件下注采耦合水驅波及影響因素測試；
4. 基於大數據的連通性定量表征及注采優化方法研究；
5. 油井多層合采產量自動劈分建模方法研究技術；
6. 海上整裝多層油藏開發動態精細表征研究
7. 基於機器學習的水驅油藏增產潛力預測方法；
8. 基於數據驅動的水驅油藏自動曆史擬合方法測試；
9. 基於流場調控機器學習模型的油藏分注分采優化；
10. 基於數據與物理框架下的油藏離線建模算法研究；
11. 基於代理模型的海上油藏智能注采流場實時調控優化方法研究；
12. 油田近期可實施開發潛力綜合評價方法研究；
13. 井組智能分層注采優化方法研究；
14. 砂礫岩油藏動態連通性判別方法研究；
15. 基於流場調控機器學習模型的方案優化方法研究及軟件編製；
16. 基於模型驅動的油藏擬合與優化軟件；
17. 數智雲平台——智能舉升工藝分析優化；
18. 多層合采產量劈分軟件及增產措施判別與決策係統軟件；
19. 基於機器學習的油藏開發井位優化方法；
20. 基於代理模型的老油田開發指標預測方法；
21. 大慶井下作業安全生產管理控製係統；
22. 加密井網重構及優化技術研究；
23. 頁岩氣藏數值模擬自動曆史擬合技術研究；
24. 基於油藏數值模擬器代理模型的注采優化方法；
25. 油藏開發剩餘油快速分析與高效注采優化研究；
26. 厚層油藏不同條件下高耗水層帶形成時機測試；
27. 數據驅動的注采井生產動態實時優化方法研究；
28. 強化水驅技術政策界限測試及應用；
29. 埕島主體館上段流場調整方法研究；
30. 斷塊油藏基於細分注水的層間注采調控優化方法研究；
31. 埕島主體館上段流場表征方法研究；
32. 埕北22F井區注采優化研究；
33. 儲氣庫儲層注采動態壓力變化規律；
34. 河流相高含水油田油藏注采匹配優化方法研究；
35. 海上油田剩餘油分布模式及均衡注采方法研究；
36. 特高含水期複雜斷塊油藏分區調控優化方法研究；
37. 錦州9-3與旅大10-1高含水、高采出程度油田增產挖潛技術研究；
38. 斷塊油藏高部位剩餘油有效動用技術研究；
39. 埕島油田中高含水期差異化注水技術政策研究合同；
40. 改善新北油田氣頂邊底水油藏水驅開發效果研究合同；
41. 老168塊建模數模一體化研究；
42. 提高分層注水井注水有效性技術研究；
43. 張家垛油田曲塘區塊CO2驅油藏工程參數及方案研究；
44. 油藏動態優化平台集成技術研究；
45. 多參數最優化調參技術研究；
46. 薄互層油藏層間幹擾規律研究；
47. 油藏閉合管理係統優化；
48. 河86斷塊地質水平井開發方式研究；
49. 埕島油田油藏動態優化方法及應用研究。

1.水驅油藏智能閉環生產優化與調控技術及工業化應用，山東省科技進步一等獎；
2.油藏生產動態實時優化理論研究，中國石油和化學工業協會科技進步二等獎；
3.碳酸鹽岩縫洞型油藏油藏工程方法與應用，中國石油和化學工業協會科技進步二等獎；
4.流線數值試井解釋方法與應用，中國石油和化工協會科學進步一等獎；
5.複雜油藏試井解釋新方法研究與應用，教育部高等學校科學技術進步二等獎。

1.國家自然科學基金傑出青年基金獲得者
2.國家自然科學基金優秀青年基金獲得者；
3.孫越崎青年科技獎獲得者；
4.山東省泰山學者特聘專家；
5.山東省自然科學傑出青年基金獎獲得者。

1.《智能油田開發理論與方法》，科學出版社，2018年；
2.《國外智能井技術》，石油工業出版社，2011年；
3.《Fluid Flow in Prouse Media》，中國石油大學出版社，2009年。

人工智能與應用數學領域高水平期刊文章：
1. G. Xue, J. Wang*, K. Zhang and N. R. Pal*, High-Dimensional Fuzzy Inference Systems, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 1, pp. 507-519, Jan. 2024, doi: 10.1109/TSMC.2023.3311475.
2. Faliang Yin, Weiguo Li, Kai Zhang, Jian Wang*, Nikhil R. Pal, Pseudo inverse versus iterated projection: Novel learning approach and its application on broad learning system [J], Information Sciences, Volume 649, 2023, 119648, ISSN 0020-0255
3. Xiaoming Xue, Kai Zhang*, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao. Affine Transformation Enhanced Multifactorial Optimization for Heterogeneous Problems[J]. IEEE Transactions on Cybernetics, 2022, 52(7): 6217-6231.
4. Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, and Kay Chen Tan. Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems[J], IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, https://doi.org/10.1109/TEVC.2021.3133874
5. Yi-Fei Pu, Xuetao Xie, Jinde Cao*, Hua Chen, Kai Zhang*, Jian Wang*. An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus[J], IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 01 March 2021, doi: 10.1109/TSMC.2021.3055501
6. Liming Zhang, Saisai Wang, Kai Zhang*, Xiuqing Zhang, Zhixue Sun, Hao Zhang, Miguel Tome Chipecane, Jun Yao. Cooperative artificial bee colony algorithm with multiple populations for interval multiobjective optimization problems[J]. IEEE Transactions on Fuzzy Systems, 2019, 27(5): 1052-1065. doi: 10.1109/TFUZZ.2018.2872125.
7. Xiangyu Wang, Kai Zhang, Jian Wang*, Yaochu Jin. An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization[J]. IEEE Transactions on Evolutionary Computation, 2022, 26(5):859-871
8. Guodong Chen, Kai Zhang*, Xiaoming Xue, Liming Zhang, Chuanjin Yao, Jian Wang, Jun Yao. A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems[J]. Applied Soft Computing, 2022, 116:108353
9. Xiaoming Xue, Kai Zhang*, Rupeng Li, Liming Zhang, Chuanjin Yao, Jian Wang, Jun Yao. A topology-based single-pool decomposition framework for large-scale global optimization[J]. Applied Soft Computing. 2020, 92: 106295.
10. Guodong Chen, Yong Li, Kai Zhang*, Xiaoming Xue, Jian Wang, Qin Luo, Chuanjin Yao, Jun Yao. Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization[J]. Information Sciences, 2021, 542: 228-246.
11. Tao Gao, Xiaoling Gong, Kai Zhang*, Feng Lin*, Jian Wang*, Tingwen Huang, Jacek M. Zurada. A recalling-enhanced recurrent neural network: conjugate gradient learning algorithm and its convergence analysis[J]. Information Sciences, 2020, 519: 273-288.
12. Fu S, Liu W, Zhang K, et al. Semi-supervised classification by graph p-Laplacian convolutional networks[J]. Information Sciences, 2021, 560: 92-106.
13. Jian Wang, Qin Chang, Tao Gao, Kai Zhang, Nikhil R. Pal. Sensitivity Analysis of Takagi-Sugeno Fuzzy Neural Network. Information Sciences, 582: 725-749, 2022.
14. Liming Zhang, Chenyu Cui, Xiaopeng Ma, Zhixue Sun, Fan Liu, Kai Zhang*. A fractal discrete fracture network model for history matching of naturally fractured reservoirs[J]. Fractals, 2019, 27(1): 1940008.
15. Kai Zhang*, Xiaopeng Ma, Yanlai Li, Haiyang Wu, Chenyu Cui, Xiaoming Zhang, Hao Zhang, Jun Yao. Parameter prediction of hydraulic fracture for tight reservoir based on micro-seismic and history matching[J]. Fractals, 2018, 26(2): 1840009.
16. Jiang Yunqi, Zhang Huaqing, Zhang Kai*, Wang Jian*, Cui Shiti, Han Jianfa, Zhang Liming, Yao Jun. Reservoir Characterization and Productivity Forecast Based on Knowledge Interaction Neural Network[J]. Mathematics 2022, 10: 1614.

石油工程領域高水平期刊文章：
1. Kai Zhang*, Wenhao Fu, Jinding Zhang, Wensheng Zhou, Chen Liu, Piyang Liu, Liming Zhang, Xia Yan, Yongfei Yang, Hai Sun, Jun Yao. Inversion Framework of Reservoir Parameters Based on Deep Autoregressive Surrogate and Continual Learning Strategy[J]. SPE Journal, 2023, SPE215821
2. Jialin Wang, Kai Zhang*, Liming Zhang, Jian Wang, Wenfeng Peng, Xia Yan, Haochen Wang, Huaqing Zhang, Yongfei Yang, Hai Sun, Piyang Liu, Haichuan Chen, Xiaokun Fang, Adaptive Basis Function Selection Enhanced Multisurrogate-Assisted Evolutionary Algorithm for Production Optimization[J]. SPE Journal, 2023, SPE217432
3. Chengzhe Yin, Kai Zhang, Liming Zhang, Zhenpeng Wang, Piyang Liu, Huaqing Zhang, Yongfei Yang, Jun Yao. Imbalanced Working States Recognition of Sucker Rod Well Dynamometer Cards Based on Data Generation and Diversity Augmentation[J]. SPE Journal. 2023, SPE-214661-PA.
4. Chao Zhong, Kai Zhang*, Xiaoming Xue, Ji Qi, Liming Zhang, Xia Yan, Huaqing Zhang, Yongfei Yang. Historical Window Enhanced Transfer Gaussian Process for Production Optimization [J]. SPE Journal, 2022, SPE-209813-PA.
5. Ji Qi, Kai Zhang*, Xiaoming Xue, Liming Zhang, Chao Zhong, Haochen Wang, Jun Yao. An Evolutionary Sequential Transfer Optimization Algorithm for Well Placement Optimization Based on Task Characteristics[J]. SPE Journal. 2022. SPE-212870-PA.
6. Kai Zhang*, Yanzhong Wang, Guoxin Li, Xiaopeng Ma, Shiti Cui, Qin Luo, Jian Wang, Yongfei Yang, and Jun Yao. Prediction of Field Saturations Using a Fully Convolutional Network Surrogate[J]. SPE Journal. 2021. SPE-205485-PA.
7. Xiaopeng Ma, Kai Zhang*, Jian Wang, Chuanjin Yao, Yongfei Yang, Hai Sun, and Jun Yao. An Efficient Spatial-Temporal Convolution Recurrent Neural Network Surrogate Model for History Matching [J]. SPE Journal, 2021, SPE-208604-PA.
8. Zhang Kai*, Zuo Yuande, Zhao Hanjun, Ma Xiaopeng, Gu Jianwei, Wang Jian, Yang Yongfei, Yao Chuanjin, Yao Jun. Fourier Neural Operator for Solving Subsurface Oil-water Two-phase Flow Partial Differential Equation[J]. SPE Journal, 2022, SPE-209223-PA.
9. Xiaopeng Ma, Kai Zhang*, Liming Zhang, Chuanjin Yao, Jun Yao, Haochen Wang, Jian Wang, Yongfei Yang. Data-driven Niching Differential Evolution with Adaptive Parameters Control for History Matching and Uncertainty Quantification[J]. SPE Journal. 2021, SPE-205014-PA.
10. Faliang Yin, Xiaoming Xue, Chengze Zhang, Kai Zhang*, Jianfa Han, Bingxuan Liu, Jian Wang, Jun Yao. Multifidelity Genetic Transfer: an Efficient Framework for Production Optimization[J]. SPE Journal, 2021, SPE-205013-PA.
11. Haochen Wang, Jianfa Han, Kai Zhang*, Chuanjin Yao, Xiaopeng Ma, Liming Zhang, Yongfei Yang, Huaqing Zhang, Jun Yao. An Interpretable InterFlow Simulated Graph Neural Network For Reservoir Connectivity Analysis [J]. SPE Journal, 2021, SPE-205024-PA.
12. Kai Zhang*, Jinding Zhang, Xiaopeng Ma, Chuanjin Yao, Liming Zhang, Yongfei Yang, Jian Wang, Jun Yao, Hui Zhao. History Matching of Naturally Fractured Reservoirs Using a Deep Sparse Autoencoder[J]. SPE Journal, 2021, SPE-205340-PA.
13. Jun Yao*, Zhihao Li, Lijun Liu, Weipeng Fan, Mingshan Zhang, Kai Zhang*. Optimization of fracturing parameters by modified variable-length particle-swarm optimization in shale-gas reservoir[J]. SPE Journal, 2021, SPE-205023-PA.
14. Xiaopeng Ma, Kai Zhang*, Chuanjin Yao, Liming Zhang, Jian Wang, Yongfei Yang, Jun Yao. Multiscale-Network Structure Inversion of Fractured Media Based on a Hierarchical-Parameterization and Data-Driven Evolutionary-Optimization Method[J]. SPE Journal. 2020, 25(5): 2729-2748.
15. Mengjie Zhao, Kai Zhang*, Guodong Chen, Xinggang Zhao, Jun Yao, Chuanjin Yao, Liming Zhang, Yongfei Yang. A Classification-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Production Optimization under Geological Uncertainty[J]. SPE Journal, 2020, 25(5): 2450-2469, SPE-201229-PA.
16. Guodong Chen, Kai Zhang*, Liming Zhang, Xiaoming Xue, Dezhuang Ji, Chuanjin Yao, Jun Yao, Yongfei Yang. Global and Local Surrogate-Model-Assisted Differential Evolution for Waterflooding Production Optimization[J]. SPE Journal, 2020, 25(1): 105-118, SPE-199357-PA.
17. Xia Yan, Zhaoqin Huang, Jun Yao*, Yang Li, Dongyan Fan, Hai Sun, Kai Zhang. An efficient numerical hybrid model for multiphase flow in deformable fractured-shale reservoirs[J]. SPE Journal, 2018, 23(4): 1412-1437.
18. Wenhui Song, Masa Prodanovic, Javier E Santos, Jun Yao*, Kai Zhang, Yongfei Yang. Upscaling of Transport Properties in Complex Hydraulic Fracture Systems[J]. SPE Journal, 2022: 1-19.
19. Li Yingwen, Yang Yongfei*, Dong Mingzhe, Liu Changfu, Iglauer Stefan, Kang Lixin, Yao Jun, Zhang Kai, Sun Hai, Zhang Lei. Effect of Pore Structure and Capillary Number on Gas-Water Flow Patterns in Carbonate Rocks[J]. SPE Journal, 2022, SPE-209615-PA.
20. Zhang Liming, Wu Jinlian, Zhang Kai, Wang Zhongzheng, Yan Xia, Liu Piyang, Wang Qiang, Fan Ling, Yao Jun, Yang Yongfei, Yu Zhigang. Diagnosis of pumping machine working conditions based on transfer learning and ViT model [J]. Geoenergy Science and Engineering, 226: 211729, 2023.
21. Ji Qi, Yanqing Liu, Yafeng Ju, Kai Zhang, Lu Liu, Yuanyuan Liu, Xiaoming Xue, Liming Zhang, Huaqing Zhang, Haochen Wang, Jun Yao, Weidong Zhang. A transfer learning framework for well placement optimization based on denoising autoencoder [J]. Geoenergy Science and Engineering, 2023, 222:211446.
22. Behzad Saberali, Naser Golsanami*, Kai Zhang*, Bin Gong, Mehdi Ostadhassan. Simulating dynamics of pressure and fluid saturation at grid-scale by a deep learning-based surrogate reservoir modeling based on a fast-supply hybrid database and developing preliminary insights for future gas hydrate exploitations in China[J]. Geoenergy Science and Engineering, 2023, 222:211415
23. Xiaopeng Ma, Kai Zhang*, Hanjun Zhao, Liming Zhang, Jian Wang, Huaqing Zhang,Piyang Liu, Xia Yan, Yongfei Yang. A vector-to-sequence based multilayer recurrent network surrogate model for history matching of large-scale reservoir. Journal of Petroleum Science and Engineering[J], 2022, 214:110548
24. Wang Zhongzheng, Zhang Kai*, Zhang Jinding, Chen Guodong, Ma Xiaopeng, Xin Guojing, Kang Jinzheng, Zhao Hanjun, Yang Yongfei. Deep reinforcement learning and adaptive policy transfer for generalizable well control optimization. Journal of Petroleum Science and Engineering[J], 2022, 217: 110868.
25. Zhang Kai*, Wang Qiang, Wang Lingbo, Zhang Huaqing, Zhang Liming, Yao Jun, Yang Yongfei. Fault diagnosis method for sucker rod well with few shots based on meta-transfer learning[J]. Journal of Petroleum Science and Engineering, 2022, 212: 110295.
26. Qiang Wang, Kai Zhang*, Hanjun Zhao, Huaqing Zhang, Liming Zhang, Xia Yan, Piyang Liu, Ling Fan, Yongfei Yang, Jun Yao. A novel method for trajectory recognition and working condition diagnosis of sucker rod pumping systems based on high-resolution representation learning[J]. Journal of Petroleum Science and Engineering, 2022, 218: 110931.
27. Xiaoming Xue, Guodong Chen, Kai Zhang*, Liming Zhang, Xinggang Zhao, Linqi Song, Menghan Wang, Peng Wang. A divide-and-conquer optimization paradigm for waterflooding production optimization[J]. Journal of Petroleum Science and Engineering, 2022, 211: 110050
28. Xiaopeng Ma, Kai Zhang*, Jinding Zhang, Yanzhong Wang, Liming Zhang, Piyang Liu, Yongfei Yang, Jian Wang. A novel hybrid recurrent convolutional network for surrogate modeling of history matching and uncertainty quantification [J]. Journal of Petroleum Science and Engineering, 2022, 210:110109.
29. Jun Yao, Yandong Nie, Zihao Zhao, Xiaoming Xue, Kai Zhang*, Chuanjin Yao, Liming Zhang, Jian Wang, Yongfei Yang. Self-adaptive multifactorial evolutionary algorithm for multitasking production optimization[J]. Journal of Petroleum Science and Engineering, 2021, 205: 108900
30. Xiaopeng Ma, Kai Zhang*, Liming Zhang, Yanzhong Wang, Haochen Wang, Jian Wang, and Jun Yao. A distributed surrogate system assisted differential evolutionary algorithm for computationally expensive history matching problems [J]. Journal of Petroleum Science and Engineering, 2022, 210:110029.
31. Zhang Kai*, Wang Zhongzheng, Chen Guodong, Zhang Liming, Yang Yongfei, Yao Chuanjin, Wang Jian, Yao Jun. Training effective deep reinforcement learning agents for real-time life-cycle production optimization[J]. Journal of Petroleum Science and Engineering, 2022, 208: 109766.
32. Kai Zhang*, Xiaoya Wang, Xiaopeng Ma, Jian Wang, Yongfei Yang, Liming Zhang, Jun Yao, Jian Wang. The prediction of reservoir production based proxy model considering spatial data and vector data[J]. Journal of Petroleum Science and Engineering, 2022, 208:109694.
33. Zhong Chao, Zhang Kai*, Xue Xiaoming , Qi Ji, Zhang Liming, Yao Chuanjin, Yang Yongfei, Wang Jian, Yao Jun, Zhang Weidong. Surrogate-reformulation-assisted multitasking knowledge transfer for production optimization[J]. Journal of Petroleum Science and Engineering, 2022, 208: 109486.
34. Joshua Kwesi Desbordes, Kai Zhang*, Xiaoming Xue, Xiaopeng Ma, QinLuo, Zhaoqin Huang, Sun Hai, Yao Jun. Dynamic production optimization based on transfer learning algorithms[J]. Journal of Petroleum Science and Engineering, 2022, 208: 109278
35. Kai Zhang*, Xinggang Zhao, Guodong Chen, Mengjie Zhao, Jian Wang*, Chuanjin Yao, Hai Sun, Jun Yao, Wei Wang, Guodong Zhang. A double-model differential evolution for constrained waterflooding production optimization[J]. Journal of Petroleum Science and Engineering, 2021, 207: 109059
36. Jianwei Gu*, Wei Liu, Kai Zhang, Liang Zhai, Yigen Zhang, Fuzhen Chen. Reservoir production optimization based on surrograte model and differential evolution algorithm[J]. Journal of Petroleum Science and Engineering, 2021, 205: 108879.
37. Mengjie Zhao, Kai Zhang*, Guodong Chen, Xinggang Zhao, Chuanjin Yao, Hai Sun, Zhaoqin Huang, Jun Yao. A surrogate-assisted multi-objective evolutionary algorithm with dimension-reduction for production optimization[J]. Journal of Petroleum Science and Engineering, 2020, 192: 107192.
38. Xinggang Zhao, Kai Zhang*, Guodong Chen, Xiaoming Xue, Chuanjin Yao, Jian Wang, Yongfei Yang, Hui Zhao, Jun Yao. Surrogate-assisted differential evolution for production optimization with nonlinear state constraints[J]. Journal of Petroleum Science and Engineering, 2020, 194: 107441.
39. Liming Zhang, Chao Xu, Kai Zhang*, Chuanjin Yao, Yongfei Yang, Jun Yao. Production optimization for alternated separate-layer water injection in complex fault reservoirs[J]. Journal of Petroleum Science and Engineering[J]. 2020, 193: 107409.
40. Guodong Chen, Kai Zhang*, Xiaoming Xue, Liming Zhang, Jun Yao, Hai Sun, Ling Fan, Yongfei Yang. Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization[J]. Journal of Petroleum Science and Engineering, 2020, 185: 106633.
41. Hao Zhang, Kai Zhang*, Liming Zhang, James Sheng, Jun Yao, Jian Wang, Yongfei Yang. Construction and optimization of adaptive well pattern based on reservoir anisotropy and uncertainty[J]. Journal of Petroleum Science and Engineering, 2019, 181: 106252.
42. Kai Zhang, Xiaoming Zhang, Liming Zhang, Jun Yao*, Xia Yan. Inversion of fractures based on equivalent continuous medium model of fractured reservoirs[J]. Journal of Petroleum Science and Engineering, 2017, 151: 496-506.
43. Kai Zhang, Xiaoming Zhang, Wei Ni, Liming Zhang, Jun Yao*, Lixin Li, Xia Yan. Nonlinear constrained production optimization based on augmented Lagrangian function and stochastic gradient[J]. Journal of Petroleum Science and Engineering, 2016, 146: 418-431.
44. Kai Zhang, Ranran Lu, Liming Zhang*, Xiaoming Zhang, Jun Yao, Rupeng Li, Hui Zhao. A two-stage efficient history matching procedure of non-Gaussian fields[J]. Journal of Petroleum Science and Engineering, 2016, 138: 189-200.
45. Kai Zhang, Yuxue Chen, Liming Zhang, Jun Yao*, Wei Ni, Haiyang Wu, Hui Zhao, Jungln Lee. Well pattern optimization using NEWUOA algorithm[J]. Journal of Petroleum Science and Engineering, 2015, 134: 257-272.
46. Kai Zhang, Gaoming Li*, Albert C. Reynolds, Jun Yao, Liming Zhang. Optimal well placement using an adjoint gradient[J]. Journal of Petroleum Science and Engineering, 2010, 73(3-4): 220-226.
47. Kai Zhang*, Hao Zhang, Liming Zhang, Ping Li, Xiaoming Zhang, Jun Yao. A new method for the construction and optimization of quadrangular adaptive well pattern[J]. Computational Geosciences, 2017, 21(3): 499-518.
48. Kai Zhang, Wenjuan Zhang, Liming Zhang, Jun Yao*, Yuxue Chen, Ranran Lu. A study on the construction and optimization of triangular adaptive well pattern[J]. Computational Geosciences, 2014, 18(2): 139-156.

其他文章：
1. Jingqi Lin, Kai Zhang*, Liming Zhang, Piyang Liu, Wenfeng Peng, Huaqing Zhang, Xia Yan, Chen Liu, Yongfei Yang, Hai Sun, Jun Yao. Towards efficient and accurate CO2 sequestration optimization: Integrating hierarchical spatio-temporal information into deep-learning-based surrogate models[J]. Fuel, 2024, 356:129343
2. HaoChen Wang, Kai Zhang*, Nancy Chen**, WenSheng Zhou, Chen Liu, JiFu Wang, LiMing Zhang, ZhiGang Yu, ShiTi Cui, MeiChun Yang. Better use of experience from other reservoirs for accurate production forecasting by learn-to-learn method. Petroleum Science. 2024, 21:716-728
3. Jinding Zhang, Xin Guo, Zihao Zhao, Kai Zhang*, Xiaopeng Ma, Weifeng Liu, Jian Wang, Chen Liu, Yongfei Yang, Chuanjin Yao, Jun Yao. A local parameterization-based probabilistic cooperative coevolutionary algorithm for history matching[J]. Mathematical Geosciences, 2023: 1-30.
4. Jialin Wang, Liming Zhang*, Kai Zhang, Jian Wang, Jianping Zhou, Wenfeng Peng, Faliang Yin, Chao Zhong, Xia Yan, Piyang Liu, Huaqing Zhang, Yongfei Yang, Hai Sun. Multi-surrogate framework with an adaptive selection mechanism for production optimization [J]. Petroleum Science, 2023, ISSN 1995 – 8226
5. Wenhao Fu, Kai Zhang*, Xiaopeng Ma, Piyang Liu, Liming Zhang, Xia Yan, Yongfei Yang, Hai Sun, Jun Yao. Deep Conditional Generative Adversarial Network Combined With Data‐Space Inversion for Estimation of High‐Dimensional Uncertain Geological Parameters[J]. Water Resources Research, 2023, 59(3): e2022WR032553.
6. Zhao Zhang∗, Xia Yan, Piyang Liu, Kai Zhang, Renmin Hana, Sheng Wang. A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media[J]. Journal of Computational Physics, 2023, 477:111919
7. Yunqi Jiang, Wenjuan Shen, Huaqing Zhang, Kai Zhang*, Jian Wang*, and Liming Zhang. An Interpretable Recurrent Neural Network for Waterflooding Reservoir Flow Disequilibrium Analysis[J]. Water, 2023, 15:623
8. Piyang Liu, Kai Zhang*, Jun Yao. Reservoir automatic history matching Methods, challenges, and future directions[J]. Advances in Geo-Energy Research, 2023, 7(2):136-140
9. Yunqi Jiang, Huaqing Zhang, Kai Zhang*, Jian Wang*, Jianfa Han, Shiti Cui, Liming Zhang, Hanjun Zhao, Piyang Liu and Honglin Song. Waterflooding Interwell Connectivity Characterization and Productivity Forecast with Physical Knowledge Fusion and Model Structure Transfer[J]. Water, 2023, 15:218
10. Behzad Saberali, Kai Zhang*, Naser Golsanami*.Data-Driven Proxy Modeling of Water Front Propagation in Porous Media[J]. International Journal of Computational Fluid Dynamics, 2022, DOI: 10.1080/10618562.2022.2153835
11. Haochen Wang, Kai Zhang*, Xingliang Deng, Shiti Cui, Xiaopeng Ma, Zhongzheng Wang, Ji Qi, Jian Wang, Chuanjin Yao, Liming Zhang, Yongfei Yang, Huaqing Zhang. Highly Accurate Oil Production Forecasting under Adjustable Policy by a Physical Approximation Network[J]. Energy Reports, 2022, 8: 14396-14415.
12. Kai Zhang*, Haiqun Yu, Xiaopeng Ma, Jinding Zhang, Jian Wang, Chuajin Yao, Yongfei Yang, Hai Sun, Jun Yao, Jian Wang, Multi-source information fused generative adversarial network model and data assimilation based history matching for reservoir with complex geologies[J], Petroleum Science, 2021,https://doi.org/10.1016/j.petsci.2021.10.007.
13. Dongyan Fan, Hai Sun, Jun Yao, Kai Zhang, Xia Yan, Zhixue Sun. Well production forecasting based on ARIMA-LSTM model considering manual operations[J]. Energy, 2021, 220:119708
14. Xiaoling Gong, Ling Yu, Jian Wang*, Kai Zhang*, Xiao Bai, Nikhil R. Pal. Unsupervised feature selection via adaptive autoencoder with redundancy control[J]. Neural Networks, 2022, 150:87-101
15. Huaqing Zhang, Yunqi Jiang, Jian Wang*, Kai Zhang*, Nikhil R. Pal. Bilateral Sensitivity Analysis: A Better Understanding of a Neural Network and Its Application to Reservoir Engineering[J]. International Journal of Machine Learning and Cybernetics, 2022,https://doi.org/10.1007/s13042-022-01511-z
16. Liming Zhang, Chuangde Zhang, Kai Zhang*, Lei Zhang*, Jun Yao, Hai Sun, Yongfei Yang. Pore‐scale investigation of methane hydrate dissociation using the lattice boltzmann method[J]. Water Resources Research, 2019, 55(11): 8422-8444.
17. Liming Zhang, Ji Qi, Kai Zhang*, Lixin Li, Xiaoming Zhang, Haiyang Wu, Miguel Tome Chipecane, Jun Yao. Calibrate complex fracture model for subsurface flow based on Bayesian formulation[J]. Petroleum Science, 2019, 16(5): 1105-1120.
18. Liming Zhang, Ji Qi, Lixin Li, Kai Zhang*, Zhixue Sun, Yongfei Yang, Qin Luo. A forward modeling method based on electromagnetic theory to measure the parameters of hydraulic fracture[J]. Fuel, 2019, 251: 466-473.
19. Liming Zhang, Zekun Deng, Kai Zhang*, Tao Long, Joshua Kwesi Desbordes, Hai Sun, Yongfei Yang. Well-placement optimization in an enhanced geothermal system based on the fracture continuum method and 0-1 programming[J]. Energies, 2019, 12(4): 709.
20. Liming Zhang, Chenyu Cui, Kai Zhang*, Yi Wang, Zhixue Sun, Jun Yao, Qin Luo. Reducing fracture prediction uncertainty based on time-lapse seismic (4D) and deterministic inversion algorithm[J]. International Journal for Uncertainty Quantification, 2019, 9(2): 187-204.
21. Liming Zhang, Kai Zhang*, Yuxue Chen, Meng Li, Jun Yao, Lixin Li, Jungln Lee. Smart well pattern optimization using gradient algorithm[J]. Journal of Energy Resources Technology, 2016, 138(1): 012901.
22. Kai Zhang, Liming Zhang, Jun Yao*, Yuxue Chen, Ranran Lu. Water flooding optimization with adjoint model under control constraints[J]. Journal of Hydrodynamics, 2014, 26(1): 75-85.
23. 張凱，趙興剛，張黎明, 張華清, 王浩臣, 陳國棟, 趙孟傑, 薑雲啟, 姚軍．智能油田開發中的大數據及智能優化理論和方法研究現狀及展望[J]．中國石油大學學報(自然科學版), 2020, 44(4): 28-38.
24. 馬小鵬, 張凱*, 陳昕晟, 曹慶平, 姚傳進, 穀建偉. 基於集合光滑的深度學習自動曆史擬合方法[J]. 中國石油大學學報(自然科學版), 2020, 44(4):68-76.
25. 王塞塞, 張黎明*, 王建, 吳義誌, 張凱. 基於多目標算法的斷塊油藏生產優化研究[J]. 特種油氣藏, 2019, 26(5): 124-129.
26. 張凱, 馬小鵬, 王增飛, 劉凡, 馬瑋, 姚軍. 一種強非均質性油藏自動曆史擬合混合求解方法[J]. 中國石油大學學報(自然科學版), 2018, 42(5): 89-97.
27. 張凱, 張秀清, 張黎明, 張進, 孫海, 黃朝琴, 姚軍. 基於改進的同步擾動隨機逼近算法的聚表二元驅優化[J]. 中國石油大學學報(自然科學版), 2017, 41(5): 102-109.
28. 張凱, 龍濤, 吳義誌, 李萍, 尚洋洋, 張黎明. 斷塊油藏高部位剩餘油徑向鑽孔產能預測[J]. 油氣地質與采收率, 2017, 24(5): 120-126.
29. 姚軍*, 孫致學, 張凱, 曾青東, 嚴俠, 張敏. 非常規油氣藏開采中的工程科學問題及其發展趨勢[J]. 石油科學通報, 2016, 1(1): 128-142.
30. 張凱, 吳海洋, 徐耀東, 張黎明, 張文娟, 姚軍. 考慮地質及開發因素約束的三角形井網優化[J]. 中國石油大學學報(自然科學版), 2015, 39(4): 111-118.
31. 張凱, 路然然, 張黎明, 薑凱亮, 李愛芬. 多層合采油藏啟動壓力及層間幹擾[J]. 大慶石油地質與開發, 2014, 33(6): 57-64.
32. 張凱, 路然然, 張黎明, 張龍, 姚軍. 基於序列二次規劃算法的油藏動態配產配注優化[J]. 油氣地質與采收率, 2014, 21(1): 45-50+113-114.
33. 姚軍, 魏紹蕾, 張凱, 蔣金奎. 考慮約束條件的油藏生產優化[J]. 中國石油大學學報(自然科學版), 2012, 36(2): 125-129+135.
34. 閆霞*, 李陽, 姚軍, 張凱. 基於流線EnKF油藏自動曆史擬合[J]. 石油學報, 2011, 32(3): 495-499.
35. 張凱, 姚軍, 張黎明, 羅琴, 潛歡歡. 水驅高效開發注采策略優化[J]. 係統工程理論與實踐, 2010, 30(8): 1506-1513.
36. 閆霞, 張凱, 姚軍, 李陽. 油藏自動曆史擬合方法研究現狀與展望[J]. 油氣地質與采收率, 2010, 17(4): 69-73+115-116.
37. 張凱, 姚軍, 劉均榮, 吳明錄, 閆霞. 油藏動態實時監測與調控[J]. 石油礦場機械, 2010, 39(4): 4-8.
38. 張凱, 李陽, 姚軍, 劉均榮, 閆霞. 油藏生產優化理論研究[J]. 石油學報, 2010, 31(1): 78-83.
39. 張凱, 姚軍, 劉順, 段友智, 陳小飛, 趙政權. 埕島油田6A+B區塊油藏動態調控[J]. 中國石油大學學報(自然科學版), 2009, 33(6): 71-76+86.
40. 張凱, 姚軍, 徐暉, 孫洪亮, 劉均榮. 油田智能生產管理技術[J]. 油氣田地麵工程, 2009, 28(12): 62-63.
41. 劉均榮, 姚軍, 張凱. 智能井技術現狀與展望[J]. 油氣地質與采收率, 2007(6): 107-110+118.

1. 一種基於遷移學習的油井酸化措施效果預測方法；
2. 一種聯動智能注采裝置的差異化實時注采優化調控方法；
3. 一種基於深度學習的油井增產措施優選及效果預測方法；
4. 一種基於聚類算法和WideDeep網絡的油井合理沉沒度確定方法；
5. 一種降低開發風險的機器學習離線代理模型生產優化方法；
6. 一種適用於低滲透裂縫性油藏的快速模擬及優化方法；
7. 一種考慮時序性及細分任務的自適應代理策略優化方法；
8. 一種基於深度自回歸網絡和持續學習策略的曆史擬合方法；
9. 智能油田注采實時優化與調控係統及方法；
10. 一種基於生成式對抗神經網絡的示功圖故障診斷方法；
11. 一種基於傅裏葉變換和幾何特征提取的有杆泵工況診斷方法；
12. 一種基於色譜分離的三元複合驅注采優化方法；
13. 基於遷移學習的油藏自動曆史擬合係統與方法；
14. 基於卷積傅裏葉神經網絡的三維地下油藏動態預測方法；
15. 一種基於元遷移學習的小樣本有杆泵井工況診斷方法；
16. 基於卷積編碼器-解碼器網絡的剩餘油分布預測方法；
17. 一種基於高分辨率表征學習的抽油機運行軌跡模擬方法；
18. 基於小波神經算子網絡模型剩餘油飽和度和壓力預測方法；
19. 一種基於自回歸網絡模型的剩餘油分布預測方法；
20. 一種基於多尺度油藏模型的多保真注采優化方法；
21. 一種基於傅裏葉變換和幾何特征的有杆泵工況診斷方法；
22. 基於非均質流場表征的注采關係優化方法；
23. 基於深度自編碼器的自動曆史擬合優勢通道參數預測方法；
24. 一種基於並行代理模型的油藏生產機器學習方法；
25. 考慮非達西流動的油藏注采能力圖版繪製方法；
26. 基於微地震數據和SPSA優化算法的震源反演方法；
27. 一種基於梯度算法的自適應井網優化方法；
28. 考慮層間幹擾的多層油藏分層配注方法。

2007-2008，美國Tulsa大學博士聯合培養

招生專業：油氣田開發工程
招生方向：（1）智能優化與機器學習方法；（2）智能油田開發理論與方法；（3）油田大數據分析與技術；（4）油田信息化與軟件技術；（5）油藏數值模擬與非常規油氣開發。
歡迎有誌於智能油田開發理論與技術研究及應用的同學報考！