研究领域

[1] 泡沫流体高效开采油气理论与技术

[2] CO2封存与油气开采利用理论与技术

[3] 非常规油气藏储层改造理论与技术

[4] 油水井增产增注及提高采收率新技术

科研项目

[1]国家自然科学基金面上项目（国家自然科学基金委员会），Janus纳米铠甲强化的CO2泡沫流度控制体系构建及动态稳定机理研究，2023，主持.
[2]国家自然科学基金青年科学基金项目（国家自然科学基金委员会），纳米铠甲稳定的CO2干泡沫压裂液流变特征及滤失机理研究，2020，主持.
[3]国家高端外国专家引进计划项目（国家科技部），人工智能辅助CO2无水压裂-采油-封碳一体化关键理论和技术，2023，主持.
[4]国家高端外国专家引进计划项目（国家科技部），多尺度渗流理论及人工智能辅助CO2地质封存关键科学技术研究，2022，主持.
[5]国家“一带一路”创新人才交流外国专家项目（国家科技部），中东碳酸盐岩油藏人工智能辅助CO2-EOR关键科学技术研究，2022，主持.
[6]国家外国专家个人类项目，智能绿色泡沫流体采油-封碳一体化关键理论与技术研究，2024，主持.
[7]教育部春晖计划合作科研项目（国家教育部），面向碳封存与驱油利用的超干纳米铠甲CO2泡沫体系构建及流度控制机理研究，2023，主持.
[8]中国石油科技创新基金项目，页岩油储层无水泡沫压裂液体系构建及其增能提采机制研究，2019，主持.
[9]中国石油大学（北京）青年拔尖人才引进基金项目，PM2.5强化的泡沫压裂液体系研究，2018，主持.
[10]中国石油大学（北京）科研基金项目，超干纳米铠甲空气泡沫稳定机制及渗流规律研究，2020，主持.

专利

[1]Qichao Lv, Wenqi Shao, Juan Zhang, et al. Ultra-dry three-phase flue gas foam for oil- gas fields and preparation method thereof. 美国发明专利授权, 专利号：US10,793,763 B2 2020.10.
[2]Qichao Lv, Tongke Zhou, Rong Zheng, et al. Foam fracturing fluid with double interface layers of a phlogisticated air-liquid CO2 for shale gas production and preparation method thereof. 美国发明专利授权, 专利号：US10,934,467 B2, 2021.3.
[3]Qichao Lv, Rong Zheng, Tongke Zhou, et al. Waterless foam generator for fracturing shale oil and gas reservoirs and use thereof. 美国发明专利授权, 专利号：US 10,961,830 B1, 2021.3.
[4]Qichao Lv, Longxuan Li, Tongke Zhou, et al. Infinitely expandable modular visual device for simulation of flow in porous media. 美国发明专利授权, 专利号：US 12,130,221 B1, 2024.10.
[5]Qichao Lv, Tongke Zhou, Abdolhossein Hemmati-Sarapardeh, et al. Environment-friendly reinforced foam for underground hydrogen storage and preparation method thereof. 美国发明专利授权, 专利号：US 12,157,804 B2, 2024.12.
[6]吕其超，左博文，董朝霞. 一种油田特高含水期粉煤灰强化多相复合调驱方法. 国家发明专利授权, 专利号: ZL 201911212047.3, 2020.9.
[7]吕其超，周同科，董朝霞. 一种致密气藏压裂液可视化动态滤失及排采模拟装置及模拟方法. 国家发明专利授权, 专利号: ZL 202010222446.4, 2020.10.
[8]吕其超，郭心舒，周同科，等. 一种多向多层全直径裂缝岩心渗流模拟装置及其应用. 国家发明专利授权, 专利号: ZL 202011643748.5, 2022.6.
[9]吕其超，栾英婷，魏成杰，等. 一种油田用气凝胶颗粒-二氧化碳-水基三相泡沫体系及其应用. 国家发明专利授权, 专利号: ZL 202011273120.0, 2021.7.
[10]吕其超，周同科，张民康，等. 一种油田用气凝胶颗粒强化泡沫发生装置及其应用. 国家发明专利授权, 专利号: ZL 202110630458.5, 2022.5.

Publications

[1]Qichao Lv, Haimin Zheng, Xiaochen Li, et al. On the evaluation of coal strength alteration induced by CO2 injection using advanced black-box and white-box machine learning algorithms. SPE Journal, 2024, 29 (03): 1672–1691.
[2]Qichao Lv, Ali Rashidi-Khaniabadi, Rong Zheng, et al. Modelling CO2 diffusion coefficient in heavy crude oils and bitumen using extreme gradient boosting and Gaussian process regression. Energy, 2023, 275: 127396.
[3]Qichao Lv, Tongke Zhou, Yingting Luan, et al. A green aqueous foam stabilized by cellulose nanofibrils and camellia saponin for geological CO2 sequestration. Journal of Cleaner Production, 2023, 406: 136980.
[4]Qichao Lv, Tongke Zhou, Haimin Zheng, et al. Application of group method of data handling and gene expression programming to modeling molecular diffusivity of CO2 in heavy crudes. Geoenergy Science and Engineering, 2024, 237: 212789.
[5]Qichao Lv , Zhaomin Li, Xiaochen Li, et al. Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity. International Journal of Hydrogen Energy, 2024, 72: 1127-1142.
[6]Qichao Lv, Tongke Zhou, Haimin Zheng, et al. Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state. International Journal of Hydrogen Energy, 2024, 57: 637-650.
[7]Qichao Lv, Rong Zheng, Xinshu Guo, et al. Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and enhanced oil recovery, Separation and Purification Technology, 2023, 310: 123086.
[8]Qichao Lv, Tongke Zhou, Rong Zheng, et al. Application of group method of data handling and gene expression programming for predicting solubility of CO2-N2 gas mixture in brine, Fuel, 2023, 332: 126025.
[9]Qichao Lv, Jinglei Xue, Xiaochen Li, et al. White-box machine-learning models for accurate interfacial tension prediction in hydrogen–brine mixtures, Clean Energy, 2024, 8(5): 252-264.
[10]Qichao Lv, Rong Zheng, Tongke Zhou, et al. Visualization study of CO2-EOR in carbonate reservoirs using 2.5D heterogeneous micromodels for CCUS[J]. Fuel, 2022, 330: 125533.