Research Areas

[1] Foam Fluids for Oil and Gas Development


[2] CO2 Capture, Utilization, and Storage (CCUS)


[3] Clean Fracturing for Unconventional Reservoirs


[4] Nanofluids for Enhanced Oil Recovery


[5] Artificial Intelligence (AI)

Education

2016-2017, Ph.D., Chemical and Petroleum Engineering, University of Calgary, Canada


2012-2018, Ph.D., Oil and Gas Field Development Engineering, China University of Petroleum, China.


2008-2012, B.S., Petroleum Engineering, China University of Petroleum, China.

Introduction of Teacher

Dr. Qichao Lv is a doctoral supervisor and leader of enhanced oil recovery research institute at China University of Petroleum-Beijing (CUPB). He was employed as a top talent of China University of Petroleum-Beijing at 2018. Now he is the director of CUPB innovation lab for carbon sequestration and utilization for oil development, vice chair of national key laboratory for oil and gas testing in petroleum and chemical industry. Recent years, he has been in charge of more than 20 important scientific projects such as the projects supported by National Natural Science Foundation of China (NSFC), National Science Foundation for International Talent Experts, National Science Foundation for Talent Exchange in Belt and Road Initiative, Petrochina Innovation Foundation, et al. He has published more than 60 papers and obtained about 30 China invention patents and 4 US invention patents. He is the evaluation expert of the National Natural Science Foundation, degree center of the Ministry of Education, China.



Professional Employment:

2021-present, Leader of enhanced oil recovery research institute at China University of Petroleum-Beijing

2021-present, Director of CUPB innovation lab for carbon sequestration and utilization for oil development

2021-present, Vice chair of national key laboratory for oil and gas testing in petroleum and chemical industry

2022-present, Editor in Journal of PETROLEUM SCIENCE

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.

Patents

[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.