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Na Zhang, Female, born in February 1990, native of Yiyang, Hunan Province, Ph.D. in Philosophy, Associate Professor, Master's Supervisor. She was selected for Beijing High-Level Overseas Returning Talent Program and Beijing "High-Level Talent Cultivation Plan" Youth Talent Support Project.

• 2013: dual Bachelor's degrees, China University of Petroleum (Beijing) and Missouri University of Science and Technology (USA)
• 2015: Master's degree, Missouri University of Science and Technology (USA)
• 2019: Ph.D. degree, Missouri University of Science and Technology (USA)
• Dec 2019 – Oct 2020: Senior Data Analyst at the Texas Department of Petroleum Energy (USA).
• Jan 2021 – Oct 2023: Lecturer, Master's Supervisor, the Department of Industrial Engineering at Shandong University of Science and Technology.
• Nov 2023 – Present: Faculty member at the Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology.

Her research focuses on intelligent decision-making in energy engineering. She has led over 10 research projects, including those funded by the National Natural Science Foundation of China, the Shandong Provincial Natural Science Foundation, the Shandong University of Science and Technology "Elite Program," and industry-sponsored projects. Until now, she has published 18 high-level academic papers as first author or corresponding author, 15 of which are indexed in SCI/EI. She holds 5 authorized national invention patents and 2 software copyrights.

I. Main Research Areas

1. Intelligent decision-making for carbon sequestration and efficient utilization.
2. Risk assessment methods for smart oil and gas fields.

II. Awards and Honors

1. Beijing "High-Level Talent Cultivation Plan" Youth Talent Support Project, 2025.
2. Beijing High-Level Overseas Returning Talent, 2024.
3. Outstanding Advisor, National College Business Elite Challenge Innovation and Entrepreneurship Competition – Business Simulation Track, 2023.
4. Third Prize (Advisor), China College Mechanical Engineering Innovation and Creativity Competition, 2022.

III. Research Projects

1. National Natural Science Foundation Project, Principal Investigator, Jan 2023 – Dec 2025.
2. Shandong Provincial Natural Science Foundation Project, Principal Investigator, Jan 2022 – Dec 2024.
3. Ministry of Industry and Information Technology Project, Principal Investigator, Nov 2025 – Nov 2026.
4. Zhiyuan Foundation Key Project, Principal Investigator, Jan 2025 – Dec 2027.
5. Industry-Sponsored Project 1, Principal Investigator, Nov 2025 – Dec 2027.
6. Industry-Sponsored Project 2, Principal Investigator, Jul 2022 – Dec 2022.
7. CNPC Commissioned Project 1, Principal Investigator, Jul 2021 – Dec 2021.
8. CNPC Commissioned Project 2, Principal Investigator, Jul 2021 – Dec 2024.
9. Shandong University of Science and Technology "Elite Program" Project, Principal Investigator, Jan 2021 – Oct 2023.
10. Texas Department of Petroleum Energy Government Project (USA), Principal Investigator, Dec 2019 – Oct 2020.

IV. Representative Academic Papers

1. Zhang, M., Zhang, N., Ren, D., et al. Novel enhanced oil recovery screening methodologies by implementing improved stacking ensemble learning algorithms[J]. Geoenergy Science and Engineering, 2025, 255, 214104.
2. Zhang, N., Wang, L., Yao, M., et al. Intelligent decision-making for enhanced oil recovery technologies based on digital twin data information[J]. Journal of Xi’an Shiyou University (Natural Science Edition), 2025, 40(04): 40–45+58.
3. Zhang, N., Wei, M., Fan, J., Aldhaheri, M., Zhang, Y., and Bai, B. (2019). Development of a hybrid scoring system for EOR screening by combining conventional screening guidelines and random forest algorithm. Fuel, 256, 115915.
4. Zhang, N., Yin, M., Wei, M., and Bai, B. (2019). Identification of CO2 sequestration opportunities: CO2 miscible flooding guidelines. Fuel, 241, 459–467.
5. Zhang, N., Wei, M., and Bai, B. (2018). Statistical and analytical review of worldwide CO2 immiscible field applications. Fuel, 220, 89–100.

V. Representative Patents and Software Copyrights

1. Zhang, N., Wang, L., Yao, B., et al. Interpretation method and system for predicting oil recovery based on multimodal feature perturbation analysis. ZL202510604962.6.
2. Zhang, N., Zhang, M., Huo, L., et al. Construction method of an intelligent screening decision model for enhanced oil recovery technologies based on improved Stacking. ZL202510197443.2.
3. Zhang, N., Pu, J., Zhang, T., et al. Software for real-time intelligent analysis and risk assessment of seismic data in petroleum exploration and development. 2023SR1714443.
4. Zhang, N., Wang, L., Su, S., et al. Data analysis and intelligent decision-making system for enhanced oil recovery. 2024SR0868387.

VI. Admissions Information
Currently recruiting Master's students in:

• Control Science and Engineering (0811, Academic Degree)
• Electronic Information (0854, Professional Degree)

Students with backgrounds in artificial intelligence, computer science and technology, petroleum engineering, geological engineering, or related fields are warmly welcomed. Ideal candidates should be diligent, innovative, possess strong computer application skills, and have a good command of English.

Contact: nazhang@bipt.edu.cn