Nan Zhang

Forsker i informasjonsteknologi

Nan Zhang

Kontakt

E-post: nan.zhang@uis.no

Sted: KE E-435

Organisasjonsenhet

Det teknisk-naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

Dr. Nan Zhang is an IT Researcher at the Computer Science Department, University of Stavanger, Norway, with a focus on digital solutions for subsurface challenges in the energy sector. She holds a Ph.D. and MSc in Petroleum Engineering from Memorial University of Newfoundland, Canada. Her expertise encompasses the integration of reservoir engineering with advanced digital technologies for enhanced industry applications. Dr. Zhang is recognized for her contributions to pivotal projects like the PETROMAKS2 Automated Well Monitoring and Control, and the National Centre for Sustainable Subsurface Utilization of the Norwegian Shelf (NCS2030) Federated Knowledge Cloud.

Publikasjoner

Vitenskapelige publikasjoner

Seo, Jungwon; Zhang, Nan; Chunming, Rong

(2024)

Flexible and secure code deployment in federated learning using large language models : Prompt engineering to enhance malicious code detection. I: 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

IEEE conference proceedings.

ISBN 979-8-3503-3982-6.

s.341-349.

DOI: 10.1109/CloudCom59040.2023.00062

Liu, Ye; Yang, Shuopeng; Zhang, Nan; Cao, Jie; Guo, Chao

(2024)

Simulation Enhancement GAN for Efficient Reservoir Simulation at Fine Scales.

Mathematical Geosciences.

ISSN 1874-8961.

DOI: 10.1007/s11004-024-10136-7

Han, Bo; Gao, Hui; Zhai, Zhiwei; You, Yang; Zhang, Nan; Wang, Chen; Cheng, Zhilin; Li, Teng

(2024)

Production Characteristics and Importance of Uncertain Parameters of Water Huff-n-Puff for Volume Stimulation Horizontal Wells in Tight Oil Reservoirs.

Journal of energy engineering.

ISSN 0733-9402.

Volum 150.

Hefte 3.

DOI: 10.1061/JLEED9.EYENG-5202

Xue, Junjie; Gao, Hui; Ma, Zhanguo; Shi, Huaqiang; Li, Xiaoling; Li, Teng; Cheng, Zhilin; Wang, Chen; Li, Pan; Zhang, Nan

(2024)

Analyzing the Microscopic Production Characteristics of CO2 Flooding after Water Flooding in Tight Oil Sandstone Reservoirs Utilizing NMR and Microscopic Visualization Apparatus.

Atmosphere.

ISSN 2073-4433.

Volum 15.

Hefte 4.

DOI: 10.3390/atmos15040487

Cui, Boyu; Chen, Lejun; Zhang, Nan; Shchipanov, Anton; Demyanov, Vasily; Rong, Chunming

(2023)

Review of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells.

Energies.

ISSN 1996-1073.

Volum 16.

Hefte 4.

DOI: 10.3390/en16041689

Zhang, Nan; Andersen, Pål Østebø; Rong, Chunming

(2023)

A Control Volume Material Balance Approach and Its Applications to Real-Time Flow Diagnostics. I: SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition June 5–8, 2023 Vienna, Austria.

Society of Petroleum Engineers.

ISBN 978-1-61399-991-2.

DOI: 10.2118/214428-MS

Xue, Junjie; Gao, Hui; Wen, Xiaoyong; Wang, Meiqiang; Cheng, Shilin; Wang, Chen; Li, Teng; Han, Bo; Luo, Kaiqing; Zhang, Nan

(2023)

Microscopic Production Characteristics of Huff-n-Puff after CO<inf>2</inf> Flooding in Tight Oil Sandstone Reservoirs.

Energy & Fuels.

ISSN 0887-0624.

DOI: 10.1021/acs.energyfuels.3c02001

Han, Bo; Gao, Hui; Zhai, Zhiwei; Wen, Xiaoyong; Zhang, Nan; Wang, Chen; Cheng, Zhilin; Li, Teng; Wang, Deqiang

(2023)

Study on Oil Composition Variation and Its Influencing Factors during CO<inf>2</inf> Huff-n-Puff in Tight Oil Reservoirs.

Processes.

ISSN 2227-9717.

Volum 11.

Hefte 8.

DOI: 10.3390/pr11082415

Zhu, Xiulan; Wang, Zhiguo; You, Yang; Zhang, Chuang; Gao, Hui; Zhang, Nan; Li, Teng; Wang, Chen; Cheng, Zhilin

(2023)

Investigation of the Effect of Fracturing Fluids on Shale Pore Structure by Nuclear Magnetic Resonance.

Minerals.

ISSN 2075-163X.

Volum 13.

Hefte 11.

DOI: 10.3390/min13111405

Zhang, Nan; Liu, Ye; Geng, Jiahui; Cui, Boyu; Seo, Jungwon; Cao, Jie; Rong, Chunming

(2023)

Cross-domain knowledge discovery and sharing in digital subsurface based on federated learning. I: ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering: Volume 9: Offshore Geotechnics; Petroleum Technology.

The American Society of Mechanical Engineers (ASME).

ISBN 978-0-7918-8691-5.

DOI: 10.1115/OMAE2023-104639

Cui, Boyu; Zhang, Nan; Shchipanov, Anton; Rong, Chunming; Demyanov, Vasily

(2023)

TPMR : A novel method for automated identification of well pressure transients. I: 84th EAGE Annual Conference & Exhibition.

European Association of Geoscientists and Engineers (EAGE).

ISBN 000-00-00000-00-0.

DOI: 10.3997/2214-4609.202310910

Liu, Ye; Zhang, Qidi; Zhang, Nan; Lv, Jintao; Gong, Meichen; Cao, Jie

(2022)

Enhancement of thin-section image using super-resolution method with application to the mineral segmentation and classification in tight sandstone reservoir.

Journal of Petroleum Science and Engineering.

ISSN 0920-4105.

Volum 216.

DOI: 10.1016/j.petrol.2022.110774

Bøker og kapitler

Shchipanov, Anton; Cui, Boyu; Starikov, Vitaly; Muradov, Khafiz; Khrulenko, Alexey A.; Zhang, Nan; Demyanov, Vasily

(2024)

A New Automated Workflow for Well Monitoring Using Permanent Pressure and Rate Measurements (SPE-218470-MS).

Society of Petroleum Engineers.

ISBN 9781959025344.

Cui, Boyu; Shchipanov, Anton; Zhang, Nan; Demyanov, Vasily; Chunming, Rong

(2024)

LMIR - A New Method for Automated Identification of Multi-Rate Pressure Transients.

European Association of Geoscientists and Engineers (EAGE).

ISBN 9789462824980.

Udegbunam, John Emeka; Gonzalez, Reynel

(2023)

A Federated Computational Workflow for Analysis of DISKOS Digital Palynological Slides.

Universitetet i Stavanger.

Formidling

Zhang, Nan; Liu, Ye; Geng, Jiahui; Cui, Boyu; Seo, Jungwon; Cao, Jie; Rong, Chunming

(2023)

Cross-domain knowledge discovery and sharing in digital subsurface based on federated learning.

International Conference on Ocean, Offshore and Arctic Engineering;

2023-06-11 - 2023-06-16.

Kunstnerisk produksjon

Zhang, Nan; Geng, Jiahui; Chunming, Rong

(2022)

Federated Knowledge Cloud Introduction and Demonstration.