معرفی
Dongmei Wang is an Associate Professor at the Harold Hamm School of Geology and Geological Engineering, University of North Dakota (UND). She holds a Ph.D. in Oil & Gas Reservoir Engineering from RIPED/China and a B.S. in Computer Science from Daqing Petroleum Institute. With over 20 years of industry experience at PetroChina, she led 40+ reservoir engineering projects and pioneered the world's largest Enhanced Oil Recovery (EOR) application.
Her research focuses on:
- Enhanced Oil Recovery for conventional/unconventional resources
- Geothermal reservoir optimization (EGS)
- Reservoir numerical simulation and economic evaluation
- Surfactant/polymer processes for tight formations
- Soil remediation technologies
Her publications emphasize polymer flooding, geothermal efficiency, and machine learning in petrophysics, with recurring themes of field-scale applications and economic viability in energy extraction.
Awards & Honors:
- Six-time SPE Outstanding Technical Editor (2015–2019)
- 2024 SPE 'A Peer Apart' Honor
- Daqing Oil Field innovation awards for EOR breakthroughs
- Top 10 Woman Scientist recognitions (2002–2004)
She advises 7+ graduate students and secured $2M+ in grants (DOE, NDIC, industry) for projects on geothermal sweep efficiency, heavy oil EOR, and Bakken resource recovery. She collaborates with national labs and leads UND's geothermal consortium.
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