Student, China University of Petroleum, Beijing, China
Su Wang is a dedicated researcher at the China University of Petroleum in Beijing, specializing in fiber-optic monitoring for hydraulic fracturing. Under the supervision of Mian Chen, Wang has made significant contributions to understanding the complexities of hydraulic fracture dynamics. His innovative research employs advanced fiber-optic technologies to monitor strain and deformation in geological formations, providing critical insights that enhance the efficiency and safety of hydraulic fracturing processes.
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Best Research Article Award Application: Su Wang
Su Wang, a researcher from the China University of Petroleum in Beijing, has demonstrated significant expertise in the field of fiber-optic monitoring for hydraulic fracturing. His contributions are pivotal, particularly in understanding the evolution characteristics of fiber-optic strain and its implications for hydraulic fracture behavior. Notably, his publication “Study on the Evolution Characteristics of Fiber-Optic Strain Induced by the Propagation of Bedding Fractures in Hydraulic Fracturing” showcases innovative methodologies that enhance our understanding of fracture dynamics, positioning him as a leader in this emerging research area. Wang’s work is characterized by rigorous experimental design and insightful analyses, highlighting the interplay between geological structures and fiber-optic technology.
Despite these strengths, there are areas for potential improvement. Expanding the scope of research to include multi-dimensional data analysis and integrating machine learning techniques could further enhance the predictive capabilities of his studies. Additionally, fostering interdisciplinary collaborations may provide broader insights into the application of fiber-optic monitoring in various geological settings.
In conclusion, Su Wang’s research represents a valuable contribution to the field of hydraulic fracturing and fiber-optic monitoring. His innovative approach and rigorous methodology make him a strong candidate for the Best Research Article Award. By addressing the identified areas for improvement, he has the potential to elevate his research impact even further, paving the way for advancements in both academic and practical applications within the petroleum industry.
Publications Top Notes
Wang S, Chen M, Lv J, et al. Study on the Evolution Characteristics of Fiber-Optic Strain Induced by the Propagation of Bedding Fractures in Hydraulic Fracturing [J]. Petroleum Science, 2024.
Wang S, Chen M, Hao Y, et al. Evolution Mechanism of Deviated Well Fiber-optic Strain Induced by Single-fracture Propagation during Fracturing in Horizontal Wells [J]. Engineering Fracture Mechanics, 2024. In press.
Wang S, Chen M, Chang Z, et al. Experimental Study on Indoor Multi-cluster Fracturing Based on Distributed Fibre-optical Monitoring [C]. International Geomechanics Symposium, 2023.
Wang S, Chen M, Lv J. Experimental Study on Fiber Strain Evolution Induced by Multi-fracture Propagation in Hydraulic Fracture [J]. China Petroleum Machinery, 2024, 52(8): 101-107.
Wang S, Chen M, Lv J, et al. Characteristics of Fiber-Optic Strain Evolution in Vertical Adjacent Well Induced by Hydraulic Fracture Propagation in Horizontal Well [J]. Journal of Northeast Petroleum University, 2024, 48(4): 1-11.
Zhang K, Ku H, Wang S, et al. Distributed Acoustic Sensing: A Promising Tool for Finger-band Anomaly Detection [J]. Photonics, 2024. In press.
Wang Q, Chen M, Wang S. Dynamic Fracture Conductivity Considering Stress-deformation Behavior of Proppants in Shale Formation [C]. ARMA, 2022.
Hao Y, Chen M, Wang S, et al. Monitoring the Propagating Process of Hydraulic Fracture with Fiber Optic Strain and Strain Rate Technology [C]. ARMA, 2024.
Fang Z, Chen M, Wang S, et al. Geometry of Hydraulic Fractures in Fractured Horizontal Wells in Shale Reservoirs of Jimsar Sag, Junggar Basin [J]. Xinjiang Petroleum Geology, 2024, 45(01): 72-80.
Zhang K, Chen M, Zhao C, Wang S, et al. A Continuous and Long-Term In-Situ Stress Measuring Method Based on Fiber Optic. Part I: Theory of Inverse Differential Strain Analysis [J]. Petroleum Science, 2024, 21(2): 1171-1189.
Zhang Q, Hou B, Chang Z, Wang S, et al. Experimental Study on True Triaxial Hydraulic Fracturing Based on Distributed Fibre-Optical Monitoring [C]. International Geomechanics Symposium, 2022.