Kun Wang

Title: Kun Wang: Innovator in Navigation and Oil Reservoir Technologies

Introduction

Kun Wang is a prominent inventor based in Qingdao, China. He has made significant contributions to the fields of navigation technology and oil reservoir management. With a total of seven patents to his name, Wang's work addresses critical challenges in these areas.

Latest Patents

One of his latest patents is the "GNSS and INS integrated navigation positioning method and system thereof." This innovation focuses on improving the accuracy and reliability of integrated navigation systems, particularly in environments where GNSS signals are weak or obstructed. By combining a motion constraint algorithm with a neural network algorithm, Wang's method effectively mitigates positioning errors caused by insufficient satellite visibility or strong multipath effects.

Another notable patent is the "Method and system for predicting time-varying principle of waterflooding oil reservoir formation parameters." This invention involves a sophisticated approach to predicting the behavior of oil reservoirs during waterflooding. By building a Tspectrum-pore size relation model and conducting oil-water two-phase flow simulations, Wang's system provides valuable insights into the formation parameters of oil reservoirs.

Career Highlights

Kun Wang has worked with esteemed organizations such as the China University of Petroleum and CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in both navigation and oil extraction technologies.

Collaborations

Wang has collaborated with notable colleagues, including Hui Liu and Ying Xu. Their combined expertise has fostered a productive environment for innovation and research.

Conclusion

Kun Wang's contributions to navigation technology and oil reservoir management exemplify the impact of innovative thinking in solving complex problems. His patents reflect a commitment to enhancing accuracy and efficiency in critical industries.