Jianhong Wu

Title: Innovations of Jianhong Wu in Natural Gas Analysis

Introduction

Jianhong Wu is a notable inventor based in Beijing, China. He has made significant contributions to the field of natural gas analysis through his innovative methods and technologies. His work focuses on enhancing the performance evaluation of natural gas analysis systems, which is crucial for ensuring accuracy and reliability in gas measurements.

Latest Patents

Jianhong Wu holds a patent for a "Performance evaluation method for natural gas analysis system." This method involves obtaining components of a natural gas analysis system, as well as the maximum allowable error and the maximum allowable deviation of the calorific value of each component. The process includes determining components and uncertainties of a standard gas mixture, obtaining a final peak area of each component in each group of standard gas mixture, and acquiring calibration functions of the natural gas analysis system. Additionally, it assesses the uncertainty and calorific value uncertainty of each component, ultimately judging whether the evaluation result from the natural gas analysis system is qualified and providing a performance evaluation conclusion.

Career Highlights

Jianhong Wu is currently employed at Cnooc Gas & Power Group, where he applies his expertise in natural gas analysis. His role involves developing and implementing innovative methods that enhance the efficiency and accuracy of gas analysis systems. His contributions have been instrumental in advancing the technology used in the industry.

Collaborations

Jianhong Wu collaborates with talented professionals in his field, including Chao Zhang and Bing Liu. These partnerships foster a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions in natural gas analysis.

Conclusion

Jianhong Wu's innovative work in natural gas analysis exemplifies the importance of performance evaluation methods in ensuring the accuracy of gas measurements. His contributions not only enhance the reliability of analysis systems but also pave the way for future advancements in the field.