This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Schlumberger Technology Corporation. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: The Innovative Contributions of Ji Tang Liu
Introduction
Ji Tang Liu is a notable inventor based in Beijing, China. He has made significant contributions to the field of drilling technology through his innovative patent. His work exemplifies the intersection of machine learning and engineering, showcasing the potential for advancements in operational efficiency.
Latest Patents
Ji Tang Liu holds a patent for a "Dynamic system for field motor operations." This method involves providing a trained drilling motor model that is developed through machine learning, utilizing drilling motor simulation results. The system includes instantiating a motor engine component with an interface in a computational environment. Upon receiving a call via the interface, the system returns drilling motor information based on the trained model, enhancing the operational capabilities of drilling motors.
Career Highlights
Ji Tang Liu is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His role involves leveraging advanced technologies to improve drilling operations. His expertise in machine learning and engineering has positioned him as a valuable asset in his field.
Collaborations
Throughout his career, Ji Tang Liu has collaborated with esteemed colleagues such as Hendrik Suryadi and Paul Bolchover. These collaborations have fostered an environment of innovation and have contributed to the development of cutting-edge technologies in drilling operations.
Conclusion
Ji Tang Liu's contributions to the field of drilling technology through his innovative patent demonstrate the impact of machine learning on engineering practices. His work continues to influence advancements in the industry, showcasing the importance of innovation in operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile