This inventor holds 1 USPTO granted patent, plus 1 CIPO patent. Top assignee: Landmark Graphics Corporation. Active years: 2022.
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
Title: Innovations in Hydrocarbon Exploration by Inventor Meng Meng
Introduction
Meng Meng is an accomplished inventor based in Tulsa, OK (US). He has made significant contributions to the field of hydrocarbon exploration and extraction through his innovative use of machine-learning models. His work aims to enhance the efficiency and accuracy of identifying geological bodies in subterranean formations.
Latest Patents
Meng Meng holds a patent for a groundbreaking invention titled "Facilitating hydrocarbon exploration and extraction by applying a machine-learning model to seismic data." This patent describes a system that utilizes seismic data to identify geological bodies in a target area. The system inputs seismic data into a trained machine-learning model, which determines the presence of various geological bodies. The output from this model informs subsequent processing operations that facilitate hydrocarbon exploration or extraction.
Career Highlights
Meng Meng is currently employed at Landmark Graphics Corporation, where he applies his expertise in machine learning to advance hydrocarbon exploration technologies. His innovative approach has positioned him as a key player in the industry, contributing to more effective exploration methods.
Collaborations
Meng has collaborated with notable colleagues, including Zhili Wei and Youli Mao, to further enhance the capabilities of their projects. Their teamwork exemplifies the importance of collaboration in driving innovation within the field.
Conclusion
In summary, Meng Meng's contributions to hydrocarbon exploration through machine learning represent a significant advancement in the industry. His patent and work at Landmark Graphics Corporation highlight the potential of technology to transform traditional methods of resource extraction.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
