Company Filing History:
2 out of 25 
1 out of 147 Years Active: 2024
Title: Innovations of Inventor Xia Yan
Introduction
Xia Yan is a notable inventor based in Qingdao, China. He has made significant contributions to the field of oil reservoir injection-production technologies. With a total of 2 patents, his work focuses on optimizing production methods and predicting permeability in multi-mineral phases.
Latest Patents
Xia Yan's latest patents include a "Differentiated real-time injection-production optimization adjustment method of intelligent injection-production linkage device." This method aims to enhance oil reservoir injection-production technologies by initializing networks and building an injection-production environment model. It involves reading initial states, writing files through an injection-production policy network, and updating parameters until an optimal model is achieved.
Another significant patent is the "Method for predicting permeability of multi-mineral phase digital core based on deep learning." This innovative approach constructs a three-dimensional digital core and utilizes image segmentation to acquire multi-mineral digital core images. By employing a convolutional neural network, the method predicts the permeability of the multi-mineral core, showcasing the integration of deep learning in geological studies.
Career Highlights
Xia Yan has worked at prominent institutions such as the China University of Petroleum and Qingdao University of Technology. His experience in these organizations has allowed him to develop and refine his innovative methods in the field of petroleum engineering.
Collaborations
Xia has collaborated with notable colleagues, including Kai Zhang and Hai Sun, who have contributed to his research and development efforts.
Conclusion
Xia Yan's contributions to the field of oil reservoir technologies and deep learning methods for permeability prediction highlight his innovative spirit and dedication to advancing engineering practices. His patents reflect a commitment to improving efficiency and accuracy in oil production processes.