The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 18, 2025
Filed:
Jan. 15, 2025
China University of Petroleum (East China), Qingdao, CN;
Ocean University of China, Qingdao, CN;
China University of Petroleum, Beijing, Beijing, CN;
Baoping Cai, Qingdao, CN;
Xiaoyan Shao, Qingdao, CN;
Yonghong Liu, Qingdao, CN;
Chao Yang, Qingdao, CN;
Yanping Zhang, Qingdao, CN;
Xuelin Liu, Qingdao, CN;
Rui Zhang, Qingdao, CN;
Chenyushu Wang, Qingdao, CN;
Yingying Wang, Beijing, CN;
Wanhai Xu, Tianjin, CN;
Guijie Liu, Qingdao, CN;
Xincheng Li, Yantai, CN;
Qibing Wu, Tianjin, CN;
Lei Gao, Shenzhen, CN;
Weifeng Ge, Tianjin, CN;
Zhongfei Sui, Dongyang, CN;
Zheng Yuan, Tianjin, CN;
China University of Petroleum (East China), Qingdao, CN;
OCEAN UNIVERSITY OF CHINA, Qingdao, CN;
China University of Petroleum, Beijing, Beijing, CN;
Abstract
Provided are an intelligent operation and maintenance optimization method and intelligent production optimization method for an offshore oil subsea production system (SPS), and a system, relating to the field of petroleum engineering. The operation and maintenance optimization method includes: determining whether there is a leak in an SPS; and if there is a leak, performing emergency repair; or if there is no leak, performing intelligent operation and maintenance optimization. The performing intelligent operation and maintenance optimization includes: calculating a static health index of the SPS based on ashore sensor status data and Christmas tree sensor data; obtaining dynamic health indexes at different moments through a Kalman filtering algorithm; and formulating an optimal maintenance strategy for the SPS with optimization objectives of maximizing toughness and minimizing a maintenance cost.