Beihang University

Ocean University of China

China University of Petroleum

Qibing Wu

Xincheng Li

Yonghong Liu

Baoping Cai

Xiaoyan Shao

Guijie Liu

Weifeng Ge

Xiaolu Wu

Honghui Wang

Qiang Feng

Rui He

Zhexian Zou

Hongyan Fan

Qilin Wu

The present disclosure belongs to the field of petroleum engineering, and specifically relates to a subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network. The subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network includes three steps: digital twin model establishment, degradation process re-prediction model establishment, and remaining useful life calculation model establishment. The subsea Christmas tree re-prediction system integrating Kalman filter and Bayesian network includes a subsea distribution unit information acquisition subsystem mounted on an subsea distribution unit, a subsea control module information acquisition subsystem mounted on a subsea control module, a subsea valve bank information acquisition subsystem mounted on a subsea valve bank, a wellhead mechanical module information acquisition subsystem mounted on a wellhead mechanical module, a subsea environmental information acquisition module mounted on a subsea control module, and a subsea Christmas tree digital twin subsystem mounted in an overwater control station.

Subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network

Growing community of inventors

Qingdao, China

Qibing Wu