公开(公告)号：US20190093440A1

公开(公告)日：2019-03-28

申请号：US16087697

申请日：2017-03-22

申请人： University of Houston System

发明人： Matthew Franchek ,  Oussama Hattab ,  Moadh Mallek

IPC分类号： E21B33/06 ,  E21B47/00 ,  G01M13/003 ,  G06F17/50

摘要： Reduced order modeling is used in the present systems and methods for monitoring the health of a system and is particularly useful in monitoring the health and estimating the remaining useful life of blow out preventer (BOP) annular used in an oil or gas well. A reduced order model is a linear low order characterization of the system that describes the annular behavior with a small number of parameters that can be interpreted physically. The reduced order model is then identified and adapted in real-time in order to detect the change in the system behavior and characteristics. This adaptation helps in drawing conclusions on diagnostics and prognostics of the physical system.

公开(公告)号：US11125043B2

公开(公告)日：2021-09-21

申请号：US16087697

申请日：2017-03-22

申请人： University of Houston System

发明人： Matthew Franchek ,  Oussama Hattab ,  Moadh Mallek

IPC分类号： E21B33/06 ,  G01M13/003 ,  E21B47/00 ,  G06F30/20 ,  G06F111/10

摘要： Reduced order modeling is used in the present systems and methods for monitoring the health of a system and is particularly useful in monitoring the health and estimating the remaining useful life of blow out preventer (BOP) annular used in an oil or gas well. A reduced order model is a linear low order characterization of the system that describes the annular behavior with a small number of parameters that can be interpreted physically. The reduced order model is then identified and adapted in real-time in order to detect the change in the system behavior and characteristics. This adaptation helps in drawing conclusions on diagnostics and prognostics of the physical system.