Previous Page  12 / 32 Next Page
Information
Show Menu
Previous Page 12 / 32 Next Page
Page Background

12

SUBPRO Subsea Production and Processing

Co-supervisor,

Prof. Antoine Rauzy

shore subsea systems) provided by Statoil in

order to improve the use of condition monitoring

for decision making in operation. In the project,

we have identified strong common interests and

possible collaborations with sub-project “Control

for extending component life".

Prognostics and conditionbased maintenance

Project manager and main

PhD supervisor,

Prof. Anne Barros

PhD candidate, Yun Zhang

The objective of this project is to develop a mathe-

matical and algorithmic framework to optimize

the maintenance, inspection and reconfigurations

of subsea systems. Optimization may concern

the design phase (the number and locations of

spare units and sensors to monitor degradation

processes) and the operation phase (the num-

ber and the frequency of maintenance opera-

tions, the maintenance/reconfiguration decisions

made during these operations given degradation

indicators at hand).

During the first year, a literature survey on

condition-based maintenance of topside systems

and on subsea systems (mainly gap analysis) is

performed and a theoretical framework to build

generic models is investigated. This framework

relies on i) stochastic processes and new model-

ling methods for degradation and maintenance,

ii) high level modelling languages to address

complex systems and integrate different models,

iii) optimization techniques. The industry partners

were deeply involved to define studied cases of

interest for condition monitoring and maintenance

optimisation. During the second phase of the

project we will have access to a database (off-

Inputs

Gap analysis and

findings

High level modeling language

Project

A new

modelling

methodology

Maintenance

alternatives and

optimization

Degradation

models for

components

Condition

monitoring

Systems

architecture

Framing

condition

for maintenance

operations

Figure 10. Main tasks of the subproject

The SUBPRO/RAMS research team