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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