Risk-based maintenance scheduling in offshore operations

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Increasing complexity and demands on the safety and integrity of offshore installations requires a risk-based approach for the optimization and management of resources and physical assets. It is of great importance for the oil and gas industries operating in harsh environments to have highest level of safety, due to the challenge of harsh operating conditions and uncertainty of the degradation mechanism and integrity. This PhD research project would focus on the development of engineering models using advanced probabilistic techniques integrated within a risk-based framework to help answering the following important questions:

  • What is the current status (i.e. integrity) of an asset?
  • What is the expected remaining life of an asset?
  • When should the next inspection be conducted? What data should be collected? What inspection method or tool should be used at least cost with greatest utility?
  • What are the engineering and scheduling requirements for maintenance procedures and mitigation techniques to be used?
  • How effective is the inspection and maintenance in reducing the risk?

The answers to these questions would help the operator in making a well-informed decision which will result in more effective maintenance management, higher level of safety, improved asset integrity and reduced uncertainty. The proposed methodology in Risk-based Integrity Assessment (RIA) will integrate engineering models to assess material degradation, structural integrity and system reliability. The outcome will define engineering requirements and obtain optimum inspection and maintenance schedules for maintaining the integrity of offshore structures.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates;
  • The degree must be undertaken on a full-time basis;
  • Applicants must already have been awarded a First-Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector;
  • Advanced Knowledge of probabilistic techniques in engineering applications
  • Basic knowledge of asset integrity management
  • Knowledge of computer programming with MATLAB

Applicants with the following skills will rank highly:

  • In-depth Knowledge of corrosion engineering particularly corrosion phenomena in sewer pipelines.
  • Knowledge of using different machine learning techniques.

For More Information

Please contact Dr Vikram Garaniya for more information.