Abstract:
The Subsea blowout preventer (BOP) which is latched to a subsea wellhead is
one of several barriers in the well to prevent kicks and blowouts and it is the
most important and critical equipment, as it becomes the last line of protection
against blowout. The BOP system used in Subsea drilling operations is
considered a Safety – Critical System, with a high severity consequence
following its failure. Following past offshore blowout incidents such as the most
recent Macondo in the Gulf of Mexico, there have been investigations, research,
and improvements sought for improved understanding of the BOP system and
its operation. This informs the need for a systematic re-evaluation of the Subsea
BOP system to understand its associated risk and reliability and identify critical
areas/aspects/components.
Different risk analysis techniques were surveyed and the Failure modes effect
and criticality analysis (FMECA) selected to be used to drive the study in this
thesis. This is due to it being a simple proven cost effective process that can
add value to the understanding of the behaviours and properties of a system,
component, software, function or other. The output of the FMECA can be used
to inform or support other key engineering tasks such as redesigning, enhanced
qualification and testing activity or maintenance for greater inherent reliability
and reduced risk potential. This thesis underscores the application of the
FMECA technique to critique associated risk of the Subsea BOP system.
System Functional diagrams was developed with boundaries defined, a FMECA
were carried out and an initial select list of critical component failure modes
identified. The limitations surrounding the confidence of the FMECA failure
modes ranking outcome based on Risk priority number (RPN) is presented and
potential variations in risk interpretation are discussed.
The main contribution in this thesis is an innovative framework utilising
Multicriteria decision making (MCDA) analysis techniques with consideration of
fuzzy interval data is applied to the Subsea BOP system critical failure modes
from the FMECA analysis. It utilised nine criticality assessment criteria deduced
from expert consultation to obtain a more reliable ranking of failure modes. The MCDA techniques applied includes the technique for order of Preference for
similarity to the Ideal Solution (TOPSIS), Fuzzy TOPSIS, TOPSIS with interval
data, and Preference Ranking Organization Method for Enrichment of
Evaluations (PROMETHEE). The outcome of the Multi-criteria analysis of the
BOP system clearly shows failures of the Wellhead connector, LMRP hydraulic
connector and Control system related failure as the Top 3 most critical failure
with respect to a well control. The critical failure mode and components
outcome from the analysis in this thesis is validated using failure data from
industry database and a sensitivity analysis carried out. The importance of
maintenance, testing and redundancy to the BOP system criticality was
established by the sensitivity analysis. The potential for MCDA to be used for
more specific analysis of criteria for a technology was demonstrated.
Improper maintenance, inspection, testing (functional and pressure) are critical
to the BOP system performance and sustenance of a high reliability level.
Material selection and performance of components (seals, flanges, packers,
bolts, mechanical body housings) relative to use environment and operational
conditions is fundamental to avoiding failure mechanisms occurrence. Also
worthy of notice is the contribution of personnel and organisations (by way of
procedures to robustness and verification structure to ensure standard expected
practices/rules are followed) to failures as seen in the root cause discussion.
OEMs, operators and drilling contractors to periodically review operation
scenarios relative to BOP system product design through the use of a Failure
reporting analysis and corrective action system. This can improve design of
monitoring systems, informs requirement for re-qualification of technology
and/or next generation designs. Operations personnel are to correctly log in
failures in these systems, and responsible Authority to ensure root cause
analysis is done to uncover underlying issue initiating and driving failures.