publication . Doctoral thesis . 2014

Risk-based Reliability Assessment of Subsea Control module for Offshore Oil and Gas production

Umofia, Anietie Nnana;
Open Access English
  • Published: 01 Sep 2014
  • Publisher: Cranfield University
  • Country: United Kingdom
Abstract
Offshore oil and gas exploitation is principally conducted using dry or wet tree systems, otherwise called the subsea Xmas tree system. Due to the shift to deeper waters, subsea production system (SPS) has come to be a preferred technology with attendant economic benefits. At the centre of the SPS is the subsea control module (SCM), responsible for the proper functioning and monitoring of the entire system. With increasing search for hydrocarbons in deep and ultra-deepwaters, the SCM system faces important environmental, safety and reliability challenges and little research has been done in this area. Analysis of the SCM reliability then becomes very fundamental...
Subjects
free text keywords: Reliability Assessment, SCM, API 17N, FMECA, Risk priority Number (RPN), Fuzzy TOPSIS, SPS
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Doctoral thesis . 2014
26 references, page 1 of 2

Figure 1 - (a) Subsea market forecast 2014 to 2018, (Douglass Westwood 2014). .......................................................................................................... 1

Figure 2 Subsea development field layout (Pedram 2008)................................ 2

Figure 4 ROV during a subsea operation on a Xmas Tree, courtesy of Oceaneering. ............................................................................................... 4

Figure 5 Subsea Control module (SCM), courtesy of Aker................................ 5

Figure 6 Main causes of production Loss divided in the SPS......................... 6

Figure 7 Research Methodology ....................................................................... 9

Figure 10 A typical Ultra-deepwater architecture using an FPSO, courtesy of Modec........................................................................................................ 16

Figure 14 Define-plan-Implement-Feedback Cycle as presented by API RP 17N............................................................................................................ 27

Table 1 Subsea water depth classification and number of installations worldwide (Ostebo 2001, Offshore Engineer September 2014). ............... 19

Table 5 Definition of Technology Readiness Levels (TRLs), courtesy API17N. .................................................................................................................. 32

Table 6 Technical Risk categorisation (API 17N) ............................................ 36

Table 7 Types of Subsea Control Systems (SCS)........................................... 61

Table 25 - Top10 most critical SCM failure modes based on stochastic evaluation ranking ................................................................................... 164

Table 26 - Top10 most critical failure modes based on Fuzzy TOPSIS ranking ................................................................................................................ 164

Table 27 Linguistic scale for the importance of each risk factor .................... 173

26 references, page 1 of 2
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