Page 169 - Pipeline Risk Management Manual Ideas, Techniques, and Resources
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7/146 Leak Impact Factor
                  Table 7.4  Effective spill size adjustment factors based on Oh  SMYS of  high pressure gas pipeline'
                                                               % of SMYS
                                             -~   ~~    ~~
                  Toughness                  <40%      50%      60%      70%     >80%
                  Lowest (PVC)                 1        1.5     1.5      1.5      2
                  Low (cast iron)              1        I        I .5    1.5      2
                  Medium (PE, APISLX 60, or higher steel)   1   1   1     1       1.5
                  Base case (A53 Grade B steel)   1     1        1        1       1
                  aUse smaller values when evaluating a liquid pipeline

           useful in gas pipelines, given  the  higher energy level  (and,   and other characteristics that dramatically impact the severity
           hence, the higher possibility for catastrophic failures) associ-   ofthe spill.
           ated with compressed gases.                 In both release cases, liquid or vapor, leak detection can play
                                                      a  role  in  potential  risks.  This  is  discussed  briefly  under
           Release models                             Dispersion in a subsequent section and also in Chapter 1 1.
           An  underlying premise in risk  assessment is that larger spill   Hazardous vapor releases
           quantities lead  to greater  consequences. In  addition to  spill
           size, the evaluator must identify what kinds of hazards might be   In an initial risk assessment for most general purposes, it is
           involved since some are more sensitive to release rate, while   suggested that a leak scenario of a complete line failure-a
           others are more sensitive to  total volume  released. The rate   guillotine-type shear failure-should   be  used  to  model the
           of release  is the  dominant mechanism for most  short-term   worst case leak rate. This type of failure causes the leak rate to
           thermal damage potential scenarios, whereas the volume of   be calculated based on the line diameter and pressure. Even
           release is the dominant mechanism for many contamination-   though this type of line failure is rare, the risk assessment is still
           potential scenarios. Table  7.5 shows some common pipeline   valid. By consistency of application, we can choose any hole
           products  and  how  the  consequences  should  probably  be   size and leak rate. We are simply choosing one here that serves
           modeled. Each of the modeling types shown in Table 7.5 are   the dual role of incorporating the factors of pipe size and line
           discussed in this chapter.                 pressure directly into rating vapor release potential.
             Because potential  spill sizes are so variable and because   Alternatively,  several scenarios of failure hole sizes can be
           different spill characteristics will be of interest depending on   evaluated and then combined. These scenarios could represent
           the product type, it is useful to create a spill score to represent   the distribution of all possible scenarios and would require that
           the relative spill threat. To  assess a spill score, the evaluator   the  relative  probability  of  each  hole  size  be  estimated. This
           must  first  determine  which  state  (vapor or  liquid)  will  be   requires additional complexity of analysis. However, because this
           present after a pipeline failure. If both states exist, the more   approach incorporates the fact that the larger hole size scenarios
           severe hazard should govern or the spill can be modeled as a   are usually rare, it better represents the range of possibilities.
           combination of vapor and liquid (see Appendix B).   Having determined the failure hole sizes to be used in the
             Even though the difficult-to-predict dispersion characteris-   assessment, the vapor release scenario also needs estimates for
           tics of a vapor release appear more complex than a liquid spill,   the  characteristics that  will  determine  the  potential  conse-
           the liquid spill is actually more challenging to model. The vapor   quences from the release. As discussed previously, the threats
           release scenarios lend themselves to some simplifying assump-   from a vapor release are generally more dependent on release
           tions and the use of a few variables to use as substitutes for the   rate than release volume, because the immediate vapor cloud
           complex dispersion models. Liquid spills, on the other hand,   formation and thermal effects from jet fires are of most con-
           are more difficult to generalize because there are infinite possi-   cern. Exceptions exist, of course, most notably scenarios that
           bilities of variables such as terrain, topography, groundwater,   involve accumulation of vapors in confined areas.


           Table 7.5  Common pipeline products and modeling of consequences

           Product                Hazard iype    Hazardnature        Dominant hazard model
           Flammable gas (methane, etc.)   Acute   Thermal           Jet fire; thermal radiation
           Toxic gas (chlorine,  H,S,  etc.)   Acute   Toxicity      Vapor cloud dispersion modeling
           Highly volatile liquids (propane,   Acute   Thermal and blast   Vapor cloud dispersion modeling; jet fire;
             butane, ethylene, etc.)                                  overpressure (blast) event
           Flammable liquid (gasoline, etc.)   Acute and chronic   Thermal and contamination   Pool fire; contamination
           Relatively nonflammable liquid   Chronic   Contamination   Contamination
             (diesel, fuel oil, etc.)
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