Page 170 - Pipeline Risk Management Manual Ideas, Techniques, and Resources
P. 170

Leak Volume 7/147
               As one approach to assessing relative release rate impacts,   Leak rate is determined  with a worst case line break  sce-
             the leak volume can be approximated by calculating how much   nari-a   full bore rupture. As with the atmospheric dispersion,
             vapor will be released in  IO minutes. Our interest in the leak   choosing this  scenario allows us to incorporate the line size
             volume under this approach is not a contradiction to the earlier   and pressure into the hazard evaluation. A 36-in. diameter high-
             statement of primary dependence on leak rate. The conversion   pressure gasoline line poses a greater threat than a 4-in. diame-
             ofthe leak rate into a volume is merely a convenience under this   ter high-pressure gasoline line, all other factors being equal.
             approach  that  allows  a combined  vapor-liquid release  to  be   This is because the larger line can potentially create the larger
             modeled in a similar fashion (see Appendix B).   spill.
               The highest leak rate occurs when the pressure is the highest   Alternatively, several scenarios of failure hole sizes can be
             and the escape orifice is the largest. This leads to the assump-   evaluated and then combined, as was noted for the vapor release
             tion that, in most cases, the worst case leak rate happens near   modeling. The scenarios  would  represent  the distribution  of
             the instant of pipeline rupture, while the internal pressure is   all possible scenarios and would require that the relative proba-
             still the highest and after the opening has reached its largest   bility of each hole size be estimated. This requires additional
             area. As will be discussed later, the highest leak rate generally   complexity of analysis. However, because this approach incor-
             produces  the  largest  cloud. As  the  leak  rate  decreases,  the   porates the fact that the larger hole size scenarios are usually
             cloud shrinks. As an exception for the case of a dense cloud,   more rare, it better represents the range of possibilities. It also
             vapors may ‘‘slump’’ and collect  in low-lying areas or “roll”   can evaluate scenarios where small amounts, below detection
             downhill and continue to accumulate as the cloud seeks  its   capabilities, are leaked for very long periods and result in larger
             equilibrium size. In modeling the 10-minute release scenario,   total volume spills. This requires evaluation of leak detection
             we  are  conservatively  assuming  that  all  the  vapor  stays   capabilities and the construction of representative scenarios.
             together  in one cloud for the full  10-minute release. We  are   Because the release of a relatively small volume of an incom-
             also conservatively  neglecting  the depressuring  effect  of  10   pressible liquid can depressure the pipeline quickly, the longer
             minutes worth of product leakage. This is done to keep the cal-   term driving force to feed the leak may be gravity and siphon-
             culation simple. The 10-minute interval is chosen to allow a   ing effects or pumping equipment limitations. A leak in a low-
             reasonable time for the cloud to reach maximum size, but not   lying area may be  fed for  some time by  the draining of the
             long  enough  to  be  counting  an  excessive  mass  of  well-   rest  of  the  pipeline,  so the  evaluator  should  find  the  worst
             dispersed material as part of the cloud. The amount of product   case leak  location  for  the  section  being  assessed. The  leak
             released  and  the cloud size will  almost always be  overesti-   rate  should  include product  flow from pumping  equipment.
             mated using the above assumptions. Again, for purposes ofthe   Reliability of pump shutdown following a pipeline  failure is
             relative  risk assessment, overestimation  is not  a problem  as   considered elsewhere.
             long as consistency is ensured. See Appendix B for more dis-   Based on the worst case leak rate and leak location for the
             cussion of leak rate determinations.       section, the relative spill size can be scored according to how
               An alternative approach that avoids some of the calculation   much product is spilled in a fixed time period of, say, 1 hour.
             complexities associated with estimating release quantities is to   Leaks can be (and have been) allowed to continue for more than
             use pressure and diameter as proxies for the release quantities.   1 hour, but leaks can also be isolated and contained in much
             Using a fixed damage threshold (thermal radiation levels; see   shorter periods. The  1-hour period  is therefore arbitrary, but
             page 308), it has been demonstrated that the extent of the threat   will serve our purposes for a relative ranking. This approach
             from a burning release of gas is proportional to pressure and   will distinguish  the more hazardous  situations such as high-
             diameter  [83]. Therefore, pressure  and diameter  are suitable   throughput, large-diameter liquid pipelines in low-lying areas.
             variables for assessing at least one critical aspect of the poten-   In many scenarios, reaction to a liquid spill plays a larger role
             tial consequences from a gas release. As in the first approach,   in  consequence  minimization  than  does  reaction  to  a  gas
             this can incorporate conservative assumptions regarding cloud   release. An adjustment to the spill score can be applied when it
             formation and dispersion.                  can be shown that special capabilities exist that will reliably
               Because  the  immediate  hazards  from  vapor  releases  are   reduce the potential spill size by at least 50%, as is detailed in
             mostly influenced by leak rate, leak detection will not normally   later sections.
             play a large role in risk reduction. One notable exception is a   The consequences arising from various liquid spill volumes
             scenario where leak detection could minimize vapor accumula-   is closely intertwined  with the dispersion  potential  of those
             tion in a confined space.                  volumes. Therefore,  evaluating these  scenarios  is often best
                                                        done by  simultaneously considering spill volume and disper-
             Hazardous liquid spills                    sion,  as  is  discussed  later  in  this  chapter.  Some  modeling
                                                        options are shown inTable 7.6.
             Potential liquid spill size is a variable that depends on factors
             such  as hole  size, system hydraulics,  and the reliability  and   Highly volatile liquid releases
             reaction  times of  safety  equipment  and  pipeline  personnel.
             Safety equipment and operation protocol are covered in other   Calculating  the  quantity  of material released  under  flashing
             sections of the assessment, so the system hydraulics alone are   conditions is a very complex task, due to the quite complex
             used here to rank spill size.              phenomena that take place during such a release. The process
               Based on the expected potential hazards from a liquid spill,   represents  a nonlinear, non-equilibrium  process,  for  at  least
             including pool fire and contamination potential, the spill vol-   part of the episode. Beyond the quantity calculation, the vapor
             ume is a critical variable. Potential spill volume is estimated   cloud generation calculation adds further complications. Many
             from potential leak rates and leak times.   variables such as weather conditions, heat transfer through soil,
   165   166   167   168   169   170   171   172   173   174   175