TABLE OF CONTENTS Many approaches are possible for evaluating the relative consequences of a pipeline failure. For each component of the LIF that should be considered, some sample scoring protocols have been presented. Some additional algorithm samples can be found in Appendix E and the case studies of Chapter 14.
In this sample LIF algorithm, a liquid pipeline operator uses the relationships shown in Table 7.23 to evaluate the LIF. A brief description of the variables used is as follows:
| prod_haz | product hazard, scored as described in this chapter |
| spill | a score ranging from 0 to 1.0 proportional to relative volume of potential release; 1.0 reflects largest volume spill possible in this risk model |
| V1 | volume lost to leak prior to system shut down |
| V2 | volume lost to leak from detection to system isolation |
| V3 | volume lost to leak due to drainage of isolated pipeline section |
| Spread | measure of relative dispersion range |
| Overland | measure of relative dispersion due to surface flows |
| Subsurface | measure of relative dispersion due to subsurface flows |
| Drain | surrogate for drain volume, this is actually the upstream and downstream lengths of pipe that would contribute to a specific leak location, scaled from 0 to 10. |
| Pipe_diameter | pipe diameter |
| Max flow rate | pumped flowrate of product |
| HVA | high value area, as defined in this chapter, susceptible to spill... |
