  Predictions of corrosions in pipelines are valuable. Based on the available
data sets, it is critical and useful, for example in preventive maintenance.
This paper deals with this problem by two powerful statistical tools, i.e.
theory of records and non-homogeneous Poisson process, for modeling location of
corrosions. These methods may be used for comparing performances of different
pipelines via a quantitative approach. For illustration purposes, we applied
the obtained results for a real pipeline in order to prediction the next
corrosions based on the available data. Finally, some concluding results and
further remarks are given.
