Reclamation Information Sharing Environment (RISE)

This research used econometric techniques to evaluate 73 relining jobs for large diameter steel pipe interiors to identify major cost drivers for such relining jobs and to specify a regression model for predicting future relining job costs. Reclamation’s inventory of 121 unrelined penstocks was evaluated with the final model to predict preliminary-level costs for future relining work. An app tool was developed using Microsoft Power Apps as an end-user interface for predicting relining costs based on the final regression model. A subsequent Microsoft Excel tool was developed to share with the study’s contribution partner agencies: Metropolitan Water District, Central Arizona Project, Denver Water, and BC Hydro.