Now there are many pipelines to deliver liquid-like water diversions in the world. Optimal route for pipeline transportation is a major concern for engineers, economists, and decision makers. Pipeline route selection is governed by many factors such as the shortest distance between supply and demand points, constructability, affordability, environmental impacts, and approachability. There are many methods developed for the pipeline route selection like Gestalt method, land suitability mapping techniques, geographic information systems (GIS), imaging technologies for pipeline mapping with the use of airborne lidar, etc. But these methods, though robust in translating physical constraints into feasible alternatives for route location, have their own pros and cons for applications, which are weak in incorporating the decision maker's preferences. This paper presents an easy approach to route selection with the goal of saving energy and having the shortest distance. The method in this paper makes an attempt to establish a method for the route with minimum energy required with the aid of mathematics computing and GIS or the data coming from Google Earth. This method is demonstrated here through two different case studies of pipe route selection, the Los Angeles aquaduct, the second Los Angeles aquaduct in USA, and water diversion from Palmer to Millbrook Reservoir in Australia. The calculated results are shown and analyzed.