Building a Spatial Decision Support System for Natural Gas Pipeline Risk

Access Midstream requires a pipeline risk model that can manage processing spatial and non-spatial data for over 6,500 miles of pipeline across 7 different states. The model needs to accurately calculate the probability of pipeline failure and the potential consequences to the environment, the public, and to operations. This presentation describes the technical challenges in building the solution and what specific transformer methods in FME were used to overcome those challenges. Examples include managing memory allocation, parallel processing strategies, and incorporating smart pig (ILI) data.