Design and run complex gas distribution risk models using native tabular and spatial datasets, with various data integration techniques ensuring accurate interactive drill-down reporting. RiskFrame DIMP Modeler models and prioritizes risk on gas distribution pipeline systems by bringing in spatial and tabular data from across the enterprise then applying an industry proven risk algorithm. In conjunction with GeoFields, users create and run the model, generating risk scores for individual pipe segments. Built-in data processing dynamically integrates spatial and tabular data at runtime maximizing the goal of data integration. Using a risk-based approach to distribution integrity, the Distribution Integrity Management Program (DIMP) model quickly identifies high risk segments, so operators can extract and review data developing risk and mitigation plans, with shared results for mapping and online analysis.
Electric & Gas, GIS, Petroleum, Pipeline