Spatial Risk Analyst
The Spatial Risk Analyst application helps operators meet regulatory requirements for data integration and risk analysis by providing a powerful GIS-based, data-centric approach to risk. New Century Software calls this innovative concept "Spatial Risk" and believes it allows an organization to better leverage their existing GIS data to meet pipeline integrity management and distribution integrity management requirements.
A key element of Spatial Risk Analyst is the Model Designer tool, which allows users to create multiple risk models from scratch or implement pipeline risk models developed by third-party consultants. The tool provides the flexibility to design absolute or relative ranking algorithms. By applying threat and consequence equations to linear, point, polygon, and tabular data, Spatial Risk Analyst performs dynamic segmentation to provide the user with risk attributes that can be exported to many different output and analysis formats.
Using Spatial Risk Analyst saves an operator time by avoiding the need to build and maintain a separate risk database. Both tabular and GIS data can be accessed in its native location. Once a risk area is analyzed and evaluated, Spatial Risk Analyst can assist in drilling down to each detail of the specific threat or consequence being analyzed. Operators can develop "what-if?" scenarios to better understand the impact of proposed preventative and mitigative measures.
Features
- Access both tabular and spatial data sources in their native location
- Analyze spatial data including one-call, soil type, land use, road, railway, waterway, structures, public areas, foreign lines, and many others
- Run analysis on both measured and non-measured facilities
- Design custom risk models using a bottom-up or top-down approach
- Utilize most risk modeling methods including the "NewGen" AND-gate and OR-gate approach
- Test and validate risk model design prior to execution
- Run “what if?” scenarios to better understand the impact of proposed preventative and mitigative measures
- Perform density analysis and aggregation functions to interpret complex data relationships
- Generate supporting documentation for decision analysis
- Save or export results to an ArcGIS feature class, Microsoft Excel table, flat/text file, or Oracle, SQLServer, or Access table
Technical Specifications
- ArcGIS
- Input GIS data must be in ArcGIS or ArcFM feature classes
- Input tabular data must be in Oracle, SQL Server, or Access
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Cased Pipe Integrity Assurance Model
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