Moata Route Optimiser revolutionises the pipeline design process. It uses a geospatial interface to develop an optimised pipeline route based on data from base constraints, topographical data, engineering rules, real construction and operational costs.
The route is further refined through iterations of new survey data, human intelligence and automated detailed design calculations, with direct output to the latest 3-D design technology.
- Simple input of start and end points of route.
- Multiple route creation with in-depth visualisations.
- Millions of design route iterations with simultaneous vertical and horizontal alignment.
- Automation of design calculations and drawings.
- Outputs generated in multiple file formats.
- Design and whole-life cost reduction.
- Design and whole life costs reduced through powerful genetic algorithm 3D route optimisation driven by cost data and design inputs. Millions of pipeline routes assessed in a few hours.
- Engineering excellence embedded through design rules.
- Geospatial user interface, topographical data and multiple constraints mapped.
- Costing evaluations done in real-time based on unique UK industry data sets.
- Optimised route pipeline geometry and costing data can be viewed and analysed.
- Allows human intervention and judgement at any part of the design process.
- Optimised routes exported to CAD for full drawing production.
- Up to 10% reduction in time on a design programme per project – (based on reduced design input, long section drawing production and data ‘source of truth’ on a 20km pipeline).
- 4-10% saving on project outturn cost vs. 2D methods through better route optimisation and sophisticated data visualisations.
- Up to 40% saving on design cost vs. traditional methods through automated calculations and drawing preparation.
- Improved social and environmental outcomes through avoidance of sensitive areas. The focus on the whole life of pipeline assets can encourage longer term thinking. Embodied carbon can be reduced through optimal designs reducing electricity demands, material usage and waste.