With the created matching rule between 3D BIM objects and decommissioning tasks, 4D/5D BIM models for different OOGP decommissioning options with different methodologies can be generated in a quick manner, saving much time for the model generation.
For the validation of this methodology, experimental data were generated using digital image correlation (DIC) measurements.
First using the design of experiments and response surface methodology, proxy models are generated to predict economic indices for production scenarios and after validation of them, they are used for economic analysis and choosing the best scenario based on multi-criteria decision making.
In order to validate the methodology, pump performance curves were generated and compared with experimental data.
In the proposed methodology the criteria weights are generated by a fuzzy AHP procedure.
In this methodology, the fuzzy rules are generated using the history of input/output (I/O) pairs without using any plant model.
With different methodologies of CTs, trees are generated with different selection of variables and decision rules.
Finally, a comprehensive evaluation methodology for major risk loss is generated based on the analytic hierarchy process.
Only when a completely clear picture of the design is generated, the methodology moves on to even the highest level of the design.
The results obtained illustrate that, regardless of the WDF approach used, the novel methodology allows accurate forecasts to be generated thereby demonstrating the potential to yield substantial improvements to the state-of-the-art in near real-time WDS management.
