Elphinstone, Aaron Daniel (2010) Optimisation of pigging infrastructure in design. [USQ Project]
[Abstract]: The principle aim of the research was to create a standard, complete with a supporting estimating tool, which will assist in optimising the design of pigging infrastructure in future pipeline projects undertaken by SunWater.
The study involved research into current pigging practices and infrastructure arrangements. Pipelines considered during this research included the majority of pipelines owned by SunWater, as well as several pipelines external to the company. This research involved the operators of the
previously mentioned pipelines.
Established during this research were a number of differing levels of infrastructure. The associated costs of these infrastructure levels, both capital and operational, were then analysed. The analysis sought to determine the total cost of the asset over its design life. From this analysis
conclusions were drawn as to when a particular level of infrastructure could justifiably be incorporated into a particular pipeline design.
The physical output of the research included general arrangement drawings for the different infrastructure layouts. A document was then prepared linking those arrangements to their associated costs and allowing these outputs to be included in SunWater’s design standards.
Finally an estimating tool was developed to supplement the standard, for use in the conceptual and/or preliminary design stages of a pipeline project.
The results of this study will help ensure SunWater makes a justified capital investment in pigging infrastructure on future pipeline designs. It will also aid in streamlining the conceptual and/or preliminary design process of pigging infrastructure.
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|Item Type:||USQ Project|
|Item Status:||Live Archive|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering|
|Date Deposited:||25 Feb 2011 04:56|
|Last Modified:||03 Jul 2013 00:30|
|Uncontrolled Keywords:||pipeline; pigging|
|Fields of Research :||09 Engineering > 0905 Civil Engineering > 090505 Infrastructure Engineering and Asset Management
09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
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