TY - GEN N2 - Ice-Pigging is a process by which high Ice-Fraction Ice-Slurry is pumped through potentially topologically complex pipe systems to clean them of debris. This paper proposes replacing conventional Water-Flushing with Ice-Pigging for the cleaning of Naval Platform pipe systems pre-commissioning due to the benefits of improved effectiveness and reduced overall flushing time. To demonstrate these benefits a modified Hershel-Bulkley model is developed for Ice-Pigging alongside a Water-Flushing model to simulate the Wall Shear Stresses exerted by each method at a range of velocities and Ice-Fractions. Simulation results demonstrated that Ice- Pigging exerts several factors greater Wall Shear Stresses than Water-Flushing, with the difference increasing as the Ice-Fraction is increased. It was found that the advantages of Ice-Pigging were most prevalent at low flow velocities, where the Yield Stress of the Non-Newtonian Ice-Slurry provided large Wall Shear Stresses, whereas the water not yet in turbulent flow exerted negligible stresses. Thus, for complex pipe paths where it may be difficult to demonstrate high-velocity flow, Water-Flushing would exhibit poor performance, but Ice- Pigging would not be adversely affected. The outcomes support that Ice-Pigging would require significantly less time than Water-Flushing to clean systems to the required specification pre-commissioning, and it would likely remove a greater quantity of debris and particulates, resulting in a more effective overall flush. These advantages provide evidence that implementation of this technology would benefit the timely construction of high-quality Naval Platforms. AB - Ice-Pigging is a process by which high Ice-Fraction Ice-Slurry is pumped through potentially topologically complex pipe systems to clean them of debris. This paper proposes replacing conventional Water-Flushing with Ice-Pigging for the cleaning of Naval Platform pipe systems pre-commissioning due to the benefits of improved effectiveness and reduced overall flushing time. To demonstrate these benefits a modified Hershel-Bulkley model is developed for Ice-Pigging alongside a Water-Flushing model to simulate the Wall Shear Stresses exerted by each method at a range of velocities and Ice-Fractions. Simulation results demonstrated that Ice- Pigging exerts several factors greater Wall Shear Stresses than Water-Flushing, with the difference increasing as the Ice-Fraction is increased. It was found that the advantages of Ice-Pigging were most prevalent at low flow velocities, where the Yield Stress of the Non-Newtonian Ice-Slurry provided large Wall Shear Stresses, whereas the water not yet in turbulent flow exerted negligible stresses. Thus, for complex pipe paths where it may be difficult to demonstrate high-velocity flow, Water-Flushing would exhibit poor performance, but Ice- Pigging would not be adversely affected. The outcomes support that Ice-Pigging would require significantly less time than Water-Flushing to clean systems to the required specification pre-commissioning, and it would likely remove a greater quantity of debris and particulates, resulting in a more effective overall flush. These advantages provide evidence that implementation of this technology would benefit the timely construction of high-quality Naval Platforms. AD - Ministry of Defence T1 - Ice-Pigging – A Step Forward in Commissioning Cleanliness DA - 2020-10-05 AU - Williams, M L1 - https://library.imarest.org/record/7671/files/INEC_2020_Paper_43.pdf JF - Conference Proceedings of INEC VL - INEC 2020 PY - 2020-10-05 ID - 7671 L4 - https://library.imarest.org/record/7671/files/INEC_2020_Paper_43.pdf KW - Flushing KW - Ice-Pigging KW - Non-Newtonian Flow KW - el-Bulkley TI - Ice-Pigging – A Step Forward in Commissioning Cleanliness Y1 - 2020-10-05 L2 - https://library.imarest.org/record/7671/files/INEC_2020_Paper_43.pdf LK - https://www.imarest.org/events/inec-2020 LK - https://library.imarest.org/record/7671/files/INEC_2020_Paper_43.pdf UR - https://www.imarest.org/events/inec-2020 UR - https://library.imarest.org/record/7671/files/INEC_2020_Paper_43.pdf ER -