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TECHNICAL PAPERS

Cost-Effective Design Criteria for Australian Monopod Platforms

[+] Author and Article Information
Rodney Pinna, Beverley F. Ronalds

School of Oil & Gas Engineering, University of Western Australia, Western Australia 6009

Mark A. Andrich

Accenture, Sydney

J. Offshore Mech. Arct. Eng 125(2), 132-138 (Apr 16, 2003) (7 pages) doi:10.1115/1.1555115 History: Received July 01, 2001; Revised April 01, 2002; Online April 16, 2003
Copyright © 2003 by ASME
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References

Figures

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Metocean data and curves fitted to that data for example NWS monopods (c.f. Table 1, for values). Symbols indicate original data.
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Variation of required cross sectional area with changing return period of failure, for caissons of constant diameter
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Variation in area with changing return period of failure, with f1=0, i.e. the diameter of the conductors is much larger than that of the main caisson. D/t is constant.
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Variation in area with changing return period of failure, for monopod C. f1=0, 0.25, 0.5, 0.75 and 1, with D/t constant
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Influence of discount rate on optimum return period of failure
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Cost versus water depth data, normalized by the cost data for monopod A.
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Expected total cost and components, varying with return period. Model data for monopod C, with Cf / Ci.d=3.1 and f2=0.5. Dashed lines are for a constant D/t ratio, dotted lines for a constant D.
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Optimum return period of failure varying with proportion of variable costs associated with construction, as cost of failure changes. Monopod C.
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Optimum return period of failure varying with proportion of variable costs associated with construction for four platforms considered. Cf /Ci.d=3.1, constant D/t ratio.
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Optimum platform RSR, as the service life is varied. Cf /Ci.d=3.1, constant D/t ratio.
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Optimum platform RSR, as Cf /Ci.d is varied. Constant D/t ratio.
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Acceptable and marginally acceptable probability diagram 7

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