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Frontiers of Engineering Management

ISSN 2095-7513

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Front. Eng    2018, Vol. 5 Issue (3) : 357-368    https://doi.org/10.15302/J-FEM-2018022
RESEARCH ARTICLE
Floating production storage and offloading systems’ cost and motion performance: A systems thinking application
Rini NISHANTH1(), Andrew WHYTE2, V. John KURIAN3
1. Civil & Environmental Engineering, University Tech. PETRONAS, Bandar Seri Iskandar, Malaysia; Civil Engineering, Curtin University, Perth, Australia
2. Civil Engineering, Curtin University, Perth, Australia
3. Civil & Environmental Engineering, University Tech. PETRONAS, Bandar Seri Iskandar, Malaysia
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Abstract

Floating production storage and offloading (FPSO) units increasingly represent a practical and economic means for deep-water oil extraction and production. Systems thinking gives a unique opportunity to seek a balance between FPSO technical performance(s), with whole-cost; stakeholder decision-making is charged to align different fit-for-use design specification options’ that address technical-motion(s), with respective life-cycle cost analyses (LCCA). Soft system methodology allows situation based analyses over set periods-of-time by diagnosing the problem-at-hand; namely, assessing the antecedents of life-cycle cost relative to FPSO sub-component design alternatives. Alternative mooring- component comparisons for either new-build hulls or refurbished hulls represent an initial necessary consideration to facilitate extraction, production and storage of deep-water oil reserves. Coupled dynamic analysis has been performed to generate FPSO motion in six degrees of freedom using SESAM DeepC, while life-cycle cost analysis (LCAA) studies give net-present-value comparisons reflective of market conditions. A parametric study has been conducted by varying wave heights from 4 – 8 m to understand FPSO motion behavior in the presence of wind and current, as well as comparing the motions of turreted versus spread mooring design alternatives. LCCA data has been generated to compare the cost of such different mooring options/hull conditions over 10 and 25-year periods. Systems thinking has been used to explain the interaction of problem variables; resultantly this paper is able to identify explicit factors affecting the choice of FPSO configurations in terms of motion and whole-cost, toward assisting significantly with the front-end engineering design (FEED) phase of fit-for-purpose configured FPSOs, in waters off Malaysia and Australia.
Keywords FPSO      LCCA      spread/turret-mooring      DeepC      cost      motion      soft-systems     
Corresponding Author(s): Rini NISHANTH   
Just Accepted Date: 02 July 2018   Online First Date: 23 August 2018    Issue Date: 14 September 2018
 Cite this article:   
Rini NISHANTH,Andrew WHYTE,V. John KURIAN. Floating production storage and offloading systems’ cost and motion performance: A systems thinking application[J]. Front. Eng, 2018, 5(3): 357-368.
 URL:  
https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2018022
https://academic.hep.com.cn/fem/EN/Y2018/V5/I3/357
Fig.1  Six motions (yaw, heave, pitch, sway, roll and surge) of FPSO
Fig.2  Seven steps of soft systems methodology
Fig.3  FPSO Front-End-Engineering-Design FEED-phase: SSM flow-chart/framework
Fig.4  Coupled dynamic analysis using SESAM Suit of programs
Dimension Measurement Unit
Overall Length 207.4 m
Beam 32.2 m
Depth of hull 17 m
Tab.1  Case-study BT-FPSO dimensions
Fig.5  LCCA procedure for FPSO
FPSO location Country Location Converted or
New-build hull		 Mooring Type
PK Malaysia Converted External Turret
KK Malaysia Converted External Turret
CD Malaysia Converted Spread-moored
BT Malaysia Converted Spread-moored
NV Australia Converted Spread-moored
GD Australia New-build Internal Turret
MV Australia Converted Internal Turret
SB Australia New-build Internal Turret
PV Australia Converted Internal Turret
OH Australia Converted Riser turret-moored
NH Australia New-build Riser turret-moored
Tab.2  FPSO LCCA study
Fig.6  Motion response of BT FPSO with spread-mooring and turret-mooring
FPSO location Capital Cost (US Dollars) Annual Operation and Maintenance Cost (US Dollars) Annual Bare Boat Charter Rate (US Dollars) Scrap Value of Metal (US Dollars)
PK 272,100,000 6750,000 45,000,000 42,241,248
KK 7,195,000,000 7,837,500 59,418,700 90,417,600
CD 660,000,000 14,726,250 98,175,000 33,126,624
BT 800,000,000 7,700,000 49,500,000 18,327,614
NV 1,391,000,000 63,454,545 423,030,300 33,726,758
GD 175,100,000 3,000,000 20,000,000 34,776,000
MV 624,000,000 52,700,000 351,333,333 49,576,003
SB 1,125,000,000 61,071,429 40,7142,857 46,368,000
PV 3,359,000,000 63,333,333 422,222,222 47,590,128
OH 4,214,000,000 55,600,000 N/A 52,329,600
NH 523,4000,000 2,806,000,000 N/A 49,680,000
Tab.3  Cost Data of FPSOs
Fig.7  Total life-cycle cost of FPSOs for 10-year and 25-year life-cycle period
Fig.8  NPV of FPSOs plotted against their capital cost
Fig.9  Cost Proportions of CD (on the left) and GD (on the right)
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