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Research Papers: Offshore Technology

Arrangement Method of Offshore Topside Based on an Expert System and Optimization Technique

[+] Author and Article Information
Sung-Kyoon Kim

Offshore Piping Design and Engineering
Department, Hyundai Heavy Industries Co., Ltd.,
400, Bangeojinsunhwan-doro,
Dong-gu 44114, Ulsan, South Korea
e-mail: ksk7hihi@hhi.co.kr

Myung-Il Roh

Associate Professor
Department of Naval Architecture and
Ocean Engineering,
Research Institute of Marine Systems Engineering,
Seoul National University,
1, Gwanak-ro,
Gwanak-gu 08826, Seoul, South Korea,
e-mail: miroh@snu.ac.kr

Ki-Su Kim

Department of Naval Architecture
and Ocean Engineering,
Seoul National University,
1, Gwanak-ro,
Gwanak-gu 08826, Seoul, South Korea,
e-mail: kisu2511@snu.ac.kr

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received August 4, 2016; final manuscript received October 25, 2016; published online February 13, 2017. Assoc. Editor: Jonas W. Ringsberg.

J. Offshore Mech. Arct. Eng 139(2), 021302 (Feb 13, 2017) (19 pages) Paper No: OMAE-16-1089; doi: 10.1115/1.4035141 History: Received August 04, 2016; Revised October 25, 2016

An offshore platform has several modules that contain much of the equipment needed for oil and gas production, and these are placed on the limited space of the topside. Furthermore, the equipment layout should leave sufficient space in between to ensure operability, maintainability, and safety. Thus, the design problem to arrange the topside of an offshore platform can be difficult to solve due to the number of modules and equipment placed on the topside. This study proposes a method to arrange the offshore topside based on an expert system and multistage optimization in order to obtain the optimal arrangement that addresses various considerations and satisfies the given requirements. The proposed method consists of four components. First, an expert system is proposed to systematically computerize experts' knowledge and experience and to evaluate the feasibility of alternatives for the arrangement of the offshore topside. Second, a multistage optimization method is proposed to yield a better arrangement design by formulating the arrangement design problem as an optimization problem with two stages. Third, an arrangement template model (ATM) was proposed to store the arrangement data of the offshore topside. Fourth, the user interface was developed to run the expert system and for optimization. A prototype program was then developed to solve an floating, production, storage, and offloading (FPSO) topside problem in order to evaluate the applicability of the proposed method. The results showed that the proposed method can be used to obtain the optimal arrangement of an offshore topside.

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References

Figures

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Fig. 4

Configuration of the AEM

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Fig. 3

ATM represented as a UML class diagram

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Fig. 1

Example of the arrangement of an FPSO topside

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Fig. 2

Overview of the proposed arrangement design method of offshore topside

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Fig. 5

Representation of the location of each module

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Fig. 6

Calculation procedure of the probability of damage (Pij) [17]

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Fig. 7

Empty volume of the deck k

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Fig. 8

Passage constraints to limit the location of internal passages

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Fig. 9

Configuration of the proposed method of an FPSO topside based on the expert system and the optimization technique

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Fig. 10

Screenshot of the prototype program for the arrangement design of the offshore topside

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Fig. 11

Module arrangement of the FPSO topside (Plan view, manual design)

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Fig. 12

Example of the converting procedure of the object information to rules

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Fig. 13

Comparison of the module arrangement between the manual and optimal designs

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Fig. 14

Case study to determine the effects of the rule in the module arrangement

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Fig. 15

Deaeration tower as multideck equipment

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Fig. 16

Process flow diagram of the “water injection” module

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Fig. 17

Comparison of the equipment arrangement in the water injection module between the manual and the optimal designs

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Fig. 18

Optimization result for the equipment arrangement in the water injection module considering the internal passages

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Fig. 19

Process flow diagram of the “gas compression” module

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Fig. 20

Comparison of the equipment arrangement in the gas compression module between the manual and the optimal designs (without and with internal passages)

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