Modeling for the optimization of layout scenarios of cluster manifolds with pipeline end manifolds

Wang, Yingying; Duan, Menglan; Feng, Junkai; Mao, Dongfeng; Xu, Ming‐Hua; Estefen, Segen F.

doi:10.1016/j.apor.2014.02.006

Cited by 38 publications

(10 citation statements)

References 10 publications

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“…Among them, the setting depth of conductor in deepwater drilling directly affects the mechanical stability of subsea wellhead. If the depth design is relatively shallower, it will lead to instability of subsea wellhead; on the contrary, if the design depth is deeper, although it can ensure the security of subsea wellhead, it will result in a waste of resources, and may cause the conductor can not be to the specified depth [15][16][17]. Through investigation of currently used methods of setting depth of conductor for deepwater drilling [9][10][11][12], we found that the calculated value is a single value, while there are many uncertainties in the parameters of subsea shallow strata in deepwater drilling.…”

Section: Introductionmentioning

confidence: 97%

Methods of setting depth range with credibility of conductor for deepwater drilling based on probability statistics

Guan

2014

Applied Ocean Research

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Section: Introductionmentioning

confidence: 97%

Methods of setting depth range with credibility of conductor for deepwater drilling based on probability statistics

Guan

2014

Applied Ocean Research

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“…Wang et al [19] developed a model for the division of wells to determine the location of the manifolds and their connection relationships with the wells. Then, a new model was proposed to optimize the location and number of manifolds and the connection relationship with FPSO and manifolds [20]. Then, the layout was synergistically optimized by considering the location of the manifolds, wellhead groupings, and the connection relationships between the manifolds, while developing an iterative algorithm that integrates unsupervised learning methods and clustering algorithms to optimize the problem [21].…”

Section: Introductionmentioning

confidence: 99%

Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint

2021

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The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production system. The rational layout of the subsea production control system is essential to reduce development costs and ensure safe production in offshore fields. Most previous studies on layout design in offshore fields have focused on the oil- and gas-gathering system. However, the layout of the subsea production control system has not thoroughly been researched to date and the seabed terrain and integral optimization have rarely been discussed. This paper focuses on the multi-layer star structure and multi-layer star-tree structure, two common layout structures of subsea production control systems, and establishes the corresponding model with obstacle and seabed terrain conditions. Obtaining the lowest possible total cost was the aim of the model. A hybrid algorithm combining the adaptive mutation particle swarm algorithm and the A-star algorithm was applied to integrally optimize the subsea distribution unit and umbilical touch down point positions, the pipe connection topology and pipe routes. The practicality of this approach is demonstrated by designing a layout with one FPSO and 22 subsea control modules. The results indicate that the multi-layer star-tree layout structure has a lower total cost compared to that of the multi-layer star layout structure. In addition, the results were compared with a case that ignores the seabed terrain, indicating differences in the total construction cost. This method provides engineers with quantitative references and reliable cost estimates to make decisions regarding the layout of the subsea production control system.

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“…Numerical analyses were performed and discussed for a case study of subsea wells partition to verify the accuracy of the model and the feasibility of the algorithm. Wang et al (2014) further studied this problem by optimizing the layout of cluster manifolds with pipeline end manifolds, where a mathematical model and its dedicated algorithm in MATLAB were also proposed. Both papers concluded that the optimization layout problem can be described accurately by the presented mathematical models and the convergence rate of the given algorithms is efficient.…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem

Sales

Pitombeira‐Neto

Prata

2018

Oil & Gas Science and Technology - Rev. IFP Energies nouvel

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Oil and gas production is moving deeper and further offshore as energy companies seek new sources, making the field layout design problem even more important. Although many optimization models are presented in the revised literature, they do not properly consider the uncertainties in well deliverability. This paper aims at presenting a Monte Carlo simulation integrated with a genetic algorithm that addresses this stochastic nature of the problem. Based on the results obtained, we conclude that the probabilistic approach brings new important perspectives to the field development engineering.

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Modeling for the optimization of layout scenarios of cluster manifolds with pipeline end manifolds

Cited by 38 publications

References 10 publications

Methods of setting depth range with credibility of conductor for deepwater drilling based on probability statistics

Methods of setting depth range with credibility of conductor for deepwater drilling based on probability statistics

Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint

A Genetic Algorithm Integrated with Monte Carlo Simulation for the Field Layout Design Problem

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