A nonlinear constrained optimization model for subsea pipe route selection on an undulating seabed with multiple obstacles

Hong, Cheng; Estefen, Segen F.; Lourenço, Marcelo Igor; Wang, Yuxi

doi:10.1016/j.oceaneng.2019.05.070

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…[29]. These issues make the routes of subsea pipe lines, subsea cables, or other line-shaped conduction structures curve, rather than having straight connections between facilities [30]. Therefore, besides the location and allocation of the subsea layout design, route determination is another important task that should be included in the mathematical model.…”

Section: Related Workmentioning

confidence: 99%

“…Second, if the section between node i and node j intersects with any one of the provided obstacle regions, they are not immediately connectable, and v i,j = 0; otherwise, v i,j = 1. In our previous work, the process of determining the adjacent matrix, including the method of recognizing the intersection between one section and obstacle polygons was developed, and detailed information can be seen in reference [30].…”

Section: Decision Variablesmentioning

confidence: 99%

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A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

Hong

Wang²,

Estefen

2023

JMSE

Self Cite

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The idea of this paper comes from the need for a practical layout design for the subsea pipe line network and the power transmission network of offshore wind farms with subsea cables, which are both subsea transmission networks with line-shaped conduction structures. In this paper, this practical need is treated as an location-allocation problem, with the objective of minimizing the total cost, and a mixed-integer linear programming model (MILP) for layout optimization is developed. Through the model, the locations of service centers and theit corresponding sizes, the allocations between customers and service centers, as well as the transmission routes can all be figured out. This work makes two key contributions. First, facilities’ capacity restrictions and the avoidance of subsea obstacles are both integrated, making the description of the layout closer to practical situations. Secondly, a “global to local” search process based on the Delaunay triangulation method is constructed to solve the model, resulting in a high-quality solution. An offshore field layout design scenario is taken as a case study, through which the validity, feasibility, and stability of the proposed model, as well as the solution strategy, are presented. Furthermore, in the case study, the effect of the manifold number on the layout optimization is analyzed, indicating the flexibility of the model’s applications.

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Section: Related Workmentioning

confidence: 99%

Section: Decision Variablesmentioning

confidence: 99%

A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

Hong

Wang²,

Estefen

2023

JMSE

Self Cite

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show abstract

“…At present, optimization design is still a very active research field. According to the types of the objective function and constraint function, it can be divided into a linear optimization problem and a nonlinear optimization problem [50].…”

Section: Theoretical Basis Of Diesel Engine Application Optimization ...mentioning

confidence: 99%

Performance Comparison and Optimization of 16V265H Diesel Engine Fueled with Biodiesel Based on Miller Cycle

Jiang

Zhou

et al. 2022

Processes

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This paper introduces the theoretical basis and optimization method of diesel engine working process theory. By comparing two Miller cycle schemes of B20 biodiesel under different load conditions of 1000 rpm (100%, 75%, and 50%), the best Miller cycle scheme and the best Miller degree were found. Then, based on the Miller cycle scheme, its performance was optimized and analyzed, and the best intake timing scheme of the B20 biodiesel engine under different working conditions was obtained. The results show that the performance of B20 biodiesel in variable valve overlap angle Miller cycle is better than that in variable cam profile Miller cycle, and the effect is the best when the Miller degree is 30 °CA. When B20 biodiesel is used under 100% and 50% load conditions, the maximum power under the two loads is in the area near intake valve timing 179 °CAA and exhaust valve timing 174 °CAA, and intake valve timing 224.5 °CAA and exhaust valve timing 119 °CAA, respectively. Fuel consumption, soot emissions, and NOx emissions also have the corresponding best performance intake valve and exhaust valve positions.

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“…In deep sea waters, the seabed usually has complex landforms. If rich oil and gas resources are explored in this water area, the pipe shape of the mixed transportation pipeline laid on the seabed will be forced to present a different style [5]. The most common pipe types are horizontal pipe [6], riser [7], and inclined pipe [8].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Detection of Slug Flow in Subsea Pipelines by Embedding a Yolo Object Detection Algorithm into Jetson Nano

Qiao,

Guo,

Huang

et al. 2023

JMSE

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In the multiple-phase pipelines in terms of the subsea oil and gas industry, the occurrence of slug flow would cause damage to the pipelines and related equipment. Therefore, it is very necessary to develop a real-time and high-precision slug flow identification technology. In this study, the Yolo object detection algorithm and embedded deployment are applied initially to slug flow identification. The annotated slug flow images are used to train seven models in Yolov5 and Yolov3. The high-precision detection of the gas slug and dense bubbles in the slug flow image in the vertical pipe is realized, and the issue that the gas slug cannot be fully detected due to being blocked by dense bubbles is solved. After model performance analysis, Yolov5n is verified to have the strongest comprehensive detection performance, during which, mAP0.5 is 93.5%, mAP0.5:0.95 is 65.1%, and comprehensive mAP (cmAP) is 67.94%; meanwhile, the volume of parameters and Flops are only 1,761,871 and 4.1 G. Then, the applicability of Yolov5n under different environmental conditions, such as different brightness and adding random obstructions, is analyzed. Finally, the trained Yolov5n is deployed to the Jetson Nano embedded device (NVIDIA, Santa Clara, CA, USA), and TensorRT is used to accelerate the inference process of the model. The inference speed of the slug flow image is about five times of the original, and the FPS has increased from 16.7 to 83.3.

show abstract

A nonlinear constrained optimization model for subsea pipe route selection on an undulating seabed with multiple obstacles

Cited by 9 publications

References 31 publications

A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

A Location-Allocation Model with Obstacle and Capacity Constraints for the Layout Optimization of a Subsea Transmission Network with Line-Shaped Conduction Structures

Performance Comparison and Optimization of 16V265H Diesel Engine Fueled with Biodiesel Based on Miller Cycle

Real-Time Detection of Slug Flow in Subsea Pipelines by Embedding a Yolo Object Detection Algorithm into Jetson Nano

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