An optimization method for buoyancy block configuration of deepwater drilling riser system based on genetic algorithm

A configuration optimization and genetic algorithm technology, applied in the field of offshore oil and gas engineering, can solve the problems of complicated riser operation process, prolonged operation time, and aggravated vibration.

Active Publication Date: 2021-04-09
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current research mainly destroys the vortex by installing riser spiral strakes, shock absorbers and other vortex suppression devices to achieve the effect of vortex suppression. However, the installation and disassembly of these devices will complicate the operation process of the riser, especially in deep water. In the case of frequent lowering and recovery, the operation time is greatly prolonged; in addition, if the vortex-induced suppression device is installed improperly, the vibration will be aggravated, so the vortex-induced suppression device for drilling risers is basically not used in the project
[0003] Due to its high gravity, the riser system needs to install a certain number of buoyancy blocks. At present, some scholars propose to use riser buoyancy blocks to reduce vortex-induced suppression under the premise of meeting the operational needs of deepwater drilling riser systems. Several different coverage ratios of buoyancy blocks are used to obtain configuration schemes that can suppress vortex-induced vibration of risers. These schemes have obvious limitations

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An optimization method for buoyancy block configuration of deepwater drilling riser system based on genetic algorithm
  • An optimization method for buoyancy block configuration of deepwater drilling riser system based on genetic algorithm
  • An optimization method for buoyancy block configuration of deepwater drilling riser system based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] combined with Figure 1-6 , to further describe the present invention.

[0038] An intelligent optimization method for buoyancy block configuration of deepwater drilling riser system based on vortex-induced suppression, the specific implementation plan is as attached figure 1 As shown, the whole analysis process mainly includes the main module of buoyancy block configuration optimization, buoyancy block configuration compilation module, long-term ocean current distribution simulation module and vortex induced fatigue damage assessment module.

[0039] Module 1: Buoyancy block configuration optimization module, this module is mainly based on genetic algorithm for gene population generation, crossover, mutation and selection of different buoyancy block configurations, as shown in the attached figure 2 It is the inheritance, variation and crossover process of the gene population. Gene 1 represents a single buoyant block, and gene 0 represents a bare single root. Differen...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for optimizing the buoyancy block configuration of a deepwater drilling riser system based on a genetic algorithm, which is characterized by the following steps: S1: taking the buoyancy block configuration of the riser system as an optimization variable, and characterizing the riser in the form of genetic code System buoyancy block configuration; S2: Establish a vortex-induced fatigue analysis model of the riser system to determine the vortex-induced fatigue damage at any position of the riser system; S3: Determine the occurrence probability of different sea current flow rates to reduce the long-term vortex-induced fatigue of the riser system Establish the buoyancy block configuration optimization objective function of the riser system with damage as the target; S4: Establish a buoyancy block configuration optimization method based on genetic algorithm, through the mechanism of natural selection, mutation and crossover of genes, new buoyant block configuration gene populations are continuously generated, and the The buoyancy block configuration scheme is optimized. The invention can be used to quickly and accurately determine the buoyancy block configuration scheme of the deepwater drilling riser system with better vortex-induced suppression effect.

Description

technical field [0001] The invention belongs to the field of marine oil and gas engineering, and in particular relates to a method for optimizing configuration of buoyancy blocks of a deep water drilling riser system based on a genetic algorithm in the process of marine deep water oil and gas drilling. Background technique [0002] During deepwater oil and gas drilling and production, the drilling riser system is the key equipment connecting the subsea wellhead and the offshore drilling platform. It has been in a complex marine environment for a long time. When the seawater flows through the riser system, alternate vortex discharges are generated on both sides, making The riser produces vortex-induced vibration, especially when the vortex shedding frequency is close to the transverse natural frequency of the riser, the vortex-induced vibration is more obvious, which can easily cause fatigue damage or even fracture of the riser system. Therefore, the vortex-induced fatigue of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): E21B17/01G06N3/12
CPCE21B17/012G06N3/123G06N3/126
Inventor 刘秀全王向磊张慎颜姬景奇郑健陈国明畅元江
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products