Multidisciplinary Optimization Design for the Section Layout of Umbilicals Based on Intelligent Algorithm

2018 ◽  
Vol 140 (3) ◽  
Author(s):  
Zhixun Yang ◽  
Qingzhen Lu ◽  
Jun Yan ◽  
Jinlong Chen ◽  
Qianjin Yue
Keyword(s):  
Optimization Design ◽  
Oil And Gas ◽  
Power Transmission ◽  
Production Systems ◽  
Optimal Solution ◽  
Point Of View ◽  
Multidisciplinary Optimization ◽  
Intelligent Algorithm ◽  
Control Functions ◽  
Electric Cables

Umbilicals, which link top floaters and subsea devices, provide control functions through electrical cables and hydraulic remote transmission. These cables are considered the “lifeline” of subsea production systems for offshore oil and gas exploitation. Umbilicals should undertake self-weight and periodic loading during operation because of the severe conditions of the ocean environment. Heat is released to the umbilical body during power transmission in electric cables, which influences the mechanical properties and optical transmission in the cable. However, several sectional arrangements can be applied to a number of umbilical components. Thus, sectional layout design with multiple components should be treated as a multidisciplinary optimization problem. From the mechanical point of view, the umbilical structure should be designed with compact and symmetric layout to obtain an even probability of resistance to loads and reduce structural stress, thereby improving fatigue performance. In terms of thermal effect, these electric cables should be arranged to dissipate heat easily and avoid influence on functional and structural components. This study quantifies compactness, symmetry, and temperature distribution by introducing corresponding indices. A multidisciplinary optimization framework is then established. Particle swarm optimization (PSO) intelligent algorithm is adopted to perform optimization and obtain the optimal solution, which is superior to the initial design. The optimization design strategy is proven effective and efficient by a case study, which provides a reference for umbilical design.

Multidisciplinary Optimization Design for Section Layout of Complex Umbilical Cables Based on Intelligent Algorithm

2015 ◽  
Author(s):  
Zhixun Yang ◽  
Jun Yan ◽  
Guojun Ma ◽  
Qingzhen Lu ◽  
Minggang Tang ◽  
...  
Keyword(s):  
Optimization Design ◽  
Oil And Gas ◽  
Power Transmission ◽  
Optimal Solution ◽  
Point Of View ◽  
Multidisciplinary Optimization ◽  
Intelligent Algorithm ◽  
Control Functions ◽  
Offshore Oil And Gas ◽  
Ocean Environment

Umbilical which links the top floater and the subsea devices provides control functions through electrical cables and hydraulic remote transmission. They are treated as the “lifeline” of the subsea production system for offshore oil and gas exploitation. During operation, umbilical needs to undertake self-weight and periodical load due to the ocean environment. Meanwhile, the heat during power transmission in electric cable is released to the umbilical body, which influences the mechanical properties and optical transmission in the cable. However, there are a number of components and many kinds of sectional arrangement for the umbilical. So the sectional design with multiple components needs to be solved as a multidisciplinary optimization problem. From the mechanical point of view, the umbilical structure should be designed with more compacted and symmetric layout to obtain even probability of resistance to loads and reduce structural stress to improve its fatigue performance. Concerning thermal effect, these units should be arranged to dissipate the heat easily to avoid the influence on the functional and structural components. In this paper, compactedness, symmetry and temperature distribution are quantified through introducing corresponding indices. Then multidisciplinary optimization framework is established. Particle Swarm Optimization (PSO) intelligent algorithm is adopted to carry out the optimization to obtain the optimal solution, which is far superior to the initial design. The optimization design strategy is proved to be effective and efficient by some numerical examples, which provides reference for design of umbilical cables.

Orthogonal Optimization Algorithm of Electronic Circuit Parameters

2013 ◽  
Vol 427-429 ◽  
pp. 671-674
Author(s):  
Yong Xian Li ◽  
Yu Zi Lin ◽  
Jia Zhong Li
Keyword(s):  
Optimization Design ◽  
Electronic Circuit ◽  
Orthogonal Design ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Parameter Design ◽  
Variance Ratio ◽  
Intelligent Algorithm ◽  
Orthogonal Optimization ◽  
Better Than

A novel intelligent algorithm of orthogonal optimization is introduced for electronic circuit parameters. The orthogonal optimization design develops from conventional orthogonal design. According to the results of variance and variance ratio analysis in the orthogonal design, the next searching direction and range of each variable are determined, which is able to be circulating in the optimization of searching. The orthogonal optimization solution is performed intelligently until error value of the variance ratio for each variable is approximately equal. Since the tolerance of an optimal solution is obtained when the parameter design is completed, this method does not need special tolerance design. The authors take a stabilized power supply circuit as an example to optimize the circuit parameters. This method has less calculation amount, shorter searching time, more rapid speed and higher accuracy of optimization searching. Optimization results show that this algorithm is much better than other current algorithms of intelligent optimization methods.

scholarly journals Minimizing Losses During Natural Gas Transportation

2019 ◽  
Vol 69 (1) ◽  
pp. 97-108
Author(s):  
Lyubomyr Poberezhny ◽  
Andrij Hrytsanchuk ◽  
Igor Okipnyi ◽  
Liubov Poberezhna ◽  
Andrij Stanetsky ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Natural Gas ◽  
Transmission Lines ◽  
Energy Use ◽  
Oil And Gas ◽  
Power Transmission ◽  
Complex Problem ◽  
Point Of View ◽  
Power Transmission Lines ◽  
Electric Power Transmission Lines

AbstractThe processes of supplying natural gas are accompanied by significant losses. In this regard, the complex problem of minimizing losses and improving the efficiency of energy use is very relevant. Steel pipelines for transportation of oil and gas often cross the tracks or are located parallel to the lines of electric power transmission lines of alternating current. Most dangerous from the corrosive point of view of the combination of the chemical composition of the soil electrolyte and the vagal current density were established.

Applied Process Simulation-Driven Oil and Gas Separation Plant Optimization using Surrogate Modeling and Evolutionary Algorithms

2019 ◽  
Author(s):  
Anders Andreasen
Keyword(s):  
Evolutionary Algorithms ◽  
Gas Separation ◽  
Oil And Gas ◽  
Optimal Solution ◽  
Computer Experiment ◽  
Latin Hypercube Sampling ◽  
Surrogate Models ◽  
Inlet Temperature ◽  
Separation Plant ◽  
Separation Stage

In this article the optimization of a realistic oil and gas separation plant has been studied. Two different fluids are investigated and compared in terms of the optimization potential. Using Design of Computer Experiment (DACE) via Latin Hypercube Sampling (LHS) and rigorous process simulations, surrogate models using Kriging have been established for selected model responses. The surrogate models are used in combination with a variety of different evolutionary algorithms for optimizing the operating profit, mainly by maximizing the recoverable oil production. A total of 10 variables representing pressure and temperature various key places in the separation plant are optimized to maximize the operational profit. The optimization is bounded in the variables and a constraint function is included to ensure that the optimal solution allows export of oil with an RVP < 12 psia. The main finding is that, while a high pressure is preferred in the first separation stage, apparently a single optimal setting for the pressure in downstream separators does not appear to exist. In the second stage separator apparently two different, yet equally optimal, settings are revealed. In the third and final separation stage a correlation between the separator pressure and the applied inlet temperature exists, where different combinations of pressure and temperature yields equally optimal results.<br>

Well Placement Technique and Production Optimization for Mature Field - A Case Study of L-X Field

2020 ◽  
Vol 46 ◽  
pp. 168-179
Author(s):  
Patrick Nwafor ◽  
Kelani Bello
Keyword(s):  
Oil And Gas ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Oil And Gas Industry ◽  
Optimization Method ◽  
Simulation Software ◽  
Production Optimization ◽  
Direct Optimization ◽  
Well Placement ◽  
Local Optimal Solution

A Well placement is a well-known technique in the oil and gas industry for production optimization and are generally classified into local and global methods. The use of simulation software often deployed under the direct optimization technique called global method. The production optimization of L-X field which is at primary recovery stage having five producing wells was the focus of this work. The attempt was to optimize L-X field using a well placement technique.The local methods are generally very efficient and require only a few forward simulations but can get stuck in a local optimal solution. The global methods avoid this problem but require many forward simulations. With the availability of simulator software, such problem can be reduced thus using the direct optimization method. After optimization an increase in recovery factor of over 20% was achieved. The results provided an improvement when compared with other existing methods from the literatures.

Implementation of a Pipeline Integrity Management System at TIGF (France): The Added Value of the Pipeline Threats and Mitigations Module

2008 ◽  
Author(s):  
Karine Kutrowski ◽  
Rob Bos ◽  
Jean-Re´gis Piccardino ◽  
Marie Pajot
Keyword(s):  
Management System ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Management Plan ◽  
Point Of View ◽  
Added Value ◽  
Specific Information ◽  
Transmission Grid ◽  
Integrity Management ◽  
Corrective Actions

On January 4th 2007 TIGF published the following invitation for tenders: “Development and Provision of a Pipeline Integrity Management System”. The project was awarded to Bureau Veritas (BV), who proposed to meet the requirements of TIGF with the Threats and Mitigations module of the PiMSlider® suite extended with some customized components. The key features of the PiMSlider® suite are: • More than only IT: a real integrity philosophy, • A simple intuitive tool to store, display and update pipeline data, • Intelligent search utilities to locate specific information about the pipeline and its surrounding, • A scalable application, with a potentially unlimited number of users, • Supervision (during and after implementation) by experienced people from the oil and gas industry. This paper first introduces TIGF and the consortium BV – ATP. It explains in a few words the PIMS philosophy captured in the PiMSlider® suite and focuses on the added value of the pipeline Threats and Mitigations module. Using this module allows the integrity analyst to: • Prioritize pipeline segments for integrity surveillance purposes, • Determine most effective corrective actions, • Assess the benefits of corrective actions by means of what-if scenarios, • Produce a qualitative threats assessment for further use in the integrity management plan, • Optimize integrity aspects from a design, maintenance and operational point of view, • Investigate the influence of different design criteria for pipeline segments. To conclude, TIGF presents the benefits of the tool for their Integrity Management department and for planning inspection and for better knowledge of their gas transmission grid.

Systematic Approach to the Assessment of Production Control Functioning at Hazardous Production Facilities of Oil and Gas Industry

2021 ◽  
pp. 70-75
Author(s):  
R.I. Fatkhutdinov ◽  
◽  
Keyword(s):  
Control System ◽  
Systematic Approach ◽  
Oil And Gas ◽  
Production Control ◽  
Point Of View ◽  
Industrial Safety ◽  
Production Control System ◽  
System Functioning ◽  
Hazardous Production ◽  
Integral Indicator

One of the main causes of accidents at hazardous production facilities of oil and gas production is the inefficient work of production control over compliance with industrial safety requirements. At present there are no criteria for its assessment in the Russian legislation. It is established in the study that that production control in the industrial safety management system performs the role of «control» in accordance with the Shewhart-Deming cycle PDCA, and its main function is to work with nonconformities. In connection with the above, it is proposed to approach production control not only from the point of view of the process, but also from the system approach. To assess the system functioning, the criteria of «effectiveness», «efficiency», «integral indicator» are considered. It is established that from the point of view of proactivity in achieving the goals of production control, the most preferable is the assessment of the integral indicator of the production control system functioning. The considered existing and possible approaches to the assessment of the production control system and the statistical processing of the results of the expert assessment of nineteen parameters confirmed the need for a systematic approach. Based on this, the hypothesis of the production control system functioning is proposed and statistically substantiated, and four main parameters for calculating the integral indicator of the production control system functioning are considered. The built mathematical model based on the fuzzy logic clearly demonstrates the dependence of the integral indicator of the production control system functioning on the considered input parameters. The proposed proactive approach to the assessment of the production control system through nonconformity management is universal and applicable to the «control» function of any control system. It can also be used in the work of Rostechnadzor and be an incentive for enterprises to improve the quality, efficiency, and effectiveness of the production control system.

A Systematic Optimization Design Method for Thermal Management of Passenger Vehicles

2021 ◽  
pp. 1-27
Author(s):  
Jie Zhang ◽  
Qidong Wang ◽  
Han Zhang ◽  
Min Zhang ◽  
Jianwei Lin
Keyword(s):  
Prediction Model ◽  
Surface Temperature ◽  
Thermal Management ◽  
Optimization Design ◽  
Cfd Simulation ◽  
Optimal Solution ◽  
Optimization Method ◽  
Drive Shaft ◽  
Management Problem ◽  
Systematic Optimization

Abstract In this study, a systematic optimization method for the thermal management problem of passenger vehicle was proposed. This article addressed the problem of the drive shaft sheath surface temperature exceeded allowable value. Initially, the causes and initial measures of the thermal problem were studied through computational fluid dynamics (CFD) simulation. Furthermore, the key measures and the relevant parameters were determined through Taguchi method and significance analysis. A prediction model between the parameters and optimization objective was built by radial basis function neural network (RBFNN). Finally, the prediction model and particle swarm optimization (PSO) algorithm were combined to calculate the optimal solution, and the optimal solution was selected for simulation and experiment verification. Experiment results indicated that this method reduced the drive shaft sheath surface temperature promptly, the decreasing amplitude was 22%, which was met the experimental requirements.

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