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  • Open Access

    PROCEEDINGS

    Numerical Simulation of Non-Gaussian Winds and Application on Floating Offshore Wind Turbines

    Shu Dai1,*, Bert Sweetman2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09687

    Abstract Short-term wind process is normally assumed to be a Gaussian distribution, such as TurbSim, the widely used 3D wind field tool. Nowadays, newest researches indicate that non-Gaussian wind model is believed to be more accurate according to the field observation data. A new numerical method is proposed to generate non-Gaussian wind filed using translation process theory and spectral representation method. This study presents a comprehensive investigation on power production and blades fatigue damage of floating offshore wind turbines (FOWTs) to the non-Gaussian wind field. The comparisons of Gaussian and non-Gaussian simulation results indicate that the More >

  • Open Access

    ARTICLE

    Research on Reactive Power Optimization of Offshore Wind Farms Based on Improved Particle Swarm Optimization

    Zhonghao Qian1, Hanyi Ma1, Jun Rao2, Jun Hu1, Lichengzi Yu2,*, Caoyi Feng1, Yunxu Qiu1, Kemo Ding1

    Energy Engineering, Vol.120, No.9, pp. 2013-2027, 2023, DOI:10.32604/ee.2023.028859 - 03 August 2023

    Abstract The lack of reactive power in offshore wind farms will affect the voltage stability and power transmission quality of wind farms. To improve the voltage stability and reactive power economy of wind farms, the improved particle swarm optimization is used to optimize the reactive power planning in wind farms. First, the power flow of offshore wind farms is modeled, analyzed and calculated. To improve the global search ability and local optimization ability of particle swarm optimization, the improved particle swarm optimization adopts the adaptive inertia weight and asynchronous learning factor. Taking the minimum active power… More >

  • Open Access

    ARTICLE

    Research on Asymmetric Fault Location of Wind Farm Collection System Based on Compressed Sensing

    Huanan Yu1, Gang Han1,*, Hansong Luo2, He Wang1

    Energy Engineering, Vol.120, No.9, pp. 2029-2057, 2023, DOI:10.32604/ee.2023.028365 - 03 August 2023

    Abstract Aiming at the problem that most of the cables in the power collection system of offshore wind farms are buried deep in the seabed, which makes it difficult to detect faults, this paper proposes a two-step fault location method based on compressed sensing and ranging equation. The first step is to determine the fault zone through compressed sensing, and improve the data measurement, dictionary design and algorithm reconstruction: Firstly, the phase-locked loop trigonometric function method is used to suppress the spike phenomenon when extracting the fault voltage, so that the extracted voltage value will not… More >

  • Open Access

    ARTICLE

    Assessment of Aged Offshore Jacket Type Platforms Considering Environmental Loads and Degradation Parameters

    Yazeed Al-Radhi1,*, Farzad Hejazi2, Azmi Abdulkarim3, Ali Feroozi4

    Structural Durability & Health Monitoring, Vol.17, No.2, pp. 89-113, 2023, DOI:10.32604/sdhm.2023.011439 - 09 May 2023

    Abstract Offshore steel structures are a common investment in oil and gas industries operating in shallow to medium depth seas. These structures have become increasingly popular since the mid-19th century, with a typical design life of 30-50 years. Despite their popularity, the structural integrity of existing offshore structures remains a controversial topic. Environmental loads and material degradation have been identified as significant factors that can compromise the structural integrity of offshore structures. To address this issue, this study aims to investigate the reserved strength capacity of a selected offshore structure located in the Malaysian Seas. The… More >

  • Open Access

    ARTICLE

    Offshore Software Maintenance Outsourcing Process Model Validation: A Case Study Approach

    Atif Ikram1,2,*, Masita Abdul Jalil1, Amir Bin Ngah1, Adel Sulaiman3, Muhammad Akram3, Ahmad Salman Khan4

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5035-5048, 2023, DOI:10.32604/cmc.2023.034692 - 28 December 2022

    Abstract The successful execution and management of Offshore Software Maintenance Outsourcing (OSMO) can be very beneficial for OSMO vendors and the OSMO client. Although a lot of research on software outsourcing is going on, most of the existing literature on offshore outsourcing deals with the outsourcing of software development only. Several frameworks have been developed focusing on guiding software system managers concerning offshore software outsourcing. However, none of these studies delivered comprehensive guidelines for managing the whole process of OSMO. There is a considerable lack of research working on managing OSMO from a vendor’s perspective. Therefore,… More >

  • Open Access

    ARTICLE

    Project Assessment in Offshore Software Maintenance Outsourcing Using Deep Extreme Learning Machines

    Atif Ikram1,2,*, Masita Abdul Jalil1, Amir Bin Ngah1, Saqib Raza6, Ahmad Salman Khan3, Yasir Mahmood3,4, Nazri Kama4, Azri Azmi4, Assad Alzayed5

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1871-1886, 2023, DOI:10.32604/cmc.2023.030818 - 22 September 2022

    Abstract Software maintenance is the process of fixing, modifying, and improving software deliverables after they are delivered to the client. Clients can benefit from offshore software maintenance outsourcing (OSMO) in different ways, including time savings, cost savings, and improving the software quality and value. One of the hardest challenges for the OSMO vendor is to choose a suitable project among several clients’ projects. The goal of the current study is to recommend a machine learning-based decision support system that OSMO vendors can utilize to forecast or assess the project of OSMO clients. The projects belong to… More >

  • Open Access

    ARTICLE

    Optimization of Multi-Execution Modes and Multi-Resource-Constrained Offshore Equipment Project Scheduling Based on a Hybrid Genetic Algorithm

    Qi Zhou1,2, Jinghua Li1,3, Ruipu Dong1,*, Qinghua Zhou3,*, Boxin Yang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1263-1281, 2023, DOI:10.32604/cmes.2022.020744 - 31 August 2022

    Abstract Offshore engineering construction projects are large and complex, having the characteristics of multiple execution modes and multiple resource constraints. Their complex internal scheduling processes can be regarded as resourceconstrained project scheduling problems (RCPSPs). To solve RCPSP problems in offshore engineering construction more rapidly, a hybrid genetic algorithm was established. To solve the defects of genetic algorithms, which easily fall into the local optimal solution, a local search operation was added to a genetic algorithm to defend the offspring after crossover/mutation. Then, an elitist strategy and adaptive operators were adopted to protect the generated optimal solutions, More >

  • Open Access

    ARTICLE

    Tubing Dimension Optimization for the Development of an Offshore Gasfield

    Donglei Jiang1, Heng Wang1, Huan Diao1, Tan Xiao1, Yi Yu1, Chunmin Zeng1, Rui Zhang2,*, Qi Huang2, Mingbo Wang2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 315-327, 2023, DOI:10.32604/fdmp.2022.020221 - 29 August 2022

    Abstract L1 is one of the largest offshore gas fields currently under development. In order to optimize the related design, nodal analysis is applied (including proper consideration of the plant productivity, sensitivity to the tubing size, erosion effects, liquid carrying performance, and tubing string). As a result of such approach, it is shown that 13Cr material should be chosen as the appropriate tubing material. Moreover, 3-1/2 inches 9.3 lb/ft N80 tubing, 4-1/2 inches 12.75 lb/ft N80 tubing, 5-1/2 inches 17 lb/ft N80 tubing should be used for a gas production rate under 80 × 104 m3/d, between 80 × 104 m3/d and 120 × 104 m3/d and above 120 × 104 More >

  • Open Access

    ARTICLE

    Research on Welding Quality Traceability Model of Offshore Platform Block Construction Process

    Jinghua Li1,2, Wenhao Yin2, Boxin Yang1,*, Qinghua Zhou1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 699-730, 2023, DOI:10.32604/cmes.2022.020811 - 24 August 2022

    Abstract Quality traceability plays an essential role in assembling and welding offshore platform blocks. The improvement of the welding quality traceability system is conducive to improving the durability of the offshore platform and the process level of the offshore industry. Currently, quality management remains in the era of primary information, and there is a lack of effective tracking and recording of welding quality data. When welding defects are encountered, it is difficult to rapidly and accurately determine the root cause of the problem from various complexities and scattered quality data. In this paper, a composite welding… More >

  • Open Access

    ARTICLE

    Encryption Algorithm for Securing Non-Disclosure Agreements in Outsourcing Offshore Software Maintenance

    Atif Ikram1,2,*, Masita Abdul Jalil1, Amir Bin Ngah1, Nadeem Iqbal2, Nazri Kama4, Azri Azmi4, Ahmad Salman Khan3, Yasir Mahmood3,4, Assad Alzayed5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3827-3845, 2022, DOI:10.32604/cmc.2022.029609 - 16 June 2022

    Abstract Properly created and securely communicated, non-disclosure agreement (NDA) can resolve most of the common disputes related to outsourcing of offshore software maintenance (OSMO). Occasionally, these NDAs are in the form of images. Since the work is done offshore, these agreements or images must be shared through the Internet or stored over the cloud. The breach of privacy, on the other hand, is a potential threat for the image owners as both the Internet and cloud servers are not void of danger. This article proposes a novel algorithm for securing the NDAs in the form of… More >

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