IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v220y2021ics0360544220326773.html
   My bibliography  Save this article

An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas

Author

Listed:
  • Wang, Qianlin
  • Diao, Xiaoxu
  • Zhao, Yunfei
  • Chen, Feng
  • Yang, Guoan
  • Smidts, Carol

Abstract

This paper proposes an expert-based method to analyze functional failure risk in the fracturing system of unconventional natural gas. The newly proposed Fuzzy-FFIP method integrates functional failure identification and propagation (FFIP) with fuzzy logic. Fuzzy-FFIP is sufficient for dealing with the complexity and correlation of functional failures and the lack of failure data, as well as capturing the fuzziness of functional states of a critical component and entire system. From a configuration-behavior-function aspect, FFIP is a common framework used to represent system-wide logical relationships and study functional failure propagation paths. This framework is an expert system where knowledge base and inference engine are based on behavioral rules (BRs) and functional failure logic (FFL), respectively. Using FFL as a support, fuzzy logic is specifically applied to analyze the fuzzification and defuzzification of functional states – operating, degraded, and lost. The proposed method can clearly provide functional failure modes, effectively reveal failure propagation paths, and quantitatively assess functional failure risk levels in the fracturing system. To illustrate its validity, an on-site pump lubricant subsystem of fracturing unit is selected as a test case. Results show that Fuzzy-FFIP is more detailed and accurate, and contributes to system safety during the whole fracturing period.

Suggested Citation

  • Wang, Qianlin & Diao, Xiaoxu & Zhao, Yunfei & Chen, Feng & Yang, Guoan & Smidts, Carol, 2021. "An expert-based method for the risk analysis of functional failures in the fracturing system of unconventional natural gas," Energy, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:energy:v:220:y:2021:i:c:s0360544220326773
    DOI: 10.1016/j.energy.2020.119570
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220326773
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.119570?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Djatkov, Djordje & Effenberger, Mathias & Martinov, Milan, 2014. "Method for assessing and improving the efficiency of agricultural biogas plants based on fuzzy logic and expert systems," Applied Energy, Elsevier, vol. 134(C), pages 163-175.
    2. Dhunny, A.Z. & Doorga, J.R.S. & Allam, Z. & Lollchund, M.R. & Boojhawon, R., 2019. "Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Elsevier, vol. 188(C).
    3. Wang, Yan & Zhong, Dong-Liang & Li, Zheng & Li, Jian-Bo, 2020. "Application of tetra-n-butyl ammonium bromide semi-clathrate hydrate for CO2 capture from unconventional natural gases," Energy, Elsevier, vol. 197(C).
    4. Zio, E. & Pedroni, N., 2009. "Functional failure analysis of a thermal–hydraulic passive system by means of Line Sampling," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1764-1781.
    5. Chiming Guo & Shiyu Gong & Lin Tan & Bo Guo, 2012. "Extended GTST‐MLD for Aerospace System Safety Analysis," Risk Analysis, John Wiley & Sons, vol. 32(6), pages 1060-1071, June.
    6. Garofalo, Pasquale & Campi, Pasquale & Vonella, Alessandro Vittorio & Mastrorilli, Marcello, 2018. "Application of multi-metric analysis for the evaluation of energy performance and energy use efficiency of sweet sorghum in the bioethanol supply-chain: A fuzzy-based expert system approach," Applied Energy, Elsevier, vol. 220(C), pages 313-324.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liming Mu & Yingzhi Zhang & Qiyan Zhang, 2023. "Risk Evaluation Method Based on Fault Propagation and Diffusion," Mathematics, MDPI, vol. 11(19), pages 1-16, September.
    2. Mimica, Marko & Giménez de Urtasun, Laura & Krajačić, Goran, 2022. "A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty," Energy, Elsevier, vol. 240(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng, Zucheng & Sun, Lintao & Liu, Yingying & Jiang, Lanlan & Chen, Bingbing & Song, Yongchen, 2023. "Study on the micro-macro kinetic and amino acid-enhanced separation of CO2-CH4 via sII hydrate," Renewable Energy, Elsevier, vol. 218(C).
    2. Puppo, L. & Pedroni, N. & Maio, F. Di & Bersano, A. & Bertani, C. & Zio, E., 2021. "A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, , vol. 39(1), pages 185-210, January.
    4. Zio, E. & Pedroni, N., 2010. "An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1300-1313.
    5. Zio, E. & Pedroni, N., 2012. "Monte Carlo simulation-based sensitivity analysis of the model of a thermal–hydraulic passive system," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 90-106.
    6. Li, Kun & Liu, Ronghou & Sun, Chen, 2016. "A review of methane production from agricultural residues in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 857-865.
    7. Wang, Yan & Zhong, Dong-Liang & Englezos, Peter & Yan, Jin & Ge, Bin-Bin, 2020. "Kinetic study of semiclathrate hydrates formed with CO2 in the presence of tetra-n-butyl ammonium bromide and tetra-n-butyl phosphonium bromide," Energy, Elsevier, vol. 212(C).
    8. Pillot, Benjamin & Al-Kurdi, Nadeem & Gervet, Carmen & Linguet, Laurent, 2021. "Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering," Applied Energy, Elsevier, vol. 298(C).
    9. Foroutan, Shima & Mohsenzade, Hanie & Dashti, Ali & Roosta, Hadi, 2021. "New insights into the evaluation of kinetic hydrate inhibitors and energy consumption in rocking and stirred cells," Energy, Elsevier, vol. 218(C).
    10. Antoine Haddon & Cristopher Hermosilla, 2019. "An Algorithm for Maximizing the Biogas Production in a Chemostat," Journal of Optimization Theory and Applications, Springer, vol. 182(3), pages 1150-1170, September.
    11. Khalid Almutairi & Ali Mostafaeipour & Ehsan Jahanshahi & Erfan Jooyandeh & Youcef Himri & Mehdi Jahangiri & Alibek Issakhov & Shahariar Chowdhury & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahab, 2021. "Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    12. Gorg Abdelmassih & Mohammed Al-Numay & Abdelali El Aroudi, 2021. "Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms," Energies, MDPI, vol. 14(19), pages 1-15, September.
    13. Wang, Fengjuan & Xu, Jiuping & Liu, Liying & Yin, Guangming & Wang, Jianhua & Yan, Jinyue, 2021. "Optimal design and operation of hybrid renewable energy system for drinking water treatment," Energy, Elsevier, vol. 219(C).
    14. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    15. Francesco Di Maio & Nicola Pedroni & Barnabás Tóth & Luciano Burgazzi & Enrico Zio, 2021. "Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues," Energies, MDPI, vol. 14(15), pages 1-17, August.
    16. Mrówczyńska, M. & Skiba, M. & Sztubecka, M. & Bazan-Krzywoszańska, A. & Kazak, J.K. & Gajownik, P., 2021. "Scenarios as a tool supporting decisions in urban energy policy: The analysis using fuzzy logic, multi-criteria analysis and GIS tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    17. Hakawati, Rawan & Smyth, Beatrice M. & McCullough, Geoffrey & De Rosa, Fabio & Rooney, David, 2017. "What is the most energy efficient route for biogas utilization: Heat, electricity or transport?," Applied Energy, Elsevier, vol. 206(C), pages 1076-1087.
    18. Nie, Bin & Sun, Sijia, 2023. "Thermal recovery of offshore coalbed methane reservoirs: Flow characteristics of superheated steam in wellbores," Energy, Elsevier, vol. 266(C).
    19. Garofalo, Pasquale & Mastrorilli, Marcello & Ventrella, Domenico & Vonella, Alessandro Vittorio & Campi, Pasquale, 2020. "Modelling the suitability of energy crops through a fuzzy-based system approach: The case of sugar beet in the bioethanol supply chain," Energy, Elsevier, vol. 196(C).
    20. Liu, Fa-Ping & Li, Ai-Rong & Qing, Sheng-Lan & Luo, Ze-Dong & Ma, Yu-Ling, 2022. "Formation kinetics, mechanism of CO2 hydrate and its applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:220:y:2021:i:c:s0360544220326773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.