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Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace

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  • Pan Zhang

    (Department of Industrial Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
    Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing, Northwestern Polytechnical University, Xi’an 710072, China)

  • Yongjun Du

    (Department of Management Science and Engineering, School of Economics and Management, Lanzhou University of Technology, Lanzhou 730050, China)

  • Sijie Han

    (Department of Industrial Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
    Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing, Northwestern Polytechnical University, Xi’an 710072, China)

  • Qingan Qiu

    (School of Management & Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Studies related to oil and gas wells have attracted worldwide interest due to the increasing energy shortfall and the requirement of sustainable development and environmental protection. However, the state of oil and gas wells in terms of research characteristics, technological megatrends, article-produced patterns, leading study items, hot topics, and frontiers is unclear. This work is aimed at filling the research gaps by performing a comprehensive bibliometric analysis of 6197 articles related to oil and gas wells published between 1900 and 2021. VOSviewer and CiteSpace software were used as the main data analysis and visualization tools. The analysis shows that the annual variation of article numbers, interdisciplinary numbers, and cumulative citations followed exponential growth. Oil and gas well research has promoted the expansion of research fields such as engineering, energy and fuels, geology, environmental sciences and ecology, materials science, and chemistry. The top 10 influential studies mainly focused on shale gas extraction and its impact on the environment. More studies were produced by larger author teams and inter-institution collaborations. Elkatatny and Guo have greatly contributed to the application of artificial intelligence in oil and gas wells. The two most contributing institutions were the Southwest Petr Univ and China Univ Petr from China. The People’s Republic of China, the US, and Canada were the countries with the most contributions to the development of oil and gas wells. The authoritative journal in engineering technology was J Petrol Sci Eng, in environment technology was Environ Sci Technol, in geology was Aapg Bull, and in materials was Cement Concrete Res. The keyword co-occurrence network cluster analysis indicated that oil well cement, new energy development, machine learning, hydraulic fracturing, and natural gas and oil wells are the predominant research topics. The research frontiers were oil extraction and its harmful components (1992–2016), oil and gas wells (1997–2016), porous media (2007–2016), and hydrogen and shale gas (2012–2021). This paper comprehensively and quantitatively analyzes all aspects of oil and gas well research for the first time and presents valuable information about active and authoritative research entities, cooperation patterns, technology trends, hotspots, and frontiers. Therefore, it can help governments, policymakers, related companies, and the scientific community understand the global progress in oil and gas well research and provide a reference for technology development and application.

Suggested Citation

  • Pan Zhang & Yongjun Du & Sijie Han & Qingan Qiu, 2022. "Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace," Energies, MDPI, vol. 15(15), pages 1-27, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5447-:d:873397
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    References listed on IDEAS

    as
    1. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. E.C.M. Noyons & H.F. Moed & M. Luwel, 1999. "Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 115-131.
    4. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    5. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    6. Danilo Magno Marchiori & Silvio Popadiuk & Emerson Wagner Mainardes & Ricardo Gouveia Rodrigues, 2021. "Innovativeness: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 55-92, January.
    7. Temitope Love Baiyegunhi & Christopher Baiyegunhi & Benedict Kinshasa Pharoe, 2022. "Global Research Trends on Shale Gas from 2010–2020 Using a Bibliometric Approach," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    8. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    9. Dariusz Knez & Mitra Khalilidermani, 2021. "A Review of Different Aspects of Off-Earth Drilling," Energies, MDPI, vol. 14(21), pages 1-18, November.
    10. José M. Merigó & Christian A. Cancino & Freddy Coronado & David Urbano, 2016. "Academic research in innovation: a country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 559-593, August.
    11. Danilo Magno Marchiori & Silvio Popadiuk & Emerson Wagner Mainardes & Ricardo Gouveia Rodrigues, 2021. "Correction to: Innovativeness: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9343-9343, November.
    12. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    13. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    14. Fagerberg, Jan & Fosaas, Morten & Sapprasert, Koson, 2012. "Innovation: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1132-1153.
    15. Alam Md Moshiul & Roslina Mohammad & Fariha Anjum Hira & Nurazean Maarop, 2022. "Alternative Marine Fuel Research Advances and Future Trends: A Bibliometric Knowledge Mapping Approach," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    16. Yueran Duan & Qing Guan, 2021. "Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3749-3773, May.
    17. Khadija Sarquah & Satyanarayana Narra & Gesa Beck & Edward A. Awafo & Edward Antwi, 2022. "Bibliometric Analysis; Characteristics and Trends of Refuse Derived Fuel Research," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    18. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    19. Liao, Huchang & Tang, Ming & Li, Zongmin & Lev, Benjamin, 2019. "Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators," Omega, Elsevier, vol. 88(C), pages 223-236.
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    1. Haizhen Cao & Hongxiang Ou & Weiyi Ju & Mengli Pan & Honglai Xue & Fang Zhu, 2023. "Visual Analysis of International Environmental Security Management Research (1997–2021) Based on VOSviewer and CiteSpace," IJERPH, MDPI, vol. 20(3), pages 1-18, January.

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