IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5447-d873397.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5447/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/15/5447/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. 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.
    3. 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.
    4. 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.
    5. Dariusz Knez & Mitra Khalilidermani, 2021. "A Review of Different Aspects of Off-Earth Drilling," Energies, MDPI, vol. 14(21), pages 1-18, November.
    6. 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.
    7. 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.
    8. Fagerberg, Jan & Fosaas, Morten & Sapprasert, Koson, 2012. "Innovation: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1132-1153.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    16. 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.
    17. 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.
    18. 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.
    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.
    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. 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.

    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. Hugo Baier-Fuentes & José M. Merigó & José Ernesto Amorós & Magaly Gaviria-Marín, 2019. "International entrepreneurship: a bibliometric overview," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 385-429, June.
    2. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    3. Forliano, Canio & De Bernardi, Paola & Yahiaoui, Dorra, 2021. "Entrepreneurial universities: A bibliometric analysis within the business and management domains," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    4. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    5. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    6. Yao, Ye & Du, Huibin & Zou, Hongyang & Zhou, Peng & Antunes, Carlos Henggeler & Neumann, Anne & Yeh, Sonia, 2023. "Fifty years of Energy Policy: A bibliometric overview," Energy Policy, Elsevier, vol. 183(C).
    7. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    8. Juan Ruiz-Rosero & Gustavo Ramirez-Gonzalez & Jesus Viveros-Delgado, 2019. "Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1165-1188, November.
    9. Kun Shi & Yi Zhou & Zhen Zhang, 2021. "Mapping the Research Trends of Household Waste Recycling: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    10. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    11. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    12. Wang, Xiaoguang & He, Jing & Huang, Han & Wang, Hongyu, 2022. "MatrixSim: A new method for detecting the evolution paths of research topics," Journal of Informetrics, Elsevier, vol. 16(4).
    13. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Pahrudin Pahrudin & Li-Wei Liu & Shao-Yu Li, 2022. "What Is the Role of Tourism Management and Marketing toward Sustainable Tourism? A Bibliometric Analysis Approach," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    15. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    16. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    17. Mario A. Morales-Parragué & Rodrigo A. Varela-Laso & Luis Araya-Castillo & Fidel Molina-Luque, 2023. "Corporate Social Responsibility: Where Does It Come from, and Where Does It Go? Evolution of the Conceptual Structure from 1975 to 2021," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    18. Vizuete-Luciano, Emili & Guillén-Pujadas, Miguel & Alaminos, David & Merigó-Lindahl, José María, 2023. "Taxi and urban mobility studies: A bibliometric analysis," Transport Policy, Elsevier, vol. 133(C), pages 144-155.
    19. Merediz-Solà, Ignasi & Bariviera, Aurelio F., 2019. "A bibliometric analysis of bitcoin scientific production," Research in International Business and Finance, Elsevier, vol. 50(C), pages 294-305.
    20. Jiaojiao Yang & Ting Wang & Yujie Hu & Qiyun Deng & Shu Mo, 2023. "Comparative Analysis of Research Trends and Hotspots of Foreign and Chinese Building Carbon Emissions Based on Bibliometrics," Sustainability, MDPI, vol. 15(13), pages 1-24, June.

    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:gam:jeners:v:15:y:2022:i:15:p:5447-:d:873397. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.