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

被引:8
作者
Zhang, Pan [1 ,2 ]
Du, Yongjun [3 ]
Han, Sijie [1 ,2 ]
Qiu, Qingan [4 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Engn, Dept Ind Engn, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Minist Ind & Informat Technol, Key Lab Ind Engn & Intelligent Mfg, Xian 710072, Peoples R China
[3] Lanzhou Univ Technol, Sch Econ & Management, Dept Management Sci & Engn, Lanzhou 730050, Peoples R China
[4] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
oil and gas well research; web of science; VOSviewer and CiteSpace; exponential growth; hotspots; research frontiers; technology trends; TRENDS; COMPLETION; INNOVATION; SOFTWARE; PATTERNS; CITATION; TEAMS;
D O I
10.3390/en15155447
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
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页数:27
相关论文
共 55 条
[31]   A bibliometric analysis of sustainable oil and gas production research using VOSviewer [J].
Klaire Tamala, Justine ;
Iolo Maramag, Edcel ;
Anne Simeon, Kaye ;
Jared Ignacio, Jonathan .
CLEANER ENGINEERING AND TECHNOLOGY, 2022, 7
[32]   A Review of Different Aspects of Off-Earth Drilling [J].
Knez, Dariusz ;
Khalilidermani, Mitra .
ENERGIES, 2021, 14 (21)
[33]   Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators [J].
Liao, Huchang ;
Tang, Ming ;
Li, Zongmin ;
Lev, Benjamin .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2019, 88 :223-236
[34]   Innovativeness: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions [J].
Marchiori, Danilo Magno ;
Popadiuk, Silvio ;
Mainardes, Emerson Wagner ;
Rodrigues, Ricardo Gouveia .
SCIENTOMETRICS, 2021, 126 (01) :55-92
[35]   How marketized is China's natural gas industry? A bibliometric analysis [J].
Mei, Yingdan ;
Ma, Ting ;
Su, Rui .
JOURNAL OF CLEANER PRODUCTION, 2021, 306 (306)
[36]   A bibliometric analysis of operations research and management science [J].
Merigo, Jose M. ;
Yang, Jian-Bo .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2017, 73 :37-48
[37]   Academic research in innovation: a country analysis [J].
Merigo, Jose M. ;
Cancino, Christian A. ;
Coronado, Freddy ;
Urbano, David .
SCIENTOMETRICS, 2016, 108 (02) :559-593
[38]   An overview of fuzzy research with bibliometric indicators [J].
Merigo, Jose M. ;
Gil-Lafuente, Anna M. ;
Yager, Ronald R. .
APPLIED SOFT COMPUTING, 2015, 27 :420-433
[39]   Quantifying the cognitive extent of science [J].
Milojevic, Stasa .
JOURNAL OF INFORMETRICS, 2015, 9 (04) :962-973
[40]   Software tools for conducting bibliometric analysis in science: An up-to-date review [J].
Moral-Munoz, Jose A. ;
Herrera-Viedma, Enrique ;
Santisteban-Espejo, Antonio ;
Cobo, Manuel J. .
PROFESIONAL DE LA INFORMACION, 2020, 29 (01)