Energy Efficiency Trends in Petroleum Extraction: A Bibliometric Study

Dauren A. Yessengaliyev, Yerlan U. Zhumagaliyev (), Adilbek A. Tazhibayev (), Zhomart A. Bekbossynov, Zhadyrassyn S. Sarkulova, Gulya A. Issengaliyeva, Zheniskul U. Zhubandykova, Viktor V. Semenikhin, Kuralai T. Yeskalina and Arystanbek E. Ansapov
Additional contact information
Dauren A. Yessengaliyev: “TRENCO R&D” LLP, Astana 010000, Kazakhstan
Yerlan U. Zhumagaliyev: “TRENCO R&D” LLP, Astana 010000, Kazakhstan
Adilbek A. Tazhibayev: “TRENCO R&D” LLP, Astana 010000, Kazakhstan
Zhomart A. Bekbossynov: “TRENCO R&D” LLP, Astana 010000, Kazakhstan
Zhadyrassyn S. Sarkulova: Department of Oil and Gas Industry, K.Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Gulya A. Issengaliyeva: Department of Ecology, K.Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Zheniskul U. Zhubandykova: Department of Oil and Gas Industry, K.Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Viktor V. Semenikhin: Department of Oil and Gas Industry, K.Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Kuralai T. Yeskalina: Department of Metallurgy and Mining, K.Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Arystanbek E. Ansapov: Department of Operation and Equipment, S.Seifullin Kazakh Agrotechnical Research University, Astana 010000, Kazakhstan

Energies, 2024, vol. 17, issue 12, 1-13

Abstract: This comprehensive bibliometric analysis investigates energy-saving strategies in petroleum extraction, shedding light on key research areas, trends, and collaborations. The analysis covers 98 research articles spanning from 2003 to 2024, sourced from the Web of Science (WOS) database and analyzed using the Bibliometrics R package v.4.1.3, including descriptive statistics, network analysis, and factorial analysis. Findings reveal significant contributions from China, Canada, Russia, and the USA, with notable collaborations and thematic clusters identified. Top journals, prolific authors, and leading institutions are highlighted, showcasing global efforts in advancing sustainability in the oil industry. Institutions like the University of Calgary and authors such as Gates ID, Ren SR, and Zhang L play significant roles in advancing knowledge in this domain. Keyword analysis underscores prevalent themes such as optimization, simulation, and energy efficiency. Technological innovations, process optimization, and organizational strategies emerge as crucial avenues for reducing electrical energy consumption in oil extraction operations. However, limitations include database constraints and language bias. Overall, this study offers valuable insights for researchers, policymakers, and industry stakeholders, informing future research directions and policy initiatives for enhancing energy efficiency and sustainability in petroleum extraction.

Keywords: energy efficiency; oil extraction; sustainability; bibliometric analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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