Authors : Feliciano Pinto Magalhaes; Teodoro Marcos Mota

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/29szd9c4

Scribd : https://tinyurl.com/2ft9fmmt

DOI : https://doi.org/10.38124/ijisrt/26jan394

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Oil and gas investment projects are characterized by high capital intensity, extended development horizons, and substantial exposure to economic, regulatory, and geopolitical uncertainty. While scholarly interest in this field has increased over time, existing studies remain fragmented, and a consolidated overview of research evolution and thematic structure is still limited. This study conducts a bibliometric investigation to map the development of academic research on oil and gas investment using publications indexed in the Scopus database. A total of 118 documents published between 1953 and 2025 across 92 sources were analyzed. Bibliometric techniques were applied using Bibliometrix in RStudio and VOSviewer to examine publication dynamics, citation patterns, influential contributors, collaboration networks, and thematic relationships based on keyword co-occurrence analysis. The findings reveal a marked growth in research output after 2010, reflecting increased attention to investment risk, price volatility, and strategic decision-making in the oil and gas sector. Research output is concentrated within a relatively small group of journals, authors, and institutions, with the United States and China emerging as leading contributors. Core research themes are dominated by investment-related studies in the gas and oil and gas industries, strongly linked to risk assessment and uncertainty analysis. However, international collaboration and sustainability-oriented perspectives remain limited. This study provides a structured synthesis of existing research and identifies opportunities for future studies emphasizing dynamic modeling, sustainability integration, and cross-country comparative analysis.

Keywords : Oil and Gas Investment; Petroleum Project Investment; Energy Project Finance; Bibliometric Analysis; VOSviewer; Bibliometrix; Keyword Co-occurrence; Research Trends.

References :

1. Ackah, C., & Adu, F. (2014). Resource rents, institutions, and investment in Ghana’s oil sector. African Development Review, 26(2), 237–250.
2. Adityawarman, A., Samawi, N. V., Citrowati, S. A., Mota, T. M., Naikosou, M. F., & Siagian, U. W. (2025). Adopting indirect carbon pricing strategies for Indonesia: Insights from global practices using a bibliometrics and systematic literature review. International Journal of Energy Economics and Policy, 15(4), 358-366.
3. Aladeitan, A. (2013). Local content policy and its impact on oil and gas industry in Nigeria. Journal of Energy Technologies and Policy, 3(1), 1–9.
4. Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing bibliometric statistics obtained from the Web of Science and Scopus. Journal of the American Society for Information Science and Technology, 60(7), 1320–1326.
5. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
6. Auty, R. M. (2001). Resource abundance and economic development. Oxford University Press.
7. Awerbuch, S., & Berger, M. (2003). Energy security and diversity in the EU: A portfolio approach. International Energy Agency.
8. Azadi, H., Ghadimi, M., & Van Passel, S. (2020). Energy market modeling and uncertainty analysis: A bibliometric review. Energy Strategy Reviews, 31, 100536.
9. Bailey, W., Brown, S. J., & Caglayan, M. (2004). Oil price risk and firm investment. Journal of Energy Finance & Development, 9(2), 167–186.
10. Baumeister, C., & Kilian, L. (2016). Forty years of oil price fluctuations: Why the price of oil may still surprise us. Journal of Economic Perspectives, 30(1), 139–160.
11. Bjerkan, K. Y., & Seter, H. (2019). Reviewing tools and technologies for sustainable energy investments. Energy Research & Social Science, 49, 53–64.
12. Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255.
13. Bortolotti, B., Fotak, V., & Megginson, W. L. (2010). The rise of sovereign wealth funds: Definition, organization, and governance. Journal of Economic Perspectives, 24(3), 59–80.
14. Bortolotti, B., Fotak, V., Megginson, W. L., & Miracky, W. (2015). Sovereign wealth fund investment patterns and performance. Journal of International Business Studies, 46(1), 1–23.
15. Boschini, A. D., Pettersson, J., & Roine, J. (2007). Resource curse or not: A question of appropriability. Scandinavian Journal of Economics, 109(3), 593–617.
16. Brandão, L. E. T., & Saraiva, E. C. G. (2008). The option value of government guarantees in infrastructure projects. Construction Management and Economics, 26(11), 1171–1180.
17. Brealey, R. A., Myers, S. C., & Allen, F. (2011). Principles of corporate finance (10th ed.). McGraw-Hill/Irwin.
18. Broadus, R. N. (1987). Toward a definition of bibliometrics. Scientometrics, 12(5–6), 373–379.
19. Bryan, J. (2022). Investment trends and regulatory challenges in the UK oil and gas sector. Energy Policy, 165, 112978.
20. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377.
21. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.
22. Collier, P., van der Ploeg, R., Spence, M., & Venables, A. J. (2010). Managing resource revenues in developing economies. IMF Staff Papers, 57(1), 84–118.
23. Copeland, T., & Antikarov, V. (2001). Real options: A practitioner’s guide. Texere.
24. Cunha, J., Moura, A., & de Oliveira, P. (2020). Machine learning approaches for oil price forecasting. Energy Economics, 88, 104772.
25. Dias, M. A. G. (2004). Valuation of exploration and production assets: An overview of real options models. Journal of Petroleum Science and Engineering, 44(1–2), 93–114.
26. Dixit, A. K., & Pindyck, R. S. (1994). Investment under uncertainty. Princeton University Press.
27. Deloitte. (2021). 2021 oil and gas industry outlook. Deloitte Touche Tohmatsu Limited.
28. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
29. Emhjellen, M., & Alaouze, C. M. (2003). Risk management and oil project valuation. Energy Economics, 25(1), 21–41.
30. Ernst & Young. (2019). Global oil and gas capital confidence barometer. EY Global.
31. Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar. FASEB Journal, 22(2), 338–342.
32. Fattouh, B., & Sen, A. (2016). Oil prices: Anatomy of the collapse. Oxford Energy Comment.
33. Fattouh, B., Poudineh, R., & West, R. (2020). The COVID-19 crisis and the oil market. Oxford Review of Economic Policy, 36(S1), S48–S59.
34. Fæhn, T., Hagem, C., Lindholt, L., Mæland, E., & Rosendahl, K. E. (2017). Climate policies in a fossil fuel producing country. Energy Journal, 38(1), 77–102.
35. Fernandes, B., Cunha, J., & Ferreira, P. (2014). Portfolio optimization in oil and gas investments. Energy Economics, 45, 326–335.
36. Françoso, R., Silveira, M., & Costa, H. (2019). Spatial dynamics of oil and gas investments in Brazil. Energy Policy, 132, 1004–1013.
37. Gatzert, N., & Kosub, T. (2016). Risks and risk management of renewable energy projects. Renewable and Sustainable Energy Reviews, 60, 982–998.
38. Gaukrodger, D. (2012). Investment treaties and investor–state dispute settlement. OECD Publishing.
39. Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management. Technological Forecasting and Social Change, 140, 194–220.
40. Gelb, A., & Grasmann, S. (2010). How should oil exporters spend their rents? Energy Policy, 38(7), 3220–3229.
41. Ghafourian, S., & Bagheri, M. (2021). Investment decision making in oil and gas industry under uncertainty. Energy Reports, 7, 4763–4778.
42. Goldthau, A., & Sovacool, B. K. (2012). The uniqueness of the energy security, justice, and governance problem. Energy Policy, 41, 232–240.
43. Gracceva, F., Zeniewski, P., & Gambhir, A. (2013). Sectoral pathways to decarbonization. Energy Strategy Reviews, 1(3), 178–187.
44. Grubler, A., Wilson, C., Bento, N., et al. (2018). A low energy demand scenario for meeting the 1.5°C target. Nature Energy, 3(6), 515–527.
45. Gulen, S. G. (1998). Efficiency and productivity in oil markets. Energy Economics, 20(2), 157–172.
46. Henisz, W. J. (2002). The institutional environment for multinational investment. Journal of Law, Economics, and Organization, 16(2), 334–364.
47. IEA. (2009). World energy outlook 2009. International Energy Agency.
48. IEA. (2021). World energy outlook 2021. International Energy Agency.
49. IEA. (2022). World energy outlook 2022. International Energy Agency.
50. IEA. (2023). World energy outlook 2023. International Energy Agency.
51. Jaffe, A. M., & Soligo, R. (2007). The international oil companies. Energy Policy, 35(4), 1939–1946.
52. Kellas, D. (2010). Regulatory risk and investment decisions in extractive industries. Energy Policy, 38(9), 4887–4895.
53. Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25.
54. Kettunen, J., Bunn, D. W., & Mönnigmann, M. (2006). Investment timing in energy markets. Energy Economics, 28(3), 336–350.
55. Kokol, P., & Blažun Vošner, H. (2018). Discrepancies among Scopus, Web of Science, and PubMed coverage. Journal of the Medical Library Association, 106(1), 81–86.
56. Laughton, D. G. (1998). Asset pricing methods for upstream petroleum evaluation. Energy Journal, 19(2), 77–105.
57. Liu, Z., Yin, Y., Liu, W., & Dunford, M. (2022). Energy transition research evolution. Energy Policy, 158, 112553.
58. Megginson, W. L., & Fotak, V. (2015). Rise of the fiduciary state. Journal of Economic Surveys, 29(4), 733–778.
59. Mingers, J., & Leydesdorff, L. (2015). Theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19.
60. Mohn, K., & Osmundsen, P. (2008). Exploration economics in a regulated petroleum province. Energy Economics, 30(2), 303–320.
61. Mohn, K., & Osmundsen, P. (2011). Asymmetric information and uncertainty in oil and gas investment. Energy Economics, 33(6), 1254–1264.
62. Mohaddes, K., & Raissi, M. (2017). The U.S. oil supply revolution and the global economy. IMF Working Paper.
63. Mongeon, P., & Paul-Hus, A. (2016). Journal coverage of Web of Science and Scopus. Scientometrics, 106(1), 213–228.
64. Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for bibliometric analysis. Scientometrics, 123(2), 1155–1182.
65. Mota, T. M. (2024). Wormhole geometry modelling on carbonate matrix acidizing: A literature review. International Journal of Innovative Science and Research Technology, 9(6), 2216–2239.
66. Mota, T. M., & dos Reis Alves, M. O. (2021). Production Forecast Using Decline Type Curve (Case Study for Reservoir X, Field Y). Timor-Leste Journal of Engineering and Science, 2, 32-46.
67. Mota, T. M., & Rachmat, S. (2020). Parametric wormhole studies on matrix acidizing carbonate reservoir. Timor-Leste Journal of Engineering and Science, 1, 11–27.
68. Mota, T. M., Adityawarman, Ariadji, T., Naikosou, M. F., Guterres, M. V., Samawi, N. V., Hidayat, M., Siagian, U. W. R., Dewi, R. G., & Saldanha, E. de S. (2026). Petroleum funds as instruments of energy policy and economic diversification: A cross-country integrative review. International Journal of Energy Economics and Policy, 16(1), 554–565.
69. Mota, T. M., Saldanha, E. de S., Naikosou, M. F., Guturres, S. M. F. J., Guterres, S. A., dos Santos, I., Amaral, F. L. S., Neto, T. V. S., Guterres, M. A., & de Jesus, O. A. F. S. (2024). Evaluating net cash flow in greenfield oil and gas projects: A case study of low, base, and high scenarios. Timor-Leste Journal of Business and Management, 6(1), 29–41.
70. Narsilio, G. A., & Zarrella, A. (2021). Life-cycle assessment in energy investment decisions. Energy Reports, 7, 1935–1947.
71. Obeng-Odoom, F. (2014). Oil, rent and the Ghanaian economy. African Review of Economics and Finance, 5(2), 1–25.
72. OECD. (2010). International investment perspectives. OECD Publishing.
73. OECD. (2017). Investing in climate, investing in growth. OECD Publishing.
74. Overland, I. (2010). Energy supply security. Energy Policy, 38(8), 3865–3873.
75. Overland, I. (2019). The geopolitics of renewable energy. Energy Research & Social Science, 49, 36–42.
76. Paltsev, S. (2016). Energy scenarios. Energy Economics, 58, 4–17.
77. Pereira, A. M., Pereira, R. M., & Rodrigues, P. G. (2011). Oil investment and economic growth in Brazil. Energy Economics, 33(3), 449–456.
78. PwC. (2018). Oil and gas trends 2018. PricewaterhouseCoopers.
79. Saldanha, E. S., Ribeiro, S. da S., Mota, T. M., & Amaral, F. L. S. (2023). Unveiling the nexus: Exploring customer satisfaction as a mediator in the interplay between marketing mix and customer loyalty at petro stations in Dili, Timor-Leste. Timor-Leste Journal of Business and Management, 5(2), 1–13.
80. Shalbolova, U., Kalyuzhnova, Y., & Nygaard, A. (2024). Local content policies and oil investment in Kazakhstan. Energy Policy, 186, 113812.
81. Small, H. (1973). Co-citation in the scientific literature. Journal of the American Society for Information Science, 24(4), 265–269.
82. Smith, J. E., & McCardle, K. F. (1999). Options in the real world. Operations Research, 47(1), 1–15.
83. Smit, H. T. J., & Trigeorgis, L. (2004). Strategic investment: Real options and games. Princeton University Press.
84. Sorrell, S., Speirs, J., Bentley, R., Brandt, A., & Miller, R. (2009). Global oil depletion. Energy Policy, 38(9), 5290–5295.
85. Stevens, P. (2008). National oil companies in the Middle East. Energy Policy, 36(3), 903–911.
86. Sovacool, B. K., Axsen, J., & Sorrell, S. (2020). Promoting novelty in energy social science. Energy Research & Social Science, 49, 1–7.
87. Tahamtan, I., Afshar, A. S., & Ahamdzadeh, K. (2016). Factors affecting citations. Scientometrics, 107(3), 1195–1225.
88. Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in resource allocation. MIT Press.
89. Truman, E. M. (2008). Sovereign wealth funds. Peterson Institute for International Economics.
90. UNEP. (2021). Emissions gap report 2021. United Nations Environment Programme.
91. van de Graaf, T., & Sovacool, B. K. (2020). Global energy governance in a multipolar world. Energy Policy, 141, 111394.
92. van Eck, N. J., & Waltman, L. (2010). VOSviewer: A computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.
93. van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring scholarly impact (pp. 285–320). Springer.
94. Victor, D. G., Hults, D. R., & Thurber, M. C. (2012). Oil and governance. Cambridge University Press.
95. Waltman, L. (2016). Citation impact indicators. Journal of Informetrics, 10(2), 365–391.
96. Wang, Q. (2016). Investment attractiveness of China’s natural gas sector. Energy Policy, 88, 568–575.
97. World Bank. (2015). World development indicators. World Bank Group.
98. World Bank. (2023). World development indicators. World Bank Group.
99. Wüstenhagen, R., & Menichetti, E. (2012). Strategic choices for renewable energy investment. Energy Policy, 40, 1–10.
100. Yergin, D. (2012). The quest: Energy, security, and the remaking of the modern world. Penguin Press.
101. Zhang, Y., Li, X., & Wang, S. (2022). Artificial intelligence applications in energy investment decisions. Energy Economics, 103, 105571.
102. Zhu, J., Liu, W., & Li, X. (2021). Global energy research trends. Energy Reports, 7, 5282–5295.
103. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.