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Analyzing the Learning Path of US Shale Players by Using the Learning Curve Method

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  • Jong-Hyun Kim

    (Department of Energy Resources Engineering, Inha University, 100 Inharo, Nam-gu, Incheon 22212, Korea)

  • Yong-Gil Lee

    (Department of Energy Resources Engineering, Inha University, 100 Inharo, Nam-gu, Incheon 22212, Korea)

Abstract

The US shale exploration and production (E&P) industry has grown since 2007 due to the development of new techniques such as hydraulic fracturing and horizontal drilling. As a result, the share of shale gas in the US natural gas production is almost 50%, and the share of tight oil in the US crude oil production is almost 52%. Even though oil and gas prices decreased sharply in 2014, the production amounts of shale gas and tight oil increased between 2014 and 2015. We show that many players in the US shale E&P industry succeeded in decreasing their production costs to maintain their business activity and production. However, most of the companies in the US petroleum E&P industry incurred losses in 2015 and 2016. Furthermore, crude oil and natural gas prices could not rebound to their 2015 price levels. Therefore, many companies in the US petroleum E&P industry need to increase their productivity to overcome the low commodity prices situation. Hence, to test the change in their productivity and analyze their ability to survive in the petroleum industry, this study calculates the learning rate using the US shale E&P players’ annual report data from 2008 to 2016. The result of the calculation is that the long-term learning rate is 1.87% and the short-term learning rate is 3.16%. This indicates a change in the technological development trend.

Suggested Citation

  • Jong-Hyun Kim & Yong-Gil Lee, 2017. "Analyzing the Learning Path of US Shale Players by Using the Learning Curve Method," Sustainability, MDPI, vol. 9(12), pages 1-8, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2232-:d:121390
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    References listed on IDEAS

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    Cited by:

    1. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    2. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    3. Jong-Hyun Kim & Yong-Gil Lee, 2018. "Learning Curve, Change in Industrial Environment, and Dynamics of Production Activities in Unconventional Energy Resources," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
    4. Jong-Hyun Kim & Yong-Gil Lee, 2020. "Patent Analysis on the Development of the Shale Petroleum Industry Based on a Network of Technological Indices," Energies, MDPI, vol. 13(24), pages 1-15, December.
    5. Jong-Hyun Kim & Yong-Gil Lee, 2020. "Progress of Technological Innovation of the United States’ Shale Petroleum Industry Based on Patent Data Association Rules," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    6. Hongxun Liu & Jianglong Li, 2018. "The US Shale Gas Revolution and Its Externality on Crude Oil Prices: A Counterfactual Analysis," Sustainability, MDPI, vol. 10(3), pages 1-17, March.

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