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Cited by 359

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

The shale gas revolution: Barriers, sustainability, and emerging opportunities

Open access
Middleton, Richard S., Gupta, Rajan, Hyman, Jeffrey D., Viswanathan, Hari S.·2017·Applied Energy

Abstract

Shale gas and hydraulic refracturing has revolutionized the US energy sector in terms of prices, consumption, and CO2 emissions. However, key questions remain including environmental concerns and extraction efficiencies that are leveling off. For the first time, we identify key discoveries, lessons learned, and recommendations from this shale gas revolution through extensive data mining and analysis of 23 years of production from 20,000 wells. Discoveries include identification of a learning-by-doing process where disruptive technology innovation led to a doubling in shale gas extraction, how refracturing with emerging technologies can transform existing wells, and how overall shale gas production is actually dominated by long-term tail production rather than the high-profile initial exponentially-declining production in the first 12 months. We hypothesize that tail production can be manipulated, through better fracturing techniques and alternative working fluids such as CO2, to increase shale gas recovery and minimize environmental impacts such as through carbon sequestration.

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Metadata

Authors
Middleton, R. S., Gupta, R., Hyman, J. D., & Viswanathan, H. S.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2017-08
Volume
199
Pages
88-95
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2612780680
Cited by
359
References
25
FWCI
25.95
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The shale gas revolution: Barriers, sustainability, and emerging opportunities. https://app.cochat.ai/papers/10.1016/j.apenergy.2017.04.034
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Middleton, R. S., Gupta, R., Hyman, J. D., & Viswanathan, H. S. (2017). The shale gas revolution: Barriers, sustainability, and emerging opportunities. Applied Energy. https://doi.org/10.1016/j.apenergy.2017.04.034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.