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Natural gas from shale formation: A research profile

Citations

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Cited by:

  1. Wang, Qiang & Li, Rongrong, 2017. "Research status of shale gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 715-720.
  2. Chun Deng & Jie-Fang Dong, 2016. "Coal Consumption Reduction in Shandong Province: A Dynamic Vector Autoregression Model," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
  3. Wang, Qiang & Li, Shuyu & Li, Rongrong & Ma, Minglu, 2018. "Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model," Energy, Elsevier, vol. 160(C), pages 378-387.
  4. Sharafian, Amir & Talebian, Hoda & Blomerus, Paul & Herrera, Omar & Mérida, Walter, 2017. "A review of liquefied natural gas refueling station designs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 503-513.
  5. Wan, Xuesong & Zhang, Weiwei & Deng, Ke & Luo, Maokang, 2024. "Shale gas completion fracturing technology based on FAE controlled burning explosion," Energy, Elsevier, vol. 296(C).
  6. Rui Jiang & Rongrong Li, 2017. "Decomposition and Decoupling Analysis of Life-Cycle Carbon Emission in China’s Building Sector," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
  7. Shuyu Li & Rongrong Li, 2017. "Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
  8. Qiang Wang & Rongrong Li & Rui Jiang, 2016. "Decoupling and Decomposition Analysis of Carbon Emissions from Industry: A Case Study from China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
  9. Wang, Qiang & Jiang, Xue-ting & Li, Rongrong, 2017. "Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China," Energy, Elsevier, vol. 127(C), pages 78-88.
  10. Minglu Ma & Min Su & Shuyu Li & Feng Jiang & Rongrong Li, 2018. "Predicting Coal Consumption in South Africa Based on Linear (Metabolic Grey Model), Nonlinear (Non-Linear Grey Model), and Combined (Metabolic Grey Model-Autoregressive Integrated Moving Average Model," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
  11. Feng Jiang & Xue Yang & Shuyu Li, 2018. "Comparison of Forecasting India’s Energy Demand Using an MGM, ARIMA Model, MGM-ARIMA Model, and BP Neural Network Model," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
  12. Wang, Qiang & Song, Xiaoxing & Li, Rongrong, 2018. "A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production," Energy, Elsevier, vol. 165(PB), pages 1320-1331.
  13. Xue-Ting Jiang & Min Su & Rongrong Li, 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
  14. Xiaoping Zhu & Rongrong Li, 2017. "An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
  15. Min Su & Rui Jiang & Rongrong Li, 2017. "Investigating Low-Carbon Agriculture: Case Study of China’s Henan Province," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
  16. Jie-Fang Dong & Chun Deng & Xing-Min Wang & Xiao-Lei Zhang, 2016. "Multilevel Index Decomposition of Energy-Related Carbon Emissions and Their Decoupling from Economic Growth in Northwest China," Energies, MDPI, vol. 9(9), pages 1-17, August.
  17. Jiefang Dong & Chun Deng & Rongrong Li & Jieyu Huang, 2016. "Moving Low-Carbon Transportation in Xinjiang: Evidence from STIRPAT and Rigid Regression Models," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
  18. Wang, Qiang & Song, Xiaoxin, 2019. "Forecasting China's oil consumption: A comparison of novel nonlinear-dynamic grey model (GM), linear GM, nonlinear GM and metabolism GM," Energy, Elsevier, vol. 183(C), pages 160-171.
  19. Rongrong Li & Rui Jiang, 2017. "Moving Low-Carbon Construction Industry in Jiangsu Province: Evidence from Decomposition and Decoupling Models," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
  20. Xue-Ting Jiang & Rongrong Li, 2017. "Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States," Sustainability, MDPI, vol. 9(6), pages 1-13, May.
  21. Rongrong Li & Xue-Ting Jiang, 2017. "Inequality of Carbon Intensity: Empirical Analysis of China 2000–2014," Sustainability, MDPI, vol. 9(5), pages 1-12, April.
  22. Keenan, Rodney J. & Pozza, Greg & Fitzsimons, James A., 2019. "Ecosystem services in environmental policy: Barriers and opportunities for increased adoption," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
  23. Xue-Ting Jiang & Jie-Fang Dong & Xing-Min Wang & Rong-Rong Li, 2016. "The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
  24. Wang, Qiang & Li, Rongrong & He, Gang, 2018. "Research status of nuclear power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 90-96.
  25. Rongrong Li & Min Su, 2017. "The Role of Natural Gas and Renewable Energy in Curbing Carbon Emission: Case Study of the United States," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
  26. Fritsch, Jorik & Poudineh, Rahmatallah, 2016. "Gas-to-power market and investment incentive for enhancing generation capacity: An analysis of Ghana's electricity sector," Energy Policy, Elsevier, vol. 92(C), pages 92-101.
  27. Xiao Li & Yongting Duan & Shouding Li & Runqing Zhou, 2017. "Study on the Progressive Failure Characteristics of Longmaxi Shale under Uniaxial Compression Conditions by X-ray Micro-Computed Tomography," Energies, MDPI, vol. 10(3), pages 1-13, March.
  28. Rui Jiang & Yulin Zhou & Rongrong Li, 2018. "Moving to a Low-Carbon Economy in China: Decoupling and Decomposition Analysis of Emission and Economy from a Sector Perspective," Sustainability, MDPI, vol. 10(4), pages 1-12, March.
  29. Wang, Qiang & Jiang, Feng, 2019. "Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States," Energy, Elsevier, vol. 178(C), pages 781-803.
  30. Yao, Liuyang & Sui, Bo, 2020. "Heterogeneous preferences for shale water management: Evidence from a choice experiment in Fuling shale gas field, southwest China," Energy Policy, Elsevier, vol. 147(C).
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