Identification of the formation temperature field of the southern Songliao Basin, China based on a deep belief network
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DOI: 10.1016/j.renene.2021.09.127
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Cited by:
- Yongzhu Xiong & Mingyong Zhu & Yongyi Li & Kekun Huang & Yankui Chen & Jingqing Liao, 2022. "Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning," Energies, MDPI, vol. 15(8), pages 1-29, April.
- Wanli Gao & Jingtao Zhao & Suping Peng, 2022. "UNet–Based Temperature Simulation of Hot Dry Rock in the Gonghe Basin," Energies, MDPI, vol. 15(17), pages 1-17, August.
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Keywords
Deep belief network; Formation temperature; Geothermal gradient; Songliao basin;All these keywords.
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