Quantitative prediction of tight sandstone sweet spots based on deep learning method with prior information constraints

doi:10.13810/j.cnki.issn.1000-7210.2023.01.006

WANG Di, ZHANG Yiming, ZHANG Fanchang, DING Jicai, NIU Cong

Oil Geophysical Prospecting ›› 2023, Vol. 58 ›› Issue (1) : 65-74.

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Oil Geophysical Prospecting ›› 2023, Vol. 58 ›› Issue (1) : 65-74. DOI: 10.13810/j.cnki.issn.1000-7210.2023.01.006

Quantitative prediction of tight sandstone sweet spots based on deep learning method with prior information constraints

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 58(1): 65-74 https://doi.org/10.13810/j.cnki.issn.1000-7210.2023.01.006

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Received	Revised	Published
2022-01-04	2022-10-25	2023-02-15
Issue Date
2023-02-15

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