Permeability prediction using logging data from tight reservoirs based on deep neural networks

• Published in: Journal of applied geophysics Vol. 229; p. 105501
• Main Authors: Fang, Zhijian, Ba, Jing, Carcione, José M., Xiong, Fansheng, Gao, Li
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2024
• Subjects: Deep neural networks; Machine learning; Ordos Basin; Permeability prediction; Tight reservoirs; Well-log data; Ordos Basin; Deep neural networks; Permeability prediction; Tight reservoirs; Well-log data; Machine learning

Permeability is a critical parameter for evaluating reservoir properties, and accurate prediction is an important basis for identifying high-quality reservoirs and geological modeling. However, the strong heterogeneity, complex lithology and diagenesis in the reservoirs of this region pose a major c...