Dual-driving of data and knowledge to reduce uncertainty in lithofacies interpolation

• Published in: Scientific reports Vol. 15; no. 1; pp. 2572 - 12
• Main Authors: Dou, Mengjiao, Li, Shaohua, Chang, Lunjie, Wang, Kaiyu, Li, Jun, Dai, Mengying
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.01.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 704/2151/213; 704/2151/3930; Conditional data; Dual-driving modeling; Fault lines; Geology; Humanities and Social Sciences; Information processing; Interpretation of connected well profile; Knowledge; Lithofacies interpolation; multidisciplinary; Oil and gas fields; Oil fields; Permeability; Reservoirs; Science; Science (multidisciplinary); Sedimentation & deposition; Simulation; Stratigraphy; Lithofacies interpolation; Dual-driving modeling; Conditional data; Interpretation of connected well profile

The reservoir in focus has braided river delta front deposition, with multiple periods of submerged distributary channels within the reservoir. It also displays frequent cutting and stacking with local-connecting characteristics. Forecasting the sand distribution characteristics between wells in thi...