Physics of Fluids, Год журнала: 2025, Номер 37(2)

Опубликована: Фев. 1, 2025

The friction factor is one of the key parameters for evaluating fluid flow characteristics and pressure head loss in fractures, accurate prediction crucial a deeper understanding fracture processes. Traditional studies often consider roughness effects only inertial factor, overlooking its impact on viscous factor. To address this limitation, study introduces equivalent permeability non-Darcy coefficient rough fractures fits Forchheimer equation using 78 experimental data points, proposing model that simultaneously considers both factors. Flow simulations two-dimensional real yielded 3500 which were further used to construct three artificial intelligence (AI) models: Random Forest, Support Vector Machine, K-Nearest Neighbors. Sensitivity analysis comparison with simulation showed proposed outperforms existing models trends, range more accurately covering majority data. In contrast traditional either or account effects, provides predictions. Additionally, AI demonstrate superior fitting performance trends ranges, better capturing These findings provide important theoretical methodological support research flow.

Язык: Английский