Modeling of permeability impairment dynamics in porous media: A machine learning approach
The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for predicting the dynamics of throat clogging and permeability impairment due to f...
محفوظ في:
| المؤلف الرئيسي: | Ahmed, Elrahmani (author) |
|---|---|
| مؤلفون آخرون: | Al-Raoush, Riyadh I. (author), Ayari, Mohamed Arselene (author) |
| التنسيق: | article |
| منشور في: |
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1016/j.powtec.2023.119272 https://www.sciencedirect.com/science/article/pii/S0032591023010550 http://hdl.handle.net/10576/54036 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Clogging and permeability reduction dynamics in porous media: A numerical simulation study
حسب: Ahmed Elrahmani (17128837)
منشور في: (2023) -
Machine learning-driven identification and predictive mapping of clogging regimes in porous media
حسب: Ahmed Elrahmani (17128837)
منشور في: (2025) -
Fines effect on gas flow in sandy sediments using μCT and pore networks
حسب: Jamal A. Hannun (14779078)
منشور في: (2022) -
Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM
حسب: Ahmed Elrahmani (17128837)
منشور في: (2022) -
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta
حسب: Vaisali Chandrasekar (16904526)
منشور في: (2023)