Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models
Abstract Asphaltene precipitation during natural depletion can lead to substantial issues in oil transport and production systems, requiring close assessment of crude oil stability through thermodynamic and structural factors. This precipitation can alter wettability, reduce permeability, and block...
Saved in:
| Main Authors: | Behnam Amiri-Ramsheh, Sara Sahebalzamani, Reza Zabihi, Abdolhossein Hemmati-Sarapardeh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11966-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Formation damage analysis of matrix acidizing: effect of emulsion formation, asphaltene sludge, and iron precipitation
by: Shayan Zarei, et al.
Published: (2025-07-01) -
Catagenetic trends in composition and structure parameters of asphaltenes
by: L. S. Borisova, et al.
Published: (2024-04-01) -
Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI
by: Mehwish Naz, et al.
Published: (2025-01-01) -
Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms
by: Jose Herrera‐Camacho, et al.
Published: (2025-07-01) -
Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm
by: Pedro Torres-Bermeo, et al.
Published: (2025-07-01)