Evaluation of hydraulic fracturing using machine learning
Abstract Hydraulic fracturing (HF) is a pivotal technique in the oil and gas industry, aimed at enhancing hydrocarbon recovery by increasing reservoir permeability through high-pressure fluid injection. Despite its effectiveness, traditional methods used to evaluate HF performance often struggle to...
Saved in:
| Main Authors: | Ali Akbari, Ali Karami, Yousef Kazemzadeh, Ali Ranjbar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12392-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Experimental and numerical studies on propagation behavior between hydraulic fractures and pre-existing fractures under prepulse combined hydraulic fracturing
by: Chao Wei, et al.
Published: (2025-05-01) -
Study on Hydraulic Fracture Propagation of Strong Heterogeneous Shale Based on Stress‐Seepage Damage Coupling Model
by: Wei Liu, et al.
Published: (2025-01-01) -
Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures
by: Dennis Delali Kwesi Wayo, et al.
Published: (2025-08-01) -
Experimental study of the effect of natural fracture curvature on hydraulic fracture propagation behavior
by: Xun Gong, et al.
Published: (2025-07-01) -
Supervised methods of machine learning for email classification: a literature survey
by: Muath AlShaikh, et al.
Published: (2025-12-01)