Research on Oil Well Production Prediction Based on GRU-KAN Model Optimized by PSO
Accurately predicting oil well production volume is of great significance in oilfield production. To overcome the shortcomings in the current study of oil well production prediction, we propose a hybrid model (GRU-KAN) with the gated recurrent unit (GRU) and Kolmogorov–Arnold network (KAN). The GRU-...
Saved in:
| Main Authors: | Bo Qiu, Jian Zhang, Yun Yang, Guangyuan Qin, Zhongyi Zhou, Cunrui Ying |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/21/5502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance
by: Federica Aracri, et al.
Published: (2025-06-01) -
Long Term Trajectory Prediction of Hypersonic Aircraft Based on GRU-KAN
by: Su Yu, Zhang Longzhengteng, Zhao Guohong, Guo Zhengyu, Zhang Ke
Published: (2024-12-01) -
SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN
by: Shengfeng He, et al.
Published: (2025-04-01) -
Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data
by: Muhammed Haziq Muhammed Nor, et al.
Published: (2025-01-01) -
Evaluating Imputation Methods to Improve Prediction Accuracy for an HIV Study in Uganda
by: Nadia B. Mendoza, et al.
Published: (2024-11-01)