Retraction

Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.1007/s13202-023-01666-7

Citations (4)

4
Total Citations
3
Post-Retraction
(75.0%)
0
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
0 After 2+ years
713 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Correlation-Based EUR prediction of shale oil wells:A case of the Qingcheng Oil field in the Ordos Basin
Suiyi Fu, Lingbin Lai, Zhengdong Lei et al. (8 authors)
Petroleum Research Open Access
Published: Jun 2025
713 days after retraction
Applicability of ensemble learning in total organic carbon and porosity evaluation of shales
Luchuan Zhang, Yibo Li, Lei Zhang et al. (13 authors)
Physics of Fluids
Published: Oct 2024
2 citations
470 days after retraction
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi et al. (17 authors)
Journal of Materials Chemistry A Open Access
Published: Jan 2024
16 citations
196 days after retraction
Quick Stats
Total Citations: 10
Years Since Retraction: 2.4 years
Open Access: Yes
Last Checked: Jul 24, 2025