Integrated CNN-LSTM-XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends.
- DOI
- 10.1038/s41598-026-55910-1
- Published
- 2026 Jun 4
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55910-1,
title = {Integrated CNN-LSTM-XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends.},
author = {Chen G and Zhao T and Pang C and Busababodhin P},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55910-1},
url = {https://doi.org/10.1038/s41598-026-55910-1}
}RIS
TY - JOUR TI - Integrated CNN-LSTM-XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends. AU - Chen G AU - Zhao T AU - Pang C AU - Busababodhin P PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55910-1 UR - https://doi.org/10.1038/s41598-026-55910-1 ER -
APA
G, C., T, Z., C, P., & P, B. (2026). Integrated CNN-LSTM-XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends.. Scientific reports. https://doi.org/10.1038/s41598-026-55910-1
Source records
- pubmed · retrieved 2026-09-27T00:41:02.571Z