Peer-reviewedCC BYNanomaterials (Basel, Switzerland)
Mechanical Prediction of Shale Oil Reservoirs Based on Micromechanical Characterization, Machine Learning, and Upscaling Model
- 1Research Institute of Exploration & Development, PetroChina Changqing Oilfield Company, Xi’an 710018, China; (X.W.); (J.F.); (R.C.); (A.W.)
- 2State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China; (J.D.); (H.T.)
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BibTeX
@article{wan2026mechanical,
title = {{Mechanical Prediction of Shale Oil Reservoirs Based on Micromechanical Characterization, Machine Learning, and Upscaling Model}},
author = {Xiaolong Wan and Jianming Fan and Rui Chang and Jiayi Dai and Ameng Wu and Huiying Tang and Junliang Zhao},
journal = {Nanomaterials (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667197},
note = {CC BY},
}
RIS
TY - JOUR
TI - Mechanical Prediction of Shale Oil Reservoirs Based on Micromechanical Characterization, Machine Learning, and Upscaling Model
AU - Xiaolong Wan
AU - Jianming Fan
AU - Rui Chang
AU - Jiayi Dai
AU - Ameng Wu
AU - Huiying Tang
AU - Junliang Zhao
PY - 2026
DA - 2026/09/29
JO - Nanomaterials (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667197
SN - 2079-4991
ER -