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Peer-reviewedCC BYNanomaterials (Basel, Switzerland)

Mechanical Prediction of Shale Oil Reservoirs Based on Micromechanical Characterization, Machine Learning, and Upscaling Model

  1. 1Research Institute of Exploration & Development, PetroChina Changqing Oilfield Company, Xi’an 710018, China; (X.W.); (J.F.); (R.C.); (A.W.)
  2. 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  -