Cite
Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China.
MLA
Yi, Jun, et al. “Spatial Correlation-Based Machine Learning Framework for Evaluating Shale Gas Production Potential: A Case Study in Southern Sichuan Basin, China.” Applied Energy, vol. 357, Mar. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.apenergy.2023.122483.
APA
Yi, J., Qi, Z., Li, X., Liu, H., & Zhou, W. (2024). Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China. Applied Energy, 357, N.PAG. https://doi.org/10.1016/j.apenergy.2023.122483
Chicago
Yi, Jun, ZhongLi Qi, XiangChengZhen Li, Hong Liu, and Wei Zhou. 2024. “Spatial Correlation-Based Machine Learning Framework for Evaluating Shale Gas Production Potential: A Case Study in Southern Sichuan Basin, China.” Applied Energy 357 (March): N.PAG. doi:10.1016/j.apenergy.2023.122483.