Concepedia

Laiming Song

LS

Statistics

Publications

3

Citations

67

H-Index

3

Active since

2022

Affiliations

Research Institute of Petroleum Exploration and Development(Current)

Laiming Song is an author at Research Institute of Petroleum Exploration and Development specializing in well modeling, well performance analysis, and data science.

Publications per year

2022–2023

3

Publications

3

A data-driven model for predicting initial productivity of offshore directional well based on the physical constrained eXtreme gradient boosting (XGBoost) trees

Yintao Dong, Ling Qiu, Chuan Lü et al. · Journal of Petroleum Science and Engineering · 2022 · 37 citations

, , +17

A physics-guided eXtreme gradient boosting model for predicting the initial productivity of oil wells

Yintao Dong, Laiming Song, Qianhui Zhao et al. · Geoenergy Science and Engineering · 2023 · 17 citations

, , +11

A data-driven model for production prediction of strongly heterogeneous reservoir under uncertainty

Enda Du, Yuetian Liu, Liang Xue et al. · Geoenergy Science and Engineering · 2023 · 13 citations

, , +15

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