Exploring causal relationships across shale gas wells: granger causality-based temporal production prediction

Run Yang, Jiajie Zhu, Pengfei Ding, Yan Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Original language	English
Title of host publication	21st International Conference on Advanced Data Mining and Applications 2025 (ADMA 2025)
Publication status	Accepted/In press - 2025

Cite this

@inproceedings{faf9b7b5801d4dfdabaaf7058ae235ce,

title = "Exploring causal relationships across shale gas wells: granger causality-based temporal production prediction",

author = "Run Yang and Jiajie Zhu and Pengfei Ding and Yan Wang",

year = "2025",

language = "English",

booktitle = "21st International Conference on Advanced Data Mining and Applications 2025 (ADMA 2025)",

}

TY - GEN

T1 - Exploring causal relationships across shale gas wells

T2 - granger causality-based temporal production prediction

AU - Yang, Run

AU - Zhu, Jiajie

AU - Ding, Pengfei

AU - Wang, Yan

PY - 2025

Y1 - 2025

UR - https://adma2025.github.io

M3 - Conference proceeding contribution

BT - 21st International Conference on Advanced Data Mining and Applications 2025 (ADMA 2025)

ER -