Analysis of the Shale Gas Production Prediction Model Based on Machine Learning Using Productivity Factors
Author:
Affiliation:
1. Department of Energy & Resources Engineering, National Korea Maritime & Ocean University, Busan, Korea
Publisher
The Korean Society of Mineral and Energy Resources Engineers
Link
https://www.jksmer.or.kr/articles/pdf/doi/10.32390/ksmer.2024.61.2.111.pdf
Reference26 articles.
1. A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data of Glioma
2. XGBoost
3. An Unconventional Rate Decline Approach for Tight and Fracture-Dominated Gas Wells
4. Numerical Simulation of Gas Production from Gas Shale Reservoirs—Influence of Gas Sorption Hysteresis
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