EUR Prediction for Shale Gas Wells Based on the ROA-CatBoost-AM Model

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2156 - 2156

Published: Feb. 18, 2025

Shale gas is a critical energy resource, and estimating its ultimate recoverable reserves (EUR) key indicator for evaluating the development potential effectiveness of wells. To address challenges in accurately predicting shale EUR, this study analyzed production data from 200 wells CN block. Sixteen factors influencing EUR were considered, geological, engineering, identified using Spearman correlation analysis mutual information methods to exclude highly linearly correlated variables. An attention mechanism was introduced weight input features prior model training, enhancing interpretability feature contributions. The hyperparameters optimized Rabbit Optimization Algorithm (ROA), 10-fold cross-validation employed improve stability reliability evaluation, mitigating overfitting bias. performance four machine learning models compared, optimal selected. results indicated that ROA-CatBoost-AM exhibited superior both fitting accuracy prediction effectiveness. This subsequently applied identifying primary controlling productivity, providing effective guidance practices. dominant forecasts determined by offer valuable references optimizing block strategies.

Language: Английский

Management science in the age of the internet and digital revolution

Annals of Operations Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский