Speaker
Description
Accurate prediction of gas production under fluctuating operating conditions remains a key challenge.
In this work, a physically inspired Capacitance–Resistance Model (CRM) was improved by integrating a pseudo-pressure term to better reflect pressure-driven dynamics.
The coupled framework retains the smooth and interpretable structure of conventional CRM while introducing a pressure-based correction that enhances its transient response.
After moderate smoothing to avoid artificial oscillations, the fused model shows a closer agreement with observed production trends, particularly during shut-in and restart periods.
This approach provides a balanced representation between physical interpretability and dynamic adaptability, offering a practical method for forecasting gas well performance under variable reservoir pressures.
| Country | United Kingdom |
|---|---|
| Green Housing & Porous Media Focused Abstracts | This abstract is related to Green Housing |
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