Automatic Tuning of Temperature and Pressure Coefficients on Pipeline Simulation

In the face of escalating climate change and the increasingly erratic daily temperature fluctuations, accurately simulating pipeline systems has become a daunting task. The complexity arises when precision in thermal modeling is crucial, especially for event detection. An illustrative case occurred in a Montana town, where the temperature swung by an astonishing 103 degrees Fahrenheit within a mere 24 hours. The primary challenge lies in developing a dependable thermal model for pipelines while contending with the substantial disturbances caused by fluctuating ambient temperatures. Even a minor shift in ambient temperature can trigger ripple effects throughout the entire system, resulting in inaccurate simulations. In response to this issue, this paper presents an innovative approach: the automatic tuning of model coefficients in real time. This method ensures the continual accuracy of the model, allowing it to adapt to varying conditions. Furthermore, it moves away from the necessity of employing multiple models, each fine-tuned with distinct coefficients, to accommodate diverse environmental circumstances effectively.