Prediction of Gas Well Annulus Pressure Based on Neural Network

Abnormal pressure in the annulus is one of main risks that threaten safe production gas wells and affect their efficiency. To further improve well management level based on gray system theory new information priority ideology, this study introduced a perspective. First, we considered influence various factors related to change performed grey correlation analysis. Next, established multivariable prediction model annular with associated metabolic function. The measured data high-pressure high-yield Northwestern Sichuan for 12 consecutive hours day, was used as case study. effectiveness proposed verified by comparing predicted results data. research verify feasibility dynamic provide theoretical support early diagnosis active prevention continuous pressure.