Development and Application of Foam Drainage System Optimization Software

Abstract

This study proposes an intelligent decision-making method based on the combination of time series prediction and multi-dimensional evaluation, aiming at the key issues of foam drainage agent dosage control and injection system optimization in foam drainage gas production process of shale gas wells. By constructing a time-series prediction model for gas well production parameters, accurate fitting of dynamic production data such as gas production and gas yield can be achieved; And through the fuzzy comprehensive evaluation model, threshold clustering is used to ultimately obtain the optimal foam drainage system. Based on the above theoretical framework, the foam drainage system optimization software system was developed, and the software operation flow chart, user interface, and functional design considerations are provided. Finally, the software was used to optimize the actual foam drainage system of a shale gas well. The application results show that the software is simple to use, has relatively complete functions, and can provide the optimal bubble discharge system, which has promotional value.