Research on the Optimization of Continuous Gas Lift Production from Multiple Wells on the Platform

As the development of oil and gas resources becomes increasingly complex, the traditional oil and gas well management model faces many challenges. Continuous gas lift technology has become an important means to improve oil and gas well recovery due to its high efficiency and adaptability. Because of the multi-well continuous gas lift process on the platform, there is mutual interference between wells, and the constraints of the total gas production of each well need to be greater than the critical liquid-carrying flow rate. (Under production conditions, when gas–liquid two-phase flow occurs, the minimum gas flow rate required when the liquid phase can be completely carried out of the wellhead by the gas phase). To achieve the optimization goal of maximizing gas production, an optimized gas distribution based on a particle swarm optimization algorithm is proposed. This method achieves the overall optimal allocation of resources through dynamic optimization. Through actual engineering case analysis, the feasibility of this method is verified, which is of great significance for improving the gas lift efficiency and economic benefits of the platform.