Integrated optimization design of multiphase pump based on adaptive sparse grid method

Abstract

Multiphase pump play a critical role in natural gas hydrate extraction. However, their stable and efficient operation in complex multiphase flow conditions remains a significant challenge. This study focuses on a “gas-liquid-solid” multiphase mixing pump and uses numerical simulations to analyze its single-stage pressure boosting unit under different conditions. The results revealed a significant decrease in pressure increment and efficiency under high gas content and solid phase content conditions. To address this, the study built an integrated optimization design platform based on an adaptive sparse grid surrogate model. This platform optimized critical hydraulic parameters of the pump through an adaptive sparse grid method and MOGA algorithm. The results show that under water conditions, pressure increment and efficiency can be increased by 12.805 KPa and 1.79%, respectively. Under working conditions of 30% GVF and 25% SVF, the pressure increment can reach 7.889 KPa, and the efficiency can be increased by 2.75%. Verification experiments demonstrated the reliability of the numerical methods utilized. Overall, the integrated optimization design platform saves computational resources, improves optimization efficiency and provides a foundation for ongoing research on the multi-gas co-production of natural gas hydrates.