西安石油大学学报（自然科学版）2024，Vol.39Issue(3)：103-111,119,10.DOI:10.3969/j.issn.1673-064X.2024.03.012
基于灰色支持向量回归的起伏管线临界携液流速预测模型
A Prediction Model for Critical Liquid Carrying Velocity of Gas in Undulating Pipelines Based on Grey Support Vector Regression
摘要
Abstract
The undulating geographical morphology of Yan'an gas field makes it easy for gas production pipelines to accumulate liquid at low points and uphill sections,which affects the normal production of the gas field.Based on the extended dual fluid phase separation model and PR gas property equation,a sample dataset of critical liquid-carrying velocity was established using the minimum pressure gradient method combined with uniform design.The weights of sample factors were calculated using grey correlation,and a regression prediction model for critical liquid-carrying velocity was established by introducing them into the support vector regression algorithm.The hyperparameters in the model were optimized using grid optimization algorithm and K-CV(cross validation).The accuracy of the model was verified through on-site operational data from Yan'an gas field.The results indicate that the diameter size of gas pipelines has the greatest impact on the critical liquid-carrying velocity,followed by the uphill inclination angle,water content,and operating pres-sure,while other factors have a relatively small impact.Compared with genetic algorithm and particle swarm optimization algorithm,seg-mented grid optimization algorithm has stronger stability in optimizing the hyperparameters of the model.This prediction model has high accuracy in predicting the critical liquid-carrying velocity of the Yan'an gas field production pipelines,and can provide theoretical sup-port for preventing liquid accumulation in gas transmission pipelines.关键词
气液混输管线/临界携液流速/支持向量回归模型/起伏输气管线/均匀设计/全局优化算法Key words
gas and liquid mixing transmission pipeline/critical fluid-carrying velocity/support vector regression model/undulating gas pipeline/uniform design/global optimization algorithm分类
能源科技引用本文复制引用
何鹏,韩建红,丁鲁振,艾昕宇,梁裕如,由洋,卢雄..基于灰色支持向量回归的起伏管线临界携液流速预测模型[J].西安石油大学学报（自然科学版）,2024,39(3):103-111,119,10.基金项目
陕西延长石油(集团)有限责任公司项目"延气2-延128井区增压稳产技术研究"(ycsy2019ky-A-22) （集团）
"涡流管效应在气田井口节流应用的探索研究"(ycsy2020qnjj-B-14) （ycsy2020qnjj-B-14）
"延安气田上古气藏湿气输送关键技术研究"(ycsy2021ky-B-10) （ycsy2021ky-B-10）
