A Hybrid Model for Separating Effect of Production Separator Based on Digital Twin
Production separator is a key processing equipment on the offshore oil and gas production plat-forms,and its processing effect directly affects the oilfield production capacity.Due to the complex internal flow characteristics and chemicals active mechanisms of the separator,the existing mechanism models are difficult to ac-curately evaluate the actual processing effect of the production separator.Based on the digital twin concept of mech-anism and data fusion,a construction method of hybrid model for the actual separating effect of production separa-tor suitable for different water cut conditions of crude oil was proposed.For low water cut crude oil,a convolutional neural network model construction method based on test data was proposed,and the effectiveness of the model in characterizing the relationship between multiple factors and separating effect was verified by comparing the calcula-tion results of multiple data driven models.For high water cut crude oil with poor emulsification performance in the laboratory,a separating effect evaluation model was built by integrating gravity separation mechanism and surrogate model;the evaluation model took into account the influence of viscosity temperature characteristics related to drop-let size distribution,demulsifier mass fraction and volume fraction of water on separating effect,and characterized the influence of uncertainty of model and process parameters on separating effect through Monte Carlo simulation.The established hybrid model was applied to actual offshore production separator,and its effectiveness was verified through comparison with field assaying data and multiple working conditions analysis.The results show that the con-structed hybrid model can achieve online twinning on the actual processing effect of all stages of separators on off-shore oil and gas production platforms.It effectively solves the problem of lack of generalization in predicting the separating effect of high water cut crude oil by data driven models,and overcomes the shortcomings of traditional computational fluid dynamics simulation such as low efficiency and inability to correct model deviations.It can also be used to analyze the actual separating effect of production separator under various working conditions,providing guidance for estimating the actual processing capacity and optimizing the production parameters of offshore produc-tion platforms.
production separatoractual separating effecthybrid modelgravity settling modeldata driv-en modeloffshore oil and gas production
万方数据
维普
