A modeling and predicting method for instantaneous temperature characteristics of a multiphase pump cavity

Abstract

The invention discloses a modeling and predicting method for instantaneous temperature characteristics of a multiphase pump cavity, which comprises the following steps of 1) establishing a CFD numerical model of the instantaneous temperature characteristics of the multiphase pump cavity under a frequency-variable oil-gas multiphase working condition, and providing initial data for Gaussian processregression GPR experience modeling; 2) classifying M sets of samples provided by the CFD numerical model, namely dividing each set of CFD simulation data into L sample subsets; Independently carryingout learning training on each sample subset, and establishing GPR prediction sub-models of the L pump cavity instantaneous temperature characteristics; 3) carrying out online assessment on the GPR prediction model; taking the GPR model as an input sample set, taking the GPR model as each sample xt and i of the input sample set, and independently selecting one most appropriate GPR model for onlineprediction; 4) integrating single sample prediction probability information provided by the GPR; carrying out THE online evaluation on the CFD numerical model; and selecting a most appropriate GPR and CFD numerical model by taking the GPR and CFD numerical model as a whole input sample set to realize online and offline prediction.

Description

technical field [0001] The present invention relates to the technical field of modeling and forecasting methods for important parameters in the design stage of mixed transport pumps, in particular to a general modeling and forecasting method for the instantaneous temperature characteristics of the pump cavity of mixed transport pumps under complex frequency-variable oil-gas mixed transport conditions . Background technique [0002] The oil-gas mixed transportation pump has both the functions of a pump and a compressor, and is one of the key equipments to realize the closed mixed transportation of oil and gas, which can effectively increase the recovery and utilization of associated natural gas resources in the process of oil exploitation. Under the condition of mixed oil and gas transportation, the heat generated by the compression of the gas, the backflow phenomenon, and the heat generated by mechanical friction will accumulate in the pump chamber, causing the temperature o...

AI Technical Summary

Problems solved by technology

However, limited by the existing multiphase flow test technology, it is impossible to determine the basic variation rules of performance parameters such as temperature, pressure, and flow from the mechanism, which increases the difficulty of experimental design; in addition, it is usually not enough for the mixed pump to complete a working cycle 1 second, and the temperature, pressure, flow and other performance parameters under complex mixed transmission conditions present complex and rapid nonlinear dynamic time-varying characteristics, which increases the difficulty of obtaining various parameters

However, after literature search, it was found that the GPR model used to predict the instantaneous temperature of the pump chamber of the mixed infusion pump did not

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