Process parameter-driven natural gas water dew point online prediction method

Abstract

The invention relates to the field of natural gas gathering and transportation, and discloses a process parameter-driven natural gas water dew point online prediction method aiming at the defects that a conventional natural gas water dew point detector is liable to damage and high in detection cost and a traditional data driving method cannot effectively reflect the influence relationship between the natural gas water dew point of an actual dehydration system and each monitoring parameter. According to process monitoring data of a triethylene glycol dehydration device in a production operation state, a multi-dimensional sample sequence original training data set is manufactured; by selecting key parameters for predicting the natural gas water dew point, irrelevant redundant features are eliminated, and a natural gas water dew point prediction training data set is established; an NP model is trained through the training data set to learn a multivariate regression function relationship of each process monitoring parameter of the triethylene glycol dehydration device; and real-time process monitoring data of the dehydration device is taken as target set data of the NP prediction model to realize online prediction of the water dew point of the natural gas. Compared with the prior art, the method has the beneficial effect of high accuracy.

Description

technical field [0001] The invention relates to the field of natural gas gathering and transportation, in particular to an online prediction method for natural gas water dew point driven by process parameters. Background technique [0002] Natural gas water dew point is an important technical index of natural gas quality. The accumulation of free water will lead to reduced pipeline capacity and increased corrosion, and the formation of hydrates due to high water dew points will cause pipelines and valves to block. Therefore, removing free water from natural gas is one of the important tasks in actual production. In actual production, a natural gas water dew point meter is usually used to monitor the natural gas water dew point. Due to the limitations of clogging and sensor damage of the detector in actual monitoring, the conventional method of using a natural gas dew point meter to monitor the dew point of natural gas cannot accurately and effectively monitor the dehydrati...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the disadvantages that the conventional natural gas water dew point detector is easy to be damaged, the detection cost is high, and the traditional data-driven method cannot effectively reflect the influence relationship between the natural gas water dew point and each monitoring parameter in the actual dehydration system, the invention discloses a natural gas water dew point driven by process parameters. On-line dew point prediction method, by evaluating and selecting the key parameters of natural gas water dew point, combined with NP model with flexible implementation of nonlinear prediction, realizes an online prediction of natural gas water dew point of dehydration device process parameters

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