Modeling and optimizing method of high-sulfur natural gas purification process oriented to energy saving and consumption reduction

A technology of purification process and optimization method, applied in neural learning method, gas fuel, petroleum industry, etc., can solve the problems of decreasing product gas flow rate and high acid component concentration, so as to overcome process interference, improve productivity and gas processing economy effect of benefit

Active Publication Date: 2017-05-31
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
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Problems solved by technology

In addition, the concentration of acidic components in high-sulfur natural gas is high, and the volume of purified product gas is significantly lower than that of feed gas.

Method used

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  • Modeling and optimizing method of high-sulfur natural gas purification process oriented to energy saving and consumption reduction
  • Modeling and optimizing method of high-sulfur natural gas purification process oriented to energy saving and consumption reduction
  • Modeling and optimizing method of high-sulfur natural gas purification process oriented to energy saving and consumption reduction

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Embodiment Construction

[0025] Glossary

[0026] ST-UKFNN: Strong track Unscented Kalman Fliter Neural Network, strong track unscented Kalman filter neural network.

[0027] The method for modeling and optimizing the purification process of high-sulfur natural gas for energy saving and consumption reduction provided by the present invention includes:

[0028] Step S1: Select the process parameters that affect the desulfurization efficiency and the performance indicators of the desulfurization unit; among them, the process parameters include the flow rate of lean amine liquid entering the tail gas absorption tower, the flow rate of lean amine liquid entering the secondary absorption tower, the processing capacity of raw material gas, and the exhaust gas unit The flow rate of the semi-rich amine liquid returning to the desulfurization unit, the temperature of the amine liquid entering the primary absorption tower, the temperature of the amine liquid entering the secondary absorption tower, the pressure...

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Abstract

The invention provides a modeling and optimizing method of a high-sulfur natural gas purification process oriented to energy saving and consumption reduction. The method comprises the steps that process parameters influencing the desulfurization efficiency and performance indexes of a desulfurization unit are selected and then are acquired to form sample sets; normalization is conducted on the sample sets to form normalized sample sets, and a training sample and a testing sample set are selected from the normalized sample sets; a neural network model is established based on the training sample, and initial state variables of the neural network model are determined; the optimal state variable of the neural network model is estimated by utilizing an ST-UPFNN algorithm; according to the optimal state variable, the neural network model is updated; preference functions of H2S concentration and CO2 concentration are established respectively; process parameters of H2S concentration and CO2 concentration are optimized by utilizing an MOGA algorithm, and the optimized process parameters are introduced into the updated neural network model, the system performance of the optimized process parameters is calculated, and average values of the system performance of actual samples are compared. The production efficiency of high-sulfur natural gas purification can be improved by utilizing the method.

Description

technical field [0001] The invention relates to the technical field of purification of high-sulfur natural gas, and more specifically, relates to a modeling and optimization method for purification of high-sulfur natural gas for energy saving and consumption reduction. Background technique [0002] The content of acidic components in high-sulfur natural gas is several times higher than that of conventional natural gas, and the desulfurization process has a large amount of amine liquid circulation, complex process and high energy consumption. Statistics show that the energy consumption of desulfurization units accounts for more than 50% of the total energy consumption of high-sulfur natural gas purification plants, and its unit comprehensive energy consumption is as high as 1729.3MJ·t-1, which is a high energy consumption unit. For large-scale purification plants, energy consumption can be reduced by 5% to 10% through optimization of desulfurization units. In addition, the c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/08C10L3/10
CPCC10L3/103G06N3/086G16C20/10
Inventor 唐海红辜小花熊兴中张堃王坎杨利平邱奎
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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