CN-121997393-A - Prediction method and device for carbon dioxide leakage gas cloud diffusion range

CN121997393ACN 121997393 ACN121997393 ACN 121997393ACN-121997393-A

Abstract

The embodiment of the invention relates to a method and a device for predicting a carbon dioxide leakage gas cloud diffusion range, wherein the method comprises the steps of establishing a carbon dioxide station leakage diffusion multiphase flow model, simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions to determine carbon dioxide diffusion leakage range characteristic data, performing data fitting on the carbon dioxide diffusion leakage range characteristic data to obtain a carbon dioxide station leakage diffusion empirical formula, and predicting the carbon dioxide leakage gas cloud diffusion range of a target carbon dioxide station with carbon dioxide leakage based on the carbon dioxide station leakage diffusion empirical formula. Therefore, the diffusion range of the carbon dioxide leakage gas cloud can be rapidly predicted, and a certain basis is provided for making targeted emergency rescue measures for reducing accident injuries.

Inventors

QI JINGJING
YANG DONGPING
WANG WEIBIN
GUO MIN
LIU YANG
FAN LU
PENG XINGLAI
HU FANGFANG
SONG HAOXIN

Assignees

中国石油化工股份有限公司
中国石油化工股份有限公司胜利油田分公司

Dates

Publication Date: 20260508
Application Date: 20241108

Claims (10)

1. A method for predicting a carbon dioxide blow-by gas cloud diffusion range, comprising: Establishing a carbon dioxide station leakage diffusion multiphase flow model; Simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions to determine characteristic data of a carbon dioxide diffusion leakage range; performing data fitting on the characteristic data of the carbon dioxide diffusion leakage range to obtain a carbon dioxide station leakage diffusion empirical formula; and predicting the carbon dioxide leakage gas cloud diffusion range of the target carbon dioxide station where the carbon dioxide leakage occurs currently based on the carbon dioxide station leakage diffusion empirical formula.
2. The method of claim 1, wherein the modeling of the carbon dioxide yard leakage diffusion multiphase flow comprises: establishing a carbon dioxide station yard geometric model according to geometric parameters, equipment spacing and surrounding environments of equipment in a target carbon dioxide station yard; and establishing a carbon dioxide station leakage diffusion multiphase flow model based on the carbon dioxide station geometrical model and the carbon dioxide leakage position.
3. The method of claim 2, wherein said modeling the carbon dioxide yard leak diffusion multiphase flow model under different conditions to determine carbon dioxide diffusion leak range characteristic data comprises: and taking a preset carbon dioxide safety concentration threshold value as a research object, simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions, and determining carbon dioxide diffusion leakage range characteristic data, wherein the different conditions at least comprise leakage quantity, wind speed, leakage direction and environmental temperature.
4. The method of claim 3, wherein the fitting the carbon dioxide diffusion leakage range characteristic data to obtain a carbon dioxide yard leakage diffusion empirical formula comprises: determining that a carbon dioxide leak gas cloud diffusion range exhibits different correlations with the carbon dioxide diffusion leak range characteristic data based on the carbon dioxide diffusion leak range characteristic data; determining target carbon dioxide leakage amount interval data based on a correlation exhibited by a carbon dioxide leakage gas cloud diffusion range and the carbon dioxide diffusion leakage range characteristic data; Based on the target carbon dioxide leakage interval data, taking the furthest diffusion distance of the carbon dioxide gas cloud as a dependent variable and the characteristic data of the carbon dioxide diffusion leakage range as independent variables, and performing data fitting by using a Cftool tool in Matlab to obtain a carbon dioxide station leakage diffusion empirical formula corresponding to the target carbon dioxide leakage interval data.
5. The method of claim 4, wherein predicting a carbon dioxide leak gas cloud diffusion range of a target carbon dioxide yard where carbon dioxide leaks currently occur based on the carbon dioxide yard leak diffusion empirical formula comprises: Acquiring the carbon dioxide leakage quantity of the target carbon dioxide station; Determining a target carbon dioxide yard leakage diffusion empirical formula based on the carbon dioxide leakage amount; Determining a current wind speed based on the current meteorological conditions; and carrying the carbon dioxide leakage quantity and the current wind speed into the leakage diffusion empirical formula of the target carbon dioxide station to obtain the diffusion range of the carbon dioxide leakage gas cloud.
6. The method of claim 5, wherein the method further comprises: Comparing the carbon dioxide leakage gas cloud diffusion range with a numerical simulation calculation result to obtain an error rate; And judging the effectiveness of the carbon dioxide station leakage diffusion empirical formula based on the error rate.
7. The method according to claim 1, wherein the method further comprises: and (5) formulating an accident rescue scheme based on the predicted carbon dioxide leakage gas cloud diffusion range.
8. A prediction apparatus for a carbon dioxide leak gas cloud diffusion range, comprising: the building module is used for building a carbon dioxide station leakage diffusion multiphase flow model; The determining module is used for simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions and determining characteristic data of a carbon dioxide diffusion leakage range; the fitting module is used for carrying out data fitting on the characteristic data of the carbon dioxide diffusion leakage range to obtain a carbon dioxide station leakage diffusion empirical formula; And the prediction module is used for predicting the carbon dioxide leakage gas cloud diffusion range of the target carbon dioxide station where the carbon dioxide leakage occurs currently based on the carbon dioxide station leakage diffusion empirical formula.
9. A computer device, comprising a processor and a memory, wherein the processor is configured to execute a prediction program of a carbon dioxide leak gas cloud diffusion range stored in the memory, so as to implement the method for predicting a carbon dioxide leak gas cloud diffusion range according to any one of claims 1 to 7.
10. A storage medium storing one or more programs executable by one or more processors to implement the method of predicting carbon dioxide leak gas cloud diffusion range of any one of claims 1 to 7.

Description

Prediction method and device for carbon dioxide leakage gas cloud diffusion range Technical Field The embodiment of the invention relates to the field of carbon dioxide hazard level and influence range calculation thereof, in particular to a method and a device for predicting a carbon dioxide leakage gas cloud diffusion range. Background In recent years, the CCUS technology has been widely used. The CO2 station is an important ring in the whole flow of the CCUS, is a complex process system and is more prone to release accidents compared with long-distance pipelines. If the CO2 release cannot be controlled in time, equipment damage, casualties and economic loss can be caused. Therefore, the hazard level and the influence range thereof in the CO2 release process are researched and analyzed, and the method has important guiding and reference significance for CO2 release accident prevention and risk prevention and control. The CO2 storage tank is the equipment with the largest CO2 content in the station yard, and is the equipment with the largest CO2 content released in the station yard when an accident occurs. The existing numerical calculation model shows higher accuracy in predicting the leakage result of the CO2 storage tank, however, in the actual production environment, on-site staff often lacks the skill of operating professional software, and the model calculation needs a longer time, so the numerical calculation model is not suitable for emergency evacuation decision of a leakage accident site. Therefore, how to quickly determine the range of CO2 gas cloud diffusion is a challenge. Disclosure of Invention In view of the above, in order to solve the above technical problems or some technical problems, embodiments of the present invention provide a method and apparatus for predicting a diffusion range of a carbon dioxide gas leakage cloud. In a first aspect, an embodiment of the present invention provides a method for predicting a diffusion range of a carbon dioxide leak gas cloud, including: Establishing a carbon dioxide station leakage diffusion multiphase flow model; Simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions to determine characteristic data of a carbon dioxide diffusion leakage range; performing data fitting on the characteristic data of the carbon dioxide diffusion leakage range to obtain a carbon dioxide station leakage diffusion empirical formula; and predicting the carbon dioxide leakage gas cloud diffusion range of the target carbon dioxide station where the carbon dioxide leakage occurs currently based on the carbon dioxide station leakage diffusion empirical formula. In one possible embodiment, the method further comprises: establishing a carbon dioxide station yard geometric model according to geometric parameters, equipment spacing and surrounding environments of equipment in a target carbon dioxide station yard; and establishing a carbon dioxide station leakage diffusion multiphase flow model based on the carbon dioxide station geometrical model and the carbon dioxide leakage position. In one possible embodiment, the method further comprises: and taking a preset carbon dioxide safety concentration threshold value as a research object, simulating the carbon dioxide station leakage diffusion multiphase flow model under different conditions, and determining carbon dioxide diffusion leakage range characteristic data, wherein the different conditions at least comprise leakage quantity, wind speed, leakage direction and environmental temperature. In one possible embodiment, the method further comprises: determining that a carbon dioxide leak gas cloud diffusion range exhibits different correlations with the carbon dioxide diffusion leak range characteristic data based on the carbon dioxide diffusion leak range characteristic data; determining target carbon dioxide leakage amount interval data based on a correlation exhibited by a carbon dioxide leakage gas cloud diffusion range and the carbon dioxide diffusion leakage range characteristic data; Based on the target carbon dioxide leakage interval data, taking the furthest diffusion distance of the carbon dioxide gas cloud as a dependent variable and the characteristic data of the carbon dioxide diffusion leakage range as independent variables, and performing data fitting by using a Cftool tool in Matlab to obtain a carbon dioxide station leakage diffusion empirical formula corresponding to the target carbon dioxide leakage interval data. In one possible embodiment, the method further comprises: Acquiring the carbon dioxide leakage quantity of the target carbon dioxide station; Determining a target carbon dioxide yard leakage diffusion empirical formula based on the carbon dioxide leakage amount; Determining a current wind speed based on the current meteorological conditions; and carrying the carbon dioxide leakage quantity and the current wind speed into the leakage diffusion empirical