CN-121998414-A - Underground gas storage gas leakage monitoring and splitting risk assessment method, device and equipment

CN121998414ACN 121998414 ACN121998414 ACN 121998414ACN-121998414-A

Abstract

The application provides a method, a device and equipment for monitoring air leakage and evaluating cleavage risk of an underground gas storage, wherein the method comprises the steps of obtaining monitoring data of the underground gas storage; the method comprises the steps of determining the air leakage amount and the environment characteristic matrix of the underground air storage according to monitoring data, carrying out air leakage monitoring on the underground air storage according to the variation characteristic trend of the air leakage amount and the monitoring data, determining the air leakage type of the underground air storage, positioning the air leakage point of the underground air storage according to the environment characteristic matrix and the monitoring data, evaluating the splitting risk of the underground air storage according to the monitoring data of the air leakage point, and generating an evaluation report according to the evaluation result of the air leakage type and the splitting risk. And through judging the leakage type of the air leakage and evaluating the splitting risk of the underground air storage according to the monitoring data of the leakage point, distinguishing the penetration from the breakage, and realizing precise positioning of the breakage and subsequent splitting risk evaluation.

Inventors

ZHANG YANJUN
YAO XIANGLONG
ZHANG LINGFAN
LIN HAI
TANG BOJIN
Ouyang jinhui
ZHU YOUPING
ZHENG ZHIMEI
ZHANG HAN
LI XIANGQIAN

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260108

Claims (15)

1. The method for monitoring the gas leakage and evaluating the cleavage risk of the underground gas storage is characterized by comprising the following steps: acquiring monitoring data of an underground gas storage; Determining the air leakage amount and the environmental characteristic matrix of the underground gas storage according to the monitoring data; Performing gas leakage monitoring on the underground gas storage according to the gas leakage and the change characteristic trend of the monitoring data, and determining the gas leakage type of the underground gas storage; positioning the air leakage point of the underground air storage according to the environment characteristic matrix and the monitoring data; Evaluating the splitting risk of the underground gas storage according to the monitoring data of the gas leakage points; And generating an evaluation report according to the leakage type and the evaluation result of the splitting risk.
2. The method of claim 1, wherein the monitoring data includes at least gas data, flow data, pressure data, and material data for the underground gas reservoir, and wherein the air leakage includes a first air leakage and a second air leakage; the determining the air leakage amount and the environmental characteristic matrix of the underground air storage according to the monitoring data comprises the following steps: Calculating a first air leakage in a preset time range according to the gas data, the flow data and the pressure data, wherein the first air leakage represents the actual air leakage of the underground gas storage; Calculating a second air leakage according to the pressure data and the material data by using Darcy's law, wherein the second air leakage represents theoretical air leakage calculated based on the material of the underground gas storage; and extracting the sound wave characteristic value, the temperature characteristic value and the pressure characteristic value of the monitoring data to construct an environment characteristic matrix.
3. The method of claim 2, wherein said calculating a first air leakage over a predetermined time range from said gas data, said flow data, and said pressure data comprises: Calculating accumulated leakage air quality within a preset time range based on the air data, the flow data and the pressure data by using an ideal air state equation and a flow difference method; calculating a first air leakage according to the accumulated air leakage quality; the calculation formula of the first leakage quality is as follows: Wherein P is% ) For the moment of time Average gas storage pressure in underground gas storage, T # ) For the moment of time The average temperature in the underground gas storage, V is the volume of the underground gas storage, R air is the specific gas constant of air, and m leak (t) is the accumulated leakage mass at the moment t; is the starting time and m% ) Is that Initial gas mass in the underground gas storage at any moment; The mass flow rate of the air enters the air storage through the air inlet pipe; the mass flow rate of the gas leaves the underground gas storage through the gas outlet pipe; p (T) is the average gas storage pressure in the underground gas storage at the moment T, and T (T) is the average temperature in the underground gas storage at the moment T; The calculation formula of the first leakage volume is as follows: wherein Q leak % ) For the moment of time The first leakage volume of the underground gas storage, namely the accumulated actual leakage volume of the moment t, and m leak (t) is the first leakage mass up to the moment t, namely the accumulated actual leakage mass; air ( ) And calculating the air density at the moment T according to the average air storage pressure P (T) in the underground air storage at the moment T and the average temperature T (T) in the underground air storage at the moment T.
4. The method of claim 2, wherein said calculating a second air leakage from said pressure data and said material data using darcy's law comprises: determining the permeability of the underground gas reservoir according to the material data; calculating the second air leakage according to the permeability and the material data by using Darcy's law; the calculation formula of the second air leakage is as follows: wherein k is permeability and is determined according to a material test, L is the thickness of a sealing layer, A is the permeation area, namely the inner surface area of the underground gas storage; is the pressure difference between the pressure in the underground gas storage and the external pressure; Is the aerodynamic viscosity.
5. The method of claim 1, wherein the trend of variation characteristics comprises acoustic wave characteristics, temperature trend, pressure trend and strain trend; the method for monitoring the gas leakage of the underground gas storage according to the gas leakage and the change characteristic trend of the monitoring data, and determining the type of the gas leakage of the underground gas storage comprises the following steps: calculating a permeability ratio according to the first air leakage and the second air leakage; And judging the leakage type of the underground gas storage according to the penetration ratio, the sound wave characteristics, the temperature change trend, the pressure change trend and the strain trend.
6. The method of claim 5, wherein said determining the type of blow-by gas leakage from the underground gas reservoir based on the permeability value, the acoustic signature, the temperature trend, the pressure trend, and the strain trend comprises: and if the permeability value is greater than or equal to a permeability threshold, the sound wave characteristic has local fluctuation of the preset frequency band energy, the temperature change trend and the pressure change trend, and the strain trend is greater than or equal to the strain trend threshold, the leakage type of the underground gas storage is damage leakage, otherwise, the leakage type of the underground gas storage is judged to be permeability leakage.
7. The method of claim 1, wherein locating the leak point of the underground gas reservoir based on the environmental profile matrix and the monitoring data comprises: calculating the confidence coefficient of the monitoring point according to the environment characteristic matrix and the monitoring data; judging the monitoring point as a leakage point under the condition that the confidence coefficient is smaller than or equal to a confidence coefficient threshold value; And positioning the air leakage point according to the monitoring data, the sensor numbers corresponding to the monitoring data and the similarity among the sensors.
8. The method of claim 7, wherein said calculating confidence levels for the monitoring points from the environmental feature matrix and the monitoring data comprises: Calculating the variance of each monitoring point according to the environmental characteristic matrix and the characteristic value of the monitoring data; determining the confidence coefficient of each monitoring point according to the variance; The confidence coefficient is calculated as follows: Wherein: Confidence of the monitoring point i; the environmental characteristic matrix is the monitoring point i; the sound wave characteristic value of the monitoring point i; the temperature characteristic value of the monitoring point i; the pressure characteristic value of the monitoring point i and the variance vector Var ) Is the variance of the jth feature component in the environmental feature matrix within the monitoring window.
9. The method of claim 7, wherein locating the leak point based on the monitoring data, a sensor number corresponding to the monitoring data, and a similarity between the sensors comprises: calculating the similarity of data among the sensors according to the monitoring data acquired by different sensors; Positioning the air leakage point according to the time delay corresponding to the similarity meeting the preset condition; the calculation formula of the similarity is as follows: Wherein: (tau) is a normalized cross-correlation function of the sensor i and the sensor j, reflecting the similarity of the pressure waveforms of the sensor i and the sensor j under the time delay tau; (t) is the pressure value of sensor i at time t; (t) is the pressure value of sensor j at time t; The average pressure value of the sensor i in the time t 0 ,t 0 +tau; The average pressure values of the sensors j in the time t 0 ,t 0 and tau are respectively; To monitor window time.
10. The method of claim 1, wherein the evaluating the risk of cleavage of the underground gas reservoir based on the monitored data of the leak point comprises: Calculating the air pressure distribution of the air leakage points according to the monitoring data of the air leakage points; determining the minimum main stress of surrounding rock and the tensile strength of the surrounding rock of the underground gas storage according to the geological survey report of the underground gas storage; Judging whether the splitting risk exists at the air leakage point or not according to the air pressure distribution, the minimum main stress of the surrounding rock and the tensile strength of the surrounding rock.
11. The method of claim 9, wherein said calculating a gas pressure distribution of said leak points from said leak point monitoring data comprises: determining the air pressure distribution of the air leakage point according to the preset crack length of the air leakage point and the tail end pressure of the air leakage point in the monitoring data; The formula of the air pressure distribution is as follows: Wherein: The pressure of the breakage mouth of the air leakage point; the gas pressure distribution at the preset crack inner edge coordinate x of the gas leakage point, wherein x is the length along the preset crack Spatial coordinates of the direction; The tail end pressure of the fracture is preset in the monitoring data.
12. The method of claim 10, wherein said determining whether the blow-by point is at risk of splitting based on the gas pressure distribution, the surrounding rock minimum principal stress, and the surrounding rock tensile strength comprises: Iterating the air pressure distribution through a mass conservation condition to determine the pressure of the damaged port of the air leakage point; determining whether the pressure of the damaged port is larger than the sum of the minimum main stress of the surrounding rock and the tensile strength of the surrounding rock according to a judging formula; Under the condition that the pressure of the damaged port is larger than the sum of the minimum main stress of the surrounding rock and the tensile strength of the surrounding rock, the gas leakage point has a splitting risk; The judgment formula of the cleavage risk is as follows: Wherein: The pressure of the breakage mouth of the air leakage point; the minimum main stress of the surrounding rock is set; is the tensile strength of surrounding rock.
13. An underground gas storage gas leakage monitoring and splitting risk assessment device, which is characterized by comprising: The data acquisition module is used for acquiring monitoring data of the underground gas storage, wherein the monitoring data comprises internal monitoring data and external monitoring data; The data processing module is used for determining the air leakage quantity and the environment characteristic matrix of the underground air storage according to the monitoring data; The leakage type judging module is used for carrying out leakage monitoring on the underground gas storage according to the leakage amount and the change characteristic trend of the monitoring data and determining the leakage type of the underground gas storage; the air leakage point positioning module is used for positioning air leakage points of the underground air storage according to the environment characteristic matrix and the monitoring data; And the splitting risk assessment module is used for assessing the splitting risk of the underground gas storage according to the monitoring data of the gas leakage point.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to implement the method of any one of claims 1-12.
15. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method according to any of claims 1-12.

Description

Underground gas storage gas leakage monitoring and splitting risk assessment method, device and equipment Technical Field The application relates to the technical field of underground gas storage, in particular to a method, a device and equipment for monitoring gas leakage and evaluating cleavage risk of an underground gas storage. Background The underground gas storage is used as a modern energy infrastructure, and flexible media such as polymer composite materials are adopted to construct a sealing layer, so that the underground gas storage effectively adapts to geological deformation, realizes the safe storage of energy media such as large-scale natural gas, hydrogen and the like, and plays a key role in the aspects of energy peak shaving, strategic reserve and pipe network balance. The sealing layer is easy to generate microscopic damage due to the fact that the sealing layer bears alternating load, temperature change and groundwater erosion for a long time. If the real-time leakage monitoring is not performed, the trace leakage is gradually enlarged, so that not only is the energy waste caused, but also the explosion risk and the environmental pollution are more likely to be caused, and meanwhile, the geological stress accumulation easily causes progressive splitting of the flexible material, so that the safety of the whole structure is endangered. However, the conventional scheme mainly adopts single parameter analysis, such as judging the leakage position according to the internal pressure change or flow measurement, only focuses on gas leakage detection or leakage amount evaluation, lacks to distinguish permeation from breakage, and cannot realize accurate positioning of breakage and subsequent splitting risk evaluation. Disclosure of Invention The embodiment of the application aims to provide a method, a device and electronic equipment for monitoring air leakage and evaluating splitting risk of an underground air storage, which can solve the problems that the prior art pays attention to air leakage detection or leakage amount evaluation, is lack of distinguishing permeation from breakage, cannot realize precise positioning of breakage and subsequent splitting risk evaluation. In a first aspect, an embodiment of the present application provides a method for monitoring air leakage and evaluating risk of cleavage in an underground gas storage, where the method includes: acquiring monitoring data of an underground gas storage; Determining the air leakage amount and the environmental characteristic matrix of the underground gas storage according to the monitoring data; Performing gas leakage monitoring on the underground gas storage according to the gas leakage and the change characteristic trend of the monitoring data, and determining the gas leakage type of the underground gas storage; positioning the air leakage point of the underground air storage according to the environment characteristic matrix and the monitoring data; Evaluating the splitting risk of the underground gas storage according to the monitoring data of the gas leakage points; And generating an evaluation report according to the leakage type and the evaluation result of the splitting risk. Optionally, the monitoring data at least comprise gas data, flow data, pressure data and material data of the underground gas storage, wherein the air leakage comprises a first air leakage and a second air leakage; the determining the air leakage amount and the environmental characteristic matrix of the underground air storage according to the monitoring data comprises the following steps: Calculating a first air leakage in a preset time range according to the gas data, the flow data and the pressure data, wherein the first air leakage represents the actual air leakage of the underground gas storage; Calculating a second air leakage according to the pressure data and the material data by using Darcy's law, wherein the second air leakage represents theoretical air leakage calculated based on the material of the underground gas storage; and extracting the sound wave characteristic value, the temperature characteristic value and the pressure characteristic value of the monitoring data to construct an environment characteristic matrix. Optionally, the calculating the first air leakage in the preset time range according to the gas data, the flow data and the pressure data includes: Calculating accumulated leakage air quality within a preset time range based on the air data, the flow data and the pressure data by using an ideal air state equation and a flow difference method; calculating a first air leakage according to the accumulated air leakage quality; the calculation formula of the first leakage quality is as follows: Wherein P is% ) For the moment of timeAverage gas storage pressure in underground gas storage, T #) For the moment of timeThe average temperature in the underground gas storage, V is the volume of the underground gas storage, R air is th