Concentration and injection station component analysis method and system based on reverse fitting

Abstract

The embodiment of the invention provides a concentration and injection station component analysis method and system based on reverse fitting, and belongs to the technical field of oil and gas treatment. The method comprises the following steps: under a stable working condition, collecting source input component parameters of a gathering and injecting station and output component information of each separation device of a target gathering and injecting station in parallel; performing flow condition simulation based on the source input component parameters and the output component information of each separation device; correcting the simulated process working condition based on the environmental parameters to obtain a corrected working condition; adaptively adjusting the variable of the corrected working condition, and performing expected working condition simulation based on the adjusted variable; and performing consistency verification on the expected working condition and the actual working condition after variable correction, and outputting component information of the target gathering and injection station after verification is passed. According to the scheme of the invention, the problem of poor component determination accuracy in the existing scheme is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas processing, and in particular to a component analysis method of an injection station based on reverse fitting and a component analysis system of an injection station based on reverse fitting. Background Art

[0002] In the natural gas processing process of oil reservoir gas storage, the inlet logistics of the gathering and injection station is the starting point of the process flow, which is mainly produced natural gas and carries a large amount of water and hydrocarbons, as well as a small amount of mud and sand impurities. After entering the station, it first enters the pre-separator for gas-liquid separation, and the separated gas phase enters the pre-cooler for cooling. After cooling, it enters the production separator for gas-liquid separation again. The separated gas phase is injected with ethylene glycol antifreeze in the coil heat exchanger, enters the JT valve for pressure reduction after heat exchange, and then enters the low-temperature separator for gas-liquid separation. The separated gas phase returns to the coil heat exchanger for heat exchange and is exported as qualified natural gas. The liquid phase separated by the low-temperature separator enters the ethylene glycol rich liquid and condensate separator for three-phase separation of gas, condensate and ethylene glycol rich liquid. The ethylene glycol rich liquid enters the ethylene glycol regeneration system, and the regenerated ethylene glycol lean liquid is injected back into the gas phase outlet pipeline of the production separator. After the gas and condensate are mixed, they enter the low-pressure separator for gas and liquid separation after pressure regulation and heat exchange with the liquid phase separated by the pre-separator and production separator. The separated gas phase is used as low-pressure fuel gas, and the separated liquid phase enters the low-pressure liquid storage tank. Qualified natural gas transmission, low-pressure fuel gas and low-pressure liquid are the end points of the process flow. Temperature and pressure detection are set in each production link of the process flow of the gathering station. At the end of the process flow, qualified natural gas transmission, low-pressure fuel gas and low-pressure liquid are set with flow metering.

[0003] In order to ensure that the exported natural gas meets the requirements of pipeline natural gas during the production process, it is necessary to use process simulation software to simulate the process, and through data verification, analyze the separation efficiency and reliability of each level of separators (including pre-separators, production separators, low-temperature separators, ethylene glycol rich liquid and condensate separators) and processing facilities. In the production process, due to the lack of all necessary parameters such as flow rates and components, the calculation model cannot be perfected, which causes great trouble for separation efficiency and reliability analysis, mainly reflected in the following aspects:

[0004] 1) When simulating the process, the forward input method is generally used as the starting point. Basic parameters such as components, pressure, temperature, and flow rate need to be input to establish a calculation model. The inlet logistics of the reservoir-type gas storage station is under high pressure during the production process and is a mixture of gas, water, hydrocarbons, and impurities. The current measurement method cannot obtain its accurate flow parameters;

[0005] 2) The component parameters of the mixture cannot be directly obtained. After gas and liquid separation, sampling and analysis are required in a single phase mode. However, when gas and liquid sampling is carried out under high pressure, the component parameters will cause large component errors during analysis due to the volatility and solubility of the components.

[0006] 3) Due to the large number of process parameters in the process, it is impossible to install flow meters on the gas and liquid phase pipelines of each stage of the separator. Without flow parameters, it is also impossible to analyze the separation efficiency and reliability of the separator and treatment facilities.

[0007] In order to solve the problem of poor accuracy in component determination in existing schemes, it is necessary to create a new component analysis scheme for the collection and injection station. Summary of the invention

[0008] The purpose of the embodiments of the present invention is to provide a method and system for analyzing components of a collection and injection station based on reverse fitting, so as to at least solve the problem of poor accuracy of component determination in existing solutions.

[0009] In order to achieve the above-mentioned purpose, the first aspect of the present invention provides a component analysis method for a collection and injection station based on reverse fitting, the method comprising: under stable conditions, parallelly collecting the source input component parameters of the collection and injection station and the output component information of each separation equipment of the target collection and injection station; simulating the process conditions based on the source input component parameters and the output component information of each separation equipment; correcting the simulated process conditions based on environmental parameters to obtain corrected conditions; adaptively adjusting the variables of the corrected conditions, and simulating the expected conditions based on the adjusted variables; performing consistency verification on the expected conditions and the actual conditions after the correction variables, and outputting the component information of the target collection and injection station after the verification passes.

[0010] Optionally, the rule for determining the stable operating condition is: synchronously monitor the source input component information of the target collection and injection station and the output component information of the final separation equipment; if within a predetermined period, the deviation value between the source input component information at each sampling moment is less than a preset first deviation threshold, and the deviation value between the output component information of the final separation equipment at each sampling moment is less than a second deviation threshold, then it is determined to be a stable operating condition.

[0011] Optionally, if it is determined that the target injection station is not in a stable operating condition within a predetermined period, the next predetermined period is re-designated, and a stable operating condition judgment is performed based on the designated next predetermined period until it is determined to be a stable operating condition.

[0012] Optionally, the separation equipment of the target injection station includes: a pre-separator, a production separator, a low-temperature separator, a low-pressure separator and an ethylene glycol rich liquid and condensate separator.

[0013] Optionally, the pre-separator, the production separator, the low-temperature separator, the low-pressure separator and the ethylene glycol rich liquid and condensate separator constitute a hierarchical separation structure of the target injection station.

[0014] Optionally, the output component information of each separation equipment in the target injection station includes: the first gas phase component parameter at the output end of the pre-separator; the second gas phase component parameter at the output end of the production separator; the third gas phase component parameter and the first liquid phase component parameter at the output end of the low-temperature separator; the fourth gas phase component parameter and the second liquid phase component parameter at the output end of the ethylene glycol rich liquid and condensate separator; the fifth gas phase component parameter and the third liquid phase component parameter at the output end of the low-pressure separator.

[0015] Optionally, the process condition simulation based on the source input component parameters and the output component information of each separation device includes: determining the correlation based on the source input component parameters and the output component information of each separation device; generating a correlation feature vector based on the determined correlation; generating a basic data set based on all correlation feature vectors; and simulating the process condition based on the basic data set and a reverse fitting method.

[0016] Optionally, the associated characteristic vector includes: an associated characteristic vector between the first gas phase component parameter and the fifth gas phase component parameter, and an associated characteristic vector between the fifth gas phase component parameter and the third liquid phase component parameter.

[0017] Optionally, the process condition simulation is performed based on the basic data set and the reverse fitting method, including: taking the source input component parameters as the fitting target, taking the output component information of the final separation equipment as the fitting input parameter, and taking the output component information of other separation equipment as the intermediate limiting parameter to simulate the process condition.

[0018] Optionally, the environmental parameters include: source input temperature information, input end temperature information of each separation device, source input pressure information and input end pressure information of each separation device.

[0019] Optionally, the environmental parameters are obtained based on actual sampling of preset sensors arranged at the target injection station.

[0020] Optionally, the simulated process conditions are corrected based on the environmental parameters to obtain corrected conditions, including: reading the environmental parameters of each sampling node based on the simulated process conditions; performing a consistency check between the read environmental parameters and the collected environmental parameters, and when the check fails, correcting the simulated process conditions based on the collected environmental parameters until the consistency check between the read environmental parameters and the collected environmental parameters passes.

[0021] Optionally, the adaptive adjustment of the variables of the modified operating condition and the simulation of the expected operating condition based on the adjusted variables include: dynamically and randomly adjusting the source input parameters of the target collecting station in the modified operating condition within a predetermined range; sequentially collecting the output end component parameters of each separation equipment within a preset complete time period; and re-fitting the process operating condition based on the output end component parameters of each separation equipment as the expected operating condition.

[0022] Optionally, the consistency check based on the expected operating conditions and the actual operating conditions after correcting the variables includes: at the end of each preset complete time period, collecting component parameter information of each sampling node of the target collection and injection station; constructing the actual operating conditions based on the component parameter information of each sampling node of the target collection and injection station; based on the actual operating conditions and the expected operating conditions, traversing each sampling node, comparing the component parameter information one by one, voting based on a voting algorithm, and using the voting result as the consistency check result.

[0023] Optionally, the method traverses each sampling node, compares the component parameter information one by one, and votes based on a voting algorithm, including: if the absolute value of the difference between the component parameter information in the actual working condition of a sampling node and the component parameter information in the expected working condition is less than a preset difference threshold, the sampling node is judged to have passed the verification, and a show of hands vote is performed; traverses all sampling nodes, and counts the final number of show of hands votes; when the final number of show of hands votes is greater than the preset voting threshold, the show of hands vote is judged to have passed.

[0024] Optionally, outputting component information of the target collection and injection station after passing the verification includes: taking the expected operating conditions that have passed the verification as a predicted operating condition model; performing real-time monitoring of the target collection and injection station based on the predicted operating condition model, and outputting the component information in real time.

[0025] The second aspect of the present invention provides a component analysis system for a collection and injection station based on reverse fitting, the system comprising: a collection unit, used to collect the source input component parameters of the collection and injection station and the output component information of each separation equipment of the target collection and injection station in parallel under stable conditions; a simulation unit, used to simulate the process conditions based on the source input component parameters and the output component information of each separation equipment; a correction unit, used to correct the simulated process conditions based on environmental parameters to obtain corrected conditions; an adjustment unit, used to adaptively adjust the variables of the corrected conditions, and simulate the expected conditions based on the adjusted variables; an output unit, used to perform consistency verification on the expected conditions and the actual conditions after the correction variables, and output the component information of the target collection and injection station after the verification is passed.

[0026] Optionally, the sampling unit is also used to determine a stable operating condition based on the following rules: synchronously monitor the source input component information of the target collection and injection station and the output component information of the final separation equipment; if within a predetermined period, the deviation value between the source input component information at each sampling moment is less than a preset first deviation threshold, and the deviation value between the output component information of the final separation equipment at each sampling moment is less than a second deviation threshold, then it is determined to be a stable operating condition.

[0027] Optionally, the simulation unit is specifically used to: determine the correlation based on the source input component parameters and the output component information of each separation device; generate a correlation feature vector based on the determined correlation; generate a basic data set based on all correlation feature vectors; and simulate the process conditions based on the basic data set and the reverse fitting method.

[0028] On the other hand, the present invention provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, enables the computer to execute the above-mentioned method for analyzing the composition of the collection and annotation stations based on reverse fitting.

[0029] Through the above technical solution, the present invention provides a multi-point sampling combined with reverse fitting component ratio adjustment calculation method, which makes up for the lack of data collection in the process flow when performing separation efficiency and reliability analysis during the production process. The innovative results can realize the full process simulation in the production process, support the separation efficiency and reliability analysis of separators and processing facilities at all levels, ensure the safe and stable gas supply of gas storage in winter, lead the upgrading of ground engineering technology, and help the safe and stable operation of gas storage projects.

[0030] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a flowchart of the steps of a method for analyzing components of an annotated station based on reverse fitting provided by one embodiment of the present invention;

[0033] Figure 2 It is a system structure diagram of a component analysis system for an injection station based on reverse fitting provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0034] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0035] In the natural gas processing process of oil reservoir gas storage, the inlet logistics of the gathering and injection station is the starting point of the process flow, which is mainly produced natural gas and carries a large amount of water and hydrocarbons, as well as a small amount of mud and sand impurities. After entering the station, it first enters the pre-separator for gas-liquid separation, and the separated gas phase enters the pre-cooler for cooling. After cooling, it enters the production separator for gas-liquid separation again. The separated gas phase is injected with ethylene glycol antifreeze in the coil heat exchanger, enters the JT valve for pressure reduction after heat exchange, and then enters the low-temperature separator for gas-liquid separation. The separated gas phase returns to the coil heat exchanger for heat exchange and is exported as qualified natural gas. The liquid phase separated by the low-temperature separator enters the ethylene glycol rich liquid and condensate separator for three-phase separation of gas, condensate and ethylene glycol rich liquid. The ethylene glycol rich liquid enters the ethylene glycol regeneration system, and the regenerated ethylene glycol lean liquid is injected back into the gas phase outlet pipeline of the production separator. After the gas and condensate are mixed, they enter the low-pressure separator for gas and liquid separation after pressure regulation and heat exchange with the liquid phase separated by the pre-separator and production separator. The separated gas phase is used as low-pressure fuel gas, and the separated liquid phase enters the low-pressure liquid storage tank. Qualified natural gas transmission, low-pressure fuel gas and low-pressure liquid are the end points of the process flow. Temperature and pressure detection are set in each production link of the process flow of the gathering station. At the end of the process flow, qualified natural gas transmission, low-pressure fuel gas and low-pressure liquid are set with flow metering.

[0036] In order to ensure that the exported natural gas meets the requirements of pipeline natural gas during the production process, it is necessary to use process simulation software to simulate the process, and through data verification, analyze the separation efficiency and reliability of each level of separators (including pre-separators, production separators, low-temperature separators, ethylene glycol rich liquid and condensate separators) and processing facilities. In the production process, due to the lack of all necessary parameters such as flow rates and components, the calculation model cannot be perfected, which causes great trouble for separation efficiency and reliability analysis, mainly reflected in the following aspects:

[0037] 1) When simulating the process, the forward input method is generally used as the starting point. Basic parameters such as components, pressure, temperature, and flow rate need to be input to establish a calculation model. The inlet logistics of the reservoir-type gas storage station is under high pressure during the production process and is a mixture of gas, water, hydrocarbons, and impurities. The current measurement method cannot obtain its accurate flow parameters;

[0038] 2) The component parameters of the mixture cannot be directly obtained. After gas and liquid separation, sampling and analysis are required in a single phase mode. However, when gas and liquid sampling is carried out under high pressure, the component parameters will cause large component errors during analysis due to the volatility and solubility of the components.

[0039] 3) Due to the large number of process parameters in the process, it is impossible to install flow meters on the gas and liquid phase pipelines of each stage of the separator. Without flow parameters, it is also impossible to analyze the separation efficiency and reliability of the separator and treatment facilities.

[0040] In view of the problem of poor accuracy in component determination in existing schemes, the scheme of the present invention proposes a component analysis method for a gathering and injection station based on reverse fitting. The scheme of the present invention derives the original components and flow parameters of the natural gas, water, and hydrocarbon substances in the inlet logistics of the gathering and injection station through multi-point sampling combined with a reverse fitting component ratio adjustment method, establishes a process model that is closer to the production process, fits all the production data, makes up for the deficiency that data has not yet been collected in the process flow, and plays a supporting role in carrying out separation efficiency and reliability analysis of separators and processing facilities at all levels, ensuring safe and stable gas supply in the gas storage in winter, reducing safety risks in the production process, and facilitating the safe and stable operation of the gas storage project.

[0041] Figure 1 1 is a flow chart of a method for analyzing the composition of an injection station based on reverse fitting provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for analyzing components of an annotated station based on reverse fitting, the method comprising:

[0042] Step S10: Under stable working conditions, the source input component parameters of the collection and injection station and the output component information of each separation device of the target collection and injection station are collected in parallel.

[0043] Specifically, the gathering and injection station can not only collect, regulate pressure, separate, measure, and purify the natural gas produced by the underground gas storage, but also compress the gas from the external pipeline and inject it back into the underground gas storage station. In order to obtain qualified natural gas transmission, low-pressure fuel gas, and low-pressure liquid, it is necessary to simulate the corresponding separation conditions to accurately control the entire separation process. As mentioned above, the existing schemes often generally use the forward input method as the starting point, and basic parameters such as components, pressure, temperature, and flow need to be input to establish a calculation model. The inlet logistics of the reservoir-type gas storage gathering and injection station are in a high-pressure state during the production process, and are a mixture of gas, water, hydrocarbons, and impurities. Relying on the current metering method, it is impossible to obtain its accurate flow parameters.

[0044] To address this problem, the component analysis method for the collecting and injection station proposed in the solution of the present invention is based on a reverse fitting approach, that is, what is collected is not just the input parameters of the collecting and injection station, but a reverse fitting simulation is performed based on the result parameters to ensure that more parameters are limited during the simulation process to avoid a large deviation between the simulated working conditions and the actual conditions.

[0045] Preferably, the rule for determining the stable operating condition is: synchronously monitor the source input component information of the target collection and injection station and the output component information of the final separation equipment; within a predetermined period, the deviation value between the source input component information at each sampling moment is less than a preset first deviation threshold, and the deviation value between the output component information of the final separation equipment at each sampling moment is less than a second deviation threshold, then it is determined to be a stable operating condition.

[0046] In the embodiment of the present invention, under the unstable operation condition of the injection station, there are too many accidental situations, which easily lead to sudden abnormalities. The process information simulated based on this condition cannot reflect the rules of normal conditions. Therefore, it is necessary to ensure that the injection station maintains a stable operation condition before the corresponding information collection is carried out to ensure that the collected parameters are parameters that meet the normal state.

[0047] Preferably, the source input component parameters include: incoming fluid component information and pressure information.

[0048] Preferably, the separation equipment of the target injection station includes: a pre-separator, a production separator, a low-temperature separator, a low-pressure separator, and an ethylene glycol rich liquid and condensate separator.

[0049] Preferably, the pre-separator, the production separator, the low-temperature separator, the low-pressure separator and the ethylene glycol rich liquid and condensate separator constitute a hierarchical separation structure of the target injection station.

[0050] In the embodiment of the present invention, after entering the station, the gas first enters the pre-separator for gas-liquid separation, the separated gas phase enters the pre-cooler for cooling, and after cooling, enters the production separator for gas-liquid separation again. The separated gas phase is injected with ethylene glycol antifreeze in the coil heat exchanger, enters the JT valve for pressure reduction after heat exchange, and then enters the low-temperature separator for gas-liquid separation. The separated gas phase returns to the coil heat exchanger for heat exchange and is transported as qualified natural gas. The liquid phase separated by the low-temperature separator enters the ethylene glycol rich liquid and condensate separator for gas, condensate, and ethylene glycol rich liquid three-phase separation, wherein the ethylene glycol rich liquid enters the ethylene glycol regeneration system, and the regenerated ethylene glycol lean liquid is injected back into the gas phase outlet pipeline of the production separator. After the gas and condensate are mixed, they enter the low-pressure separator for gas-liquid separation after pressure regulation and heat exchange with the liquid phase separated by the pre-separator and the production separator. The separated gas phase is used as low-pressure fuel gas, and the separated liquid phase enters the low-pressure liquid storage tank. The export of qualified natural gas, low-pressure fuel gas and low-pressure liquid are the end points of the process.

[0051] Preferably, the output component information of each separation equipment in the target injection station includes: the first gas phase component parameter of the pre-separator output end; the second gas phase component parameter of the production separator output end; the third gas phase component parameter and the first liquid phase component parameter of the low-temperature separator output end; the fourth gas phase component parameter and the second liquid phase component parameter of the ethylene glycol rich liquid and condensate separator output end; the fifth gas phase component parameter and the third liquid phase component parameter of the low-pressure separator output end.

[0052] In one possible implementation, gas sampling and testing is performed on the gas phase outlet pipelines of the pre-separator, production separator, low-temperature separator, and ethylene glycol rich liquid and condensate separator to obtain component parameters, and qualified natural gas export, low-pressure fuel gas, and low-pressure liquid at the end of the process are sampled and tested to obtain component parameters, and flow measurement is performed.

[0053] Step S20: Performing process condition simulation based on the source input component parameters and the output component information of each separation device.

[0054] Specifically, correlation is determined based on the source input component parameters and the output component information of each separation device; correlation feature vectors are generated based on the determined correlation; a basic data set is generated based on all correlation feature vectors; and process condition simulation is performed based on the basic data set and the reverse fitting method.

[0055] Preferably, the correlation generating correlation feature vector includes: a first gas phase component parameter and a fifth gas phase component parameter correlation feature vector, and a fifth gas phase component parameter and a third liquid phase component parameter correlation feature vector.

[0056] In a possible implementation, in the process model, the basic data are the gas phase outlet component parameters of the pre-separator + low-pressure gas associated characteristic vector, the low-pressure liquid component parameters + low-pressure gas associated characteristic vector, the low-pressure liquid flow parameter associated characteristic vector, and the qualified gas output flow parameter associated characteristic vector.

[0057] Furthermore, the process condition simulation is performed based on the basic data set and the reverse fitting method, including: taking the source input component parameters as the fitting target, taking the output component information of the final separation equipment as the fitting input parameter, and taking the output component information of other separation equipment as the intermediate limiting parameter to simulate the process condition.

[0058] In an embodiment of the present invention, the scheme of the present invention performs process condition simulation based on a reverse fitting algorithm, and there are two limiting conditions of output and input at the same time, so as to ensure that the simulated process condition conforms to the actual output and input conditions, and avoid the problem that the fitting results of the existing forward fitting method deviate too much from the actual situation.

[0059] Step S30: Correcting the simulated process conditions based on the environmental parameters to obtain corrected conditions.

[0060] Specifically, the environmental parameters include: source input temperature information, input end temperature information of each separation device, source input pressure information, and input end pressure information of each separation device.

[0061] Furthermore, the environmental parameters are obtained based on actual sampling of preset sensors arranged at the target injection station.

[0062] Preferably, the simulated process conditions are corrected based on the environmental parameters to obtain the corrected conditions, including: reading the environmental parameters of each sampling node based on the simulated process conditions; performing a consistency check between the read environmental parameters and the collected environmental parameters, and when the check fails, correcting the simulated process conditions based on the collected environmental parameters until the obtained read environmental parameters pass the consistency check with the collected environmental parameters.

[0063] In the embodiment of the present invention, the actual inlet temperature and pressure parameters of production are used as the inlet logistics of the injection station to simulate the process flow. The temperature and pressure parameters in the process are corrected by the actual collected data on site to ensure that the simulated working conditions are consistent with the actual situation. Because different environmental conditions may have different working conditions, the interference caused by environmental parameters needs to be considered.

[0064] Step S40: adaptively adjusting the variables of the modified operating condition, and simulating the expected operating condition based on the adjusted variables.

[0065] Specifically, within a predetermined range, the source input parameters of the target injection station are dynamically and randomly adjusted in the modified operating conditions; within a preset complete time period, the output component parameters of each separation device are collected in sequence; and the process operating conditions are re-fitted based on the output component parameters of each separation device as the expected operating conditions.

[0066] In one possible implementation, the gas phase components of the pre-separator, production separator, low-temperature separator, ethylene glycol rich liquid and condensate separator, as well as the components and flow parameters of qualified natural gas export, low-pressure fuel gas, and low-pressure liquid at the end of the process are simulated and compared with the actual production sampling component parameters and on-site flow metering parameters, the components and flow rates of the inlet logistics of the gathering and injection station are manually adjusted, and ultimately the deviation between the components and flow parameters obtained by simulation calculation and the actual values ​​is less than 2% for qualified.

[0067] Step S50: Perform consistency check based on the expected operating conditions and the actual operating conditions after the variables are corrected, and output the component information of the target injection station after the check passes.

[0068] Specifically, the consistency check based on the expected working condition and the actual working condition after the correction variable includes: at the end of each preset complete time period, collecting the component parameter information of each sampling node of the target collecting station; constructing the actual working condition based on the component parameter information of each sampling node of the target collecting station; based on the actual working condition and the expected working condition, traversing each sampling node, comparing the component parameter information one by one, voting based on the voting algorithm, and using the voting result as the consistency check result.

[0069] Preferably, the method traverses each sampling node, compares the component parameter information one by one, and votes based on a voting algorithm, including: if the absolute value of the difference between the component parameter information in the actual working condition of a sampling node and the component parameter information in the expected working condition is less than a preset difference threshold, the sampling node is determined to have passed the verification, and a show of hands vote is performed; traverses all sampling nodes, and counts the final number of show of hands votes; when the final number of show of hands votes is greater than the preset voting threshold, the show of hands vote is determined to have passed.

[0070] Furthermore, the outputting of component information of the target collection and injection station after verification includes: taking the expected operating condition that has passed the verification as a predicted operating condition model; performing real-time monitoring of the target collection and injection station based on the predicted operating condition model, and outputting the component information in real time.

[0071] In an embodiment of the present invention, the scheme of the present invention provides a method for calculating the component ratio adjustment by combining multi-point sampling with reverse fitting. When performing separation efficiency and reliability analysis during the production process, it makes up for the deficiency that data has not yet been collected in the process flow. The innovative results can realize the full-process process simulation in the production process, support the separation efficiency and reliability analysis of separators and processing facilities at all levels, ensure the safe and stable gas supply of the gas storage in winter, lead the upgrading of ground engineering technology, and help the safe and stable operation of the gas storage project.

[0072] Example

[0073] Gas sampling and testing are carried out on the gas phase outlet pipelines of the pre-separator, production separator, low-temperature separator, and ethylene glycol rich liquid and condensate separator to obtain component parameters. Samples and tests are carried out on qualified natural gas export, low-pressure fuel gas, and low-pressure liquid at the end of the process to obtain component parameters, and flow measurement is performed. In the process model, the gas phase outlet component parameters of the pre-separator + low-pressure gas, low-pressure liquid component parameters + low-pressure gas, low-pressure liquid flow parameters, and qualified gas transmission flow parameters are used as basic data. The actual inlet temperature and pressure parameters of production are used as the inlet logistics of the gathering station to simulate the process flow. The temperature and pressure parameters in the process are simulated using the actual data collected on site to obtain the gas phase components of the pre-separator, production separator, low-temperature separator, ethylene glycol rich liquid and condensate separator, as well as the components and flow parameters of qualified natural gas transmission, low-pressure gas, and low-pressure liquid at the end of the process. By comparing with the actual sampling and testing component parameters of production and the on-site flow measurement parameters, the components and flow of the inlet logistics of the gathering station are manually adjusted, and finally the deviation between the component and flow parameters obtained by simulation and the actual values ​​is less than 2% to be qualified.

[0074] The component analysis method of the injection station based on reverse fitting proposed in the winter supply optimization and upgrading project of a double 6 gas storage reservoir was applied. Through repeated iterative calculations, a calculation model that fits the actual production on site was established, and the analysis data was improved, providing data support for subsequent process analysis and transformation plans. Economic benefits after implementation: 1. Compared with the previous gas production cycle, the cost of replacing filter elements was saved by 210,000 yuan (1,541 pieces), and the cost of ethylene glycol was saved by 1.49 million yuan (saving 256.84 tons); 2. The manual operation rate caused by manual drainage and freezing of coiled heat exchangers was reduced by about 70%.

[0075] Figure 2 FIG. 1 is a system structure diagram of a component analysis system for an injection station based on reverse fitting provided by an embodiment of the present invention. Figure 2 As shown, an embodiment of the present invention provides a component analysis system for an annotation station based on reverse fitting, the system comprising:

[0076] The collection unit is used to collect the source input component parameters of the collection and injection station and the output component information of each separation equipment of the target collection and injection station in parallel under stable working conditions.

[0077] Specifically, the gathering and injection station can not only collect, regulate pressure, separate, measure, and purify the natural gas produced by the underground gas storage, but also compress the gas from the external pipeline and inject it back into the underground gas storage station. In order to obtain qualified natural gas transmission, low-pressure fuel gas, and low-pressure liquid, it is necessary to simulate the corresponding separation conditions to accurately control the entire separation process. As mentioned above, the existing schemes often generally use the forward input method as the starting point, and basic parameters such as components, pressure, temperature, and flow need to be input to establish a calculation model. The inlet logistics of the reservoir-type gas storage gathering and injection station are in a high-pressure state during the production process, and are a mixture of gas, water, hydrocarbons, and impurities. Relying on the current metering method, it is impossible to obtain its accurate flow parameters.

[0078] To address this problem, the component analysis method for the collecting and injection station proposed in the solution of the present invention is based on a reverse fitting approach, that is, what is collected is not just the input parameters of the collecting and injection station, but a reverse fitting simulation is performed based on the result parameters to ensure that more parameters are limited during the simulation process to avoid a large deviation between the simulated working conditions and the actual conditions.

[0079] Preferably, the rule for determining the stable operating condition is: synchronously monitor the source input component information of the target collection and injection station and the output component information of the final separation equipment; within a predetermined period, the deviation value between the source input component information at each sampling moment is less than a preset first deviation threshold, and the deviation value between the output component information of the final separation equipment at each sampling moment is less than a second deviation threshold, then it is determined to be a stable operating condition.

[0080] In the embodiment of the present invention, under the unstable operation condition of the injection station, there are too many accidental situations, which easily lead to sudden abnormalities. The process information simulated based on this condition cannot reflect the rules of normal conditions. Therefore, it is necessary to ensure that the injection station maintains a stable operation condition before the corresponding information collection is carried out to ensure that the collected parameters are parameters that meet the normal state.

[0081] Preferably, the source input component parameters include: incoming fluid component information and pressure information.

[0082] Preferably, the separation equipment of the target injection station includes: a pre-separator, a production separator, a low-temperature separator, a low-pressure separator, and an ethylene glycol rich liquid and condensate separator.

[0083] Preferably, the pre-separator, the production separator, the low-temperature separator, the low-pressure separator and the ethylene glycol rich liquid and condensate separator constitute a hierarchical separation structure of the target injection station.

[0084] In the embodiment of the present invention, after entering the station, the gas first enters the pre-separator for gas-liquid separation, the separated gas phase enters the pre-cooler for cooling, and after cooling, enters the production separator for gas-liquid separation again. The separated gas phase is injected with ethylene glycol antifreeze in the coil heat exchanger, enters the JT valve for pressure reduction after heat exchange, and then enters the low-temperature separator for gas-liquid separation. The separated gas phase returns to the coil heat exchanger for heat exchange and is transported as qualified natural gas. The liquid phase separated by the low-temperature separator enters the ethylene glycol rich liquid and condensate separator for gas, condensate, and ethylene glycol rich liquid three-phase separation, wherein the ethylene glycol rich liquid enters the ethylene glycol regeneration system, and the regenerated ethylene glycol lean liquid is injected back into the gas phase outlet pipeline of the production separator. After the gas and condensate are mixed, they enter the low-pressure separator for gas-liquid separation after pressure regulation and heat exchange with the liquid phase separated by the pre-separator and the production separator. The separated gas phase is used as low-pressure fuel gas, and the separated liquid phase enters the low-pressure liquid storage tank. The export of qualified natural gas, low-pressure fuel gas and low-pressure liquid are the end points of the process.

[0085] Preferably, the output component information of each separation equipment in the target injection station includes: the first gas phase component parameter of the pre-separator output end; the second gas phase component parameter of the production separator output end; the third gas phase component parameter and the first liquid phase component parameter of the low-temperature separator output end; the fourth gas phase component parameter and the second liquid phase component parameter of the ethylene glycol rich liquid and condensate separator output end; the fifth gas phase component parameter and the third liquid phase component parameter of the low-pressure separator output end.

[0086] In one possible implementation, gas sampling and testing is performed on the gas phase outlet pipelines of the pre-separator, production separator, low-temperature separator, and ethylene glycol rich liquid and condensate separator to obtain component parameters, and qualified natural gas export, low-pressure fuel gas, and low-pressure liquid at the end of the process are sampled and tested to obtain component parameters, and flow measurement is performed.

[0087] A simulation unit is used to simulate the process conditions based on the source input component parameters and the output component information of each separation device.

[0088] Specifically, correlation is determined based on the source input component parameters and the output component information of each separation device; correlation feature vectors are generated based on the determined correlation; a basic data set is generated based on all correlation feature vectors; and process condition simulation is performed based on the basic data set and the reverse fitting method.

[0089] Preferably, the correlation generating correlation feature vector includes: a first gas phase component parameter and a fifth gas phase component parameter correlation feature vector, and a fifth gas phase component parameter and a third liquid phase component parameter correlation feature vector.

[0090] In a possible implementation, in the process model, the basic data are the gas phase outlet component parameters of the pre-separator + low-pressure gas associated characteristic vector, the low-pressure liquid component parameters + low-pressure gas associated characteristic vector, the low-pressure liquid flow parameter associated characteristic vector, and the qualified gas output flow parameter associated characteristic vector.

[0091] Furthermore, the process condition simulation is performed based on the basic data set and the reverse fitting method, including: taking the source input component parameters as the fitting target, taking the output component information of the final separation equipment as the fitting input parameter, and taking the output component information of other separation equipment as the intermediate limiting parameter to simulate the process condition.

[0092] In an embodiment of the present invention, the scheme of the present invention performs process condition simulation based on a reverse fitting algorithm, and there are two limiting conditions of output and input at the same time, so as to ensure that the simulated process condition conforms to the actual output and input conditions, and avoid the problem that the fitting results of the existing forward fitting method deviate too much from the actual situation.

[0093] The correction unit is used to correct the simulated process conditions based on environmental parameters to obtain corrected conditions.

[0094] Specifically, the environmental parameters include: source input temperature information, input end temperature information of each separation device, source input pressure information, and input end pressure information of each separation device.

[0095] Furthermore, the environmental parameters are obtained based on actual sampling of preset sensors arranged at the target injection station.

[0096] Preferably, the simulated process conditions are corrected based on the environmental parameters to obtain the corrected conditions, including: reading the environmental parameters of each sampling node based on the simulated process conditions; performing a consistency check between the read environmental parameters and the collected environmental parameters, and when the check fails, correcting the simulated process conditions based on the collected environmental parameters until the obtained read environmental parameters pass the consistency check with the collected environmental parameters.

[0097] In the embodiment of the present invention, the actual inlet temperature and pressure parameters of production are used as the inlet logistics of the injection station to simulate the process flow. The temperature and pressure parameters in the process are corrected by the actual collected data on site to ensure that the simulated working conditions are consistent with the actual situation. Because different environmental conditions may have different working conditions, the interference caused by environmental parameters needs to be considered.

[0098] The adjustment unit is used to adaptively adjust the variables of the modified operating condition and simulate the expected operating condition based on the adjusted variables.

[0099] Specifically, within a predetermined range, the source input parameters of the target injection station are dynamically and randomly adjusted in the modified operating conditions; within a preset complete time period, the output component parameters of each separation device are collected in sequence; and the process operating conditions are re-fitted based on the output component parameters of each separation device as the expected operating conditions.

[0100] In one possible implementation, the gas phase components of the pre-separator, production separator, low-temperature separator, ethylene glycol rich liquid and condensate separator, as well as the components and flow parameters of qualified natural gas export, low-pressure fuel gas, and low-pressure liquid at the end of the process are simulated and compared with the actual production sampling component parameters and on-site flow metering parameters, the components and flow rates of the inlet logistics of the gathering and injection station are manually adjusted, and ultimately the deviation between the components and flow parameters obtained by simulation calculation and the actual values ​​is less than 2% for qualified.

[0101] The output unit is used to perform consistency verification based on the expected operating conditions and the actual operating conditions after the variables are corrected, and output the component information of the target injection station after the verification is passed.

[0102] Specifically, the consistency check based on the expected working condition and the actual working condition after the correction variable includes: at the end of each preset complete time period, collecting the component parameter information of each sampling node of the target collecting station; constructing the actual working condition based on the component parameter information of each sampling node of the target collecting station; based on the actual working condition and the expected working condition, traversing each sampling node, comparing the component parameter information one by one, voting based on the voting algorithm, and using the voting result as the consistency check result.

[0103] Preferably, the method traverses each sampling node, compares the component parameter information one by one, and votes based on a voting algorithm, including: if the absolute value of the difference between the component parameter information in the actual working condition of a sampling node and the component parameter information in the expected working condition is less than a preset difference threshold, the sampling node is determined to have passed the verification, and a show of hands vote is performed; traverses all sampling nodes, and counts the final number of show of hands votes; when the final number of show of hands votes is greater than the preset voting threshold, the show of hands vote is determined to have passed.

[0104] Furthermore, the outputting of component information of the target collection and injection station after verification includes: taking the expected operating condition that has passed the verification as a predicted operating condition model; performing real-time monitoring of the target collection and injection station based on the predicted operating condition model, and outputting the component information in real time.

[0105] In an embodiment of the present invention, the scheme of the present invention provides a method for calculating the component ratio adjustment by combining multi-point sampling with reverse fitting. When performing separation efficiency and reliability analysis during the production process, it makes up for the deficiency that data has not yet been collected in the process flow. The innovative results can realize the full-process process simulation in the production process, support the separation efficiency and reliability analysis of separators and processing facilities at all levels, ensure the safe and stable gas supply of the gas storage in winter, lead the upgrading of ground engineering technology, and help the safe and stable operation of the gas storage project.

[0106] An embodiment of the present invention further provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned method for analyzing the composition of the collection and annotation stations based on reverse fitting.

[0107] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0108] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0109] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for analyzing the components of an injection station based on reverse fitting, characterized in that: The method comprises: Under stable working conditions, the source input component parameters of the injection station and the output component information of each separation device of the target injection station are collected in parallel; Performing process condition simulation based on the source input component parameters and the output component information of each separation device; Modifying the simulated process conditions based on environmental parameters to obtain modified conditions; Adaptively adjusting the variables of the modified operating condition, and simulating the expected operating condition based on the adjusted variables; The expected operating conditions and the actual operating conditions after the variables are corrected are checked for consistency, and the component information of the target injection station is output after the check passes.

2. The method according to claim 1, characterized in that The determination rule of the stable working condition is: Simultaneously monitor the source input component information of the target injection station and the output component information of the final separation equipment; If within a predetermined period, the deviation value between the source input component information at each sampling moment is less than the preset first deviation threshold, and the deviation value between the output component information of the final separation device at each sampling moment is less than the second deviation threshold, it is determined to be a stable operating condition.

3. The method according to claim 2, characterized in that If it is determined that the target injection station is not in a stable operating condition within a predetermined period, the next predetermined period is re-designated, and a stable operating condition judgment is performed based on the designated next predetermined period until it is determined to be a stable operating condition.

4. The method according to claim 1, characterized in that The separation equipment of the target injection station includes: Pre-separator, production separator, low temperature separator, low pressure separator and ethylene glycol rich liquid and condensate separator.

5. The method according to claim 4, characterized in that The pre-separator, the production separator, the low-temperature separator, the low-pressure separator and the ethylene glycol rich liquid and condensate separator constitute a hierarchical separation structure of the target injection station.

6. The method according to claim 4, characterized in that The output component information of each separation device of the target injection station includes: A first gas phase component parameter at the output end of the pre-separator; The second gas phase component parameter at the output end of the production separator; The third gas phase component parameter and the first liquid phase component parameter at the output end of the low temperature separator; A fourth gas phase component parameter and a second liquid phase component parameter at the output end of the ethylene glycol rich liquid and condensate separator; The fifth gas phase component parameter and the third liquid phase component parameter at the output end of the low-pressure separator.

7. The method according to claim 1, characterized in that The process condition simulation based on the source input component parameters and the output component information of each separation device includes: Determine the correlation based on the source input component parameters and the output component information of each separation device; generating a correlation feature vector based on the determined correlation; Generate a basic data set based on all associated feature vectors; Based on the basic data set and the reverse fitting method, the process operation simulation is performed.

8. The method according to claim 6 or 7, characterized in that: The associated feature vectors include: The first gas phase component parameter is associated with the fifth gas phase component parameter, and the fifth gas phase component parameter is associated with the third liquid phase component parameter.

9. The method according to claim 7, characterized in that: The process condition simulation is performed based on the basic data set and the reverse fitting method, including: The process condition simulation is performed with the source input component parameters as the fitting target, the output component information of the final separation equipment as the fitting input parameter, and the output component information of other separation equipment as the intermediate limiting parameter.

10. The method according to claim 1, characterized in that The environmental parameters include: Source input temperature information, input end temperature information of each separation device, source input pressure information and input end pressure information of each separation device.

11. The method according to claim 10, characterized in that The environmental parameters are obtained based on actual sampling of various preset sensors arranged at the target injection station.

12. The method according to claim 1, characterized in that The step of correcting the simulated process conditions based on the environmental parameters to obtain the corrected conditions includes: Read the environmental parameters of each sampling node based on the simulated process conditions; The read environmental parameters are checked for consistency with the collected environmental parameters. If the check fails, the simulated process conditions are corrected based on the collected environmental parameters until the read environmental parameters are checked for consistency with the collected environmental parameters.

13. The method according to claim 1, characterized in that The adaptively adjusting the variables of the modified operating condition and simulating the expected operating condition based on the adjusted variables includes: Dynamically and randomly adjusting the source input parameters of the target injection station in the modified working condition within a predetermined range; In a preset complete time period, sequentially collect the output component parameters of each separation device; The process conditions are refitted based on the output component parameters of each separation device as the expected conditions.

14. The method according to claim 13, characterized in that The consistency check based on the expected working condition and the actual working condition after the variable correction is performed includes: At the end of each preset complete time period, component parameter information of each sampling node of the target collection station is collected; The actual working conditions are constructed based on the component parameter information of each sampling node of the target injection station; Based on the actual working condition and the expected working condition, each sampling node is traversed, component parameter information is compared one by one, voting is performed based on a voting algorithm, and the voting result is used as a consistency check result.

15. The method according to claim 14, characterized in that The traversal of each sampling node, comparison of component parameter information one by one, and voting based on a voting algorithm include: If the absolute value of the difference between the component parameter information in the actual working condition of a sampling node and the component parameter information in the expected working condition is less than the preset difference threshold, the sampling node is judged to have passed the verification, and a show of hands vote is conducted; Traverse all sampling nodes and count the final number of votes raised; When the final number of votes cast by show of hands is greater than the preset voting threshold, the show of hands vote is considered to have passed.

16. The method according to claim 1, characterized in that: The step of outputting the component information of the target collection and injection station after the verification is passed includes: The expected operating condition that has passed the verification is used as the predicted operating condition model; Based on the predicted operating condition model, the target injection station is monitored in real time, and component information is output in real time.

17. A component analysis system for an injection station based on reverse fitting, characterized in that: The system comprises: A collection unit, used to collect the source input component parameters of the collection and injection station and the output component information of each separation device of the target collection and injection station in parallel under stable working conditions; A simulation unit, used for simulating process conditions based on the source input component parameters and the output component information of each separation device; A correction unit, used for correcting the simulated process conditions based on environmental parameters to obtain a corrected condition; An adjustment unit, used for adaptively adjusting the variables of the modified operating condition and performing a simulation of the desired operating condition based on the adjusted variables; The output unit is used to perform consistency verification on the expected operating conditions and the actual operating conditions after the variables are corrected, and output the component information of the target injection station after the verification is passed.

18. The system according to claim 17, characterized in that The sampling unit is also used to determine the stable operating condition based on the following rules: Simultaneously monitor the source input component information of the target injection station and the output component information of the final separation equipment; If within a predetermined period, the deviation value between the source input component information at each sampling moment is less than the preset first deviation threshold, and the deviation value between the output component information of the final separation device at each sampling moment is less than the second deviation threshold, it is determined to be a stable operating condition.

19. The system according to claim 17, characterized in that The simulation unit is specifically used for: Determine the correlation based on the source input component parameters and the output component information of each separation device; generating a correlation feature vector based on the determined correlation; Generate a basic data set based on all associated feature vectors; Based on the basic data set and the reverse fitting method, the process operation simulation is performed.

20. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method for analyzing the components of the collection and annotation stations based on reverse fitting as described in any one of claims 1 to 16.

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