An intelligent monitoring system for gas storage with microseismic monitoring function

Abstract

The application discloses an intelligent monitoring system of gas storage with microseismic monitoring function, which comprises a processing center, a microseismic monitoring end and a gas storage monitoring end; wherein the processing center comprises a data integration module, a matching module, a report generation module, an instruction generation module, a man-machine interaction module and an information base; the microseismic monitoring end comprises a signal acquisition module, a signal processing module, a waveform processing module, a storage module and a data synchronization module; the gas storage monitoring end comprises a detection module, a feedback module and an alarm module; the data synchronization module is in communication connection with the data integration module; the detection module is in communication connection with the data integration module; the signal processing module comprises an analog-digital converter and a micro control unit; by using the method, technical personnel do not need to be on standby in real time, even if the technical personnel cannot arrive at the scene to operate, a safety hidden danger cannot be formed.

Description

Technical Field

[0001] This invention relates to the field of safety technology, and in particular to an intelligent monitoring system for gas storage facilities with microseismic monitoring capabilities. Background Technology

[0002] Natural gas is a colorless and odorless gaseous hydrocarbon, and it can be stored in various forms. It is typically stored in underground reservoirs under three pressure conditions: depleted oil / gas fields, aquifers, and salt caverns. Natural gas can also be stored in liquid or gaseous form in surface tanks. Each type of storage has its own physical characteristics (porosity, permeability, retention capacity) and economics (site preparation and maintenance costs, production rate, and circulation capacity). These characteristics determine its suitability for specific applications. Two important characteristics of underground gas storage facilities are: the ability to store natural gas for future use, and the rate at which recoverable natural gas reserves are obtained, known as its production rate. The gas injection and production capacity, storage capacity, and working gas volume of a gas storage facility are important indicators for measuring its capacity. Timely monitoring of the injection and production volume of the gas storage facility, as well as the distribution and movement patterns of fluids within the facility, and then analyzing the operational status of the gas storage facility, is particularly important for its safe operation.

[0003] A search revealed that Chinese patent number CN211954250U discloses a gas storage monitoring system with microseismic monitoring function. Although it provides decision-makers with real-time information, effectively prevents pressure breaches in caprock and faults, adjusts the gas injection volume of each well in a timely manner, and shuts down wells when necessary to ensure operation within a reasonable pressure range, achieves reasonable production allocation, and protects the geological safety of the gas storage, it cannot automatically provide gas storage adjustment methods. Technical personnel are required to make judgments and operate the system. If technical personnel cannot arrive and operate the system in time, it is very easy to cause safety hazards and introduces the problem of device defects. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by proposing an intelligent monitoring system for gas storage facilities with microseismic monitoring capabilities.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A smart monitoring system for a gas storage facility with microseismic monitoring capabilities includes a processing center, a microseismic monitoring terminal, and a gas storage facility monitoring terminal.

[0007] The processing center includes a data integration module, a matching module, a report generation module, an instruction generation module, a human-computer interaction module, and an information database; the microseismic monitoring terminal includes a signal acquisition module, a signal processing module, a waveform processing module, a storage module, and a data synchronization module; the gas storage monitoring terminal includes a detection module, a feedback module, and an alarm module.

[0008] The data synchronization module is communicatively connected to the data integration module; the detection module is communicatively connected to the data integration module.

[0009] The signal processing module includes an analog-to-digital converter and a microcontroller unit.

[0010] Furthermore, the signal acquisition module is used to acquire the source signal; the signal processing module is used to process the source signal and generate waveform data, specifically as follows:

[0011] S1. The seismic source signal is transmitted to the analog-to-digital converter, where it is mixed and amplified by the internal circuitry to amplify the seismic source signal by 24 to 64 times, thus obtaining the amplified signal.

[0012] S2. The amplified signal is sent to the 24-bit A / D converter in the analog-to-digital converter to convert the electrical signal into a digital signal, and then the digital signal is transmitted to the microcontroller unit.

[0013] S3. The microcontroller determines whether the digital signal has a waveform. If it does not have a waveform, it returns to the signal acquisition module. If it has a waveform, it generates waveform data and sends it to the waveform processing module.

[0014] The waveform processing module automatically locates and maps microseismic activity based on waveform data, and generates a three-dimensional visualized earthquake scale and location; the storage module stores the three-dimensional visualized earthquake scale and location; the data synchronization module synchronously sends the three-dimensional visualized earthquake scale and location to the data integration module.

[0015] Furthermore, the specific operation of the microcontroller unit in step S3 to determine whether the digital signal has a waveform is as follows:

[0016] SS1, Set the specified thresholds for STA / LTA and PTA / STA;

[0017] SS2. The STA / LTA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If the STA / LTA value is greater than the specified threshold, a time window PTA smaller than STA is determined.

[0018] SS3. The PTA / STA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If it is greater than the specified threshold, waveform data is generated.

[0019] Furthermore, the detection module is used to detect environmental data within the gas storage facility and send the environmental data to the data integration module; the data integration module is used to integrate the environmental data with the three-dimensional visualized earthquake magnitude and location to form real-time three-dimensional visualized gas storage facility data.

[0020] Furthermore, the environmental data includes coordinate data, temperature data, pressure data, wellhead gas production data, and gas composition data; the detection elements of the detection module are arranged in a rectangular array.

[0021] Furthermore, the human-computer interaction module can manually import gas storage adjustment methods and establish a mapping relationship between gas storage adjustment methods and gas storage data; the information database is used to store the mapping relationship between gas storage adjustment methods and gas storage data; the matching module matches the gas storage data in the information database with the real-time 3D visualized gas storage data. If the matching is successful, the gas storage adjustment method is derived according to the mapping relationship to form a real-time gas storage adjustment method and a generation instruction is generated. If the matching fails, the data is returned to the data integration module; the report generation module generates a gas storage monitoring report based on the real-time gas storage adjustment method and the real-time 3D visualized gas storage data; the instruction generation module receives the generation instruction and generates an alarm instruction; the feedback module is used to provide feedback on the gas storage monitoring report; and the alarm module issues an audible and visual alarm upon receiving the alarm instruction.

[0022] Furthermore, the matching module determines whether a match is made based on a similarity algorithm. If all similarity values ​​are less than 95%, the match is not made; if any one of the similarity values ​​is greater than or equal to 95%, the match is made.

[0023] In summary, by adopting the above technical solution, the present invention has at least the following beneficial effects compared with the prior art:

[0024] 1. This invention detects environmental data within the gas storage facility using a detection module, and integrates this environmental data with a 3D visualized earthquake scale using a data integration module to form real-time 3D visualized gas storage facility data. Finally, a matching module matches the real-time 3D visualized gas storage facility data with gas storage facility data in an information database. If the matching is successful, a gas storage facility adjustment method is derived based on the mapping relationship, forming a real-time gas storage facility adjustment method. Then, a report generation module generates a gas storage facility monitoring report based on the real-time gas storage facility adjustment method and the real-time 3D visualized gas storage facility data, and sends it to a feedback module for feedback. This achieves the goal of automatically providing gas storage facility adjustment methods without requiring technicians to be on standby in real time. Even if technicians cannot reach the site to operate, no safety hazards will be created.

[0025] 2. This invention acquires seismic source signals through a signal acquisition module and then passes them to a signal processing module. The signal processing module transmits the seismic source signals to an analog-to-digital converter (ADC), where the internal circuitry mixes and amplifies the signals, increasing them by 24 to 64 times. The amplified signal is then sent to a 24-bit A / D converter within the ADC to convert the electrical signal into a digital signal. This digital signal is then transmitted to a microcontroller unit (MCU). Finally, the MCU determines whether the digital signal has a waveform. If no waveform is present, the signal is returned to the signal acquisition module. If a waveform is present, waveform data is generated and sent to the waveform processing module. The waveform processing module then converts the waveform data into a three-dimensional visualized earthquake scale, achieving accurate acquisition of earthquake scale and avoiding the inability to identify the seismic source due to an insufficiently small signal, thereby improving the monitoring effect of the gas storage facility. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the module flow of an intelligent monitoring system for gas storage facilities with microseismic monitoring function proposed in this invention. Detailed Implementation

[0027] In the following, the terms “comprising” or “may include” as used in various embodiments of the invention indicate the presence of an inventive function, operation, or element, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of the invention, the terms “comprising,” “having,” and their cognates are intended only to indicate a specific feature, number, step, operation, element, component, or combination of the foregoing, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing, or adding one or more combinations of the foregoing.

[0028] The terminology used in the various embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to limit the various embodiments of the invention. Unless otherwise specified, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the invention pertain. The terms (such as those defined in commonly used dictionaries) are to be interpreted as having the same meaning as in the context of the relevant technical field and are not to be interpreted as having an idealized or overly formal meaning unless clearly defined in the various embodiments of the invention.

[0029] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0030] Please see Figure 1 The present invention provides a technical solution: an intelligent monitoring system for gas storage facilities with microseismic monitoring function, comprising a processing center, a microseismic monitoring terminal, and a gas storage facility monitoring terminal;

[0031] The processing center includes a data integration module, a matching module, a report generation module, an instruction generation module, a human-computer interaction module, and an information database; the microseismic monitoring terminal includes a signal acquisition module, a signal processing module, a waveform processing module, a storage module, and a data synchronization module; the gas storage monitoring terminal includes a detection module, a feedback module, and an alarm module.

[0032] The data synchronization module is communicatively connected to the data integration module; the detection module is communicatively connected to the data integration module.

[0033] 1. The signal processing module includes an analog-to-digital converter and a microcontroller unit; the signal acquisition module is used to acquire the source signal; the signal processing module is used to process the source signal and generate waveform data, specifically as follows:

[0034] S1. The seismic source signal is transmitted to the analog-to-digital converter, where it is mixed and amplified by the internal circuitry to amplify the seismic source signal by 24 to 64 times, thus obtaining the amplified signal.

[0035] S2. The amplified signal is sent to the 24-bit A / D converter in the analog-to-digital converter to convert the electrical signal into a digital signal, and then the digital signal is transmitted to the microcontroller unit.

[0036] S3. The microcontroller determines whether the digital signal has a waveform. If it does not have a waveform, it returns to the signal acquisition module. If it has a waveform, it generates waveform data and sends it to the waveform processing module.

[0037] 2. The waveform processing module automatically locates and maps microseismic activity based on waveform data, and generates a three-dimensional visualized earthquake scale and location; the storage module stores the three-dimensional visualized earthquake scale and location; the data synchronization module synchronously sends the three-dimensional visualized earthquake scale and location to the data integration module; the specific operation of the microcontroller unit in step S3 to determine whether the digital signal has a waveform is as follows:

[0038] SS1, Set the specified thresholds for STA / LTA and PTA / STA;

[0039] SS2. The STA / LTA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If the STA / LTA value is greater than the specified threshold, a time window PTA smaller than STA is determined.

[0040] SS3. The PTA / STA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If it is greater than the specified threshold, waveform data is generated. The detection module is used to detect environmental data in the gas storage and send the environmental data to the data integration module.

[0041] Specifically, in the process of obtaining earthquake magnitude, the signal acquisition module collects the source signal and then hands it over to the signal processing module. The signal processing module transmits the source signal to the analog-to-digital converter (ADC), where the internal circuitry mixes and amplifies the signal, increasing it by 24 to 64 times. The amplified signal is then sent to a 24-bit A / D converter within the ADC to convert the electrical signal into a digital signal. This digital signal is then transmitted to the microcontroller unit (MCU). Finally, the MCU determines whether the digital signal has a waveform. If it does not, the signal is returned to the signal acquisition module; if it does, waveform data is generated and sent to the waveform processing module. The waveform processing module then converts the waveform data into a three-dimensional visualized earthquake magnitude, achieving accurate earthquake magnitude acquisition and avoiding the inability to identify the source due to an insufficiently small source signal, thereby improving the monitoring effect of the gas storage facility.

[0042] Example 2:

[0043] Please see Figure 1 This invention provides an intelligent monitoring system for gas storage facilities with microseismic monitoring capabilities. The data integration module integrates environmental data and 3D visualized seismic magnitude and location to form real-time 3D visualized gas storage data. The environmental data includes coordinate data, temperature data, pressure data, wellhead gas production data, and gas composition data. The detection module's detection elements are arranged in a rectangular array. The human-computer interaction module allows users to import gas storage adjustment methods and establish a mapping relationship between these methods and the gas storage data. The information database stores this mapping relationship. The matching module matches the real-time 3D visualized gas storage data with the gas storage data in the information database. The real-time 3D visualized gas storage system displays the current status and data of the gas storage facility. If the matching is successful... The system derives a gas storage adjustment method based on a preset mapping relationship, forming a real-time gas storage adjustment method and generating a command. If a match cannot be found, the system returns to the data integration module. The mapping relationship is historical data. The report generation module generates a gas storage monitoring report based on the real-time gas storage adjustment method and real-time 3D visualized gas storage data. The command generation module receives the command and generates an alarm command. The feedback module provides feedback on the gas storage monitoring report and sends it to relevant personnel or systems for further action or adjustment. The alarm module issues an audible and visual alarm upon receiving the alarm command. The matching module determines whether a match is found based on a similarity algorithm. If all similarity values ​​are less than 95%, the system does not match; if any similarity value is greater than or equal to 95%, the system matches.

[0044] Specifically, in the process of generating gas storage monitoring reports, the data integration module integrates environmental data and 3D visualized earthquake scale to form real-time 3D visualized gas storage data. Finally, the matching module matches the real-time 3D visualized gas storage data with the gas storage data in the information database. If the matching is successful, the gas storage adjustment method is derived according to the mapping relationship to form a real-time gas storage adjustment method. Then, the report generation module generates a gas storage monitoring report based on the real-time gas storage adjustment method and the real-time 3D visualized gas storage data, and submits it to the feedback module for feedback. This achieves the goal of automatically providing gas storage adjustment methods without requiring technicians to be on standby in real time. Even if technicians cannot arrive at the site to operate, no safety hazards will be created.

[0045] The working principle and usage process of this invention are as follows: After the signal acquisition module acquires the seismic source signal, it is handed over to the signal processing module. The signal processing module transmits the seismic source signal to the analog-to-digital converter (ADC), where the internal circuitry of the ADC mixes and amplifies the signal, increasing it by 24 to 64 times. The amplified signal is then sent to a 24-bit A / D converter within the ADC to convert the electrical signal into a digital signal. The digital signal is then transmitted to the microcontroller unit (MCU). Finally, the MCU determines whether the digital signal has a waveform. If it does not have a waveform, the signal is returned to the signal acquisition module. If it does have a waveform, waveform data is generated and sent to the waveform processing module. The waveform processing module then converts the waveform data into a three-dimensional visualized earthquake scale, achieving the goal of accurately obtaining the earthquake scale and avoiding... Because the seismic source signal is too small to identify the source, the monitoring effect of the gas storage facility is improved. The detection module detects the environmental data within the gas storage facility, and the data integration module integrates the environmental data and the 3D visualized earthquake scale to form real-time 3D visualized gas storage facility data. Finally, the matching module matches the real-time 3D visualized gas storage facility data with the gas storage facility data in the information database. If the matching is successful, the gas storage facility adjustment method is derived according to the mapping relationship to form a real-time gas storage facility adjustment method. Then, the report generation module generates a gas storage facility monitoring report based on the real-time gas storage facility adjustment method and the real-time 3D visualized gas storage facility data, and sends it to the feedback module for feedback. This achieves the purpose of automatically providing gas storage facility adjustment methods without the need for technicians to be on standby in real time. Even if technicians cannot reach the site to operate, no safety hazards will be created, and the operation will be completed.

[0046] Those skilled in the art will understand that the above embodiments are specific examples of implementing the present invention, and in practical applications, various changes in form and detail may be made without departing from the spirit and scope of the present invention.

Claims

1. An intelligent monitoring system for a gas storage reservoir with microseismic monitoring function, characterized in that, This includes a processing center, a microseismic monitoring terminal, and a gas storage monitoring terminal; The processing center includes a data integration module, a matching module, a report generation module, an instruction generation module, a human-computer interaction module, and an information database; the microseismic monitoring terminal includes a signal acquisition module, a signal processing module, a waveform processing module, a storage module, and a data synchronization module; the gas storage monitoring terminal includes a detection module, a feedback module, and an alarm module. The data synchronization module is communicatively connected to the data integration module; the detection module is communicatively connected to the data integration module. The signal processing module includes an analog-to-digital converter and a microcontroller unit.

2. The system of claim 1, wherein, The signal acquisition module is used to acquire seismic source signals; the signal processing module is used to process the seismic source signals and generate waveform data, specifically as follows: S1. The seismic source signal is transmitted to the analog-to-digital converter, where it is mixed and amplified by the internal circuitry to amplify the seismic source signal by 24 to 64 times, thus obtaining the amplified signal. S2. The amplified signal is sent to the 24-bit A / D converter in the analog-to-digital converter to convert the electrical signal into a digital signal, and then the digital signal is transmitted to the microcontroller unit. S3. The microcontroller unit determines whether the digital signal has a waveform. If it does not have a waveform, it returns to the signal acquisition module. If it has a waveform, it generates waveform data and sends it to the waveform processing module. The waveform processing module automatically locates and maps microseismic activity based on waveform data, and generates a three-dimensional visualized earthquake scale and location; the storage module stores the three-dimensional visualized earthquake scale and location; the data synchronization module synchronously sends the three-dimensional visualized earthquake scale and location to the data integration module.

3. The system of claim 2, wherein, The specific operation of the microcontroller unit in step S3 to determine whether the digital signal has a waveform is as follows: SS1, Set the specified thresholds for STA / LTA and PTA / STA; SS2. The STA / LTA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If the STA / LTA value is greater than the specified threshold, a time window PTA smaller than STA is determined. SS3. The PTA / STA value is calculated using the microseismic first arrival time algorithm and compared with a specified threshold. If it is greater than the specified threshold, waveform data is generated.

4. The system of claim 1, wherein, The detection module is used to detect environmental data within the gas storage facility and send the environmental data to the data integration module; the data integration module is used to integrate the environmental data with the three-dimensional visualized earthquake magnitude and location to form real-time three-dimensional visualized gas storage facility data.

5. The system as described in claim 4, characterized in that, The environmental data includes coordinate data, temperature data, pressure data, wellhead gas production data, and gas composition data; the detection elements of the detection module are arranged in a rectangular array.

6. The system as described in claim 1, characterized in that, The human-computer interaction module allows manual import of gas storage adjustment methods and establishes a mapping relationship between these methods and gas storage data. The information database stores this mapping relationship. The matching module matches real-time 3D visualized gas storage data with the data in the information database. If a match is found, the gas storage adjustment method is derived based on the mapping relationship, forming a real-time gas storage adjustment method and generating a command. If a match fails, the process returns to the data integration module. The report generation module generates a gas storage monitoring report based on the real-time gas storage adjustment method and the real-time 3D visualized gas storage data. The command generation module receives the command and generates an alarm command. The feedback module provides feedback on the gas storage monitoring report. The alarm module issues an audible and visual alarm upon receiving the alarm command.

7. The system as described in claim 1, characterized in that, The matching module determines whether a match is made based on a similarity algorithm. If all similarity values ​​are less than 95%, the match is not made. If any one of the similarity values ​​is greater than or equal to 95%, the match is made.

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