Monitoring early warning determination method and device, and storage medium

Abstract

The invention discloses a monitoring and early warning determination method and device and a storage medium. The method comprises the steps that first optical fiber data before a target storage well injects a target quantity of substances into a stratum is obtained; acquiring second optical fiber data after the target quantity of substance is injected into the stratum; calculating actual injection parameters corresponding to the target quantity of substances according to the first optical fiber data and the second optical fiber data; and comparing the actual injection parameters with pre-estimated injection parameters preset for the target quantity of substances, and determining whether to send out monitoring early warning for the target sealing well or not according to a comparison result. The problem that the carbon dioxide injection process cannot be accurately monitored to improve the monitoring efficiency and accuracy is solved. Furthermore, in the geological carbon dioxide sequestration monitoring process, the optical fibers are arranged in the underground area where carbon dioxide is injected, the diffusion condition of carbon dioxide and the temperature and strain changes of underground space can be monitored in real time, and therefore more accurate and reliable underground carbon dioxide sequestration monitoring is achieved.

Description

Technical Field

[0001] The present application relates to the field of carbon dioxide storage monitoring, and more specifically, to a method and device for determining monitoring and early warning, and a storage medium. Background Art

[0002] Carbon dioxide is considered to be one of the main greenhouse gases causing global climate change. At present, countries around the world are working hard to reduce carbon dioxide emissions. Fiber optic sensing technology is a sensing technology based on optical principles. It uses optical fiber as a sensing element and monitors environmental parameters by measuring the changes in optical signals around the optical fiber. In the field of carbon dioxide storage monitoring, the use of electrical and electromagnetic sensors is limited due to the characteristics of high temperature, high pressure and high salt in the underground environment. Therefore, in the long-term carbon dioxide geological storage monitoring process, only by using optical fiber and monitoring the working status of optical fiber can the real-time, dynamic and refined monitoring of the entire carbon dioxide injection process be achieved, and the characteristics of temperature and strain changes in the underground space can also be inverted.

[0003] With regard to the problem in related technologies that it is impossible to accurately monitor the carbon dioxide injection process to improve monitoring efficiency and accuracy, no effective solution has been proposed so far.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a method and device for determining monitoring and early warning, a storage medium and an electronic device to at least solve the problem of being unable to accurately monitor the carbon dioxide injection process to improve monitoring efficiency and accuracy.

[0006] According to one aspect of an embodiment of the present application, a method for determining a monitoring and early warning is provided, including: acquiring first optical fiber data before a target amount of material is injected into a formation by a target sealing well; acquiring second optical fiber data after the target amount of material is injected into the formation; calculating actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data; comparing the actual injection parameters with estimated injection parameters preset for the target amount of material, and determining whether to issue a monitoring and early warning for the target sealing well based on the comparison result.

[0007] In an exemplary embodiment, the actual injection parameters are compared with the estimated injection parameters preset for the target amount of material, and a determination is made based on the comparison result whether to issue a monitoring warning for the target storage well, including: when the comparison result indicates that the actual injection parameters are greater than the estimated injection parameters, determining to issue a monitoring warning for the target storage well; when the comparison result indicates that the actual injection parameters are less than or equal to the estimated injection parameters, determining not to issue a monitoring warning for the target storage well.

[0008] In an exemplary embodiment, when the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, after determining to issue a monitoring warning for the target sealing well, the method also includes: when it is determined that the target object is to perform maintenance on the target sealing well, activating preset monitoring points on the sealing well optical fiber; acquiring sensor data collected at the detection points; analyzing the sensor data to determine the parameter difference change corresponding to different optical fiber depths; correcting the estimated injection parameter according to the parameter difference change, and re-comparing the corrected estimated injection parameter with the actual injection parameter; and determining whether to lift the monitoring warning based on the new comparison result.

[0009] In an exemplary embodiment, before calculating the actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data, the method also includes: determining the length of the optical fiber installed in the target storage well; decomposing the storage well optical fiber into multiple sub-optical fiber lengths according to a preset sub-monitoring length, and determining the injection compensation parameters corresponding to each of the multiple sub-optical fiber lengths; allowing parameter adjustment of the actual injection parameters based on the injection compensation parameters.

[0010] In an exemplary embodiment, after comparing the actual injection parameters with the estimated injection parameters preset for the target amount of material, and determining whether to issue a monitoring warning for the target storage well based on the comparison result, the method also includes: recording the number of occurrences of the corresponding monitoring warning for the target storage well; when the number of occurrences is greater than the preset number of times, determining that the monitoring warning is an abnormal alarm, and detecting the wellbore integrity of the target storage well; when the number of occurrences is less than or equal to the preset number of times, determining that the monitoring warning is a normal alarm.

[0011] In an exemplary embodiment, after recording the number of occurrences of the monitoring and early warning corresponding to the target sealing well, the method also includes: obtaining the geographic information and season information of the location of the target sealing well corresponding to the monitoring and early warning; determining the monitoring and early warning type that conforms to the geographic information and season information; filtering out the target monitoring and early warning that conforms to the monitoring and early warning type from multiple monitoring and early warnings, and updating the number of occurrences based on the remaining monitoring and early warnings.

[0012] According to another aspect of an embodiment of the present application, a monitoring and early warning determination device is also provided, including: an acquisition module, used to acquire first optical fiber data before the target storage well injects a target amount of material into the formation; a collection module, used to collect second optical fiber data after the target amount of material is injected into the formation; a calculation module, used to calculate actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data; a comparison module, used to compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring and early warning for the target storage well based on the comparison result.

[0013] According to another aspect of the embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned monitoring and early warning determination method when running.

[0014] According to another aspect of the embodiment of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the monitoring and early warning determination method through the computer program.

[0015] According to another aspect of the embodiment of the present application, a computer program product is also provided, including a computer program, and the above-mentioned monitoring and early warning determination method when the computer program is executed by a processor.

[0016] Through this application, the first optical fiber data before the target storage well injects the target amount of material into the formation is obtained; the second optical fiber data after the target amount of material is injected into the formation is collected; the actual injection parameters corresponding to the target amount of material are calculated based on the first optical fiber data and the second optical fiber data; the actual injection parameters are compared with the preset estimated injection parameters of the target amount of material, and it is determined whether to issue a monitoring warning for the target storage well based on the comparison result. The problem of being unable to accurately monitor the carbon dioxide injection process to improve monitoring efficiency and accuracy is solved. Furthermore, by laying optical fibers in the area where carbon dioxide is injected underground in the carbon dioxide geological storage monitoring, the diffusion of carbon dioxide, as well as the temperature and strain changes in the underground space, can be monitored in real time, thereby achieving more accurate and reliable underground carbon dioxide storage monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a monitoring and early warning determination method according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining monitoring and early warning according to an embodiment of the present application;

[0021] Figure 3is a flow chart of a method for monitoring the working status of an optical fiber according to an embodiment of the present application;

[0022] Figure 4 It is a structural block diagram of a monitoring and early warning determination device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a mobile terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for determining monitoring and early warning in an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, CPU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the computer terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the determination method of monitoring and early warning in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0027] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a method for determining monitoring and early warning is provided. Figure 2 is a flow chart of a method for determining monitoring and early warning according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S208:

[0029] Step S202: acquiring first optical fiber data before the target sealing well injects a target amount of material into the formation;

[0030] Step S204: collecting the second optical fiber data after the target amount of material is injected into the formation;

[0031] Step S206: calculating actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data;

[0032] Step S208: Compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target sealing well based on the comparison result.

[0033] The above steps obtain the first optical fiber data before the target storage well injects the target amount of material into the formation; collect the second optical fiber data after the target amount of material is injected into the formation; calculate the actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data; compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target storage well based on the comparison result. The problem of being unable to achieve accurate monitoring of the carbon dioxide injection process to improve monitoring efficiency and accuracy is solved. Furthermore, by laying optical fibers in the area where carbon dioxide is injected underground in the carbon dioxide geological storage monitoring, the diffusion of carbon dioxide, as well as the temperature and strain changes in the underground space, can be monitored in real time, thereby achieving more accurate and reliable underground carbon dioxide storage monitoring.

[0034] In an exemplary embodiment, the actual injection parameter is compared with the estimated injection parameter preset for the target amount of material, and a determination is made based on the comparison result whether to issue a monitoring warning for the target storage well, including: when the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, determining to issue a monitoring warning for the target storage well; when the comparison result indicates that the actual injection parameter is less than or equal to the estimated injection parameter, determining not to issue a monitoring warning for the target storage well.

[0035] Optionally, assume that the preset estimated injection parameter of a storage well is to inject 1000 liters of supercritical carbon dioxide per hour, and the actual calculated injection parameter is to inject 1200 liters of supercritical carbon dioxide per hour. According to the comparison results, the actual injection parameter is greater than the estimated injection parameter, so a monitoring warning needs to be issued to ensure the safe operation of the storage well. If the actual monitored injection parameter is to inject 900 liters of supercritical carbon dioxide per hour, then according to the comparison results, the actual injection parameter is less than or equal to the estimated injection parameter, and there is no need to issue a monitoring warning. Such real-time monitoring and comparison can help operators identify problems in a timely manner and take corresponding measures.

[0036] It is understandable that by comparing the actual injection parameters with the estimated injection parameters, it is possible to quickly determine whether a monitoring warning needs to be issued, avoid unnecessary monitoring work, and improve monitoring efficiency. Determining whether to issue a monitoring warning based on the comparison results of the actual injection parameters and the estimated injection parameters can reduce false alarms and missed alarms and improve the accuracy of the warning. Timely issuance of monitoring warnings can help monitoring personnel take timely measures to ensure the safe operation of the target sealed well and improve monitoring results.

[0037] In an exemplary embodiment, when the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, after determining to issue a monitoring warning for the target sealing well, the method further includes: when it is determined that the target object is to perform maintenance on the target sealing well, activating preset monitoring points on the sealing well optical fiber; acquiring sensor data collected by the detection points; parsing the sensor data to determine the parameter difference change corresponding to different optical fiber depths; correcting the estimated injection parameter according to the parameter difference change, and re-comparing the corrected estimated injection parameter with the actual injection parameter; and determining whether to cancel the monitoring warning based on the new comparison result.

[0038] It is understandable that by activating the preset monitoring points on the optical fiber of the sealed well, the sensor data can be obtained in real time and abnormal conditions can be discovered in time. By obtaining the sensor data collected at the detection points and analyzing these data, the parameter difference changes corresponding to different optical fiber depths can be accurately determined, so as to more accurately correct the estimated injection parameters. After correcting the estimated injection parameters according to the parameter difference changes, the corrected estimated injection parameters are re-compared with the actual injection parameters, and the parameters can be adjusted in time to improve the injection efficiency of the sealed well. Determining whether to lift the monitoring warning based on the new comparison results can realize automated processing, reduce human intervention, and improve work efficiency.

[0039] In an exemplary embodiment, before calculating the actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data, the method also includes: determining the length of the optical fiber installed in the target storage well; decomposing the storage well optical fiber into multiple sub-optical fiber lengths according to a preset sub-monitoring length, and determining the injection compensation parameters corresponding to each of the multiple sub-optical fiber lengths; allowing the actual injection parameters to be adjusted according to the injection compensation parameters.

[0040] It is understandable that determining the length of the optical fiber installed in the target storage well can ensure the accuracy of the calculation, and decomposing the optical fiber into multiple sub-fiber lengths according to the preset sub-monitoring length and determining the injection compensation parameters corresponding to each sub-fiber length can more accurately adjust the actual injection parameters. By allowing the actual injection parameters to be adjusted according to the injection compensation parameters, more flexible adjustments and optimizations can be made to meet the actual conditions under different needs and conditions. In turn, the accuracy, flexibility and controllability of the injection process can be improved, thereby better achieving the injection of the target amount of material, improving production efficiency and optimizing the production process.

[0041] In an exemplary embodiment, after comparing the actual injection parameters with the estimated injection parameters preset for the target amount of material, and determining whether to issue a monitoring warning for the target storage well based on the comparison result, the method further includes: recording the number of occurrences of the corresponding monitoring warning for the target storage well; when the number of occurrences is greater than the preset number, determining that the monitoring warning is an abnormal alarm, and detecting the wellbore integrity of the target storage well; when the number of occurrences is less than or equal to the preset number, determining that the monitoring warning is a normal alarm.

[0042] It is understandable that recording the number of occurrences of the corresponding monitoring and early warning of the target sealed well can help automate the recording and analysis of data and provide a basis for subsequent decision-making. Based on the comparison of the number of occurrences, it can be determined whether the monitoring and early warning is an abnormal alarm or a normal alarm, so that subsequent detection and processing can be carried out in a targeted manner. When it is determined that the monitoring and early warning is an abnormal alarm, the wellbore integrity of the target sealed well can be further detected, and wellbore problems can be discovered and repaired in a timely manner. In turn, the management and monitoring efficiency of the sealed well can be effectively improved to ensure the safe operation of the wellbore.

[0043] In an exemplary embodiment, after recording the number of occurrences of the monitoring and early warning corresponding to the target sealing well, the method also includes: obtaining the geographic information and season information of the location of the target sealing well corresponding to the monitoring and early warning; determining the monitoring and early warning type that conforms to the geographic information and the season information; filtering out the target monitoring and early warning that conforms to the monitoring and early warning type from multiple monitoring and early warnings, and updating the number of occurrences based on the remaining monitoring and early warnings.

[0044] It is understandable that by obtaining the geographic information and seasonal information of the location of the target storage well corresponding to the monitoring and early warning, we can better understand the environmental background and conditions for the monitoring and early warning, which is helpful for more accurate monitoring and early warning. By determining the monitoring and early warning types that meet the geographic information and seasonal information, the monitoring and early warning can be classified and screened, which improves the accuracy and effectiveness of the monitoring and early warning. By filtering out the target monitoring and early warning that meets the monitoring and early warning type, redundant information and interference can be reduced, so as to focus more on key monitoring and early warning information. By updating the number of occurrences based on the remaining monitoring and early warning, the monitoring and early warning situation can be updated in a timely manner to maintain the timeliness and accuracy of the monitoring and early warning information. This can better help monitor the status of the target storage wells and improve the practicality and effectiveness of the monitoring and early warning.

[0045] Obviously, the embodiments described above are only some embodiments of the present application, not all embodiments. In order to better understand the above method, the above process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present application, specifically:

[0046] An optional embodiment of the present application provides a method for monitoring the working state of an optical fiber to solve the problem that it is impossible to accurately monitor the carbon dioxide injection process to improve monitoring efficiency and accuracy. The method uses optical fiber sensing technology to monitor the working state of the carbon dioxide injection process. An optical fiber sensor is arranged near the carbon dioxide injection pipeline, and the working state of the carbon dioxide injection process is monitored by measuring the changes in parameters such as temperature and pressure around the optical fiber sensor.

[0047] Optional, Figure 3 The present invention is a flow chart of a method for monitoring the working status of an optical fiber. The specific steps are as follows:

[0048] Step 1: Arrange fiber optic sensors around the carbon dioxide injection pipeline, through which the transmission of optical signals can be monitored in real time.

[0049] Step 2: During the CO2 injection process, the transmission of the optical signal is monitored. When a fault or abnormality occurs in the CO2 injection pipeline, the transmission of the optical signal will change.

[0050] Step 3: Monitor the changes in the optical signal to promptly detect problems during the CO2 injection process and improve monitoring efficiency and accuracy.

[0051] It should be noted that the installation location of the fiber optic sensor should be reasonably selected to ensure that the changes in parameters such as temperature and pressure around the carbon dioxide injection pipeline can be accurately monitored. The selection of fiber optic sensors should meet the monitoring requirements and have sufficient sensitivity and accuracy. During the carbon dioxide injection process, abnormal conditions detected by the fiber optic sensor should be handled in a timely manner to ensure the safety and stability of the working state. Considering that the fiber optic sensor may be affected by external environmental factors, a risk assessment needs to be conducted and corresponding protective measures should be taken. During the monitoring process, the monitoring data of the fiber optic sensor should be recorded and analyzed in a timely manner so as to adjust the working state of the carbon dioxide injection process in a timely manner.

[0052] As an optional implementation, the integrity of the wellbore, injection and production profile, and reservoir pressure can be monitored and evaluated by real-time monitoring data from permanent optical fibers installed outside the casing, combined with data from other monitoring instruments. In order to reduce costs and avoid redundant data, it is recommended to conduct multi-period observations and arrange monitoring at different stages according to the injection schedule of supercritical carbon dioxide, so as to better analyze and evaluate the wellbore conditions.

[0053] Optionally, in the above embodiment, the specific stages arranged according to the progress of injecting supercritical carbon dioxide are as follows:

[0054] Phase 1: Before injecting supercritical carbon dioxide, baseline monitoring is first performed. In this phase, permanent fiber optic sensors are installed throughout the well section to monitor wellbore data in real time. At the same time, other monitoring instruments such as downhole temperature gauges and downhole pressure gauges are used to obtain more comprehensive data. By comparing the data from different monitoring instruments, the integrity and status of the wellbore are evaluated.

[0055] Optionally, in the first stage of the above optical fiber monitoring, the following basic data needs to be obtained before injecting supercritical carbon dioxide:

[0056] Monitor DAS (vibration), DTS (temperature), DSS (strain), PT (pressure), etc. before injecting supercritical carbon dioxide or when there is no downhole activity; form a current understanding of wellbore integrity.

[0057] Phase 2: In the initial stage after supercritical carbon dioxide injection, continue to monitor the wellbore. Compare the new monitoring data with the previous baseline monitoring data to analyze whether the wellbore has changed and possible problems. At the same time, use permanent fiber optic sensors to monitor changes in reservoir pressure and evaluate the injection and production profile.

[0058] Phase 3: During the stabilization phase after supercritical CO2 injection, continue monitoring and regularly evaluate the wellbore conditions. Analyze the wellbore change trend based on previous monitoring data to assess whether there are any abnormal conditions. At the same time, monitor and evaluate changes in reservoir pressure in combination with data from permanent fiber optic sensors and other monitoring instruments.

[0059] Optionally, during and after the second phase of the above optical fiber monitoring, the integrity of the wellbore and the injection and production profiles are determined:

[0060] Obtain DAS (vibration), DTS (temperature), DSS (strain), and bottom hole PT (pressure) signals through optical fiber to monitor wellbore integrity, CO2 leakage, channeling, etc. Further, monitor the injection and production profile.

[0061] Through the above multiple observations and evaluations, we can have a more comprehensive understanding of the wellbore situation, find problems in time and take corresponding measures to ensure the safety and effectiveness of the supercritical carbon dioxide injection process. At the same time, it can avoid redundant data and reduce monitoring costs.

[0062] Optionally, the optical fiber working status monitoring specifically includes the following aspects:

[0063] 1) Fiber optic wellbore integrity and gas channel monitoring. Using permanent optical fiber laid outside the casing throughout the well section, distributed acoustic waves (DAS) are used to identify casing deformation, damage, active faults near the well, and gas leakage monitoring caused by poor cementing quality.

[0064] 2) Fiber optic injection and production profile monitoring. The permanent fiber optic cable installed outside the casing is used to monitor the DAS and DTS data in real time. At the same time, the pressure data of the single-point pressure gauge installed outside the tubing inside the casing at the bottom of the well is combined to monitor the injection and production profile in real time, optimize the injection and production parameters, monitor the injection and production profile, and evaluate the injection and production effect.

[0065] 3) Fiber optic reservoir pressure monitoring. A single-point pressure gauge is installed inside the bottom casing and outside the oil pipe, and connected to the wellhead monitoring instrument through the optical fiber permanently installed outside the oil pipe. The reservoir pressure changes are monitored in real time, and an early warning is issued when a drastic change occurs.

[0066] 4) Multi-phase observation of fiber optic monitoring. Long-term dynamic real-time monitoring of fiber optic monitoring requires long-term use of multiple sets of acquisition instruments, which is costly and contains a large amount of redundant data. Currently, multi-phase observations are recommended. The first phase is generally collected before the injection of supercritical carbon dioxide or during the quiet period when there is no downhole work, which is used to collect basic data. After that, the second and subsequent multi-phase observations are arranged according to the schedule of supercritical carbon dioxide injection. Generally, data is collected once a month to half a year. One monitoring covers the main start-up and stop stages of supercritical carbon dioxide injection, which generally lasts 2-7 days and is used to analyze wellbore integrity, injection profiles, etc.

[0067] Optionally, when using distributed optical fiber sensing technology for CO2 geological storage monitoring, the following objectives can be achieved:

[0068] (1) Real-time monitoring and positioning: Distributed fiber optic sensing (DFOS) technology can monitor underground in real time and accurately locate the location of carbon dioxide leaks. Fiber optic sensing technology can cover a wide area and provide a continuous data stream to help monitor underground geological structures and fluid movement, and promptly detect and accurately locate carbon dioxide leaks.

[0069] (2) High-sensitivity monitoring: Distributed fiber optic sensing technology has extremely high sensitivity and can detect tiny carbon dioxide leaks. It can even detect subtle underground geological changes, thereby improving the accuracy and sensitivity of monitoring.

[0070] (3) Long-term monitoring and data collection: This technology can be deployed for a long time and continuously to achieve continuous monitoring and data collection of the CO2 storage area. These data provide important information for the establishment of CO2 geological storage models, help to gain a deeper understanding of the migration and diffusion of CO2 underground, and can provide valuable experience for future storage projects.

[0071] (4) Reduce costs and improve efficiency: Compared with traditional monitoring methods, distributed fiber optic sensing technology can significantly reduce monitoring costs. Optical fiber can achieve multi-point monitoring on a single line, reducing the number of sensors that need to be deployed, reducing equipment and labor costs, and improving monitoring efficiency.

[0072] In summary, the application purpose of distributed fiber optic sensing technology is to improve the real-time, accuracy and efficiency of monitoring, thereby ensuring the safety and environmental friendliness of the underground carbon dioxide storage process and providing technical support for sustainable energy storage.

[0073] In summary, the present application has an optional embodiment. In actual engineering, in order to improve monitoring efficiency and accuracy, optical fiber sensing technology is used to monitor the working state of the carbon dioxide injection process. Optical fiber sensors are arranged around the carbon dioxide injection pipeline. By monitoring the changes in parameters such as temperature and pressure around the optical fiber sensors, the working state of the carbon dioxide injection process can be monitored in real time. By monitoring the changes in these parameters, abnormal conditions in the carbon dioxide injection process can be discovered in time, so that measures can be taken in time to make adjustments and improve monitoring efficiency and accuracy. In this way, the smooth progress of the carbon dioxide injection process can be ensured, and the operating efficiency and safety of the project can be improved.

[0074] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0075] In the present embodiment, a monitoring and early warning determination device is also provided, and the device is used to implement the above-mentioned embodiment and preferred implementation mode, and the description has been made no further. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the equipment described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceived.

[0076] Figure 4 : is a structural block diagram of a monitoring and early warning determination device according to an embodiment of the present application, the device comprising:

[0077] An acquisition module 42 is used to acquire first optical fiber data before the target storage well injects a target amount of material into the formation;

[0078] A collection module 44, used for collecting the second optical fiber data after the target amount of material is injected into the formation;

[0079] A calculation module 46, configured to calculate actual injection parameters corresponding to the target amount of material according to the first optical fiber data and the second optical fiber data;

[0080] The comparison module 48 is used to compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target sealing well according to the comparison result.

[0081] The above-mentioned device obtains the first optical fiber data before the target storage well injects the target amount of material into the formation; collects the second optical fiber data after the target amount of material is injected into the formation; calculates the actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data; compares the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determines whether to issue a monitoring warning for the target storage well based on the comparison result. The problem of being unable to achieve accurate monitoring of the carbon dioxide injection process to improve monitoring efficiency and accuracy is solved. Furthermore, by laying optical fibers in the area where carbon dioxide is injected underground in the carbon dioxide geological storage monitoring, the diffusion of carbon dioxide, as well as the temperature and strain changes in the underground space, can be monitored in real time, thereby achieving more accurate and reliable underground carbon dioxide storage monitoring.

[0082] In an exemplary embodiment, the above-mentioned comparison module is also used to determine whether to issue a monitoring warning for the target storage well when the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter; and determine not to issue a monitoring warning for the target storage well when the comparison result indicates that the actual injection parameter is less than or equal to the estimated injection parameter.

[0083] In an exemplary embodiment, the above-mentioned comparison module also includes: an activation unit, which is used to determine that after issuing a monitoring warning for the target sealing well when the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, and when it is determined that the target object is repairing the target sealing well, activate the preset monitoring points on the sealing well optical fiber; obtain the sensor data collected by the detection points; analyze the sensor data to determine the parameter difference change corresponding to different optical fiber depths; correct the estimated injection parameter according to the parameter difference change, and re-compare the corrected estimated injection parameter with the actual injection parameter; and determine whether to cancel the monitoring warning based on the new comparison result.

[0084] In an exemplary embodiment, the above-mentioned device also includes: a determination module, which is used to determine the length of the optical fiber installed in the target storage well before calculating the actual injection parameters corresponding to the target amount of material based on the first optical fiber data and the second optical fiber data; decompose the storage well optical fiber into multiple sub-optical fiber lengths according to a preset sub-monitoring length, and determine the injection compensation parameters corresponding to each of the multiple sub-optical fiber lengths; and allow the actual injection parameters to be adjusted according to the injection compensation parameters.

[0085] In an exemplary embodiment, the above-mentioned device also includes: a recording module, which compares the actual injection parameters with the estimated injection parameters preset for the target amount of material, and determines whether to issue a monitoring warning for the target storage well based on the comparison result, and then records the number of occurrences of the corresponding monitoring warning for the target storage well; when the number of occurrences is greater than the preset number of times, determines that the monitoring warning is an abnormal alarm, and detects the wellbore integrity of the target storage well; when the number of occurrences is less than or equal to the preset number of times, determines that the monitoring warning is a normal alarm.

[0086] In an exemplary embodiment, the above-mentioned recording module also includes: an acquisition unit, which is used to record the number of occurrences of the monitoring and early warning corresponding to the target sealing well, and then obtain the geographical information and season information of the location of the target sealing well corresponding to the monitoring and early warning; determine the monitoring and early warning type that conforms to the geographical information and the seasonal information; filter out the target monitoring and early warning that conforms to the monitoring and early warning type from multiple monitoring and early warnings, and update the number of occurrences based on the remaining monitoring and early warnings.

[0087] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0088] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0089] S1, obtaining the first optical fiber data before the target storage well injects the target amount of material into the formation;

[0090] S2, collecting second optical fiber data after the target amount of material is injected into the formation;

[0091] S3, calculating actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data;

[0092] S4. Compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target sealing well based on the comparison result.

[0093] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0094] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0095] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps in any one of the above method embodiments are performed.

[0096] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0097] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0098] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0099] S1, obtaining the first optical fiber data before the target storage well injects the target amount of material into the formation;

[0100] S2, collecting second optical fiber data after the target amount of material is injected into the formation;

[0101] S3, calculating actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data;

[0102] S4. Compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target sealing well based on the comparison result.

[0103] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0104] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0105] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0106] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining monitoring and early warning, characterized in that: include: Acquire the first optical fiber data before the target storage well injects the target amount of material into the formation; collecting second optical fiber data after the target amount of material is injected into the formation; Calculating actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data; The actual injection parameters are compared with the preset estimated injection parameters of the target amount of material, and it is determined whether to issue a monitoring warning for the target storage well based on the comparison result.

2. The method according to claim 1, characterized in that Comparing the actual injection parameter with the preset estimated injection parameter of the target amount of material, and determining whether to issue a monitoring warning for the target storage well according to the comparison result, including: When the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, determining to issue a monitoring warning for the target sealing well; When the comparison result indicates that the actual injection parameter is less than or equal to the estimated injection parameter, it is determined not to issue a monitoring warning for the target sealing well.

3. The method according to claim 2, characterized in that When the comparison result indicates that the actual injection parameter is greater than the estimated injection parameter, after determining to issue a monitoring warning for the target storage well, the method further includes: When it is determined that the target object is inspecting the target sealed well, activating the preset monitoring points on the optical fiber of the sealed well; Acquiring sensor data collected at the monitoring points; Analyze the sensing data to determine the parameter difference changes corresponding to different optical fiber depths; Correcting the estimated injection parameter according to the parameter difference variation, and re-comparing the corrected estimated injection parameter with the actual injection parameter; Determine whether to cancel the monitoring warning based on the new comparison result.

4. The method according to claim 1, characterized in that Before calculating the actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data, the method further includes: determining the length of the optical fiber installed in the target storage well; Decomposing the sealed well optical fiber into a plurality of sub-optical fiber lengths according to a preset sub-monitoring length, and determining an injection compensation parameter corresponding to each of the plurality of sub-optical fiber lengths; The actual injection parameter is allowed to be adjusted according to the injection compensation parameter.

5. The method according to claim 1, characterized in that After comparing the actual injection parameter with the preset estimated injection parameter of the target amount of material, and determining whether to issue a monitoring warning for the target sealing well according to the comparison result, the method further includes: Record the number of occurrences of the corresponding monitoring and early warning of the target sealing well; In the case where the number of occurrences is greater than a preset number, determining that the monitoring warning is an abnormal alarm, and detecting the wellbore integrity of the target sealed well; When the number of occurrences is less than or equal to a preset number, the monitoring warning is determined to be a normal alarm.

6. The method according to claim 5, characterized in that After recording the number of occurrences of the monitoring and early warning corresponding to the target sealed well, the method further includes: Obtaining geographic information and seasonal information of the location of the target storage well corresponding to the monitoring and early warning; Determine the monitoring and early warning type that matches the geographic information and the seasonal information; Target monitoring warnings that meet the monitoring warning type are filtered out from multiple monitoring warnings, and the number of occurrences is updated based on the remaining monitoring warnings.

7. A monitoring and early warning determination device, characterized in that: include: An acquisition module, used to acquire first optical fiber data before the target storage well injects a target amount of material into the formation; A collection module, used for collecting the second optical fiber data after the target amount of material is injected into the formation; A calculation module, used for calculating actual injection parameters corresponding to the target amount of substance according to the first optical fiber data and the second optical fiber data; A comparison module is used to compare the actual injection parameters with the preset estimated injection parameters of the target amount of material, and determine whether to issue a monitoring warning for the target sealing well based on the comparison result.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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