Intelligent pressure management system, method and terminal for geological storage of carbon dioxide

Abstract

The invention provides an intelligent pressure management system, method and terminal for geological sequestration of carbon dioxide, and the system comprises the steps: collecting the pressure data of the interior and peripheral key positions of each geological reservoir in real time through a pressure monitoring subsystem, and then carrying out the data preprocessing and feature extraction through a data processing and analysis subsystem; and predicting the reservoir pressure change trend in a specific time period in the future. If the predicted reservoir pressure change trend pressure is too high, high-risk related information is transmitted to the intelligent regulation and control subsystem, and the intelligent regulation and control subsystem regulates and controls the reservoir pressure by regulating the flow of a carbon dioxide injection well and a production well or starting a pressure release device according to a preset strategy and dynamically regulates a regulation and control mode according to pressure data. Meanwhile, the communication and monitoring subsystem transmits system operation data to a remote monitoring terminal in real time, so that real-time monitoring is facilitated. Real-time, accurate and automatic regulation and control of the pressure of the geological reservoir are achieved, the stability and safety of the geological reservoir in the carbon dioxide injection process are guaranteed, the geological storage effect of the carbon dioxide is improved, and various negative effects caused by too high pressure are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of geological storage, and particularly to an intelligent pressure management system, method and terminal for carbon dioxide geological storage. Background Art

[0002] With the global emphasis on carbon dioxide emission reduction, carbon dioxide geological storage has received extensive attention and application as an effective carbon emission reduction means. During the process of injecting carbon dioxide into a geological reservoir for storage, the reasonable control of the pressure in the geological reservoir is crucial. If the reservoir pressure is too high, it may not only damage the integrity of the reservoir rock, cause fissure expansion, rock rupture, etc., resulting in carbon dioxide leakage and affecting the storage effect, but also trigger geological disasters such as earthquakes, ground uplift or subsidence, posing a serious threat to the surrounding ecological environment, human infrastructure and life and property safety.

[0003] However, in current carbon dioxide geological storage projects, there are many limitations in existing pressure management technologies. For example, the accuracy and real-time performance of pressure monitoring are insufficient, making it difficult to accurately reflect the dynamic changes of reservoir pressure; pressure prediction lacks reliable models and advanced algorithm support, and cannot effectively warn of the risk of excessive pressure in advance; the regulation means are relatively single and not intelligent enough, and cannot adjust in a timely and accurate manner according to the complex and changeable reservoir pressure conditions. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an intelligent pressure management system, method and terminal for carbon dioxide geological storage, which are used to solve the technical problems in the prior art, such as poor accuracy and real-time performance in pressure monitoring, lack of reliable models and advanced algorithm support in pressure prediction, making it difficult to effectively warn of the risk of excessive pressure in advance, and single and insufficiently intelligent regulation means, unable to adjust in a timely and accurate manner according to the complex reservoir pressure conditions.

[0005] To achieve the above and other related objectives, the present invention provides an intelligent pressure management system for geological carbon dioxide sequestration. The system includes: a pressure monitoring subsystem, a data processing and analysis subsystem, an intelligent regulation subsystem, and a communication and monitoring subsystem. Among them, the pressure monitoring subsystem is communicatively connected to the data processing and analysis subsystem and includes: a plurality of pressure sensors arranged at key positions inside and around the geological reservoir for real-time collection of pressure data at each measurement point and transmission of the data to the data processing and analysis subsystem. The data processing and analysis subsystem is communicatively connected to the intelligent regulation subsystem, and is used for performing data preprocessing and feature extraction on the real-time collected pressure data, predicting the change trend of the reservoir pressure in a specific future time period, and transmitting high-risk related information to the intelligent regulation subsystem when the predicted reservoir pressure change trend is too high. The intelligent regulation subsystem is used for, when receiving high-risk related information, regulating the geological reservoir pressure by adjusting the flow rate of the carbon dioxide injection well or production well according to a preset regulation strategy or by starting the pressure release device for adjustment, and dynamically adjusting the regulation method based on the change of the pressure data during the regulation process. The communication and monitoring subsystem is communicatively connected to each subsystem and is used for real-time transmission of the system operation data to a remote monitoring terminal for monitoring the system operation status.

[0006] In an embodiment of the present invention, each pressure sensor in the pressure monitoring subsystem is used for collecting pressure data at a preset time interval, and simultaneously recording the corresponding collection timestamp and the position coordinates of the pressure sensor.

[0007] In an embodiment of the present invention, the data processing and analysis subsystem includes: a data preprocessing unit for performing data preprocessing on the real-time collected pressure data; a data analysis unit connected to the data preprocessing unit for extracting the spatio-temporal features of the preprocessed pressure data and obtaining the change trend of the reservoir pressure in a specific future time period based on the constructed pressure prediction model; a risk judgment unit connected to the data analysis unit for judging whether the change trend of the reservoir pressure exceeds a preset safety threshold, and generating a high-risk prompt message and pressure analysis information when it exceeds the safety threshold; a data transmission unit connected to the risk judgment unit for transmitting the high-risk prompt message and pressure analysis information to the intelligent regulation subsystem.

[0008] In an embodiment of the present invention, the data analysis unit includes: a spatio-temporal feature extraction subunit, configured to extract features of the preprocessed pressure data in the time and space dimensions based on a machine learning algorithm; a prediction model construction subunit, connected to the spatio-temporal feature extraction subunit, configured to construct a pressure prediction model based on the extracted features in the time and space dimensions, in combination with the rock mechanics parameters, pore structure characteristics of the geological reservoir, and the existing carbon dioxide injection historical data; a pressure prediction subunit, connected to the spatio-temporal feature extraction subunit and the prediction model construction subunit, configured to perform pressure state analysis and trend prediction based on the constructed pressure prediction model, and obtain the change trend of the reservoir pressure within a specific future time period according to the extracted features in the time and space dimensions.

[0009] In an embodiment of the present invention, the regulation strategy includes: judging whether the current overpressure situation is urgent according to the received high-risk related information; if not urgent, using an intelligent control algorithm to send regulation instructions to the flow control devices of the injection well and the production well to adjust the flow rates of the carbon dioxide injection well and the production well, and evaluating the regulation effect and dynamically adjusting the regulation method according to the change trend of the reservoir pressure real-time feedback by the data processing and analysis subsystem during the adjustment process; if urgent, starting a pressure release device to orderly release the carbon dioxide in the reservoir according to the pre-set pressure release parameters.

[0010] In an embodiment of the present invention, dynamically adjusting the regulation method according to the change trend of the reservoir pressure real-time feedback by the data processing and analysis subsystem includes: judging whether the pressure increase trend is effectively controlled during the adjustment process according to the change trend of the reservoir pressure real-time feedback by the data processing and analysis subsystem; if it is effectively controlled, dynamically adjusting the flow rate adjustment range of the carbon dioxide injection well or the production well according to the pressure change trend; if it is not effectively controlled, starting a pressure release device to orderly release the carbon dioxide in the reservoir according to the pre-set pressure release parameters.

[0011] In an embodiment of the present invention, the system further includes: a visualization subsystem, communicatively connected to the data processing and analysis subsystem and the intelligent regulation subsystem, configured to generate visualization data of the pressure distribution, pressure dynamic change, and operation status of the regulation mechanism of the geological reservoir, and send them to a remote monitoring terminal through the communication and monitoring subsystem for graphically displaying the key information of the geological reservoir pressure and the regulation process on the remote monitoring terminal.

[0012] In an embodiment of the present invention, the system further includes: a power supply subsystem, communicatively connected to each subsystem, configured to supply power to the system using a redundant design and combining multiple power supply methods; wherein, the multiple power supply methods include: underground cable power supply, energy storage device power supply, and wireless charging.

[0013] To achieve the above and other related objectives, the present invention provides an intelligent pressure management method for carbon dioxide geological storage, which is applied to the intelligent pressure management system for carbon dioxide geological storage. The method includes: real-time collecting pressure data at key positions inside and around each geological reservoir; performing data preprocessing and feature extraction on the real-time collected pressure data, predicting the change trend of reservoir pressure in a specific future time period, and generating high-risk related information when the predicted reservoir pressure change trend is too high; according to a preset regulation strategy, regulating the geological reservoir pressure by adjusting the flow rate of carbon dioxide injection wells or production wells or by starting the pressure release device to adjust based on the high-risk related information, and dynamically adjusting the regulation method based on the change of pressure data during the regulation process.

[0014] To achieve the above and other related objectives, the present invention provides an electronic terminal, including: one or more memories and one or more processors; the one or more memories are used for storing computer programs; the one or more processors are connected to the memories and are used for running the computer programs to execute the intelligent pressure management system for carbon dioxide geological storage.

[0015] As described above, the present invention is an intelligent pressure management system, method and terminal for carbon dioxide geological storage, having the following beneficial effects: The present invention real-time collects pressure data at key positions inside and around each geological reservoir through the pressure monitoring subsystem, and then the data processing and analysis subsystem performs data preprocessing and feature extraction, and predicts the change trend of reservoir pressure in a specific future time period. If the predicted reservoir pressure change trend is too high, the high-risk related information is transmitted to the intelligent regulation subsystem, which regulates the reservoir pressure by adjusting the flow rate of carbon dioxide injection wells, production wells or starting the pressure release device according to the preset strategy, and dynamically adjusts the regulation method according to the pressure data. At the same time, the communication and monitoring subsystem transmits the system operation data to the remote monitoring terminal in real time for real-time monitoring. The present invention realizes real-time, accurate and automatic regulation of the geological reservoir pressure, ensures the stability and safety of the geological reservoir during the carbon dioxide injection process, improves the effect of carbon dioxide geological storage, and avoids various adverse consequences caused by too high pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It shows a schematic structural diagram of the intelligent pressure management system for carbon dioxide geological storage in an embodiment of the present invention.

[0017] Figure 2 It shows a schematic structural diagram of the data processing and analysis subsystem in an embodiment of the present invention.

[0018] Figure 3It shows a schematic structural diagram of a data analysis unit in an embodiment of the present invention.

[0019] Figure 4 It shows a schematic diagram of an intelligent regulation process in an embodiment of the present invention.

[0020] Figure 5 It shows a schematic diagram of the process of an intelligent pressure management method for carbon dioxide geological storage in an embodiment of the present invention.

[0021] Figure 6 It shows a schematic structural diagram of an electronic terminal in an embodiment of the present invention. Detailed implementation manners

[0022] The following uses specific specific examples to illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0023] It should be noted that in the following description, reference is made to the accompanying drawings, which describe several embodiments of the present invention. It should be understood that other embodiments can also be used, and mechanical composition, structure, electrical, and operational changes can be made without departing from the spirit and scope of the present invention. The following detailed description should not be considered restrictive, and the scope of the embodiments of the present invention is only defined by the claims of the published patent. The terms used here are only for describing specific embodiments and are not intended to limit the present invention. Spatially related terms, such as "upper", "lower", "left", "right", "below", "beneath", "lower part", "above", "upper part", etc., can be used in the text to facilitate the description of the relationship between one element or feature shown in the figure and another element or feature.

[0024] Throughout the specification, when it is said that a certain part is "connected" to another part, this includes not only the case of "direct connection", but also the case of "indirect connection" where other elements are placed in between. In addition, when it is said that a certain part "includes" a certain component, unless there is a particularly contrary record, it does not mean excluding other components, but means that other components can also be included.

[0025] The first, second, third, etc. terms mentioned herein are used to illustrate various parts, components, regions, layers, and / or segments, but are not limited thereto. These terms are only used to distinguish one part, component, region, layer, or segment from other parts, components, regions, layers, or segments. Therefore, the first part, component, region, layer, or segment described below may refer to the second part, component, region, layer, or segment without exceeding the scope of the present invention.

[0026] Furthermore, as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should be further understood that the terms "comprises" and "comprising" specify the presence of the stated features, operations, elements, components, items, kinds, and / or groups, but do not preclude the presence, occurrence, or addition of one or more other features, operations, elements, components, items, kinds, and / or groups. The terms "or" and "and / or" used herein are to be construed as inclusive, meaning either one or any combination. Thus, "A, B, or C" or "A, B, and / or C" means "any of the following: A; B; C; A and B; A and C; B and C; A, B, and C". An exception to this definition occurs only when the combination of elements, functions, or operations is inherently mutually exclusive in some way.

[0027] The present invention provides an intelligent pressure management system for geological carbon dioxide sequestration. The pressure monitoring subsystem collects pressure data at key positions inside and around each geological reservoir in real time. Subsequently, the data processing and analysis subsystem performs data preprocessing and feature extraction, and predicts the change trend of the reservoir pressure within a specific future time period. If the predicted change trend of the reservoir pressure is too high, the high-risk related information is transmitted to the intelligent regulation subsystem. This subsystem regulates the reservoir pressure by adjusting the flow rates of carbon dioxide injection wells and production wells or activating pressure release devices according to preset strategies, and dynamically adjusts the regulation method according to the pressure data. At the same time, the communication and monitoring subsystem transmits the system operation data to the remote monitoring terminal in real time for real-time monitoring. The present invention realizes real-time, accurate, and automatic regulation of the geological reservoir pressure, ensures the stability and safety of the geological reservoir during the carbon dioxide injection process, improves the effect of geological carbon dioxide sequestration, and avoids various adverse consequences caused by excessive pressure.

[0028] The following will be described in detail with reference to the accompanying drawings for the embodiments of the present invention so that those skilled in the technical field of the present invention can easily implement it. The present invention can be embodied in many different forms and is not limited to the embodiments described herein.

[0029] As Figure 1 shows a schematic structural diagram of an intelligent pressure management system for geological carbon dioxide sequestration in an embodiment of the present invention.

[0030] The system includes: a pressure monitoring subsystem 1, a data processing and analysis subsystem 2, an intelligent regulation subsystem 3, and a communication and monitoring subsystem 4;

[0031] Among them, the pressure monitoring subsystem 1 includes: a plurality of pressure sensors, which are specially designed and encapsulated to adapt to the high temperature, high pressure, and possible corrosive conditions in the carbon dioxide geological storage environment. And the pressure sensors are scientifically and reasonably arranged at key positions inside and around the geological reservoir, including but not limited to the periphery of injection wells, monitoring wells, production wells, pressure relief wells, etc., and at different depth levels. Each pressure sensor is used to collect the pressure data at each measurement point in real time and transmit the data to the data processing and analysis subsystem 2 through a communication line or wireless transmission with high anti-interference ability.

[0032] The data processing and analysis subsystem 2, which is communicatively connected to the intelligent regulation subsystem 3, is used to perform data preprocessing and feature extraction on the pressure data collected in real time by the pressure monitoring subsystem 1, predict the change trend of the reservoir pressure in a specific future time period, and transmit high-risk related information to the intelligent regulation subsystem 3 when the predicted reservoir pressure change trend is too high;

[0033] The intelligent regulation subsystem 3 is used to, when receiving high-risk related information, regulate the geological reservoir pressure by adjusting the flow rate of the carbon dioxide injection well or production well or by activating the pressure release device according to a preset regulation strategy, and evaluate the regulation effect based on the change of the pressure data during the regulation process, and then dynamically adjust the regulation method.

[0034] The communication and monitoring subsystem 4, which is communicatively connected to each subsystem, is used to transmit the system operation data to a remote monitoring terminal in real time for monitoring the system operation status. Specifically, the communication and monitoring subsystem 4 can transmit the operation status of the system, key pressure data, warning information, etc. to the remote monitoring terminal in real time, facilitating the operators to remotely monitor the operation of the intelligent pressure management system for the entire carbon dioxide geological storage at the ground monitoring center or through mobile devices, and can perform remote intervention and parameter adjustment according to actual needs.

[0035] In one embodiment, according to the detailed geological survey report of the target area, the key information such as the structural characteristics, rock properties, pore distribution, etc. of the geological reservoir is clarified, and the key positions and number of the pressure sensors of the pressure monitoring subsystem 1 are planned based on this. For example, the sensors are arranged at key points such as the main injection area of ​​the reservoir, the parts where carbon dioxide is easily gathered, and the areas close to the surface and sensitive to pressure changes, to ensure that the sensors can fully and accurately reflect the changes in reservoir pressure. Professional downhole installation equipment can be used to properly install and fix the pressure sensors in the corresponding positions, and the communication lines can be connected to complete the installation of the pressure monitoring subsystem.

[0036] In one embodiment, each pressure sensor in the pressure monitoring subsystem 1 continuously collects pressure data at each point in the geological reservoir at a preset time interval, and records the corresponding acquisition timestamp and detailed information such as the specific location coordinates of the sensor, and then transmits these pressure data with complete identification to the data processing and analysis subsystem 2 through a reliable communication method. It should be noted that the set time interval can be flexibly adjusted according to the requirements of the specific storage project, for example, every 2 minutes, every 5 minutes, etc., or continuous sampling by optical fiber sensors.

[0037] In one embodiment, if Figure 2 , the data processing and analysis subsystem 2 includes:

[0038] The data preprocessing unit is used to preprocess the pressure data collected in real time. Specifically, after receiving the pressure data, it first uses professional data cleaning and calibration algorithms to remove abnormal data points and correct deviations caused by environmental interference and other factors to ensure data quality. For example, preprocessing methods such as data filtering and normalization are used to remove abnormal data caused by sensor fluctuations, electromagnetic interference and other factors to ensure data purity and consistency.

[0039] A data analysis unit is used to extract the temporal and spatial characteristics of the preprocessed pressure data and obtain the reservoir pressure change trend within a specific time period in the future based on the constructed pressure prediction model;

[0040] The risk judgment unit is connected to the data analysis unit and is used to judge whether the reservoir pressure change trend exceeds the preset safety threshold, and generate high-risk warning information and pressure analysis information when the safety threshold is exceeded; wherein the preset safety threshold is scientifically set according to factors such as the carrying capacity of different geological reservoirs and the sealing target. The high-risk warning information and pressure analysis information here may include multiple factors such as the speed of pressure increase, the degree of exceeding the safety threshold, and the trend of pressure change. By comprehensively analyzing this information, the intelligent control subsystem can subsequently accurately judge the urgency of the current situation, thereby deciding what control method to take to adjust the pressure.

[0041] A data transmission unit, connected to the risk judgment unit, for transmitting high-risk prompt information and pressure analysis information to the intelligent regulation subsystem 3.

[0042] In one embodiment, as Figure 2 , the data analysis unit includes:

[0043] A spatio-temporal feature extraction subunit, the core function of which is to extract features in the time and space dimensions from the preprocessed pressure data based on machine learning algorithms, so as to deeply analyze the spatio-temporal variation law of the pressure data, and then accurately judge the current reservoir pressure state.

[0044] A prediction model construction subunit, connected to the spatio-temporal feature extraction subunit. The main function of this subunit is to construct a pressure prediction model based on the extracted features in the time and space dimensions, combined with the rock mechanics parameters, pore structure characteristics of the geological reservoir, and the existing carbon dioxide injection historical data before the formal pressure prediction; the rock mechanics parameters include the elastic modulus, Poisson's ratio, compressive strength, etc. of the rock, which describe the mechanical response characteristics of the rock when stressed and have an important impact on the change of reservoir pressure. The pore structure characteristics include porosity, permeability, etc. Porosity determines the storage capacity of fluids in the reservoir, and permeability affects the flow velocity of fluids in the reservoir. They directly affect the propagation and distribution of pressure in the reservoir. The carbon dioxide injection historical data records information such as the time, injection volume, and injection pressure of carbon dioxide injected into the reservoir in the past. These data can reflect the influence law of carbon dioxide injection on reservoir pressure.

[0045] A pressure prediction subunit, connected to the spatio-temporal feature extraction subunit and the prediction model construction subunit. The main function of this subunit is to input the extracted features in the time and space dimensions into the constructed pressure prediction model, deeply analyze the spatio-temporal variation law of the pressure data, accurately judge the current reservoir pressure state, and conduct trend prediction to obtain the reservoir pressure change trend within a specific future time period. The specific time period is set according to specific requirements, such as several hours to several days in the future.

[0046] In a specific embodiment, the spatio-temporal feature extraction sub-unit analyzes time series data through a Long Short-Term Memory network (LSTM); LSTM is a special Recurrent Neural Network (RNN) that can handle long-term dependencies in sequential data. In pressure data analysis, pressure data exhibits certain sequential characteristics over time, such as fluctuations and periodic changes in pressure during different time periods. LSTM can learn the patterns and regularities of these time series, capturing the features of pressure data in the time dimension, such as the rising or falling trend of pressure, the period and amplitude of periodic changes, etc. The spatio-temporal feature extraction sub-unit mines the spatial pressure distribution features through a Convolutional Neural Network (CNN); CNN was initially mainly used for image recognition tasks and can automatically extract spatial features in images. In reservoir pressure analysis, the spatial distribution of pressure data is regarded as two-dimensional or three-dimensional data similar to images. CNN can perform sliding convolution operations in the spatial dimension of pressure data through convolutional kernels, extracting the distribution features of pressure at different spatial positions, such as local peaks, valleys of pressure, and changes in pressure gradients, etc.

[0047] In one embodiment, as Figure 3 , the intelligent regulation subsystem 3 activates corresponding intelligent regulation strategies based on the pressure over-high risk prompt information sent by the data processing and analysis subsystem. It has multi-dimensional regulation means, including:

[0048] After receiving the pressure over-high risk prompt information, the intelligent regulation subsystem first determines whether the current pressure over-high situation is urgent based on the received high-risk related information;

[0049] If it is not urgent, it uses an intelligent control algorithm to send regulation instructions to the flow control devices of the injection well and the production well to adjust the flow rates of the carbon dioxide injection well and the production well; taking the Proportional-Integral-Derivative (PID) control algorithm combined with an adaptive control strategy as an example, the PID control algorithm can, according to the deviation between the current pressure and the set pressure, through the operations of the proportional, integral, and derivative links, output an appropriate control quantity to adjust the flow rates of the carbon dioxide injection well and the production well. The adaptive control strategy can automatically adjust the parameters of the PID controller according to the complex dynamic changes of the reservoir pressure, making the system have better adaptability and control performance. During the regulation process, the pressure monitoring subsystem 1 continues to collect the pressure data after preliminary regulation in real time, and the data processing and analysis subsystem 2 performs data preprocessing and feature extraction based on the regulated pressure data received in real time, predicts the change trend of the reservoir pressure, and feeds back the change trend of the reservoir pressure to the intelligent regulation subsystem 3. The intelligent regulation subsystem 3 evaluates the regulation effect in real time according to the change trend of the reservoir pressure feedback by the data processing and analysis subsystem 2 in real time during the adjustment process, and dynamically adjusts the regulation method to ensure the accuracy and effectiveness of the regulation.

[0050] If it is urgent, indicating that it is difficult to quickly relieve the pressure solely by flow regulation, the pressure relief device is activated, and the carbon dioxide in the reservoir is released orderly according to the pre-set pressure relief parameters, quickly relieving the urgent situation of excessive pressure and ensuring that the reservoir pressure is always maintained within a safe and reasonable range. These pressure relief parameters include: parameters such as the release pressure gradient and the release volume threshold, to ensure that while quickly relieving the urgent situation of excessive pressure, no additional damage is caused to the reservoir.

[0051] In one embodiment, in non-urgent situations, the intelligent control algorithm is used to send control commands to the flow control devices of the injection well and the production well to gradually reduce the injection flow rate. At the same time, closely monitor the pressure change trend transmitted by the data processing and analysis subsystem 2, evaluate the control result, and judge whether the upward pressure trend is effectively controlled during the adjustment process;

[0052] If it is effectively controlled, the flow regulation amplitude of the carbon dioxide injection well or production well is dynamically adjusted according to the pressure change trend to continuously optimize the control effect. Specifically, if it is found that the upward pressure trend is effectively curbed but still close to the safety threshold, the production flow rate of the production well is finely adjusted to accelerate the pressure drop speed. Subsequently, as the pressure gradually drops within the safety threshold range, the intelligent control subsystem maintains the current flow stable state according to the real-time evaluation result, ensuring the safe and orderly continuation of the carbon dioxide geological storage operation.

[0053] If it is not effectively controlled, the pressure relief device is activated, and the carbon dioxide in the reservoir is released orderly according to the pre-set pressure relief parameters until the pressure drops back within the safe range.

[0054] In one embodiment, as Figure 4 , the system further includes: a visualization subsystem 5; the visualization subsystem is communicatively connected to the data processing and analysis subsystem and the intelligent control subsystem. It receives data from these two subsystems. The data processing and analysis subsystem will provide processed and analyzed geological reservoir pressure data, including the spatio-temporal distribution characteristics and change trends of the pressure, etc., and can generate visualization data of the geological reservoir pressure distribution and visualization data of the pressure dynamic change according to the data from the data processing and analysis subsystem; the intelligent control subsystem will provide relevant information during the control process, such as control commands, equipment response situations, and control effect feedback, etc., and can generate visualization data of the operation situation of the control mechanism according to the data from the intelligent control subsystem. These visualization data generated by the visualization subsystem will be sent to the remote monitoring terminal through the communication and monitoring subsystem. The remote monitoring terminal can be a computer screen located in the monitoring center or a monitoring application on a mobile device. On these terminals, the key information of the geological reservoir pressure and the control process can be visually displayed, facilitating the operators to monitor the pressure status and control situation of the geological reservoir at any time at different locations.

[0055] Visualized data of the pressure distribution in a geological reservoir can utilize professional visualization software and graphics libraries to present the pressure distribution of the geological reservoir in the form of a two - dimensional or three - dimensional map. Different colors or contour lines are used to represent different pressure intervals. For example, warm colors (such as red, orange) may be used to represent high - pressure areas, and cold colors (such as blue, green) to represent low - pressure areas. By observing this visualized map, operators can intuitively see the overall distribution trend of pressure in the entire geological reservoir, quickly identify areas with higher or lower pressure, which helps to have a macroscopic understanding of the pressure situation of the reservoir.

[0056] Visualized data of the dynamic pressure change can be presented in the form of a time - series graph. The change of pressure over time at each monitoring point is plotted as a curve. The abscissa represents time, and the ordinate represents the pressure value. By observing these curves, operators can clearly understand the dynamic change process of pressure over time, including the rising and falling trends of pressure, and whether there are periodic changes, etc. This is of great significance for analyzing the law of pressure change and predicting the future pressure trend.

[0057] Visualized data of the operation of the regulation mechanism can be presented in the form of a dynamic flow chart. This flow chart shows the process of issuing regulation instructions, from the intelligent regulation subsystem sending instructions to the response of execution devices such as flow control devices or pressure release devices in injection wells and production wells, as well as the feedback path of the regulation effect. Through this visualization method, operators can clearly understand the operation of the entire regulation mechanism, clarify the association and information transfer between each link, which helps to timely discover possible problems in the regulation process.

[0058] When an abnormal situation occurs in the system, such as a high - pressure warning, the visualization subsystem will transmit and display relevant information for display on the remote monitoring terminal. It can attract the attention of operators by means of flashing, color - changing, etc., ensuring that operators can timely discover abnormal situations and take corresponding measures to handle them, guaranteeing the safety of the geological reservoir and the smooth progress of the carbon dioxide geological sequestration operation.

[0059] In one embodiment, Figure 4 , the system further includes: a power supply subsystem 6, which is communicatively connected to each subsystem. To ensure that the entire pressure management system can operate continuously and stably in the underground complex environment, the power supply subsystem adopts a strategy of combining redundant design and multiple power supply methods to supply power to the system.

[0060] Adopting redundant design is one of the important strategies for the power supply subsystem. In the complex underground environment, the power supply system may face various uncertainties and potential risks. For example, cables may be damaged due to geological activities, corrosion, etc., resulting in power outages. Redundant design can automatically switch to the backup power supply line or equipment when the main power supply line or equipment fails, ensuring that the power supply of the system is not interrupted. This design greatly improves the reliability and fault tolerance of the system, reducing the possibility of the entire pressure management system shutting down or malfunctioning due to power supply problems.

[0061] Multiple power supply methods include: multiple of underground cable power supply, energy storage device power supply, and wireless charging.

[0062] The underground cable power supply network is one of the main power supply methods for the power supply subsystem. It lays cables from the power source on the ground (such as a substation, etc.) to underground, and transmits electrical energy to each electrical component of the system through the cables. The cables usually adopt special protective materials and structural designs to adapt to the complex underground geological conditions and harsh environments, such as moisture-proof, anti-corrosion, and anti-compression. It can provide stable and large-capacity power supply from the ground, meeting the high-power requirements of each subsystem in the system. Moreover, through cable power supply, relatively precise power distribution and management can be achieved, ensuring the stable power supply of each part of the system.

[0063] The power supply subsystem is equipped with a variety of high-performance energy storage devices, such as large-capacity lithium battery packs and supercapacitors. The lithium battery pack has the advantages of high energy density and long service life, and can store a large amount of electrical energy; the supercapacitor has the characteristics of fast charge and discharge speed and long cycle life, and can provide high-current power support in a short time. Under normal circumstances, the energy storage device is in the charging state, obtaining electrical energy through the underground cable power supply network or other power supply methods and storing it. When sudden situations such as temporary cable power supply failures or power outages occur, the energy storage device can quickly switch to the power supply mode, providing emergency power support for the system, ensuring that the system can continue to operate normally for a period of time. As a backup power source, the energy storage device can quickly respond in case of emergencies, guaranteeing the continuous operation of the system, and improving the reliability and stability of the system. At the same time, the maintenance of energy storage devices such as lithium battery packs and supercapacitors is relatively simple, and their service life is relatively long, reducing the maintenance cost of the system.

[0064] Wireless charging technology is based on principles such as electromagnetic induction and magnetic resonance, and realizes wireless power transmission through electromagnetic field coupling between the transmitting end and the receiving end. In the power supply subsystem, for some small devices such as sensors that are difficult to be powered by wired means, wireless charging can be used for charging. The transmitting end is installed at a suitable position, and the receiving end is integrated into devices such as sensors. When the device approaches the transmitting end, wireless charging can be achieved. It solves the power supply problems of some special positions or devices that are difficult to wire, and has the advantages of high flexibility and convenient installation. At the same time, wireless charging technology avoids problems such as wear and poor contact that may be brought by cable connections, and improves the reliability and service life of the device.

[0065] In order to better describe the intelligent pressure management system for carbon dioxide geological storage mentioned above, the following specific embodiments will be described in combination.

[0066] Embodiment 1: An intelligent pressure management system for carbon dioxide geological storage.

[0067] The installation and pressure management process of the intelligent pressure management system includes:

[0068] In the system installation stage, it is necessary to deeply analyze key information such as the structural characteristics, rock properties, and pore distribution of the geological reservoir based on a detailed geological exploration report of the target area, and accurately plan the installation positions and quantities of pressure sensors accordingly. With the help of professional downhole installation equipment, the pressure sensors are firmly installed in place and the communication lines are connected to complete the construction of the pressure monitoring subsystem. Subsequently, the data processing and analysis, intelligent regulation, communication and monitoring, visualization, and power supply subsystems are installed and connected in sequence, the communication links between the subsystems are constructed, and initialization settings are carried out according to the requirements of the storage project, covering setting the acquisition time interval of the pressure sensor (such as setting it to collect once every 2 minutes), relevant parameters of the prediction model in the data processing and analysis subsystem (such as the time step of time series prediction, the number of iterations of machine learning algorithms, etc.), regulation strategy parameters of the intelligent regulation subsystem (such as the proportional coefficient of flow regulation, the starting pressure threshold of the pressure relief device, etc.), and parameters such as the remote monitoring address and permissions of the communication and monitoring subsystem; at the same time, charge and discharge tests are carried out on the power supply subsystem to ensure its stable power supply.

[0069] After the system installation is completed, carry out the overall function debugging work, simulate different pressure change scenarios, check the collaborative work situation between the subsystems, verify whether functions such as pressure data acquisition, transmission, analysis, prediction, and regulation are normal, and promptly check and repair the problems that occur to ensure that the system can be officially put into use.

[0070] After the official start of carbon dioxide geological sequestration operations, the pressure monitoring subsystem continuously collects pressure data at preset time intervals. After receiving the data, the data processing and analysis subsystem performs operations such as data preprocessing and feature extraction, and combines the established pressure prediction model to analyze the pressure status and predict the trend. If during the operation, after analysis and processing, it is predicted that within the next few hours, the pressure in a certain reservoir area near the injection well will exceed the preset safety threshold due to continuous injection of carbon dioxide, a prompt message of high-pressure risk and a detailed pressure analysis report will be sent to the intelligent control subsystem immediately. After receiving the prompt, the intelligent control subsystem determines whether it is possible to first control the pressure by adjusting the carbon dioxide injection flow rate of the injection well according to the current actual pressure situation, the pressure change trend, and the preset control strategy. If it is found through evaluation that the high-pressure situation is relatively urgent and it is difficult to quickly relieve the pressure solely by flow rate adjustment, the pressure release device will be immediately activated, and the carbon dioxide in the reservoir will be released orderly according to the preset release pressure gradient, release volume threshold and other parameters until the pressure drops back to the safe range. If it is found through evaluation that the high-pressure situation can be relieved by flow rate adjustment, the intelligent control algorithm will be used to send instructions to the flow control equipment of the injection well to gradually reduce the injection flow rate, and at the same time closely monitor the pressure data transmitted in real time by the pressure monitoring subsystem to observe the pressure change situation. After preliminary control, if it is found that the upward pressure trend has not been effectively curbed, the pressure release device will be activated, and the carbon dioxide in the reservoir will be released orderly according to the preset release pressure gradient, release volume threshold and other parameters until the pressure drops back to the safe range; if it is found that the upward pressure trend has been effectively curbed but is still close to the safety threshold, the intelligent control subsystem will further adjust the control strategy and at the same time fine-tune the production flow rate of the production well to accelerate the pressure drop speed. After another round of coordinated control, the pressure gradually drops back to the safe threshold range. The intelligent control subsystem maintains the current flow stability state according to the real-time evaluation results to ensure the safe and orderly continuation of carbon dioxide geological sequestration operations.

[0071] Similar to the principle of the above embodiment, the present invention provides an intelligent pressure management method for carbon dioxide geological sequestration.

[0072] The following provides specific embodiments in conjunction with the accompanying drawings:

[0073] As Figure 5 Shows a schematic flow chart of an intelligent pressure management method for carbon dioxide geological sequestration in an embodiment of the present invention.

[0074] Applied to the intelligent pressure management system for carbon dioxide geological sequestration in the above embodiment, the method includes:

[0075] Step S1: Collect pressure data at key positions inside and around each geological reservoir in real time;

[0076] Step S2: Perform data preprocessing and feature extraction on the real-time collected pressure data, predict the reservoir pressure change trend within a specific future time period based on the constructed pressure prediction model, and generate high-risk related information when the predicted reservoir pressure change trend is too high;

[0077] Step S3: According to the preset regulation strategy, regulate the geological reservoir pressure by adjusting the flow rate of the carbon dioxide injection well or production well or by starting the pressure release device based on the high-risk related information, and dynamically adjust the regulation method based on the change of the pressure data during the regulation process.

[0078] Since the implementation principle of this intelligent pressure management method for carbon dioxide geological storage has been described in the foregoing embodiments, it will not be repeated here.

[0079] The intelligent pressure management system for carbon dioxide geological storage provided by the embodiments of the present invention can be implemented on the terminal side or the server side. In terms of the hardware structure of the electronic terminal, please refer to Figure 6 , which is an optional hardware structure schematic diagram of the electronic terminal 1000 provided by the embodiments of the present invention. The terminal 1000 can be a mobile phone, a computer device, a tablet device, a personal digital processing device, a factory background processing device, etc. The terminal 1000 includes: at least one processor 1001, a memory 1002, at least one network interface 10010, and a user interface 1009. Each component in the device is coupled together through a bus system 1005. It can be understood that the bus system 1005 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 1005 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, in Figure 6 all kinds of buses are labeled as the bus system.

[0080] Among them, the user interface 1009 can include a display, a keyboard, a mouse, a trackball, a click gun, a key, a button, a touchpad, or a touch screen, etc.

[0081] It can be understood that the memory 1002 can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM, Static Random Access Memory), synchronous static random access memory (SSRAM, Synchronous Static Random Access Memory). The memory described in the embodiments of the present invention is intended to include but not limited to these and any other suitable categories of memory.

[0082] The memory 1002 in the embodiments of the present invention is used to store various categories of data to support the operation of the terminal 1000. Examples of these data include: any executable program for operating on the terminal 1000, such as the operating system 10021 and the application program 10022; the operating system 10021 contains various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application program 10022 can include various application programs, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The intelligent pressure management system for carbon dioxide geological storage provided by the embodiments of the present invention can be included in the application program 10022.

[0083] The method disclosed in the embodiments of the present invention above can be applied to the processor 1001 or implemented by the processor 1001. The processor 1001 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor 1001 or by instructions in software form. The above-mentioned processor 1001 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 1001 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor 1001 may be a microprocessor or any conventional processor, etc. Combining the steps of the accessory optimization method provided in the embodiments of the present invention can be directly embodied as being completed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, and this storage medium is located in the memory. The processor reads the information in the memory and combines its hardware to complete the steps of the foregoing method.

[0084] In an exemplary embodiment, the terminal 1000 may be an application-specific integrated circuit (ASIC), a DSP, a programmable logic device (PLD), or a complex programmable logic device (CPLD) for executing the foregoing method.

[0085] Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by hardware related to a computer program. The foregoing computer program may be stored in a computer-readable storage medium. When this program is executed, it executes the steps including those of the above method embodiments; and the foregoing storage medium includes various media that can store program codes, such as ROM, RAM, magnetic disks, or optical discs.

[0086] In the embodiments provided by the present application, the computer-readable and writable storage medium may include a read-only memory, a random access memory, an EEPROM, a CD-ROM, or other optical disc storage devices, a magnetic disk storage device, or other magnetic storage devices, a flash memory, a USB flash drive, a mobile hard disk, or any other medium that can be used to store the desired program code in the form of instructions or data structures and can be accessed by a computer. Additionally, any connection can be appropriately referred to as a computer-readable medium. For example, if the instructions are sent from a website, a server, or other remote sources using coaxial cables, fiber optic cables, twisted pairs, digital subscriber lines (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cables, fiber optic cables, twisted pairs, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. However, it should be understood that computer-readable and writable storage media and data storage media do not include connections, carrier waves, signals, or other transient media, but are intended to refer to non-transient, tangible storage media. As used in the application, magnetic disks and optical discs include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs, where magnetic disks typically replicate data magnetically, while optical discs optically replicate data using lasers.

[0087] The present invention has the following advantages compared with the prior art:

[0088] 1. Achieve high-precision pressure monitoring and accurate prediction

[0089] With high-precision pressure sensors and advanced data processing and analysis technologies, it is possible to accurately obtain the real-time pressure conditions at different positions within the geological reservoir, and by combining multi-source data and powerful prediction models, accurately predict in advance the possible overpressure conditions, effectively avoiding the risks of carbon dioxide leakage and geological disasters caused by inaccurate monitoring and prediction.

[0090] 2. Provide intelligent and flexible regulation strategies

[0091] The intelligent regulation subsystem adopts a combination of multiple regulation means, and can flexibly select and accurately implement corresponding regulation measures according to different overpressure scenarios and the dynamic changes of the actual reservoir pressure, avoiding the limitations of traditional single regulation methods, greatly improving the ability to respond to complex pressure changes, and ensuring the safe and stable progress of carbon dioxide geological sequestration operations.

[0092] 3. Have intuitive and efficient visualization

[0093] Complex pressure data and regulation processes can be presented in an intuitive and easy-to-understand graphical manner. Operators no longer need to analyze the system operation status from complex data reports, and can directly and quickly grasp the key information of the geological reservoir pressure and the system regulation process, greatly improving the cognitive efficiency of the system state and reducing operation errors caused by difficult data understanding. At the same time, in the face of complex pressure changes and regulation decisions, the information presented visually can provide more comprehensive references for operators, helping them judge the situation more accurately and formulate more reasonable regulation strategies, further ensuring the safety and effectiveness of carbon dioxide geological storage operations. In addition, the visualization subsystem makes the operation process of the entire pressure management system more transparent, facilitating project managers and relevant researchers to evaluate and optimize the system performance, and promoting the continuous improvement and development of the system.

[0094] In summary, the intelligent pressure management system, method, and terminal for carbon dioxide geological storage of the present invention collect pressure data at key positions inside and around each geological reservoir in real time through the pressure monitoring subsystem, and then the data processing and analysis subsystem performs data preprocessing and feature extraction, and predicts the change trend of the reservoir pressure in a specific future time period. If the predicted reservoir pressure change trend is too high, the high-risk related information is transmitted to the intelligent regulation subsystem, which regulates the reservoir pressure by adjusting the flow rates of carbon dioxide injection wells and production wells or starting the pressure release device according to the preset strategy, and dynamically adjusts the regulation method according to the pressure data. At the same time, the communication and monitoring subsystem transmits the system operation data to the remote monitoring terminal in real time for real-time monitoring. The present invention realizes real-time, accurate, and automatic regulation of the geological reservoir pressure, ensures the stability and safety of the geological reservoir during the carbon dioxide injection process, improves the effect of carbon dioxide geological storage, and avoids various adverse consequences caused by excessive pressure. The present invention realizes real-time, accurate, and automatic regulation of the geological reservoir pressure, ensures the stability and safety of the geological reservoir during the carbon dioxide injection process, improves the effect of carbon dioxide geological storage, and avoids various adverse consequences caused by excessive pressure. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0095] The above embodiments are only used to exemplarily illustrate the principles and effects of the present invention, and are not used to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. An intelligent pressure management system for geological storage of carbon dioxide, characterized in that: The system includes: a pressure monitoring subsystem, a data processing and analysis subsystem, an intelligent control subsystem, and a communication and monitoring subsystem; The pressure monitoring subsystem is connected to the data processing and analysis subsystem in communication, and includes: a plurality of pressure sensors arranged at key positions inside and around the geological reservoir, for collecting pressure data of each point in real time, and transmitting the data to the data processing and analysis subsystem; The data processing and analysis subsystem is in communication connection with the intelligent control subsystem, and is used to perform data preprocessing and feature extraction on the pressure data collected in real time, and predict the reservoir pressure change trend in a specific time period in the future, and transmit high-risk related information to the intelligent control subsystem when the predicted reservoir pressure change trend is too high; The intelligent control subsystem is used to control the geological reservoir pressure by adjusting the flow rate of the carbon dioxide injection well or the production well or starting the pressure release device to adjust the pressure according to the preset control strategy when receiving high-risk related information, and dynamically adjust the control method based on the change of pressure data during the control process; The communication and monitoring subsystem is connected to each subsystem and is used to transmit system operation data to the remote monitoring terminal in real time to monitor the system operation status.

2. The intelligent pressure management system for geological storage of carbon dioxide according to claim 1, characterized in that: Each pressure sensor in the pressure monitoring subsystem is used to collect pressure data at a preset time interval, and simultaneously record the corresponding collection timestamp and the position coordinates of the pressure sensor.

3. The intelligent pressure management system for geological storage of carbon dioxide according to claim 1, characterized in that: The data processing and analysis subsystem includes: A data preprocessing unit, used for preprocessing the pressure data collected in real time; A data analysis unit, connected to the data preprocessing unit, is used to extract the temporal and spatial characteristics of the preprocessed pressure data, and obtain the reservoir pressure change trend within a specific future time period based on the constructed pressure prediction model; A risk judgment unit, connected to the data analysis unit, for judging whether the reservoir pressure change trend exceeds a preset safety threshold, and generating high-risk warning information and pressure analysis information when the safety threshold is exceeded; A data transmission unit is connected to the risk judgment unit and is used to transmit high-risk warning information and stress analysis information to the intelligent control subsystem.

4. The intelligent pressure management system for geological storage of carbon dioxide according to claim 3, characterized in that: The data analysis unit comprises: The spatiotemporal feature extraction subunit is used to extract the features of the preprocessed pressure data in the temporal and spatial dimensions based on a machine learning algorithm; A prediction model building subunit, connected to the spatiotemporal feature extraction subunit, is used to build a pressure prediction model based on the extracted features in time and space dimensions, combined with rock mechanical parameters and pore structure characteristics of the geological reservoir and existing historical data of carbon dioxide injection; The pressure prediction subunit is connected to the spatiotemporal feature extraction subunit and the prediction model construction subunit, and is used to perform pressure state analysis and trend prediction based on the constructed pressure prediction model according to the extracted features in the time and space dimensions to obtain the reservoir pressure change trend in a specific time period in the future.

5. The intelligent pressure management system for geological storage of carbon dioxide according to claim 2, characterized in that: The control strategies include: Determine whether the current excessive stress situation is urgent based on the received high-risk related information; If it is not urgent, the intelligent control algorithm is used to send control instructions to the flow control equipment of the injection well and the production well to adjust the flow of the carbon dioxide injection well and the production well, and during the adjustment process, the control effect is evaluated according to the reservoir pressure change trend fed back by the data processing and analysis subsystem in real time, and the control method is dynamically adjusted; In case of emergency, the pressure release device will be activated to release the carbon dioxide in the reservoir in an orderly manner according to the pre-set pressure release parameters.

6. The intelligent pressure management system for geological storage of carbon dioxide according to claim 5, characterized in that: The dynamic adjustment and control methods according to the reservoir pressure change trend fed back in real time by the data processing and analysis subsystem include: Judging whether the pressure increase trend is effectively controlled during the adjustment process according to the reservoir pressure change trend fed back in real time by the data processing and analysis subsystem; If it is effectively controlled, the flow rate regulation range of the carbon dioxide injection well or production well is dynamically adjusted according to the pressure change trend; If it is not effectively controlled, the pressure release device will be activated to release the carbon dioxide in the reservoir in an orderly manner according to the pre-set pressure release parameters.

7. The intelligent pressure management system for geological storage of carbon dioxide according to claim 1, characterized in that: The system further comprises: The visualization subsystem is communicatively connected with the data processing and analysis subsystem and the intelligent control subsystem, and is used to generate visualization data of pressure distribution of geological reservoirs, visualization data of pressure dynamic changes, and visualization data of operation of control mechanisms, and sends the data to the remote monitoring terminal through the communication and monitoring subsystem, so as to display the key information of geological reservoir pressure and the control process in a graphical manner on the remote monitoring terminal.

8. The intelligent pressure management system for geological storage of carbon dioxide according to claim 1, characterized in that: The system further comprises: The power supply subsystem is communicated with each subsystem and is used to adopt a redundant design and combine multiple power supply methods to power the system; among them, the multiple power supply methods include: underground cable power supply, energy storage device power supply and wireless charging.

9. An intelligent pressure management method for geological storage of carbon dioxide, characterized in that: An intelligent pressure management system for geological storage of carbon dioxide as claimed in any one of claims 1 to 8, the method comprising: Real-time collection of pressure data at key locations inside and around each geological reservoir; Perform data preprocessing and feature extraction on the real-time collected pressure data, and predict the reservoir pressure change trend in a specific time period in the future, and generate high-risk related information when the predicted reservoir pressure change trend is too high; According to the preset control strategy, the geological reservoir pressure is controlled by adjusting the flow of the carbon dioxide injection well or the production well or starting the pressure release device according to the high-risk related information, and the control method is dynamically adjusted based on the changes in pressure data during the control process.

10. An electronic terminal, characterized in that: include: one or more memories and one or more processors; The one or more memories are used to store computer programs; The one or more processors, connected to the memory, are configured to run the computer program to perform the method as claimed in any one of claims 1 to 8.

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