Geothermal well recharging water quality monitoring method and system

Abstract

The present application relates to the technical field of data processing, and more particularly to a geothermal well recharge water quality monitoring method and system. The method comprises the steps of: collecting various data in the geothermal recharge well, obtaining the potential scaling risk of the environmental working condition of the geothermal well at the current time; obtaining the potential plugging potential of the fluid dynamics of the geothermal well at the current time; based on the potential scaling risk of the environmental working condition and the potential plugging potential of the fluid dynamics, obtaining the comprehensive plugging potential of the geothermal well at the current time; based on the predicted turbidity of the geothermal well, obtaining the recharge flow rate that needs to be shunted to the precision filtration system at the current time and adjusting the electric regulating valve and bypass pump on the recharge pipeline, the present application realizes the advanced identification and active regulation of the plugging risk before the water quality deteriorates, and prolongs the service life of the geothermal well.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and system for monitoring the water quality of geothermal well reinjection. Background Technology

[0002] Geothermal reinjection is a key technology for ensuring pressure balance in geothermal fields, reducing environmental pollution, and achieving sustainable utilization of geothermal resources. During the reinjection process, the quality of the reinjection water (such as suspended solids content and mineralization) directly affects the service life and reinjection capacity of the reinjection well. If the reinjection water quality does not meet the standards, it can easily cause physical blockage or chemical scaling in the reinjection well, leading to increased reinjection pressure, decreased reinjection volume, and even the abandonment of the geothermal well.

[0003] Currently, water quality monitoring for geothermal well reinjection mainly involves installing turbidity meters in the geothermal reinjection wells. Monitoring data is obtained using turbidity meters and other equipment, and the real-time monitoring data is compared with preset thresholds. Only when abnormal conditions such as excessive turbidity occur will maintenance and treatment measures such as backwashing, side-flow filtration, and chemical dosing be automatically or manually initiated to reduce the risk of blockage of reinjection wells due to suspended solids deposition and mineral scaling.

[0004] However, this traditional feedback control method has obvious lag. Physical blockage of reinjection wells or scaling of geothermal fluids is a complex process that is dynamically affected by injection water temperature data, reinjection pressure data, and reinjection flow data. For example, drastic fluctuations in water temperature may cause changes in mineral solubility, resulting in the precipitation of scale. Pulsations in reinjection flow may cause sediments in the pipeline to become suspended. Relying solely on the turbidity data at the current moment cannot predict the risk of rapid water quality deterioration that will occur under the current high load or specific temperature and pressure conditions. As a result, reinjection wells are often only treated after slight blockage has already occurred, which greatly increases the operation and maintenance costs and the difficulty of well repair. Summary of the Invention

[0005] To address the technical problem that traditional turbidity data monitoring methods cannot predict the potential for blockage caused by the dynamic coupling of water temperature, pressure, and flow rate, resulting in significant lag and often leading to minor blockages in reinjection wells before they are addressed, this invention provides a geothermal well reinjection water quality monitoring method and system.

[0006] In a first aspect, the present invention provides a method for monitoring the quality of geothermal well reinjection water, employing the following technical solution:

[0007] A method for monitoring the quality of reinjection water from geothermal wells, comprising the following steps:

[0008] Collect various data from geothermal reinjection wells, including reinjection water temperature data, turbidity data, reinjection pressure data, and reinjection flow rate data;

[0009] Based on the drastic changes in historical reinjection water temperature data and historical reinjection pressure data, the potential scaling risk of the geothermal well under the current environmental conditions is obtained; based on the fluctuation range of historical reinjection flow data and the degree to which historical reinjection flow data deviates from the optimal reinjection flow data, the hydrodynamic blockage potential of the geothermal well under the current conditions is obtained; based on the aforementioned potential scaling risk under environmental conditions and hydrodynamic blockage potential, the comprehensive blockage potential of the geothermal well under the current conditions is obtained.

[0010] Based on the comprehensive potential for blockage and the current turbidity data, the predicted turbidity of the geothermal well is obtained; based on the deviation between the predicted turbidity of the geothermal well and the ideal reinjection water turbidity allowed by the geothermal well, the reinjection flow rate that needs to be diverted to the precision filtration system at the current moment is obtained.

[0011] The electric regulating valve and bypass pump on the reinjection pipeline are adjusted according to the reinjection flow rate to achieve precise diversion, filtration and convergence of the reinjection flow rate.

[0012] The innovation of this invention lies in obtaining the comprehensive blockage potential of a geothermal well at the current moment based on the potential scaling risk under environmental conditions and the potential for blockage caused by hydrodynamics, thus achieving a quantitative characterization of the latent scaling risk of geothermal wells. Next, based on the comprehensive blockage potential and the turbidity data at the current moment, the predicted turbidity of the geothermal well is obtained. Based on the deviation between the predicted turbidity of the geothermal well and the ideal allowable reinjection water turbidity, the reinjection flow rate that needs to be diverted to the precision filtration system at the current moment is obtained. This significantly improves the proactiveness of risk identification, enabling pretreatment of water quality before the turbidity sensor detects changes in water quality, avoiding physical blockage or chemical scaling in the reinjection well, and extending the service life of the geothermal well.

[0013] Preferably, the acquisition of the potential scaling risk of the geothermal well under the current environmental conditions includes:

[0014] In the formula, This represents the potential scaling risk of a geothermal well under the current environmental conditions. This represents the number of historical moments at the current moment. Reinjection water temperature data representing the nth historical moment from the current moment; Reinjection water temperature data representing the (n-1)th historical moment of the current moment; The importance of the instantaneous temperature difference representing the nth historical moment from the current moment; This represents the minimum value of reinjection pressure data across all historical moments at the current moment. The saturated vapor pressure represents the current reinjection water temperature data; exp() represents an exponential function with the natural constant as the base.

[0015] Based on the differences in reinjection water temperature and reinjection pressure data, the potential scaling risk of geothermal wells under the current environmental conditions can be quantified, and the scaling risk at that time can be accurately assessed.

[0016] Preferably, obtaining the importance of the instantaneous temperature difference at the nth historical moment at the current moment includes:

[0017] When the value is negative, the importance of the instantaneous temperature difference at the nth historical moment is 1. When the value is positive, the importance of the instantaneous temperature difference at the nth historical moment is 0. Reinjection water temperature data representing the nth historical moment from the current moment; This represents the recharge water temperature data for the (n-1)th historical moment at the current time.

[0018] Preferably, obtaining the hydrodynamic potential for blockage of the geothermal well at the current moment includes:

[0019] ;

[0020] In the formula, This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. Represents the maximum value among all historical injection flow data at the current moment; This represents the minimum value among all historical data points related to the backflow at the current moment. This represents the average of the backflow flow data across all historical moments at the current moment. Kuness represents the kurtosis of the backfeed flow data sequence across all historical moments at the current moment; This represents the system's preset optimal reinjection flow rate; || represents the absolute value symbol. This represents the weighting coefficient.

[0021] It identifies the risk of old scale being stripped by water flow shear force and accurately assesses the risk of secondary blockage caused by dynamic fluctuations.

[0022] Preferably, obtaining the comprehensive potential for blockage of the geothermal well at the current moment includes:

[0023] ;

[0024] In the formula, This represents the overall potential for blockage of a geothermal well at the current moment; This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. This represents the potential scaling risk of a geothermal well under the current environmental conditions.

[0025] Preferably, obtaining the predicted turbidity of the geothermal well includes:

[0026] ;

[0027] In the formula, The predicted turbidity of a geothermal well; This represents the overall potential for blockage of a geothermal well at the current moment; Turbidity data representing the current moment; Turbidity data representing the previous time step in the current time step; This represents the predicted time span.

[0028] It can more accurately predict water turbidity in the future, enabling the system to treat water quality changes in advance.

[0029] Preferably, obtaining the current flow rate that needs to be diverted to the precision filtration system includes:

[0030] ;

[0031] In the formula, This represents the current flow rate that needs to be diverted to the precision filtration system. Reinjection flow data representing the current moment; The predicted turbidity of a geothermal well; The value represents the ideal turbidity of the reinjection water from the geothermal well; max() represents the maximum value function. This represents the logarithmic function.

[0032] Based on turbidity data at future moments, the current recharge flow rate that needs to be diverted to the precision filtration system can be obtained, enabling the system to address the risk of scaling in the water in the future.

[0033] Preferably, the step of adjusting the electric regulating valve and bypass pump on the reinjection pipeline according to the reinjection flow rate to achieve precise diversion, filtration, and convergence reinjection of the reinjection flow rate includes:

[0034] The control system controls the electric regulating valve and bypass pump on the reinjection pipeline to accurately divert the reinjection flow that needs to be diverted to the precision filtration system for filtration, while the remaining part is kept directly injected, and the filtered clean water is combined with the main pipeline water and discharged into the well.

[0035] Preferably, the acquisition of the historical moment of the current moment includes:

[0036] The preset number of timestamps is M. The current time and the M timestamps preceding it are used as the historical timestamps of the current time.

[0037] Secondly, this invention provides a geothermal well reinjection water quality monitoring system, which adopts the following technical solution:

[0038] A geothermal well reinjection water quality monitoring system includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the aforementioned geothermal well reinjection water quality monitoring method is implemented.

[0039] By adopting the above technical solution, a computer program for monitoring the water quality of geothermal well reinjection is generated and stored in a memory so that it can be loaded and executed by a processor. A terminal device can then be made based on the memory and processor for convenient use.

[0040] This invention has the following technical effects: Based on the potential scaling risk under environmental conditions and the potential for blockage caused by hydrodynamics, this invention obtains the comprehensive blockage potential of geothermal wells, realizing a quantitative characterization of the latent scaling risk of geothermal wells; then, based on the comprehensive blockage potential and current turbidity data, it predicts the water turbidity of the geothermal well at future times, and based on the deviation between the predicted turbidity of the geothermal well and the ideal allowable reinjection water turbidity, it obtains the current reinjection flow rate that needs to be diverted to the precision filtration system, and accurately diverts the current reinjection flow rate to the precision filtration system for filtration, significantly improving the proactiveness of risk identification. It can pre-treat the water quality before the turbidity sensor detects changes in water quality, avoiding physical blockage or chemical scaling of the reinjection well, and improving the service life of the geothermal well. Attached Figure Description

[0041] Figure 1 This is a flowchart of a geothermal well reinjection water quality monitoring method according to an embodiment of the present invention;

[0042] Figure 2 This diagram illustrates a comparison of the water quality monitoring effects of the present invention and existing technologies. Detailed Implementation

[0043] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0044] This invention discloses a method for monitoring the reinjection water quality of geothermal wells, referring to... Figure 1 This includes steps S1-S4:

[0045] S1: Collect various data from geothermal reinjection wells.

[0046] In this embodiment of the invention, a temperature sensor and an online turbidity meter are installed in the geothermal reinjection well, and a pressure transmitter and an electromagnetic flow meter are installed on the reinjection pipeline of the geothermal reinjection well.

[0047] The preset sampling frequency is 10 seconds / time. The installed temperature sensor collects the recharge water temperature data at each moment in real time; the online turbidity meter collects the turbidity data at each moment; and the pressure transmitter and electromagnetic flow meter collect the recharge pressure data and recharge flow data at each moment.

[0048] It should be noted that the recharge water temperature data, turbidity data, recharge pressure data, and recharge flow rate data at each time point correspond in time sequence.

[0049] S2: Based on the drastic changes in historical reinjection water temperature data and historical reinjection pressure data, obtain the potential scaling risk of the geothermal well under the current environmental conditions; based on the fluctuation characteristics and deviation of historical reinjection flow data, obtain the hydrodynamic blockage potential of the geothermal well under the current conditions; based on the potential scaling risk under the environmental conditions and the hydrodynamic blockage potential, obtain the comprehensive blockage potential of the geothermal well under the current conditions.

[0050] It should be noted that the solubility of scale-forming minerals such as silicates and carbonates in geothermal fluids is highly sensitive to temperature. Therefore, a sudden drop in reinjection temperature will directly reduce the solubility of these minerals, causing them to accelerate scaling from a supersaturated state. Furthermore, for a fluid (such as geothermal fluid) at a certain reinjection temperature, whether it can remain liquid depends on whether the reinjection flow rate and pressure are higher than the saturated vapor pressure corresponding to that temperature (i.e., the saturated vapor pressure corresponding to the current reinjection water temperature data). If the reinjection flow rate and pressure are higher than the saturated vapor pressure, the fluid remains liquid. If the reinjection flow rate and pressure drop to equal to or lower than the saturated vapor pressure, a large number of bubbles will be generated instantly in the fluid, and the liquid will rapidly vaporize, disrupting the balance of dissolved gases in the fluid, leading to an increase in pH and accelerating scaling. Therefore, this invention combines the rapid temperature drop with pressure fluctuations to quantify the potential scaling risk of geothermal wells under the current environmental conditions. This allows for the assessment of the impact of the current environment on water quality scaling, facilitating early risk prediction and warning before water quality deteriorates or blockage occurs.

[0051] In this embodiment of the invention, the preset number of times M = 20. In other embodiments, the implementer may preset the value of the number of times M according to the specific implementation situation, and take the current time and the M times before it as the historical time of the current time.

[0052] Obtain the potential scaling risk of the geothermal well under the current environmental conditions:

[0053] ;

[0054] In the formula, This represents the potential scaling risk of a geothermal well under the current environmental conditions. This represents the number of historical moments at the current moment. Reinjection water temperature data representing the nth historical moment from the current moment; Reinjection water temperature data representing the (n-1)th historical moment of the current moment; The importance of the instantaneous temperature difference representing the nth historical moment from the current moment; This represents the minimum value of reinjection pressure data across all historical moments at the current moment. The saturated vapor pressure corresponding to the current reinjection water temperature data;

[0055] Since only cooling leads to a decrease in mineral solubility, resulting in precipitation and scaling, heating typically does not pose this risk. When the value is negative, the importance of the instantaneous temperature difference at the nth historical moment is 1; otherwise, it is 0, with the focus on the temperature difference during cooling. The larger the value, the more likely it is that the reinjection water temperature data in the historical time of the current moment has cooled down, which may induce the risk of scaling.

[0056] The larger the value, the more likely it is that the liquid vaporization caused by the reinjection pressure data being lower than the saturated vapor pressure corresponding to the current reinjection water temperature data will disrupt the balance of dissolved gases in the fluid, further promoting the scaling reaction of minerals such as carbonates.

[0057] It should be noted that when the flow rate fluctuates significantly or there are extreme abrupt changes, the shear force of the water flow will strip away the aging scale layer attached to the inner wall of the pipe and loosen the deposited particles in the pores of the formation. These stripped impurities will migrate with the water flow and accumulate in narrow flow channels (such as well screens and formation seepage channels), forming secondary blockages. Furthermore, if the flow rate is much lower than the optimal value, the water flow's scale-carrying capacity is insufficient, and the scale is easy to settle and accumulate. If the flow rate is much higher than the optimal value, strong scouring will damage the filter layer or pipe wall protective layer, causing scale stripping and new deposition. Both of these will exacerbate the risk of blockage. Therefore, this invention obtains the hydrodynamic blockage potential of the geothermal well at the current moment based on the characteristics of flow fluctuation and the degree of flow deviation.

[0058] In this embodiment of the invention, the hydrodynamic potential for blockage of the geothermal well at the current moment is obtained:

[0059] ;

[0060] In the formula, This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. Represents the maximum value among all historical injection flow data at the current moment; This represents the minimum value among all historical data points related to the backflow at the current moment. This represents the average of the backflow flow data across all historical moments at the current moment. Kurtosis represents the kurtosis of the refeed flow data sequence at all historical moments in the current moment. Kurtosis is used to keenly detect whether there are extreme data mutations in the refeed flow data. This represents the system's preset optimal reinjection flow rate; || represents the absolute value symbol. Representing weighting coefficients, in this embodiment of the invention, a preset weighting coefficient is used. This is used to balance the fluctuation range of reinjection flow data and the impact of data mutations, and is preset. In other embodiments, implementers may pre-set according to specific implementation conditions. The value of .

[0061] It should be noted that the kurtosis of the recharge flow data sequence of all historical moments at the current moment is obtained by statistical calculation of the fourth-order central moments. The statistical calculation of kurtosis by the fourth-order central moments is an existing technology, and will not be described in detail in this embodiment of the invention.

[0062] This represents the fluctuation range of the reinjection flow data; Reflecting data abrupt changes in recharge flow data, The larger the value, the greater the fluctuation of the reinjection flow, which may peel off the old scale layer that originally adhered to the inner wall of the pipe, causing pollution;

[0063] The larger the value, the greater the deviation of the current reinjection flow rate from the optimal flow rate. Scale in the reinjection well may settle or the aging scale layer originally attached to the inner wall of the pipeline may be washed away, both of which are not conducive to stable reinjection.

[0064] It should be noted that this invention combines the hydrodynamic potential for blockage of the geothermal well at the current moment with the potential scaling risk of the geothermal well under the current environmental conditions to obtain the comprehensive potential for blockage of the geothermal well at the current moment.

[0065] Obtain the comprehensive potential for blockage of the geothermal well at the current moment:

[0066] ;

[0067] In the formula, This represents the overall potential for blockage of a geothermal well at the current moment; This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. This represents the potential scaling risk of a geothermal well under the current environmental conditions.

[0068] S3: Based on the comprehensive potential for blockage of the geothermal well at the current moment and the turbidity data at the current moment, obtain the predicted turbidity of the geothermal well; based on the deviation between the predicted turbidity of the geothermal well and the ideal reinjection water turbidity allowed by the geothermal well, obtain the reinjection flow rate that needs to be diverted to the precision filtration system at the current moment.

[0069] It should be noted that the turbidity data read by the sensor at the current moment is often only a superficial observation and cannot reflect the explosive scaling or blockage that may occur in the future. Therefore, this invention needs to obtain the predicted turbidity of the geothermal well based on the comprehensive blockage potential of the geothermal well at the current moment and the turbidity data at the current moment.

[0070] In this embodiment of the invention, the predicted turbidity of the geothermal well is obtained:

[0071] ;

[0072] In the formula, The predicted turbidity of a geothermal well; This represents the overall potential for blockage of a geothermal well at the current moment; Turbidity data representing the current moment; Turbidity data representing the previous time step in the current time step; Representing the predicted time span, in this embodiment of the invention, a preset... In other embodiments, implementers may pre-determine specific implementation methods. The value represents the prediction. Turbidity after each sampling time;

[0073] The greater the overall potential for blockage in a geothermal well at the current moment, the more likely it is to experience explosive scaling or blockage in the well in the future. The larger the value, the better;

[0074] A positive value indicates that the water in the geothermal well is becoming increasingly turbid; therefore, the higher the predicted turbidity of the geothermal well at the current moment, the better. A negative value indicates that the water in the geothermal well is becoming clearer, therefore the lower the predicted turbidity of the geothermal well at the current moment.

[0075] It should be noted that, based on the deviation between the predicted turbidity of the geothermal well and the ideal reinjection water turbidity allowed by the geothermal well, the reinjection flow rate that requires precise filtration is dynamically allocated, so as to achieve adaptive water quality control with a higher filtration and diversion ratio as the water quality risk increases.

[0076] In this embodiment of the invention, the current backflow rate that needs to be diverted to the precision filtration system is obtained:

[0077] ;

[0078] In the formula, This represents the current flow rate that needs to be diverted to the precision filtration system. Reinjection flow data representing the current moment; The predicted turbidity of a geothermal well; This represents the ideal turbidity of the reinjection water allowed by the geothermal well; max() represents the maximum value function, ensuring that the value of the input logarithmic function is not less than 1; Represents the logarithmic function;

[0079] When the value is greater than 1, it indicates that the water quality does not meet the standards and filtration is required. The closer it is to 0, The closer the value is to 1, the more the reinjected water needs to be diverted to the precision filtration system to achieve full purification of the substandard water quality;

[0080] When the value is less than or equal to 1, it indicates that the turbidity of the water in the geothermal well meets the standard. The closer it is to 1, The closer the value is to 0, the less need there is for diversion and filtration; all the reinjected water can be directly injected, which meets the water quality control requirements.

[0081] S4: Adjust the electric regulating valve and bypass pump on the recharge pipeline according to the recharge flow rate that needs to be diverted to the precision filtration system at the current moment, so as to achieve precise diversion filtration and recharge of the recharge flow rate.

[0082] It should be noted that, based on the diversion requirements due to water quality risks, the precise diversion and filtration of the reinjection flow and the combined reinjection are achieved through the coordinated control of the electric regulating valve and the bypass pump, ensuring the safety of the reinjection water quality while maintaining a stable total reinjection volume.

[0083] In this embodiment of the invention, the control system controls the electric regulating valve and bypass pump on the reinjection pipeline to accurately divert the reinjection flow that needs to be diverted to the precision filtration system at the current moment to the precision filtration system for filtration, while the remaining part is kept directly injected, and the filtered clean water is merged with the main pipeline water into the well.

[0084] It should be noted that the bypass pump is used to extract the reinjection flow that needs to be filtered in the reinjection pipeline, and the electric regulating valve is used to precisely control the direct injection flow in the reinjection pipeline.

[0085] Figure 2The diagram illustrates a comparison of the water quality monitoring effects of this invention and existing technologies. In the existing technology, when physical blockage or chemical scaling occurs in the reinjection well, the control coefficient only intervenes when the turbidity exceeds the trigger threshold, exhibiting significant lag. In contrast, the turbidity curve of this invention, after dynamic adjustment, shows an increase but remains strictly below the trigger threshold. This demonstrates that the system intervenes before the turbidity reaches the threshold and increases the diversion filtration ratio, keeping the turbidity within the ideal range. The water quality curve smoothly suppresses this turbidity. Furthermore, this invention diverts water to a precision filtration system for treatment when the turbidity increases but does not trigger the threshold.

[0086] This invention also discloses a geothermal well reinjection water quality monitoring system, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement a geothermal well reinjection water quality monitoring method provided by this invention.

[0087] The system also includes other components well-known to those skilled in the art, such as communication buses and communication interfaces, the setup and functions of which are known in the art and will not be described in detail here. In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0088] The above are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for monitoring the quality of reinjection water from geothermal wells, characterized in that, include: Collect various data from geothermal reinjection wells, including reinjection water temperature data, turbidity data, reinjection pressure data, and reinjection flow rate data; Based on the drastic changes in historical reinjection water temperature data and historical reinjection pressure data, the potential scaling risk of the geothermal well under the current environmental conditions is obtained; based on the fluctuation range of historical reinjection flow data and the degree to which historical reinjection flow data deviates from the optimal reinjection flow data, the hydrodynamic blockage potential of the geothermal well under the current conditions is obtained; based on the aforementioned potential scaling risk under environmental conditions and hydrodynamic blockage potential, the comprehensive blockage potential of the geothermal well under the current conditions is obtained. Based on the comprehensive potential for blockage and the current turbidity data, the predicted turbidity of the geothermal well is obtained; Based on the deviation between the predicted turbidity of the geothermal well and the ideal reinjection water turbidity allowed by the geothermal well, the reinjection flow rate that needs to be diverted to the precision filtration system at the current moment is obtained. The electric regulating valve and bypass pump on the reinjection pipeline are adjusted according to the reinjection flow rate to achieve precise diversion, filtration and convergence of the reinjection flow rate. The acquisition of the hydrodynamic potential for blockage of the geothermal well at the current moment includes: In the formula, This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. Represents the maximum value among all historical injection flow data at the current moment; This represents the minimum value among all historical data points related to the backflow at the current moment. This represents the average of the backflow flow data across all historical moments at the current moment. Kuness represents the kurtosis of the backfeed flow data sequence across all historical moments at the current moment; This represents the system's preset optimal reinjection flow rate; || represents the absolute value symbol. Represents the weighting coefficient; The method of adjusting the electric regulating valve and bypass pump on the reinjection pipeline according to the reinjection flow to achieve precise diversion and filtration of the reinjection flow and convergence reinjection includes: the control system controls the electric regulating valve and bypass pump on the reinjection pipeline to accurately divert the reinjection flow that needs to be diverted to the precision filtration system at the current moment to the precision filtration system for filtration, while the remaining part is kept directly injected, and the filtered clean water is merged with the main pipeline water into the well.

2. The method for monitoring the reinjection water quality of a geothermal well according to claim 1, characterized in that, The potential scaling risk of the geothermal well under the current environmental conditions includes: In the formula, This represents the potential scaling risk of a geothermal well under the current environmental conditions. This represents the number of historical moments at the current moment. Reinjection water temperature data representing the nth historical moment from the current moment; Reinjection water temperature data representing the (n-1)th historical moment of the current moment; The importance of the instantaneous temperature difference representing the nth historical moment from the current moment; This represents the minimum value of reinjection pressure data across all historical moments at the current moment. The saturated vapor pressure represents the current reinjection water temperature data; exp() represents an exponential function with the natural constant as the base.

3. The method for monitoring the reinjection water quality of a geothermal well according to claim 2, characterized in that, The acquisition of the importance of the instantaneous temperature difference at the nth historical moment at the current moment includes: When the value is negative, the importance of the instantaneous temperature difference at the nth historical moment is 1. When the value is positive, the importance of the instantaneous temperature difference at the nth historical moment is 0. Reinjection water temperature data representing the nth historical moment from the current moment; This represents the recharge water temperature data for the (n-1)th historical moment at the current time.

4. The method for monitoring the reinjection water quality of a geothermal well according to claim 2, characterized in that, The acquisition of the comprehensive potential for blockage of the geothermal well at the current moment includes: ； In the formula, This represents the overall potential for blockage of a geothermal well at the current moment; This represents the hydrodynamic potential for blockage of a geothermal well at the current moment. This represents the potential scaling risk of a geothermal well under the current environmental conditions.

5. The method for monitoring the reinjection water quality of a geothermal well according to claim 4, characterized in that, The method of obtaining the predicted turbidity of the geothermal well includes: ； In the formula, The predicted turbidity of a geothermal well; This represents the overall potential for blockage of a geothermal well at the current moment; Turbidity data representing the current moment; Turbidity data representing the previous time step in the current time step; This represents the predicted time span.

6. The method for monitoring the reinjection water quality of a geothermal well according to claim 5, characterized in that, The process of obtaining the current backflow rate that needs to be diverted to the precision filtration system includes: ； In the formula, This represents the current flow rate that needs to be diverted to the precision filtration system. Reinjection flow data representing the current moment; The predicted turbidity of a geothermal well; The value represents the ideal turbidity of the reinjection water from the geothermal well; max() represents the maximum value function. This represents the logarithmic function.

7. The method for monitoring the reinjection water quality of a geothermal well according to claim 2, characterized in that, The acquisition of historical moments at the current moment includes: The preset number of timestamps is M. The current time and the M timestamps preceding it are used as the historical timestamps of the current time.

8. A geothermal well reinjection water quality monitoring system, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement a geothermal well reinjection water quality monitoring method according to any one of claims 1-7.

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