Intelligent early warning method suitable for scaling prevention of leachate under high-temperature and high-pressure hydrological conditions

Abstract

The invention relates to a lixivium scaling prevention intelligent early warning method suitable for high-temperature and high-pressure hydrological conditions, in particular to the technical field of in-situ leaching uranium mining, and the method comprises the steps that through an underground sensor array arranged in an in-situ leaching drill hole of a sandstone uranium mine, underground monitoring data corresponding to lixivium in the in-situ leaching drill hole are collected in real time; determining a saturation index of a target scaling mineral corresponding to the leachate according to the underground monitoring data by utilizing a preset chemical reaction prediction model; according to an early warning threshold value corresponding to the saturation index of the target scaling mineral, standard-exceeding ions corresponding to the target scaling mineral are determined, and scaling early warning information corresponding to the standard-exceeding ions is generated; and according to the scaling early-warning grade and the standard-exceeding ions corresponding to the scaling early-warning information, a leachate regulation and control instruction corresponding to the in-situ leaching drill hole is generated, and the leachate regulation and control instruction is used for adjusting the component proportion of injection liquid corresponding to the leachate. According to the method, the injected liquid is adjusted in real time when the scaling early warning is detected, and the scaling risk of the lixivium is reduced.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of in-situ leaching of uranium, and particularly relates to an intelligent early warning method for preventing scaling of leaching solution suitable for high-temperature and high-pressure hydrological conditions. BACKGROUND

[0002] In-situ leaching of uranium is gradually developing in depth, and deep sandstone uranium deposits are located in high-temperature and high-pressure hydrogeological environments, the water temperature of the ore-bearing and water-bearing strata is high, the fast flow is fast, and the chemical environment changes rapidly. Under such extreme conditions, the water-rock interaction in the leaching process is intense, the chemical balance is sensitive, and the chemical scaling risk of calcium sulfate, calcium carbonate and iron-aluminum compounds is significantly intensified.

[0003] At present, in the related art, the in-situ leaching of uranium site generally adopts a mode of periodically sampling from a monitoring well or a liquid pumping well, and then sending the sample to a surface laboratory for water quality analysis, and then adjusting the liquid injection parameters according to the results.

[0004] However, in the related art, the mode of periodic sampling has a long sampling period, cannot capture the rapidly changing chemical environment underground, the analysis results are lagging, and the scaling risk underground cannot be responded to in a timely manner. SUMMARY

[0005] Therefore, the application provides an intelligent early warning method for preventing scaling of leaching solution suitable for high-temperature and high-pressure hydrological conditions, which aims to improve the technical problem that the mode of periodic sampling in the related art has a long sampling period, cannot capture the rapidly changing chemical environment underground, the analysis results are lagging, and the scaling risk underground cannot be responded to in a timely manner.

[0006] In a first aspect, the application provides an intelligent early warning method for preventing scaling of leaching solution suitable for high-temperature and high-pressure hydrological conditions, and the method comprises the following steps: An underground sensor array arranged in an in-situ leaching borehole of a sandstone uranium mine is used to collect real-time underground monitoring data of the leaching solution in the in-situ leaching borehole; A preset chemical reaction prediction model is used to determine the saturation index of a target scaling mineral corresponding to the leaching solution according to the underground monitoring data, and the target scaling mineral is determined according to the type of precipitate in the leaching solution; According to the warning threshold corresponding to the saturation index of the target scaling mineral, the corresponding over-standard ion of the target scaling mineral is determined, and scaling early warning information corresponding to the over-standard ion is generated; According to the scaling early warning level and the over-standard ion corresponding to the scaling early warning information, a leaching solution control instruction corresponding to the in-situ leaching borehole is generated, and the leaching solution control instruction is used to adjust the component ratio of the injected liquid corresponding to the leaching solution.

[0007] In a second aspect, the application provides an intelligent early warning device for preventing scaling of leaching solution suitable for high-temperature and high-pressure hydrological conditions, and the device comprises the following steps: The receiving module is configured to, in response to receiving initial alarm information of the system, extract the corresponding multi-modal signal of the system based on the monitoring data of the system; The collecting module is configured to collect the downhole monitoring data of the leaching solution in the in-situ leaching drill hole in real time through the downhole sensor array arranged in the in-situ leaching drill hole of the sandstone uranium mine. The determining module is configured to determine the saturation index of the target scaling mineral of the leaching solution according to the downhole monitoring data by using the preset chemical reaction prediction model, the target scaling mineral being determined according to the type of the precipitate in the leaching solution; determine the over-standard ion corresponding to the target scaling mineral according to the early warning threshold corresponding to the saturation index of the target scaling mineral, and generate scaling early warning information corresponding to the over-standard ion. The generating module is configured to generate the leaching solution control instruction corresponding to the in-situ leaching drill hole according to the scaling early warning level and the over-standard ion corresponding to the scaling early warning information, the leaching solution control instruction being used to adjust the component ratio of the injection liquid corresponding to the leaching solution.

[0008] In a third aspect, the present application provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the intelligent scaling early warning method for leaching solution under high temperature and high pressure hydrological conditions according to the first aspect.

[0009] In a fourth aspect, the present application provides an electronic device including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, the processor executing the computer program to implement the intelligent scaling early warning method for leaching solution under high temperature and high pressure hydrological conditions according to the first aspect.

[0010] In a fifth aspect, the present application provides a computer program product including a computer program, the computer program being executed by a processor to implement the intelligent scaling early warning method for leaching solution under high temperature and high pressure hydrological conditions according to the first aspect.

[0011] By means of the technical scheme, the application provides an in-situ leaching liquid scale prevention intelligent early warning method suitable for high temperature and high pressure hydrological conditions. Compared with related technologies, the in-situ leaching liquid scale prevention intelligent early warning method comprises the following steps: an underground sensor array arranged in an in-situ leaching borehole of a sandstone uranium mine is used to collect underground monitoring data corresponding to in-situ leaching liquid in the in-situ leaching borehole in real time; a preset chemical reaction prediction model is used to determine a saturation index of a target scale mineral corresponding to the in-situ leaching liquid according to the underground monitoring data, and the target scale mineral is determined according to a type of precipitate in the in-situ leaching liquid; an over-limit ion corresponding to the target scale mineral is determined according to a corresponding early warning threshold of the saturation index of the target scale mineral, and scale early warning information corresponding to the over-limit ion is generated; in-situ leaching liquid control instructions corresponding to the in-situ leaching borehole are generated according to a scale early warning level corresponding to the scale early warning information and the over-limit ion, and the in-situ leaching liquid control instructions are used to adjust a component ratio of injected liquid corresponding to the in-situ leaching liquid. By applying the technical scheme, the in-situ leaching liquid scale prevention intelligent early warning method can collect underground monitoring data corresponding to in-situ leaching liquid in each in-situ leaching borehole in real time, capture the underground chemical environment in real time, reduce the hysteresis of in-situ leaching liquid scale analysis, detect the saturation index of each target scale mineral in the in-situ leaching liquid according to the data by using the preset chemical reaction prediction model, automatically identify the over-limit ion corresponding to the target scale mineral by comparing the saturation index of each target scale mineral with the early warning threshold of each saturation index, generate a scale early warning level based on the over-limit ion, realize in-situ leaching liquid scale prevention intelligent early warning, and generate in-situ leaching liquid control instructions corresponding to different scale early warning levels, so that the injection equipment responds to the in-situ leaching liquid control instructions to automatically control the component ratio of the injected liquid, thereby adjusting the injected liquid in real time when the scale early warning is detected, further adjusting the saturation index of the target scale mineral corresponding to the in-situ leaching liquid, and reducing the in-situ leaching liquid scale risk in time.

[0012] The above description is only a summary of the technical scheme of the application. In order to more clearly understand the technical means of the application, the application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0013] The accompanying drawings, which are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the application and, together with the specification, serve to explain the principles of the application.

[0014] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor.

[0015] Figure 1A flowchart of a leaching liquid anti-scaling intelligent early warning method suitable for high temperature and high pressure hydrological conditions is shown. Figure 2 A structural diagram of a leaching liquid anti-scaling intelligent early warning device suitable for high temperature and high pressure hydrological conditions is shown. DETAILED DESCRIPTION

[0016] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the solutions of the present application will be further described below. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0017] The periodic sampling mode in the related art has the following problems: 1) long sampling period, unable to capture the changing chemical environment underground; 2) analysis results lag, when it is found that the scaling index exceeds the standard, the scaling phenomenon has often occurred or even intensified underground, losing the significance of early warning; 3) relying on manual decision, adjustment is not timely and accurate, and it is difficult to realize effective pre-intervention on the scaling risk. It cannot meet the needs of safe, efficient and continuous mining of deep high temperature and high pressure uranium mines, and an anti-scaling prevention and control method capable of real-time sensing, dynamic early warning and intelligent control is urgently needed.

[0018] In order to improve the technical problems that the sampling period of the periodic sampling mode in the related art is long, the changing chemical environment underground cannot be captured, the analysis results lag, and the scaling risk underground cannot be responded in time, the present embodiment provides a leaching liquid anti-scaling intelligent early warning method suitable for high temperature and high pressure hydrological conditions, as shown in Figure 1 The method comprises the following steps. Step 101, collecting, by an underground sensor array arranged in an in-situ leaching borehole of a sandstone uranium mine, underground monitoring data corresponding to leaching liquid in the in-situ leaching borehole in real time.

[0019] The in-situ leaching borehole at least comprises a liquid pumping well and a monitoring well, and the underground monitoring data at least comprises ore-bearing aquifer pressure, temperature and leaching liquid data. The leaching liquid data at least comprises calcium ion concentration, sulfate ion concentration, bicarbonate ion concentration, pH value and oxidation-reduction potential.

[0020] In some embodiments, the sandstone uranium mine can include a uranium deposit occurring in sandstone strata, and is usually mined by in-situ leaching using a non-excavation method. The in-situ leaching drilling holes can be drilling holes arranged in the mining area for injecting or extracting leaching solution, such as: liquid extraction well: extracting uranium-rich leaching solution; liquid injection well: injecting leaching agent (such as dilute sulfuric acid + oxidizing agent); monitoring well: for monitoring parameters such as water quality and water level. The downhole sensor array can be a combination of multi-parameter in-situ monitoring equipment installed in the wellbore of the drilling hole, which can measure physical and chemical parameters in real time. The leaching solution can be a solution circulating in the ore-bearing aquifer, including injected liquid and produced liquid after dissolving uranium and surrounding rock components, which is the main carrier of scaling risk. The downhole monitoring data can be in-situ collected data reflecting the state of the leaching solution and the formation environment.

[0021] In a specific application scenario, 8 in-situ leaching drilling holes can be arranged, of which 5 are liquid extraction wells, 2 are monitoring wells, and 1 is a liquid injection well. A high-temperature and high-pressure resistant downhole sensor array is installed in each well, which can integrate the following probes: pressure sensor (range: 0-10 MPa), temperature sensor (-10°C to +100°C), multi-parameter water quality probe: Ca 2+ ion selective electrode, SO4 2- sensor, HCO3 - indirect determination module, pH electrode, ORP (oxidation-reduction potential) electrode; the system automatically collects downhole monitoring data every 10 minutes through these sensors and transmits it to the ground monitoring center to monitor the state of the leaching solution in real time, and realize continuous, dynamic and in-situ sensing of the state of the leaching solution under deep high temperature and high pressure environment.

[0022] Step 102, using a preset chemical response prediction model, determining the saturation index of the target scaling mineral corresponding to the leaching solution according to the downhole monitoring data.

[0023] Among them, the target scaling mineral can be determined according to the type of precipitate in the leaching solution.

[0024] In some embodiments, the preset chemical response prediction model can include a PHREQC chemical response prediction model corrected by deep high temperature and high pressure hydrological condition experimental data, which is used for saturation index thermodynamic equilibrium calculation and introduces kinetic parameters to predict the scaling risk trend on the time scale, thereby simulating the chemical equilibrium process between ions in the solution. Saturation index (Saturation Index, SI) can be a core indicator for judging whether ions in the solution will form scaling minerals, such as Langelier Saturation Index (Langelier Saturation Index, LSI). When LSI>0, ions are easy to precipitate scaling, and the larger the value, the higher the scaling risk. When LSI≤0, ions are stable and not easy to scale.

[0025] Exemplarily, the PHREQC chemical reaction prediction model can be used to receive the real-time collected downhole monitoring data, calculate the saturation index of each target scaling mineral in the downhole monitoring data, monitor the scaling trend of each target scaling mineral, and predict the drilling scaling risk.

[0026] The target scaling mineral can be a key mineral most likely to form a precipitate in a specific in-situ leaching system, and can be dynamically determined according to the actual situation of the in-situ leaching drilling. The target scaling mineral can include carbonates such as calcite (CaCO3) and siderite (FeCO3); sulfates such as gypsum (CaSO4·2H2O) and barite (BaSO4); hydroxides such as iron hydroxide; and silicon dioxide such as amorphous SiO2. Precipitation of these minerals can block the drilling channel and affect the leaching efficiency of the uranium mine. Correspondingly, the scaling ions corresponding to the target scaling mineral can refer to ions that can participate in the formation of insoluble precipitates, such as Ca 2+ , SO 2- , Fe 3+ , etc.

[0027] Step 103: determining the over-limit ion corresponding to the target scaling mineral according to the pre-warning threshold corresponding to the saturation index of the target scaling mineral, and generating scaling pre-warning information corresponding to the over-limit ion.

[0028] In some embodiments, the scaling trend of the target scaling mineral can be determined according to the comparison result of the saturation index of the target scaling mineral and the pre-warning threshold, the scaling ion combination constituting the supersaturation state of the target scaling mineral can be identified based on the chemical composition of the target scaling mineral, the over-limit ion can be determined, and the scaling pre-warning information can be generated.

[0029] In some embodiments, when the saturation index of the target scaling mineral exceeds the corresponding pre-warning threshold, the scaling pre-warning can be triggered, the ion composition of the mineral can be automatically analyzed by the system, the scaling ion pair (such as Ca 2+ and SO4 2- corresponding to CaSO4) causing the supersaturation can be determined, and the structured scaling pre-warning information can be generated. Exemplarily, the scaling pre-warning information can include the scaling trend, the scaling mineral type, the over-limit ion, the saturation index, the pre-warning time, etc.

[0030] Optionally, the pre-warning threshold can include multiple pre-warning thresholds corresponding to different target scaling minerals, which can be used to determine the scaling trend of different scaling ions. Exemplarily, a first pre-warning threshold can represent an alarm value, and a second pre-warning threshold can represent an alarm value. For example, LSI=0.9 is the first pre-warning threshold, and LSI=0.95 is the second pre-warning threshold. When the calculated saturation index exceeds the first pre-warning threshold, the system issues a primary pre-warning signal to prompt the existence of the scaling trend. When the saturation index exceeds the second pre-warning threshold, the system issues a high-level alarm signal to confirm the scaling risk.

[0031] Step 104, generating the leaching liquid regulation instruction corresponding to the in-situ leaching borehole according to the scaling early warning information corresponding scaling early warning level and the excessive ion.

[0032] The leaching liquid regulation instruction can be used to adjust the component ratio of the injection liquid corresponding to the leaching liquid.

[0033] In some embodiments, the scaling early warning level can be determined according to the scaling trend in the scaling early warning information, and the leaching liquid regulation instruction corresponding to the in-situ leaching borehole corresponding to the scaling early warning information can be generated in combination with the excessive ion, so as to take different measures to adjust the empty space for the in-situ leaching borehole with different scaling early warning levels.

[0034] Optionally, the leaching liquid regulation instruction can be an executable process adjustment command generated by an intelligent system, a parameter change suggestion can be provided, an executable command of adjustment parameter, target value and execution mode can be included, and the executable command can be used to guide the action of the injection end device, such as the injection flow rate of the injection liquid, the component ratio of the injection liquid and the like.

[0035] Further optionally, the scaling prevention and control knowledge base corresponding to the in-situ leaching borehole can be configured, and the matching rule of the leaching liquid regulation instruction corresponding to different excessive ions or different target scaling minerals can be constructed by using the scaling prevention and control knowledge base, such as: if CaSO4SI ∈ [0.5, 1.0) is detected by the downhole sensor array and is located in the high temperature zone, the scaling early warning information and the leaching liquid regulation instruction corresponding to the scaling early warning information are generated, the leaching liquid regulation instruction can be to improve the injection flow rate and add the polyacrylic acid scale inhibitor, and the leaching liquid regulation instruction is sent to the injection end device, such as the injection pump, so that the injection pump automatically increases the flow rate, the scale inhibitor adding device starts the scale inhibitor adding, and the re-detection can be performed after 24 hours, if the detection matching SI(CaSO4) is reduced to 0.35, the risk is removed, the downhole state is sensed in real time, the early warning regulation is controlled, the closed loop intelligent control is realized, and the manual intervention hysteresis is significantly reduced.

[0036] Specifically, the scaling early warning level can be used to determine the regulation intensity, and the excessive ion can be used to determine the scaling type and guide the specific regulation strategy.

[0037] By applying the technical solutions of the embodiments of the present application, the embodiments can collect the downhole monitoring data corresponding to the leaching solution in each in-situ leaching borehole in real time, capture the downhole chemical environment in real time, reduce the hysteresis of leaching solution scaling analysis, detect the saturation index of each target scaling mineral in the leaching solution according to the data by using the pre-set chemical reaction prediction model, automatically identify the over-standard ions corresponding to the target scaling mineral by comparing the saturation index of each target scaling mineral with the warning threshold of each saturation index, generate a scaling warning level based on the over-standard ions, realize intelligent early warning of leaching solution scaling prevention, and generate leaching solution control instructions corresponding to different scaling warning levels, so that the injection equipment responds to the leaching solution control instructions to automatically control the component ratio of the injection liquid, thereby adjusting the injection liquid in real time when scaling warning is detected, further adjusting the saturation index of the target scaling mineral corresponding to the leaching solution, and timely reducing the scaling risk of the leaching solution.

[0038] To further illustrate the specific implementation process of the method as Figure 1 shown, optionally, step 104 can specifically include: judging the scaling risk trend of the in-situ leaching borehole according to the scaling ion pair corresponding to the over-standard ions; and generating the leaching solution control instruction of the in-situ leaching borehole based on the scaling risk trend and the scaling warning level.

[0039] In some embodiments, the scaling risk evolution direction of the in-situ leaching borehole is analyzed according to the scaling ion pair corresponding to the over-standard ions constituting the target scaling mineral and the concentration change trend thereof, the scaling risk trend of the in-situ leaching borehole is determined, the leaching solution control instruction matching the risk level is generated in combination with the current scaling warning level, and the scaling development trend is dynamically inhibited. Specifically, the scaling risk trend can be judged based on the time sequence change characteristics of the scaling ion pair leading to supersaturation, such as: rising trend, continuous growth of ion concentration, and accelerated rise of SI; stable trend, small parameter fluctuation, and high SI maintenance; and falling trend, such as SI falling after regulation. Then, the differential leaching solution control instruction is intelligently generated by comprehensively considering the trend information and the current warning level, so as to provide the leaching solution control strategy. For example, the leaching solution control instruction of the CO2 injection amount can be automatically generated and executed according to the scaling warning information, so as to reduce the scaling risk.

[0040] Optionally, after step 104, the method of the embodiments can further include: sending the leaching solution control instruction to the injection end equipment corresponding to the in-situ leaching borehole, so that the injection end equipment adjusts the component ratio of the injection liquid and / or the injection flow rate of the injection liquid.

[0041] The injection end device can refer to an automatic dosing and injection system located on the ground or wellhead, such as a multi-channel metering pump (for acid, oxidizing agent, scale inhibitor, etc.), a variable frequency injection pump (for controlling flow rate), a PLC / DCS control system, an automatic liquid mixing device, etc. The component ratio of the injection fluid can refer to the proportion of each chemical component in the injection fluid, such as the concentration of H2SO4, the CO2 partial pressure, the amount of oxidizing agent (O2 / H2O2) added, the scale inhibitor addition ratio, etc. The injection flow rate can be the volume of liquid injected into the formation per unit time (e.g., m³ / h), which affects the fluid residence time, mixing efficiency, and local concentration risk.

[0042] In some embodiments, the leaching liquid regulation instruction can be transmitted to the injection end control system associated with the in-situ leaching borehole to drive the injection end device to adjust the chemical component ratio of the injection liquid and / or the injection flow rate, thereby achieving dynamic intervention on the scaling risk of the leaching process. Specifically, the system generates the leaching liquid regulation instruction and transmits it to the injection end device of the target injection well through a communication network, automatically adjusts the component ratio of the injection liquid, such as the acidity, the oxidizing agent concentration, the scale inhibitor addition amount, etc., and the pumping flow rate, thereby inhibiting the scaling trend.

[0043] Optionally, according to the pre-warning threshold corresponding to the saturation index of the target scaling mineral, the over-standard ion corresponding to the target scaling mineral is determined, which can specifically include: by comparing the saturation index of the target scaling mineral with the multi-level pre-warning threshold, the over-standard ion corresponding to the target scaling mineral is determined, and the scaling pre-warning level corresponding to the over-standard ion is determined, which is used to reflect the scaling risk corresponding to the over-standard ion.

[0044] In some embodiments, the multi-level pre-warning threshold can be a preset critical value of the saturation index of different minerals, and a plurality of threshold values can be determined according to the risk level, such as a low-risk threshold, a medium-risk threshold, and a high-risk threshold, which are used to distinguish the severity of the scaling risk. The over-standard ion can be an ion in the target scaling mineral whose saturation index exceeds the corresponding pre-warning threshold, such as calcium ions and carbonate ions corresponding to calcium carbonate. If the saturation index of these two ions exceeds the threshold, they are over-standard ions. The scaling pre-warning level can be a pre-warning level divided according to the over-standard amplitude of the saturation index of the over-standard ion (such as low, medium, high, and extremely high), which directly reflects the probability and degree of harm of scaling.

[0045] For example, for calcium carbonate, if the saturation index of calcium carbonate is 0.65, which is greater than the medium-risk threshold of 0.5 and does not reach the high-risk threshold of 0.8, the over-standard ion is determined to be calcium ions and carbonate ions, and the pre-warning level is a medium-risk level. If the saturation index of calcium sulfate is 0.42, which is greater than the low-risk threshold of 0.3 and does not reach the medium-risk threshold of 0.6, the over-standard ion is determined to be calcium ions and sulfate ions, and the pre-warning level is a low-risk level.

[0046] By comparing the saturation index of the target scaling mineral with the preset multi-level early warning threshold, the scaling early warning level corresponding to the mineral is determined, and the key scaling ion pair leading to supersaturation is identified based on the chemical composition, to generate comprehensive scaling early warning information including the risk level, mineral type and dominant ion, thereby providing a decision basis for subsequent precise regulation.

[0047] Optionally, the method of the embodiment can further include: obtaining historical monitoring data corresponding to the leaching solution in the in-situ leaching borehole of the sandstone uranium mine; predicting the variation trend of the saturation index of the target scaling mineral by using a trend extrapolation algorithm based on the historical monitoring data; and predicting the over-limit ion corresponding to the target scaling mineral according to the variation trend of the saturation index, to generate early warning information corresponding to the over-limit ion.

[0048] In some embodiments, the historical monitoring data can include historical monitoring data collected by a downhole sensor array for a period of time, and then a mathematical model is constructed by using a trend extrapolation algorithm (such as linear extrapolation, exponential smoothing, regression analysis, etc.), the variation law of the historical monitoring data is analyzed, and the variation trend of the saturation index of the target scaling mineral in the in-situ leaching borehole in the future period of time is calculated, wherein the early warning information can be a warning issued in advance by a preset period of time (such as 4 hours) to avoid scaling formation.

[0049] For example, the downhole monitoring data of the No. 1 in-situ leaching borehole of the sandstone uranium mine in the past 30 days is selected, the effective data is screened after data preprocessing, and the screened data is used as the historical monitoring data for historical trend analysis to analyze the variation trend of the saturation index of the target scaling mineral. For example, in the past 30 days, the saturation index of calcium carbonate gradually rises from 0.32 to 0.65, with a daily average increase of 0.011, and the increase accelerates in the past 3 days (daily average of 0.015). According to the prediction of the variation trend of the saturation index of calcium carbonate in the next 24 hours based on the exponential smoothing method, if it is predicted that the index will continue to rise, it is predicted that the index will reach 0.72 (close to the high-risk threshold 0.8) after 12 hours and 0.78 after 24 hours. According to the composition of calcium carbonate (calcium ion + carbonate ion) and the predicted saturation index, the corresponding early warning information is generated, and the generated early warning information can be described as follows: it is predicted that the saturation index of calcium carbonate corresponding to the calcium ion and carbonate ion in the No. 1 in-situ leaching borehole will rise to 0.72 (below the high-risk threshold 0.8) in the next 12 hours and to 0.78 after 24 hours; the current is not over-limit, but the scaling risk is rising rapidly, and the composition of the injected liquid needs to be adjusted in advance to inhibit the increase of ion concentration.

[0050] Compared with the method of triggering early warning after the saturation index exceeds the standard, the embodiment can predict the scaling risk in advance by early warning, leaving enough buffer time for regulation, and subsequently avoiding further increase of the calcium carbonate saturation index by reducing the concentration of calcium ion supplier in the injection fluid, fine-tuning the pH value, etc., thereby avoiding scaling.

[0051] In some embodiments, an intelligent early warning system for leaching liquid scaling prevention can be constructed, which at least includes a downhole sensor array, a data acquisition and transmission unit, a central processing server, a human-computer interaction interface, and an injection end regulation execution mechanism. The downhole sensor array can be used to collect key chemical parameters of the leaching liquid in real time. The data acquisition and transmission unit can be used to receive and transmit sensor data. The central processing server can be internally provided with a PHREQC chemical reaction prediction model, which can be used to perform saturation index calculation and risk warning. The human-computer interaction interface can be used to display warning information and receive instructions. The central processing server sends regulation instructions to the regulation execution mechanism according to the warning results, forming a closed-loop control.

[0052] In a specific application scenario, for example, a certain sandstone uranium mine has two groups of 5-point type in-situ leaching drilling units, a total of 6 extraction and 8 injection holes. Monitoring devices are arranged at the injection holes to prevent scaling and early warning, and the specific early warning steps are as follows: S1. During the test period, 6 monitoring points were set up to collect the pressure, temperature, calcium ion concentration, sulfate ion concentration, bicarbonate ion concentration, pH value, and oxidation-reduction potential of the ore-bearing aquifer in real time, and the monitoring period lasted for 30 days; S2. The real-time collected key chemical parameters and downhole temperature and pressure data are input into the pre-installed PHREQC chemical reaction prediction model to calculate the current leaching liquid saturation index for calcium sulfate and calcium carbonate in real time; S3. Three gear ranges of warning value range are set: when LSI < 0, it is unsaturated; when LSI = 0, the solution is saturated; and when LSI > 0, it is supersaturated. LSI = 0.9 is set as the early warning value, and LSI = 0.95 is set as the alarm value. When the calculated saturation index exceeds the early warning threshold, the system sends a primary early warning signal, indicating that there is a scaling trend; when the saturation index exceeds the alarm threshold, the system sends a high-level alarm signal, confirming the scaling risk; S4. During the system operation, if the LSI of the injection hole Z2 reaches the early warning value of 0.92 on the 21st day of operation, the system automatically adjusts the carbon dioxide injection amount in the injection fluid from 150 mg / L to 200 mg / L, increases the pH of the injection hole, and increases the saturation solubility of calcium sulfate, thereby reducing the LSI index and preventing scaling. In this way, the system forms a closed-loop control.

[0053] In this way.

[0054] Compared with related technologies, this embodiment calculates the saturation index based on the PHREQC chemical reaction prediction model calibrated for high temperature and high pressure conditions. It fully considers the influence of the special deep environment on chemical equilibrium, and the prediction results are far more accurate and reliable than the estimation based on the normal temperature and pressure model, with high early warning precision. Furthermore, it sends the leachate control command to the injection end equipment corresponding to the leaching borehole, enabling the injection end equipment to adjust the component ratio and / or injection flow rate of the injection fluid. This transforms manual experience-based decision-making into data-driven intelligent decision-making and enables closed-loop control linked with the injection system, reducing manual intervention, improving production efficiency and stability, and conforming to the concept of building a "digital mine" and a "transparent mine," thereby enhancing the level of production automation and intelligence. It can also predict scaling risks in advance through ultra-early warnings, leaving sufficient buffer time for regulation and control. This represents a fundamental shift from post-treatment to pre-warning. Through real-time downhole monitoring and dynamic model calculations, it can identify risk trends and issue warnings before the formation of scaling microcrystal nuclei, providing a valuable time window for proactive intervention.

[0055] Furthermore, embodiments of this application provide an intelligent early warning device for preventing scaling in leachate under high-temperature and high-pressure hydrological conditions, such as... Figure 2 As shown, the device includes: a data acquisition module 31, a determination module 32, and a generation module 33.

[0056] The acquisition module 31 is configured to acquire downhole monitoring data corresponding to the leachate in the leaching borehole in real time through a downhole sensor array deployed in the leaching borehole of the sandstone uranium mine. The determination module 32 is configured to use a preset chemical reaction prediction model to determine the saturation index of the target scaling mineral corresponding to the leachate based on downhole monitoring data. The target scaling mineral is determined according to the type of precipitate in the leachate. Based on the warning threshold corresponding to the saturation index of the target scaling mineral, the module determines the excessive ions corresponding to the target scaling mineral and generates scaling warning information corresponding to the excessive ions. The generation module 33 is configured to generate leachate control instructions for the ground leaching borehole based on the scale warning level and excessive ions corresponding to the scale warning information. The leachate control instructions are used to adjust the component ratio of the injection fluid corresponding to the leachate.

[0057] In some embodiments, the generation module 33 is specifically configured to determine the scaling risk trend of the immersion borehole based on the scaling ion pairs corresponding to the excessive ions; and to generate leachate control instructions for the immersion borehole based on the scaling risk trend and the scaling warning level.

[0058] In some embodiments, the generation module 33 is further configured to send a leachate control command to the injection end device corresponding to the leaching borehole, so that the injection end device adjusts the component ratio of the injection fluid and / or the injection flow rate of the injection fluid.

[0059] In some embodiments, the warning threshold includes multi-level warning thresholds corresponding to different target scaling minerals; the determination module 32 is specifically configured to determine the excessive ions from the scaling ions by comparing the saturation index of the target scaling minerals with the multi-level warning thresholds, and to determine the scaling warning level corresponding to the scaling ions, the scaling warning level being used to reflect the scaling risk corresponding to the scaling ions.

[0060] In some embodiments, the determining module 32 is further configured to acquire historical monitoring data corresponding to the leachate in the in-situ leaching borehole of the sandstone uranium mine; based on the historical monitoring data, use a trend extrapolation algorithm to predict the saturation index change trend of the target scaling mineral; predict the excess ions corresponding to the target scaling mineral according to the saturation index change trend, and generate early warning information corresponding to the excess ions.

[0061] In some embodiments, the determining module 32 is configured to pre-set a chemical reaction prediction model including a PHREQC chemical reaction prediction model corrected by experimental data of deep high temperature and high pressure hydrological conditions. The PHREQC chemical reaction prediction model is used for saturation index thermodynamic equilibrium calculation and introduces reaction kinetic parameters to predict scaling risk trends over time.

[0062] In some embodiments, the acquisition module 31 is configured such that the leaching borehole includes at least a pumping well and a monitoring well, and the downhole monitoring data includes at least the pressure, temperature, and leachate data of the mineralized aquifer, and the leachate data includes at least the calcium ion concentration, sulfate ion concentration, bicarbonate ion concentration, pH value, and redox potential.

[0063] It should be noted that other corresponding descriptions of the functional units involved in the intelligent early warning device for preventing scaling of leachate under high temperature and high pressure hydrological conditions provided in this application embodiment can be found in the following references. Figure 1 The corresponding descriptions in [the document] will not be repeated here.

[0064] Based on the above, Figure 1 As illustrated in the example, correspondingly, embodiments of this application also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described... Figure 1 The example method shown.

[0065] Based on the above, Figure 1 As illustrated, correspondingly, embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the above-described...Figure 1 The example method shown.

[0066] Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, which can be stored in a nonvolatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.) and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of various implementation scenarios of the present application.

[0067] Based on the above Figure 1 The method shown, and Figure 2 The virtual device embodiment shown, in order to achieve the above purpose, the embodiments of the present application also provide an electronic device, the device includes a storage medium and a processor; the storage medium is used for storing a computer program; the processor is used for executing the computer program to realize the method shown in the above Figure 1 The method shown.

[0068] Optionally, the above-mentioned electronic device can also include a user interface, a network interface, a camera, a radio frequency (Radio Frequency, RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface can include a display screen (Display), an input unit, etc.

[0069] Those skilled in the art can understand that the above-mentioned entity device structure provided by the embodiments does not constitute a limitation on the entity device, and can include more or fewer components, or combine certain components, or different component arrangements. The storage medium can also include an operating system, a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned entity device, supports the running of information processing programs and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing entity device.

[0070] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be realized by means of software and necessary general hardware platforms, or by hardware. The embodiments are based on the PHREQC chemical reaction prediction model corrected under high temperature and high pressure conditions to calculate the saturation index, fully considering the influence of the special environment in the deep part on the chemical equilibrium, and the prediction result is much more accurate and reliable than the estimation based on the model under normal temperature and pressure, and the early warning precision is high; and the leaching liquid control instruction is sent to the injection end equipment corresponding to the in-situ leaching borehole, so that the injection end equipment adjusts the component ratio of the injection liquid and / or the injection flow rate of the injection liquid, the manual experience decision is changed into intelligent decision based on data driving, and the linkage closed-loop control with the injection system can be realized, the manual intervention is reduced, the production efficiency and stability are improved, the concept of building a "digital mine" and a "transparent mine" is met, and the production automation and intelligent level are improved; the scaling risk can be predicted in advance for a period of time through the ultra-early warning, and sufficient buffer time is left for control, realizing the fundamental change from post-treatment to pre-warning, through the real-time monitoring and dynamic model calculation in the well, the risk trend can be identified before the formation of the scaling microcrystalline nucleus, and early warning is given, providing a valuable time window for active intervention.

[0071] It should be noted that, in this document, the terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between the entities or operations. Moreover, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such a process, method, article or equipment. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or equipment including the element.

[0072] The above is only a specific embodiment of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications of these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A smart early warning method for preventing scaling in leachate under high-temperature and high-pressure hydrological conditions, characterized in that, include: The downhole sensor array deployed in the leaching boreholes of the sandstone uranium mine is used to collect downhole monitoring data corresponding to the leaching fluid in the leaching boreholes in real time. Using a pre-set chemical reaction prediction model, the saturation index of the target scaling mineral corresponding to the leachate is determined based on the downhole monitoring data. The target scaling mineral is determined according to the type of precipitate in the leachate. Based on the warning threshold corresponding to the saturation index of the target scaling mineral, determine the excessive ions corresponding to the target scaling mineral, and generate scaling warning information corresponding to the excessive ions; Based on the scaling warning level corresponding to the scaling warning information and the excessive ions, a leachate control command is generated for the leaching borehole. The leachate control command is used to adjust the component ratio of the injection fluid corresponding to the leachate.

2. The method according to claim 1, characterized in that, The step of generating a leachate control command for the leaching borehole based on the scaling warning level corresponding to the scaling warning information and the excessive ions includes: Based on the scale-forming ion pairs corresponding to the excessive ions, the scaling risk trend corresponding to the ground immersion borehole is determined; Based on the scaling risk trend and the scaling warning level, leachate control instructions are generated for the leaching boreholes.

3. The method according to claim 2, characterized in that, After generating the leachate control command corresponding to the leaching borehole based on the scaling warning level corresponding to the scaling warning information and the excessive ions, the method further includes: The leachate control command is sent to the injection end device corresponding to the leaching borehole, so that the injection end device adjusts the component ratio of the injection solution and / or the injection flow rate of the injection solution.

4. The method according to claim 1, characterized in that, The warning thresholds include multi-level warning thresholds corresponding to different target scaling minerals; The step of determining the excessive ions corresponding to the target scaling mineral based on the warning threshold corresponding to the saturation index of the target scaling mineral includes: By comparing the saturation index of the target scaling mineral with the multi-level warning threshold, the excessive ions corresponding to the target scaling mineral are determined, and the scaling warning level corresponding to the excessive ions is determined. The scaling warning level is used to reflect the scaling risk corresponding to the excessive ions.

5. The method according to claim 1, characterized in that, The method further includes: Obtain historical monitoring data of the leachate from the in-situ leaching boreholes of the sandstone uranium mine; Based on historical monitoring data, the trend of saturation index variation of the target scaling minerals is predicted using a trend extrapolation algorithm. Based on the trend of the saturation index change, the excess ions corresponding to the target scaling minerals are predicted, and ultra-early warning information corresponding to the excess ions is generated.

6. The method according to claim 1, characterized in that, The pre-set chemical reaction prediction model includes the PHREQC chemical reaction prediction model, which has been corrected by experimental data of deep high temperature and high pressure hydrological conditions. The PHREQC chemical reaction prediction model is used for saturation index thermodynamic equilibrium calculation and introduces reaction kinetic parameters to predict scaling risk trends on a time scale.

7. The method according to claim 1, characterized in that, The in-situ leaching borehole includes at least a pumping well and a monitoring well. The downhole monitoring data includes at least the pressure, temperature, and leachate data of the mineralized aquifer. The leachate data includes at least the calcium ion concentration, sulfate ion concentration, bicarbonate ion concentration, pH value, and redox potential.

8. A smart early warning device for preventing scaling in leachate under high-temperature and high-pressure hydrological conditions, characterized in that, include: The acquisition module is configured to acquire downhole monitoring data corresponding to the leachate in the leaching borehole in real time through a downhole sensor array deployed in the leaching borehole of the sandstone uranium mine. The determination module is configured to use a preset chemical reaction prediction model to determine the saturation index of the target scaling mineral corresponding to the leachate based on the downhole monitoring data. The target scaling mineral is determined according to the type of precipitate in the leachate. Based on the warning threshold corresponding to the saturation index of the target scaling mineral, the module determines the excessive ions corresponding to the target scaling mineral and generates scaling warning information corresponding to the excessive ions. The generation module is configured to generate a leachate control command corresponding to the ground leaching borehole based on the scale warning level corresponding to the scale warning information and the excessive ions. The leachate control command is used to adjust the component ratio of the injection fluid corresponding to the leachate.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

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