Method and device for determining the connectivity of a seam

Abstract

The application discloses a method and device for determining the connectivity of a mineral layer, and relates to the technical field of uranium mining. The main purpose is to solve the problem of poor accuracy of existing mineral layer connectivity determination. The method comprises the following steps: after the target well is completed, layered perforation completion and interlayer isolation are performed, wide area electromagnetic monitoring data of each layer position in the planar direction after layer-by-layer liquid injection is obtained; a plurality of curve inflection points in the wide area electromagnetic monitoring data are identified, and an average seepage distance is determined based on the curve inflection points; when it is determined based on the average seepage distance that there is a dominant seepage channel in a first target direction and / or there is a weak seepage area in a second target direction, a directional plugging operation is performed on the dominant seepage channel and a directional supplemental perforation operation is performed on the weak seepage area, and wellbore flow profile data obtained by vertical direction water absorption profile testing is collected; the water absorption amount proportion of each perforation interval is determined based on the wellbore flow profile data, and the connectivity of the mineral layer is determined based on the water absorption amount proportion.

Description

Technical Field

[0001] This application relates to the field of uranium mining technology, and in particular to a method and apparatus for determining the connectivity of ore layers. Background Technology

[0002] In-situ leaching is a mining method that involves injecting a leaching agent into an ore-bearing aquifer through injection wells to leach uranium ore in situ within the ore layer, and then pumping the uranium-bearing leachate back to the surface through pumping wells. The morphology of the underground flow field is determined by the spatial heterogeneity of the target mining layer (ore-bearing aquifer) and the hydraulic connectivity between wells. The permeability of the uranium ore layer exhibits anisotropic and heterogeneous distribution in three-dimensional space. This heterogeneity directly leads to the injected leaching agent not diffusing uniformly in the reservoir, but rather tending to rapidly advance along high-permeability strips or dominant channels, while simultaneously forming leaching "dead zones" in low-permeability areas. Therefore, accurately characterizing the connectivity of the ore layers between wells to implement targeted mining strategies is a core scientific issue and technological bottleneck determining the success or failure of mining, economic benefits, and environmental safety.

[0003] Currently, the existing methods for determining the connectivity of ore layers mainly rely on geological models, well testing, and tracer monitoring. However, geological models are difficult to fully match the actual strata, leading to inaccurate connectivity assessments. Well testing and tracer monitoring cannot distinguish multiple sub-layers, resulting in severely insufficient vertical resolution. Consequently, they cannot provide a basis for decision-making regarding stratified injection and the blocking of dominant channels. Therefore, there is an urgent need for a new method for determining the connectivity of ore layers to address the aforementioned issues. Summary of the Invention

[0004] In view of this, this application provides a method and apparatus for determining the connectivity of mineral layers, the main purpose of which is to solve the problem of poor accuracy in existing mineral layer connectivity determination methods.

[0005] According to one aspect of this application, a method for determining the connectivity of a mineral seam is provided, comprising:

[0006] After completing the layered perforation completion and interlayer isolation in the target logging, acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after layer-by-layer injection.

[0007] Identify multiple curve inflection points in the wide-area electromagnetic monitoring data, and determine the average seepage distance based on the curve inflection points;

[0008] When it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, a directional sealing operation is performed on the dominant seepage channel and a directional perforation operation is performed on the weak seepage zone, and wellbore flow profile data obtained from vertical water absorption profile test is collected.

[0009] The water absorption ratio of each perforation section is determined based on the wellbore flow profile data, and the mineral layer connectivity is determined based on the water absorption ratio.

[0010] Furthermore, identifying multiple curve inflection points in the wide-area electromagnetic monitoring data and determining the average seepage distance based on the curve inflection points includes:

[0011] A wide-area electromagnetic monitoring image is drawn based on the wide-area electromagnetic monitoring data, and multiple curve inflection points are determined from the wide-area electromagnetic monitoring image;

[0012] The distance dataset is determined based on the wellhead location and the inflection point of the curve.

[0013] After removing the maximum and minimum distances from the distance dataset, the average seepage distance is calculated.

[0014] Furthermore, the method also includes:

[0015] If a first distance data point in the distance dataset is greater than a first preset multiple of the average seepage distance, then the direction corresponding to the first distance data point is determined to be a first target direction, and a dominant seepage channel is determined to exist in the first target direction; and / or,

[0016] If there is a second distance data in the distance dataset that is less than a second preset multiple of the average seepage distance, then the direction corresponding to the second distance data is determined to be the second target direction, and a weak seepage zone is determined to exist in the second target direction.

[0017] Furthermore, the wellbore flow profile data obtained from the vertical water intake profile test includes:

[0018] Vertical water absorption profile tests were performed on all well sections according to the preset total flow rate.

[0019] Obtain the water absorption rate of each layer and the single-layer injection rate of the injected test solvent collected during the water absorption profile test.

[0020] Furthermore, determining the connectivity of the ore layer based on the water absorption ratio includes:

[0021] Sort the percentage of water absorption corresponding to each layer;

[0022] The mineral layer connectivity of each mineral layer segment is determined based on the sorting results. The mineral layer connectivity includes high connectivity segments and low connectivity segments.

[0023] Furthermore, the acquisition of wide-area electromagnetic monitoring data of the leachate in the planar direction at each layer after layer-by-layer injection includes:

[0024] Perform layer-by-layer fluid injection operations on the target well logging in a bottom-up order;

[0025] During the injection of the solvent at each layer, a wide-area electromagnetic monitoring system is activated to collect the wide-area electromagnetic monitoring data.

[0026] Furthermore, after determining the connectivity of the ore layer based on the water absorption ratio, the method further includes:

[0027] Based on the connectivity of the ore layers corresponding to each segment, a matching differentiated injection rate is determined, and layered injection is performed on each segment based on the differentiated injection rate, wherein different ore layer connectivity corresponds to different single-layer injection rates.

[0028] According to another aspect of this application, an apparatus for determining the connectivity of a mineral seam is provided, comprising:

[0029] The acquisition module is used to acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after the target well is completed with layered perforation completion and interlayer isolation.

[0030] The first determining module is used to identify multiple curve inflection points in the wide-area electromagnetic monitoring data and determine the average seepage distance based on the curve inflection points;

[0031] The execution module is used to perform directional plugging operations on the dominant seepage channel and directional perforation operations on the weak seepage zone when it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, and to collect wellbore flow profile data obtained from vertical water absorption profile testing.

[0032] The second determining module is used to determine the water absorption ratio of each perforation section based on the wellbore flow profile data, and to determine the mineral layer connectivity based on the water absorption ratio.

[0033] Furthermore, the first determining module is specifically used to draw a wide-area electromagnetic monitoring image based on the wide-area electromagnetic monitoring data, and determine multiple curve inflection points from the wide-area electromagnetic monitoring image; determine a distance dataset based on the wellhead location and the curve inflection points; and calculate the average seepage distance after removing the maximum and minimum distances from the distance dataset.

[0034] Furthermore, the first determining module is also configured to: if there is a first distance data in the distance dataset that is greater than a first preset multiple of the average seepage distance, determine the direction corresponding to the first distance data as a first target direction, and determine that there is a dominant seepage channel in the first target direction; and / or, if there is a second distance data in the distance dataset that is less than a second preset multiple of the average seepage distance, determine the direction corresponding to the second distance data as a second target direction, and determine that there is a weak seepage zone in the second target direction.

[0035] Furthermore, the execution module is specifically used to perform a vertical water absorption profile test on all well sections according to a preset total flow rate; and to obtain the water absorption rate of each layer of the injected test solvent and the single-layer injection rate during the execution of the water absorption profile test.

[0036] Furthermore, the second determining module is specifically used to sort the water absorption ratio corresponding to each layer segment; and to determine the mineral layer connectivity of each mineral layer segment based on the sorting result, wherein the mineral layer connectivity includes high connectivity segments and low connectivity segments.

[0037] Furthermore, the acquisition module is specifically used to perform layer-by-layer fluid injection operations on the target well logging layer by layer in a bottom-up order; during the injection of solvent in each layer, the wide-area electromagnetic monitoring system is activated to collect the wide-area electromagnetic monitoring data.

[0038] Furthermore, the execution module is also used to determine a matching differentiated injection rate based on the connectivity of the ore layers corresponding to each segment, and to perform layered injection on each segment based on the differentiated injection rate, wherein different ore layer connectivity corresponds to different single-layer injection rates.

[0039] According to another aspect of this application, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the above-described method for determining mineral layer connectivity.

[0040] According to another aspect of this application, a terminal is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0041] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described method for determining the connectivity of the mineral layer.

[0042] By employing the above technical solutions, the technical solutions provided in the embodiments of this application have at least the following advantages:

[0043] This application provides a method and apparatus for determining the connectivity of mineral formations. Compared with the prior art, the embodiments of this application, after completing layered perforation and interlayer isolation in the target well logging, acquire wide-area electromagnetic monitoring data of the leaching agent in each layer in the planar direction after layer-by-layer injection; identify multiple curve inflection points in the wide-area electromagnetic monitoring data, and determine the average seepage distance based on the curve inflection points; when it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, directional sealing operation is performed on the dominant seepage channel and directional perforation operation is performed on the weak seepage zone, and wellbore flow profile data obtained from vertical water absorption profile testing is collected; the water absorption ratio of each perforated layer is determined based on the wellbore flow profile data, and the mineral formation connectivity is determined based on the water absorption ratio. This realizes the constraint and fusion of downhole dynamic monitoring data and surface wide-area electromagnetic monitoring data, achieving complementary advantages, and achieving a more refined and reliable three-dimensional spatial description of mineral formation connectivity, improving the understanding of the underground seepage field, and thus improving the accuracy of determining mineral formation connectivity.

[0044] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0045] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0046] Figure 1 A flowchart illustrating a method for determining the connectivity of ore layers according to an embodiment of this application is shown.

[0047] Figure 2 This illustration shows a schematic diagram of a wide-area electromagnetic monitoring image of the L1 layer provided in an embodiment of this application;

[0048] Figure 3 This illustration shows a schematic diagram of a wide-area electromagnetic monitoring image of the L2 layer provided in an embodiment of this application;

[0049] Figure 4 This illustration shows a schematic diagram of a wide-area electromagnetic monitoring image of the L3 layer provided in an embodiment of this application;

[0050] Figure 5 This paper shows a block diagram of a device for determining the connectivity of a mineral layer according to an embodiment of this application.

[0051] Figure 6 A schematic diagram of the structure of a terminal provided in an embodiment of this application is shown. Detailed Implementation

[0052] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0053] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0054] This application provides a method for determining the connectivity of mineral seams, such as... Figure 1 As shown, the method includes:

[0055] 101. After completing the layered perforation completion and interlayer isolation in the target logging, acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after layer-by-layer injection.

[0056] In this embodiment, the current execution terminal, as the execution subject for judging the connectivity of the ore layer, can be a server or a processing terminal embedded in the mine monitoring system; this embodiment does not impose specific limitations. The target logging is the injection well to which the solvent is to be injected. At this time, the solvent is injected in layers in the target logging. The target logging is perforated and completed according to the geological stratification and ore layer distribution, dividing it into several injection target segments. After perforation is completed, each segment is injected separately, and wide-area electromagnetic monitoring is performed in the plane direction to obtain wide-area electromagnetic monitoring data, that is, diffusion resistivity change data in the plane direction.

[0057] It should be noted that, in one example of this application's embodiments, a single injection well W1 in a sandstone-type uranium deposit is used as the target logging well. The target logging well's sections can be vertically divided into three ore layers with different uranium grades and permeability, numbered L1, L2, and L3 from bottom to top. The layered perforation in this embodiment refers to precisely perforating the three target sections L1, L2, and L3 in well W1 based on the uranium grade and ore layer distribution data obtained from logging interpretation. After well completion, a packer is installed in the wellbore to completely separate the three sections within the wellbore, connecting the surface injection system to the wide-area electromagnetic monitoring system.

[0058] 102. Identify multiple curve inflection points in the wide-area electromagnetic monitoring data, and determine the average seepage distance based on the curve inflection points.

[0059] In this embodiment, since the wide-area electromagnetic monitoring data is diffusion resistivity change data, in order to determine the diffusion of the leaching agent and thus the seepage distance, the current execution terminal plots the data based on the wide-area electromagnetic monitoring data and identifies the curve inflection points from the monitoring image data. At this time, the position corresponding to the curve is used as the leading edge boundary of the leaching agent after standard injection. The curve inflection point can characterize the boundary of the leaching agent leading edge in different directions. Since the monitoring image data can usually contain multiple curve inflection points, the average seepage distance can be calculated, such as... Figure 2 As shown.

[0060] 103. When it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, directional sealing operation is performed on the dominant seepage channel and directional perforation operation is performed on the weak seepage zone, and wellbore flow profile data obtained from vertical water absorption profile test is collected.

[0061] In this embodiment, the first target direction and the second target direction are used to characterize the directions where dominant seepage channels and weak seepage zones exist, respectively. These can be screened based on the average seepage distance. Furthermore, when it is determined that a dominant seepage channel exists in the first target direction and a weak seepage zone exists in the second target direction, a directional plugging operation is performed on the dominant seepage channel, and a directional perforation operation is performed on the weak seepage zone. Specifically, the directional plugging operation refers to using a downhole directional injection tool to inject a certain amount of gel-type plugging agent into the formation at that location to form an artificial barrier zone. The directional perforation operation refers to inserting a directional perforation device into the target well log to perform directional perforation, expanding the seepage channel, balancing the leaching agent's coverage area, and preventing sudden advances.

[0062] It should be noted that after the supplementary perforation holes and the dominant channel are plugged, a water absorption profile testing instrument is installed in the target logging and connected to the surface injection system. The solvent is injected at a fixed flow rate, and the wellbore flow rate profile data obtained by the vertical water absorption profile test is collected. That is, the water absorption profile testing instrument is used to measure and record the flow rate at different depths in the wellbore in real time. The specific implementation of this application does not involve this.

[0063] For example, if the P2 direction of the L2 section is determined to be the dominant seepage channel, a downhole directional injection tool can be used to inject a certain amount of gel-type plugging agent into the formation in that direction to form an artificial barrier zone. If the P1 direction of the L1 section is determined to be a weak seepage zone, a directional perforation tool can be run down to perform perforation to increase the fluid flow channels.

[0064] 104. Determine the water absorption ratio of each perforation section based on the wellbore flow profile data, and determine the mineral layer connectivity based on the water absorption ratio.

[0065] In this embodiment, the water absorption ratio refers to the relative percentage of water absorption in each perforated section or sub-layer within the injection wellbore. This percentage can be calculated based on wellbore flow profile data to determine the connectivity of the ore layer. In some embodiments, since the wellbore flow profile data is collected vertically for each section, the water absorption ratios of all sections can be sorted to determine the section with the highest water absorption ratio as the highly connected section. In this case, the ore layer connectivity can include both high and low connectivity; this embodiment does not impose specific limitations.

[0066] In another embodiment of this application, for further definition and explanation, the step of identifying multiple curve inflection points in the wide-area electromagnetic monitoring data and determining the average seepage distance based on the curve inflection points includes:

[0067] A wide-area electromagnetic monitoring image is drawn based on the wide-area electromagnetic monitoring data, and multiple curve inflection points are determined from the wide-area electromagnetic monitoring image;

[0068] The distance dataset is determined based on the wellhead location and the inflection point of the curve.

[0069] After removing the maximum and minimum distances from the distance dataset, the average seepage distance is calculated.

[0070] To identify the seepage situation after the leaching agent is injected into each layer and accurately determine the connectivity of the ore layer, the current execution terminal, when identifying the inflection point of the curve, specifically first draws a wide-area electromagnetic monitoring image based on wide-area electromagnetic monitoring data. This wide-area electromagnetic monitoring data is obtained by using a wide-area electromagnetic system to measure the plane of the ore layer, acquiring the diffusion resistivity change data of the leaching agent in the planar direction for that layer. Then, the diffusion resistivity change data of the corresponding layer segment is used to draw a wide-area electromagnetic monitoring image, such as... Figure 2 , 3 The wide-area electromagnetic monitoring images corresponding to each layer segment are shown in Figure 4. Since curve inflection points can characterize the boundaries of the leaching agent front in different directions, multiple curve inflection points can be determined by traversing the image edges. Then, a distance dataset is determined based on the wellhead location and the curve inflection points. The wellhead location is used as the origin location, and distances are measured extending to each curve inflection point to obtain the distances corresponding to each curve inflection point. This set is used as the distance dataset, as shown in Figure 4. Figure 3 The distance data shown includes P1, P2, P3, etc.

[0071] It should be noted that, in order to ensure the validity of the data, the maximum and minimum distances are removed from the distance dataset, that is, the maximum and minimum distances in the distance dataset are deleted, and then the average distance corresponding to all distance data is calculated as the average seepage distance.

[0072] In a specific implementation scenario, the wide-area electromagnetic monitoring data at each layer is processed to generate wide-area electromagnetic monitoring image data, such as... Figure 2 , 3 Figures 4 and 5 show the wide-area electromagnetic monitoring images for segments 1, 2, and 3 corresponding to L1, L2, and L3, respectively. Taking the wellhead of well W1 as the origin O, the inflection points of the curves on the wide-area electromagnetic monitoring map were identified. These inflection points represent the boundaries of the leaching agent front in different directions. The distance from each curve inflection point to the origin was measured in meters, resulting in the set L1 = {2.2, 2.7, 2.9, 3, 2.5}. After removing the maximum value of 3 meters and the minimum value of 2.2 meters, the average seepage distance was calculated to be 2.7 meters, indicating a relatively uniform affected area. L3 = {2.3, 2.8, 3.5, 3.1, 3, 3.7}. After removing the maximum value of 3.7 meters and the minimum value of 2.3 meters, the average seepage distance was calculated to be 3.1 meters, indicating a relatively uniform affected area. L2 = {10.5, 3.2, 3.1, 1.5, 2.8, 2.9, 2, 4.5, 3}. After removing the maximum value of 10.5 meters and the minimum value of 1.5 meters, the average seepage distance is calculated to be 3.07 meters.

[0073] In another embodiment of this application, for further definition and explanation, the steps also include:

[0074] If a first distance data point in the distance dataset is greater than a first preset multiple of the average seepage distance, then the direction corresponding to the first distance data point is determined to be a first target direction, and a dominant seepage channel is determined to exist in the first target direction; and / or,

[0075] If there is a second distance data in the distance dataset that is less than a second preset multiple of the average seepage distance, then the direction corresponding to the second distance data is determined to be the second target direction, and a weak seepage zone is determined to exist in the second target direction.

[0076] To determine the presence of inrush and weak seepage zones in each layer and thus identify the connectivity of the ore layer, the current execution terminal, after obtaining the average seepage distance, compares it sequentially with various distance data in the distance dataset, specifically by a first preset multiple and a second preset multiple of the average seepage distance. The first and second preset multiples are used to distinguish whether the seepage sweep area is uniform; therefore, they can be configured with different values. For example, the first preset multiple is preferably configured as 2 or 3, and the second preset multiple is preferably configured as 0.5 or 0.2, etc., but this embodiment does not impose specific limitations. If a first distance data in the distance dataset is greater than the first preset multiple of the average seepage distance, it indicates the existence of a dominant seepage channel in that direction. Therefore, the direction corresponding to the first distance data is determined as the first target direction, and a dominant seepage channel is identified in the first target direction. If a second distance data in the distance dataset is less than the second preset multiple of the average seepage distance, it indicates a weak seepage zone in that direction. Therefore, the direction corresponding to the second distance data is determined as the second target direction, and a weak seepage zone is identified in the second target direction.

[0077] In one specific embodiment, such as Figure 2 , 3 As shown in Figure 4, for the distance dataset L1 = {2.2, 2.7, 2.9, 3, 2.5}, after removing the maximum value of 3 meters and the minimum value of 2.2 meters, the calculated average seepage distance is 2.7 meters, and the affected area is relatively uniform. For the distance dataset L3 = {2.3, 2.8, 3.5, 3.1, 3, 3.7}, after removing the maximum value of 3.7 meters and the minimum value of 2.3 meters, the calculated average seepage distance is 3.1 meters, and the affected area is relatively uniform. For the distance dataset L2 = {10.5, 3.2, 3.1, 1.5, 2.8, 2.9, 2, 4.5, 3}, after removing the maximum value of 10.5 meters and the minimum value of 1.5 meters, the calculated average seepage distance is 3.07 meters. Among them, the seepage distance in direction P2 (original distance 10.5 meters) is about 3.4 times the average seepage distance, which is greater than the first preset multiple of 2, so it is determined that there is a dominant seepage channel in this direction. The seepage distance in direction P1 (original distance 1.5 meters) is less than 0.5 times the average seepage distance, which is less than the second preset multiple of 0.5, so it is determined that this direction is a weak seepage zone.

[0078] In another embodiment of this application, for further definition and explanation, the step of collecting wellbore flow profile data obtained from vertical water absorption profile testing includes:

[0079] Vertical water absorption profile tests were performed on all well sections according to the preset total flow rate.

[0080] Obtain the water absorption rate of each layer and the single-layer injection rate of the injected test solvent collected during the water absorption profile test.

[0081] To analyze connectivity from a vertical perspective, after completing planar plugging and perforation measures at all layers, the current execution end, when collecting wellbore flow profile data, specifically first performs a vertical water absorption profile test on all well sections according to a preset total flow rate. The water absorption profile test involves lowering a water absorption profile testing instrument into the target well, injecting a solvent into the well according to a preset total flow rate, and after stabilization, acquiring the water absorption rate of each layer and the injection rate of a single layer of the injected solvent during the water absorption profile test, in order to calculate the relative water absorption percentage.

[0082] In this embodiment of the application, for the water absorption profile test, the relative water absorption of each perforation section of the injection well can be accurately measured, providing vertical seepage information, which directly overcomes the inherent defect of traditional well testing and tracer monitoring that "cannot distinguish multiple small layers".

[0083] For example, a water absorption profiler is installed in well W1 to measure Q. 总 The solvent was injected into the well at a preset total flow rate of 6 m³ / h, and the stability test was conducted for 4 hours.

[0084] It should be noted that the water absorption ratio R in the embodiments of this application is... i Based on the water absorption rate L of each layer i and single-layer injection rate Q 总 The calculated value (where i represents the number of layers) can be expressed as:

[0085] R i =L i / Q 总 .

[0086] In this embodiment, the obtained vertical seepage profile can accurately identify the contribution differences of each injection layer. When layered injection is adopted, it can scientifically guide injection control (such as adjusting the injection pressure, flow rate ratio, or solvent concentration of each layer), enhance the effective displacement of low-permeability areas, and achieve refined and balanced mining of ore resources. In addition, this embodiment can not only determine the existence of dominant channels in the planar direction, but also characterize the three-dimensional space based on the vertical direction. This allows for precise determination of the injection layer of the sealing agent, including the spatial trajectory, extension range, and connectivity with the injection and production wells, effectively suppressing the crossflow of the solvent and increasing the leaching sweep volume.

[0087] In another embodiment of this application, for further definition and explanation, the step of determining the connectivity of the ore layer based on the water absorption ratio includes:

[0088] Sort the percentage of water absorption corresponding to each layer;

[0089] The connectivity of each ore layer segment is determined based on the sorting results.

[0090] To determine the connectivity of ore layers based on the relative water absorption ratio, the current process involves sorting the water absorption ratios of each layer after calculation, and then determining the connectivity of each ore layer segment based on the sorting results. In this case, the connectivity of the ore layers includes high connectivity segments and low connectivity segments.

[0091] In one specific embodiment, the relative water absorption percentages of the three segments under the current conditions are as follows: L1 (bottom): R1 = 20%; L2 (middle): R2 = 50%; L3 (top): R3 = 30%. Based on the water absorption percentage, L2 can be directly identified as a high-connectivity segment, while L1 and L3 are low-connectivity segments.

[0092] In another embodiment of this application, for further definition and explanation, the step of obtaining wide-area electromagnetic monitoring data of the leachate in the planar direction at each layer after layer-by-layer injection includes:

[0093] Perform layer-by-layer fluid injection operations on the target well logging in a bottom-up order;

[0094] During the injection of the solvent at each layer, a wide-area electromagnetic monitoring system is activated to collect the wide-area electromagnetic monitoring data.

[0095] To achieve wide-area electromagnetic monitoring of each layer horizontally, and to use the wide-area electromagnetic monitoring data as the basis for connectivity judgment, the current execution terminal performs layer-by-layer fluid injection operations on the target well in a bottom-up sequence. Specifically, fluid injection is performed layer by layer from bottom to top, with wide-area electromagnetic monitoring implemented simultaneously. During fluid injection at all layers, the wellhead injection pressure is kept constant at P = 1 MPa. Furthermore, during the injection of solvent at each layer, the wide-area electromagnetic monitoring system is activated to collect wide-area electromagnetic monitoring data from each layer. At this point, the wide-area electromagnetic method can reflect the planar connectivity distribution trend. Combining the two methods, a full-dimensional connectivity characterization and analysis can be achieved, from "single-well vertical subdivision" to "planar regional spatial distribution".

[0096] In one specific embodiment, for monitoring the L1 layer, the lowest layer, L1, is first injected with the leaching agent at a fixed pressure. Simultaneously, a wide-area electromagnetic (WEMI) monitoring system is activated. Injection continues until the flow rate stabilizes, completing the WEMI data acquisition for this layer. After monitoring, injection into the L1 layer is stopped. Similarly, for monitoring the L2 and L3 layers, the injection tubing is raised so that the injection port is aligned with the L2 layer, and the above injection and synchronous WEMI monitoring process is repeated. After completion, the tubing is raised again, and the same operation is performed on the L3 layer. Thus, planar diffusion monitoring data of the leaching agent at the same injection pressure for three independent layers are obtained.

[0097] In another embodiment of this application, for further definition and explanation, after determining the mineral layer connectivity based on the water absorption ratio, the method further includes:

[0098] Based on the connectivity of the ore layers corresponding to each layer, a matching differentiated injection rate is determined, and layered injection is performed on each layer based on the differentiated injection rate.

[0099] To achieve balanced mining by suppressing high-level breaches and supplementing low-level breaches, thus ensuring optimal mining conditions, the current execution end, after determining the connectivity of each layer, determines a matching differentiated injection rate based on the connectivity of the corresponding ore layer for each layer. This is then used to program subsequent layer-by-layer injection of each layer based on the differentiated injection rate. Different ore layer connectivity corresponds to different single-layer injection rates, which are calculated when the differentiated injection rate Q is determined. i Specifically, it can be calculated based on the rate formula, expressed as:

[0100] Q i = (1 - R i ) Q 总 / (L-1);

[0101] Where L represents the total number of strata. After determining the differentiated injection rates for each stratum, an initial stratified injection plan can be formulated. Based on this plan, stratified injection tubing can be run to initiate subsequent long-term stratified injection. Furthermore, to maintain optimal conditions during the mining process, water absorption profile tests need to be repeated periodically. Based on the latest test results and production dynamics, the injection rates for each stratum are continuously and dynamically adjusted to ultimately increase the effective swept volume of the leaching agent and the equilibrium recovery rate of uranium resources. The calculation and updating of differentiated injection rates can be evaluated not only before or early in mining but also through phased repeated monitoring during production, forming a dynamic optimization closed loop of "evaluation-monitoring-correction." This continuously improves the accuracy of understanding the underground flow field and ore layer connectivity, and constantly refines the leaching mining plan.

[0102] In a specific embodiment, referring to the foregoing example, the differentiated injection rates corresponding to segments L1, L2, and L3 are calculated respectively. The differentiated injection rate for L1 is: Q1 = (1 - 0.2) 6 / 2 = 2.4 m³ / h; L2 differentiated injection rate is: Q2 = (1 - 0.5) 6 / 2 = 1.5 m³ / h; L3 differentiated injection rate is: Q3 = (1 - 0.3) 6 / 2 = 2.1 m³ / h. At this point, based on the calculated results of the differentiated injection rates, stratified water injection tubing is configured, and differentiated injection is carried out into L1, L2, and L3 at rates of 2.4 m³ / h, 1.5 m³ / h, and 2.1 m³ / h, respectively. Furthermore, after entering the formal production stage, a water absorption profile test is conducted on well W1 every quarter. Based on the latest data, the stratified injection rate is immediately and dynamically adjusted to ensure that the injection volume of each layer always matches the current formation connectivity, thereby achieving balanced, efficient, and long-term mining of uranium resources.

[0103] This application provides a method for determining the connectivity of a mineral layer. Compared with the prior art, this application, after completing layered perforation completion and inter-layer isolation in the target well logging, acquires wide-area electromagnetic monitoring data of the solvent in each layer in the planar direction after layer-by-layer injection; identifies multiple curve inflection points in the wide-area electromagnetic monitoring data, and determines the average seepage distance based on the curve inflection points; when it is determined based on the average seepage distance that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction, directional sealing operations are performed on the dominant seepage channel respectively. The system performs directional perforation operations in the weak seepage zone and collects wellbore flow profile data obtained from vertical water absorption profile tests. Based on the wellbore flow profile data, it determines the water absorption ratio of each perforation section and the mineral layer connectivity based on the water absorption ratio. This allows for the constraint and fusion of downhole dynamic monitoring data and surface wide-area electromagnetic monitoring data, achieving complementary advantages and a more refined and reliable three-dimensional spatial description of mineral layer connectivity (including vertical subdivision and planar distribution). This improves the understanding of the underground seepage field and thus enhances the accuracy of determining mineral layer connectivity.

[0104] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this application provides a device for determining the connectivity of ore layers, such as... Figure 5 As shown, the device includes:

[0105] The acquisition module 21 is used to acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after the target logging completes the layered perforation completion and interlayer isolation.

[0106] The first determining module 22 is used to identify multiple curve inflection points in the wide-area electromagnetic monitoring data and determine the average seepage distance based on the curve inflection points;

[0107] The execution module 23 is used to perform directional sealing operation on the dominant seepage channel and directional perforation operation on the weak seepage area when it is determined that there is a dominant seepage channel in the first target direction and a weak seepage area in the second target direction based on the average seepage distance, and to collect wellbore flow profile data obtained from vertical water absorption profile test.

[0108] The second determining module 24 is used to determine the water absorption ratio of each perforation section based on the wellbore flow profile data, and to determine the mineral layer connectivity based on the water absorption ratio.

[0109] Furthermore, the first determining module is specifically used to draw a wide-area electromagnetic monitoring image based on the wide-area electromagnetic monitoring data, and determine multiple curve inflection points from the wide-area electromagnetic monitoring image; determine a distance dataset based on the wellhead location and the curve inflection points; and calculate the average seepage distance after removing the maximum and minimum distances from the distance dataset.

[0110] Furthermore, the first determining module is also configured to: if there is a first distance data in the distance dataset that is greater than a first preset multiple of the average seepage distance, determine the direction corresponding to the first distance data as a first target direction, and determine that there is a dominant seepage channel in the first target direction; and / or, if there is a second distance data in the distance dataset that is less than a second preset multiple of the average seepage distance, determine the direction corresponding to the second distance data as a second target direction, and determine that there is a weak seepage zone in the second target direction.

[0111] Furthermore, the execution module is specifically used to perform a vertical water absorption profile test on all well sections according to a preset total flow rate; and to obtain the water absorption rate of each layer of the injected test solvent and the single-layer injection rate during the execution of the water absorption profile test.

[0112] Furthermore, the second determining module is specifically used to sort the water absorption ratio corresponding to each layer segment; and to determine the mineral layer connectivity of each mineral layer segment based on the sorting result, wherein the mineral layer connectivity includes high connectivity segments and low connectivity segments.

[0113] Furthermore, the acquisition module is specifically used to perform layer-by-layer fluid injection operations on the target well logging layer by layer in a bottom-up order; during the injection of solvent in each layer, the wide-area electromagnetic monitoring system is activated to collect the wide-area electromagnetic monitoring data.

[0114] Furthermore, the execution module is also used to determine a matching differentiated injection rate based on the connectivity of the ore layers corresponding to each segment, and to perform layered injection on each segment based on the differentiated injection rate, wherein different ore layer connectivity corresponds to different single-layer injection rates.

[0115] This application provides a device for determining the connectivity of a mineral layer. Compared with the prior art, this application acquires wide-area electromagnetic monitoring data of the solvent in each layer in the planar direction after layer-by-layer perforation completion and inter-layer isolation following target logging; identifies multiple curve inflection points in the wide-area electromagnetic monitoring data, and determines the average seepage distance based on the curve inflection points; when it is determined based on the average seepage distance that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction, directional sealing operations are performed on the dominant seepage channel respectively. The system performs directional perforation operations in the weak seepage zone and collects wellbore flow profile data obtained from vertical water absorption profile tests. Based on the wellbore flow profile data, it determines the water absorption ratio of each perforation section and the mineral layer connectivity based on the water absorption ratio. This allows for the constraint and fusion of downhole dynamic monitoring data and surface wide-area electromagnetic monitoring data, achieving complementary advantages and a more refined and reliable three-dimensional spatial description of mineral layer connectivity (including vertical subdivision and planar distribution). This improves the understanding of the underground seepage field and thus enhances the accuracy of determining mineral layer connectivity.

[0116] According to one embodiment of this application, a storage medium is provided, the storage medium storing at least one executable instruction that can perform the method for determining the connectivity of mineral layers in any of the above method embodiments.

[0117] Figure 6 The diagram shows a structural schematic of a terminal according to one embodiment of the present application. The specific embodiments of the present application do not limit the specific implementation of the terminal.

[0118] like Figure 6 As shown, the terminal may include: a processor 302, a communications interface 304, a memory 306, and a communications bus 308.

[0119] The processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308.

[0120] Communication interface 304 is used to communicate with other network elements such as clients or other servers.

[0121] The processor 302 is used to execute program 310, specifically the relevant steps in the above-described method embodiment for determining the connectivity of mineral layers.

[0122] Specifically, program 310 may include program code that includes computer operation instructions.

[0123] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The terminal includes one or more processors, which may be processors of the same type, such as one or more CPUs; or they may be processors of different types, such as one or more CPUs and one or more ASICs.

[0124] Memory 306 is used to store program 310. Memory 306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0125] Specifically, program 310 can be used to cause processor 302 to perform the following operations:

[0126] After completing the layered perforation completion and interlayer isolation in the target logging, acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after layer-by-layer injection.

[0127] Identify multiple curve inflection points in the wide-area electromagnetic monitoring data, and determine the average seepage distance based on the curve inflection points;

[0128] When it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, a directional sealing operation is performed on the dominant seepage channel and a directional perforation operation is performed on the weak seepage zone, and wellbore flow profile data obtained from vertical water absorption profile test is collected.

[0129] The water absorption ratio of each perforation section is determined based on the wellbore flow profile data, and the mineral layer connectivity is determined based on the water absorption ratio.

[0130] Obviously, those skilled in the art should understand that the modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0131] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for determining the connectivity of ore layers, characterized in that, include: After completing the layered perforation completion and interlayer isolation in the target logging, acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after layer-by-layer injection. Identify multiple curve inflection points in the wide-area electromagnetic monitoring data, and determine the average seepage distance based on the curve inflection points; When it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, a directional sealing operation is performed on the dominant seepage channel and a directional perforation operation is performed on the weak seepage zone, and wellbore flow profile data obtained from vertical water absorption profile test is collected. The water absorption ratio of each perforation section is determined based on the wellbore flow profile data, and the mineral layer connectivity is determined based on the water absorption ratio.

2. The method according to claim 1, characterized in that, The step of identifying multiple curve inflection points in the wide-area electromagnetic monitoring data and determining the average seepage distance based on the curve inflection points includes: A wide-area electromagnetic monitoring image is drawn based on the wide-area electromagnetic monitoring data, and multiple curve inflection points are determined from the wide-area electromagnetic monitoring image; The distance dataset is determined based on the wellhead location and the inflection point of the curve. After removing the maximum and minimum distances from the distance dataset, the average seepage distance is calculated.

3. The method according to claim 2, characterized in that, The method further includes: If a first distance data point in the distance dataset is greater than a first preset multiple of the average seepage distance, then the direction corresponding to the first distance data point is determined to be a first target direction, and a dominant seepage channel is determined to exist in the first target direction; and / or, If there is a second distance data in the distance dataset that is less than a second preset multiple of the average seepage distance, then the direction corresponding to the second distance data is determined to be the second target direction, and a weak seepage zone is determined to exist in the second target direction.

4. The method according to claim 3, characterized in that, The wellbore flow profile data obtained from the vertical water intake profile test includes: Vertical water absorption profile tests were performed on all well sections according to the preset total flow rate. Obtain the water absorption rate of each layer and the single-layer injection rate of the injected test solvent collected during the water absorption profile test.

5. The method according to claim 4, characterized in that, The determination of ore layer connectivity based on the water absorption ratio includes: Sort the percentage of water absorption corresponding to each layer; The mineral layer connectivity of each mineral layer segment is determined based on the sorting results. The mineral layer connectivity includes high connectivity segments and low connectivity segments.

6. The method according to claim 1, characterized in that, The acquisition of wide-area electromagnetic monitoring data of the leachate in each layer in the planar direction after layer-by-layer injection includes: Perform layer-by-layer fluid injection operations on the target well logging in a bottom-up order; During the injection of the solvent at each layer, a wide-area electromagnetic monitoring system is activated to collect the wide-area electromagnetic monitoring data.

7. The method according to any one of claims 1-6, characterized in that, After determining the connectivity of the ore layer based on the water absorption ratio, the method further includes: Based on the connectivity of the ore layers corresponding to each segment, a matching differentiated injection rate is determined, and layered injection is performed on each segment based on the differentiated injection rate, wherein different ore layer connectivity corresponds to different single-layer injection rates.

8. A device for determining the connectivity of a mineral layer, characterized in that, include: The acquisition module is used to acquire wide-area electromagnetic monitoring data of the solvent in each layer in the plane direction after the target well is completed with layered perforation completion and interlayer isolation. The first determining module is used to identify multiple curve inflection points in the wide-area electromagnetic monitoring data and determine the average seepage distance based on the curve inflection points; The execution module is used to perform directional plugging operations on the dominant seepage channel and directional perforation operations on the weak seepage zone when it is determined that there is a dominant seepage channel in the first target direction and a weak seepage zone in the second target direction based on the average seepage distance, and to collect wellbore flow profile data obtained from vertical water absorption profile testing. The second determining module is used to determine the water absorption ratio of each perforation section based on the wellbore flow profile data, and to determine the mineral layer connectivity based on the water absorption ratio.

9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1-7.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1-7.

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