A method and device for determining an enrichment zone of a sandstone-type uranium deposit and a storage medium

Abstract

The application relates to a sandstone type uranium ore enrichment zone determination method and device and a storage medium. The method comprises the following steps: obtaining the thorium element content in a spectral logging; calculating the uranium element content according to the thorium element content; calculating a sedimentary environment factor; calculating a clay mineral relative content factor; calculating a argillaceous content factor; calculating an organic matter content factor curve; calculating a ore-controlling comprehensive evaluation parameter; and determining a uranium abnormal enrichment section. The sandstone type uranium ore enrichment zone determination method, device and storage medium provided by the embodiment of the application can effectively calculate the ore body enrichment depth, thereby reducing the exploration cost, improving the exploration success rate, and being applicable to new area exploration, and having high popularization and application value.

Description

TECHNICAL FIELD

[0001] The application relates to the field of uranium ore enrichment zone determination, in particular to a sandstone type uranium ore enrichment zone determination method and device and a storage medium. BACKGROUND

[0002] In 1983, Shen Ping et al. published "Distribution characteristics of uranium, thorium and potassium in sedimentary rocks" in Acta Sedimentologica Sinica, which discussed that the distribution of uranium, thorium and potassium in sedimentary rocks showed certain regularity in space. Generally, the concentration of uranium increases towards the center of the sedimentary basin, while the concentration of thorium and potassium increases towards the nearshore source area. It is also pointed out that the content of uranium, thorium and potassium in mudstone is relatively high, and the high value zone of uranium, thorium and potassium distribution is in the sedimentary section. In 2016, Guo Xusheng et al. established a clay mineral total content prediction model in the patent "Method for predicting clay mineral and component content of shale gas reservoir", predicted the absolute content of clay mineral total content, created a clay mineral skeleton model in the patent "Pore volume calculation method of variable clay skeleton", created a relationship between thorium-uranium ratio curve and clay mineral content in the patent "Method for determining clay mineral content of shale gas reservoir", realized quantitative evaluation of clay minerals, and applied trace elements to determine the original cause of oxidation and sedimentation in the patent "Identification method of original cause oxidation and sedimentation formation";

[0003] The above methods discuss the application of radioactive logging in shale gas reservoir or other reservoir evaluation, including calculation of clay mineral skeleton porosity, clay mineral content and clay mineral total content, and application of thorium-uranium ratio to determine the environment. However, the above patents have the following limitations in the application of sandstone type uranium ore prospecting method:

[0004] ①At present, the methods for determining the ore body trend of sandstone type uranium deposit include structural ore-controlling method, interlayer oxidation zone ore-controlling method, diabase ore-controlling method, organic matter ore-controlling method and other methods. Each method has certain disadvantages and is not universally applicable. For example, the premise of determining the ore body trend of interlayer oxidation zone is that there are a large amount of logging data in the area, and the approximate range of the interlayer oxidation zone is circled. Secondly, the method of determining mineralization of interlayer oxidation zone can only be used in a certain area, and the range of the ratio needs to be redefined in other areas. The diabase ore-controlling method requires a large amount of seismic interpretation. The shallow seismic data is limited in quality and cannot clearly identify diabase. There is no direct evidence to prove that diabase has a direct ore-controlling effect, and it is all a rough guess. The porosity and permeability ore-controlling method also has certain disadvantages. That is, where uranium is enriched, the porosity and permeability will mutate. However, places with large variation coefficients of porosity and permeability are not necessarily mineralized. The organic matter ore-controlling method is actually a relatively reliable point prediction method. However, in the braided river delta facies, the river channel changes quickly, and the distribution of organic matter is not obvious. ②In the literature search, various methods for predicting clay minerals in reservoirs are searched. It is believed that clay minerals can be predicted by various methods. However, the above patent only mentions the quantitative relationship of clay minerals, does not explain the relationship with mineralization in detail, and does not use clay minerals to predict the trend of ore body, let alone use thorium and potassium to determine the trend of uranium ore body. ③Some scholars have proposed that the spatial distribution of uranium, thorium and potassium shows certain regularity and has a certain relationship with the distribution of uranium deposits, and the source direction can be determined. However, this is only an indication of correlation and cannot specifically guide the prospecting direction. The range is too wide and the implementation is difficult. SUMMARY

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a sandstone type uranium deposit enrichment zone determination method, device and storage medium.

[0006] In a first aspect, the present application provides a sandstone type uranium deposit enrichment zone determination method, which comprises the following steps:

[0007] Obtaining the content of thorium element in spectral logging;

[0008] Calculating the content of uranium element according to the content of thorium element;

[0009] Calculating the sedimentary environment factor;

[0010] Calculating the relative content factor of clay minerals;

[0011] Calculating the argillaceous content factor;

[0012] Calculating the organic matter content factor curve;

[0013] Calculating the ore-controlling comprehensive evaluation parameter;

[0014] Judging uranium abnormal enrichment section.

[0015] Preferably, the expression of the uranium content is:

[0016] ;

[0017] wherein, represents the uranium content value measured according to the thorium content, represents the sedimentary environment factor, represents the thorium content value measured by the spectral logging, represents the correlation coefficient.

[0018] Preferably, the calculation of the sedimentary environment factor comprises the steps of:

[0019] obtaining the content value of the thorium element;

[0020] obtaining the content value of the uranium element;

[0021] calculating the ratio of the content value of the thorium element and the content value of the uranium element;

[0022] taking the ratio as the sedimentary environment factor.

[0023] Preferably, the expression of the sedimentary environment factor is:

[0024] ;

[0025] wherein, represents the sedimentary environment factor, represents the content value of the thorium element, represents the content value of the uranium element.

[0026] Preferably, the calculation of the clay mineral relative content factor comprises the steps of:

[0027] calculating the content of the clay mineral through the content of the thorium element;

[0028] calculating the content of the clay mineral through the content of the potassium element;

[0029] carrying out the sedimentary facies division through the identification and classification of the clay mineral.

[0030] Preferably, the expression of the argillaceous content factor is:

[0031] ;

[0032] wherein C represents the argillaceous content factor, GCUR represents the rock coefficient, and SHCGR represents the stratum uranium-free gamma argillaceous content.

[0033] Preferably, the expression of the ore-controlling comprehensive evaluation parameter is:

[0034] ;

[0035] wherein G represents a comprehensive evaluation parameter of ore-controlling, A represents a sedimentary environment factor, B represents a clay mineral relative content factor, C represents a argillaceous content factor, and D represents an organic matter content factor curve.

[0036] Preferably, the determining the uranium abnormal enrichment section comprises the steps of:

[0037] determining whether the thorium element content value of the current region is greater than a preset value;

[0038] if yes, determining that the current region is the uranium abnormal enrichment section.

[0039] In a second aspect, a device for determining a sandstone-type uranium mine enrichment zone is provided, comprising:

[0040] a thorium element content obtaining module, configured to obtain a thorium element content in spectral logging;

[0041] a uranium element content calculating module, configured to calculate a uranium element content according to the thorium element content;

[0042] a sedimentary environment factor calculating module, configured to calculate a sedimentary environment factor;

[0043] a clay mineral relative content factor calculating module, configured to calculate a clay mineral relative content factor;

[0044] an argillaceous content factor calculating module, configured to calculate an argillaceous content factor;

[0045] an organic matter content factor curve calculating module, configured to calculate an organic matter content factor curve;

[0046] a comprehensive evaluation parameter of ore-controlling calculating module, configured to calculate a comprehensive evaluation parameter of ore-controlling;

[0047] a uranium abnormal enrichment section determining module, configured to determine a uranium abnormal enrichment section.

[0048] In a third aspect, an electronic device is provided, comprising:

[0049] at least one processor; and

[0050] a memory connected with the at least one processor in communication; wherein

[0051] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute any of the foregoing sandstone-type uranium mine enrichment zone determination methods.

[0052] In a fourth aspect, a non-transitory computer-readable storage medium is provided, which stores computer instructions for causing a computer to execute the method for determining an enrichment zone of a sandstone-type uranium deposit.

[0053] Compared with the prior art, the technical solution provided by the embodiments of the present application has the following advantages:

[0054] The method, device and storage medium for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application can effectively calculate the enrichment depth of an ore body, thereby reducing exploration costs, improving the success rate of exploration, and being applicable to new area exploration, and having high popularization and application value. BRIEF DESCRIPTION OF DRAWINGS

[0055] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0057] Figure 1 is a flowchart of a method for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application;

[0058] Figure 2 is a structural schematic diagram of a device for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application;

[0059] Figure 3 is a structural schematic diagram of an electronic device provided by the present application;

[0060] Figure 4 is a structural schematic diagram of a non-transitory computer-readable storage medium provided by the present application;

[0061] Figure 5 is a well spectral logging chart diagram of a method for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application;

[0062] Figure 6 is a Schlumberger chart diagram of a method for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application;

[0063] Figure 7 is a relationship chart between a sedimentary environment and mineralization of a method for determining an enrichment zone of a sandstone-type uranium deposit provided by the embodiments of the present application;

[0064] Figure 8 is a comprehensive interpretation graph of well energy spectrum logging in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0065] Figure 9 is a Schlumberger graph schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0066] Figure 10 is an organic matter factor and ore body distribution relationship interpretation graph schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0067] Figure 11 is an organic matter factor formula schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0068] Figure 12 is a comprehensive interpretation graph of argillaceous content and ore body relationship in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0069] Figure 13 is an ore body distribution schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0070] Figure 14 is a clay mineral factor schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0071] Figure 15 is an interpretation and evaluation result schematic diagram of a well in a new block of a research area in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0072] Figure 16 is an organic matter factor D and ore body relationship distribution graph schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application;

[0073] Figure 17 is a comprehensive evaluation factor G and ore body relationship distribution graph schematic diagram in a sandstone type uranium ore enrichment zone determination method provided by the embodiment of the present application. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0075] Figure 1A flowchart of a sandstone-type uranium ore enrichment zone determination method provided in the embodiments of the present application.

[0076] The uranium, thorium and potassium contents in the sediment of the sedimentary circle of the crust are shown in Table 1. Taking the QJD area as an example of a sandstone-type uranium ore enrichment area, the drilled wells have been interpreted and the well shows of the energy spectrum logging have been completed. The energy spectrum logging shows that the uranium content value varies greatly, and the maximum can reach several thousand PPm. The uranium content of the red sandstone of the primary lake-alluvial facies is about 2.2, and the background value of the QJD area has reached 6.2. The thorium content also varies greatly, and the maximum can also reach several hundred PPm. In the ore body enrichment area, the potassium also has a large variation range in some segments. It is generally believed in geochemical research that the thorium element is directly related to uranium enrichment, and the potassium element is not related to uranium enrichment. In the uranium mineralization abnormal area of the QJD area, the thorium value has a large abnormal value, and the potassium value also has a large abnormal value. This phenomenon is also common in other sandstone-type uranium deposits. Therefore, the thorium and potassium abnormalities can be used as an index for determining the sandstone-type uranium abnormality.

[0077] Table 1 shows the uranium, thorium and potassium contents in the sediment of the upper Cretaceous stratum of the SL basin.

[0078]

[0079] The present application provides a sandstone-type uranium ore enrichment zone determination method, which comprises the following steps:

[0080] S1: obtaining the thorium element content in the energy spectrum logging;

[0081] S2: calculating the uranium element content according to the thorium element content;

[0082] Specifically, the uranium chemical property is relatively active, and belongs to a typical oxygen element. The compound formed by the thorium element has stable properties, and is mainly mechanically migrated and is generally not disturbed by other factors. The salts formed by potassium in different environments are easy to migrate. The thorium element can truly reflect the element distribution characteristics in the original state of the stratum. For the sandstone-type uranium ore, potassium is invalid, and the radon and its daughter bodies generated by the deep uranium element or thorium element decay can be transported upward through the upward transport channels provided by the faulted structure. Therefore, uranium or thorium can be used as an indicator element. In many areas, the interference information is usually normalized by thorium. The application formula is: QUy=AQTh+B, QU d =QU-QUy

[0083] QUy---the uranium content value measured according to the thorium content;

[0084] Therefore, there is a linear relationship between thorium and uranium, and the content of uranium can be directly determined according to the content of thorium, but the coefficient is different in each region. The actual thorium element cannot completely reflect the enrichment degree of uranium ore body, but it is a simple, direct and fast method. In a new area evaluation, the drilling is less, and due to the instability of uranium, the background value can be roughly determined by the thorium value. If there is a thorium anomaly and the anomaly value is high, the uranium mineralization conditions can be preliminarily determined. When the local Th value is greater than 50PPm, the possibility of forming an industrial mine is relatively high. If the thorium value is higher than three times the base value, it can be determined that there is a possibility of mineralization. If there is no thorium anomaly, there is basically no mineralization. The following method is applied to the mature block in step three.

[0085] S3: Calculate the sedimentary environment factor;

[0086] Specifically, the environment is determined by applying TH / U and TH / K ratios. The enrichment of uranium is controlled by the sedimentary environment and sedimentary facies. When the sedimentary environment transitions to the nearshore facies and shallow water sedimentary facies, it is the key factor controlling uranium enrichment. During the nearshore shallow water sedimentary period, the water over water and water under water alternating sedimentary environment is produced, causing the early sedimentary strata to be subjected to weathering leaching, producing a series of chemical weathering and sedimentary products, including a large amount of clay minerals (iron clay minerals, illite minerals, kaolinite minerals, chlorite, etc.). These clay minerals have gathered a large amount of uranium, thorium and potassium ions to form uranium, thorium and potassium enrichment and mineralization. This method mainly applies TH / U ratio to determine the sedimentary environment of the ore body in combination with the intersection diagram method. As shown in (attached Figure 7 ), this method applies TH / U ratio to set the sedimentary environment factor A, A<2 for reducing environment, 2<A<7 for transition environment, and A>7 for oxidizing environment or weathering facies containing bauxite. The environment factor A>7 transitions to 2<A<7 frequently alternating environment, and then transitions to A<2 more than 10 meters thick stable environment as enrichment zone. The sequence on the profile is from old to new, and on the plane, as long as there is this transition, it is an enrichment zone. TH / K has a linear relationship with organic matter, and the regional formula is simulated by applying the module to determine the size of the effect of organic matter factor on mineralization.

[0087] S4: Calculate the relative content factor of clay minerals;

[0088] Specifically, clay minerals have unsaturated charge and large specific surface area, which determines the characteristics of clay minerals such as adsorption, ion exchange, swelling, dispersion, coagulation and plasticity. They have physical and chemical adsorption, and can adsorb a large amount of radioactive substances during the deposition process, thereby causing the increase of radioactive content in the strata due to the increase of argillaceous matter. Different clay minerals have different adsorption capacities for uranium, thorium and potassium. The contents of uranium, thorium and potassium are different in spectroscopic logging. Therefore, the calculation of the content of these minerals can reflect the amount of uranium adsorption. However, the content of clay minerals is related to the contents of thorium and potassium in spectroscopy. The method and principle of calculating the relative content factor of clay minerals are as follows:

[0089] (1) Calculate the clay mineral content by TH content:

[0090] Since TH content reflects the relative value of chemical alteration degree, K element reflects the relative value of feldspar migration degree, and U represents the relative content of U in the area, the soluble substances generated in the weathering and hydrolysis process of potassium feldspar, such as potassium carbonate, potassium hydroxide, and colloidal silicon dioxide, are lost with water, and only kaolinite, muscovite, and part of silicon dioxide are left. After a long geological period, clay minerals are formed. Therefore, thorium can reflect the relative content of clay minerals in an area. Although the TH anomaly is large, the base value does not change much. In areas with low weathering and erosion degree, the TH value is relatively stable, and the potassium base value is also relatively stable, making it easy to obtain the base value. TH clay mineral relative content: the relative content of clay minerals is calculated by referring to the method of calculating argil content by non-uranium gamma:

[0091] B1=VTHi=(THi-TH 基值 ) / (THmax-TH 基值 ),(i=1,2...certain depth point)

[0092] (2) Calculate the clay mineral content by K content:

[0093] K minerals produced by the hydrolysis of potassium feldspar are easy to migrate, and potassium content usually increases with the fineness of rock flow. The K positive and negative anomalies in the sandstone-type uranium enrichment area are verified by the chart. The clay minerals in the area are mainly chlorite and illite. The positive anomaly area is mainly affected by the increase of clay mineral illite (positive anomaly area indicates the increase of clay mineral illite), representing the enrichment of clay minerals. The negative anomaly area of K element represents that the strata parent rock in the area is subjected to strong leaching, and potassium is lost. Leaching also produces a large amount of clay minerals, thereby adsorbing uranium. Therefore, both positive and negative potassium anomalies play an active role in mineralization. In the sandstone-type uranium mineralization area, the water body is relatively stable, and the element migration distance is relatively short, so potassium will appear positive and negative anomalies. Both positive and negative clay mineral content anomalies are caused by clay minerals that have a concentration effect on mineralization. Therefore, the K anomaly superposition absolute value method under two conditions is used to calculate the relative content of clay minerals: B2=VKi=(|Ki-K 基值 |) / K 基值 , (i=1,2...)

[0094] (3) Sedimentary facies division by clay mineral identification and classification.

[0095] Different types of clay minerals play different roles in uranium mineralization. Kaolinite has large particles and is easy to migrate, which can block the throat and enrich U and Th molecules, making them difficult to migrate. Illite has certain swelling and dispersion properties, and is water-sensitive and quick-sensitive, which can reduce the throat and play a similar role to kaolinite. Green mudstone is acid-sensitive and can form Fe(OH)3 gel in an oxidizing environment, which can block pores and throats and make U and Th be squeezed out, so it is difficult for iron-rich reservoirs to enrich Th and U. Therefore, the red layer is not mineralized. Illite-smectite mixed layer has high hydrophilicity, swelling and very high specific surface area, and has adsorption effect on U and Th. Therefore, the clay minerals identified on the chart can play a role in adsorption and aggregation for mineralization. However, different types of clay minerals have different effects on mineralization. Most clay minerals in sandstone are favorable factors for uranium mineralization, but the effects are different, so the B3 parameter of each type of clay mineral is kaolinite B3 = 1, illite B3 = 2, illite-smectite mixed layer B3 = 4, and other clay B3 = 0.5. If iron clay appears, B3 = 0.

[0096] Apply Schlumberger TH-K interpretation chart (attached Figure 6 ), combined with the relationship between TH / K ratio and clay mineral type (Table 2), combined with core and cutting data to identify and classify clay minerals: determine the type of clay mineral, and determine the sedimentary facies. TH / K is used to determine the hydrodynamic conditions, argillaceous content, clay mineral content, and organic matter content during sedimentation. High TH / K ratio represents high organic matter content in the area, and high TH / K ratio represents high clay mineral content in the area. Large range of TH / K ratio indicates that the hydrodynamic conditions in the area change greatly in strength, and stability indicates that the hydrodynamic conditions in the area are stable.

[0097] Table 2 Relationship between TH / K ratio and clay mineral type

[0098]

[0099] For example, a well in QJD area shows that the clay type is mainly illite, followed by mica and green mudstone, and a small amount of layered mixture. The U, TH and K contents are relatively high, indicating that the argillaceous content is high, the organic matter abundance is high, the TH / K ratio changes greatly, indicating that the argillaceous content is high and low, the hydrodynamic conditions are strong and weak, and the sedimentary environment frequently transitions between low-energy reducing environment and high-energy oxidizing environment. The TH / U ratio is less than 2, indicating that the sedimentary environment is mainly low-energy reducing environment. Based on the above analysis, this section of strata is characterized by delta front facies deposition.

[0100] The TH anomaly in the area can mainly reflect the relative amount of clay minerals produced by weathering, alteration and chemical deposition, while the potassium anomaly directly reflects the adsorption capacity of clay minerals. Therefore, the uranium accumulation capacity in the area is determined by superimposing two variables, and the total relative clay mineral content is simply superimposed by multiple variables: B = Vclayi = B3* (B1 + B2), (i = 1, 2,...), and the Vclayi data is loaded into a new column of the logging curve, representing the relative content of clay minerals.

[0101] S5: Calculate the shale content factor;

[0102] Specifically, the shale content is composed of clay minerals and impurities, including siltstone and limestone, etc. In the sandstone-type uranium enrichment area, siltstone and argillaceous siltstone and silty mudstone layers all have adsorption effect on uranium, belonging to uranium enrichment reservoirs. Therefore, the shale content, as a metallogenic factor, needs to be considered for its effect on mineralization. The shale content can be calculated by using energy spectrum logging. In the sandstone-type uranium enrichment area, since there are large-scale uranium anomalies in the area, many GR values do not represent the shale content. Therefore, the shale content is calculated by using the non-uranium gamma logging curve in the area, which is closer to the true value of the shale content.

[0103] The formula used is: SHCGR = (CGR-CGRmin) / (CGRmax-CGRmin);

[0104] C = VSHCGR = (2GCUR*SHCGR-1) / (2GCUR-1), and the calculated shale content factor C is added to the logging curve column.

[0105] SHCGR is the relative value of the logging curve for calculating the shale content; VSHCGR is the shale content of the non-uranium gamma of the formation; CGR is the measured non-uranium gamma value API; CGR is the non-uranium gamma value of pure formation, API; CGRmin is the non-uranium gamma value of pure mudstone formation, API; GCUR is the rock coefficient; and the old formation is 2.

[0106] S6: Calculate the organic matter content factor curve;

[0107] Specifically, the organic matter content has a direct relationship with the TH / K value. Since there are a large number of Th anomalies and K anomalies in the area, it is not possible to calculate according to the linear relationship. Through the fitting of the test samples and batch data points in the study area, the empirical formula of the area is obtained, and the data is added to the logging curve column as the relative organic matter content factor D. Combined with the type of clay minerals and the richness of organic matter content, the enrichment depth range can be preliminarily judged.

[0108] S7: Calculate the ore-controlling comprehensive evaluation parameter;

[0109] Specifically, from the analysis of the above various ore-controlling factors, it can be seen that the ore body distribution is mainly controlled by the four ore-controlling factors A, B, C and D, and the conditions are indispensable. Through multiple fitting, the empirical formula G= (D+42*B+83*C) / A*7 is obtained, which can accurately judge the uranium enrichment degree, and the accuracy is as high as 90% or more. This method is also applicable to new area exploration with only one well. By applying the energy spectrum logging curve, the enrichment degree of U can be basically determined. Even if there is no uranium anomaly in the area, the calculated variables can basically determine the weathering leaching degree of the area and the probability of chemical deposition. If these values are higher than those in other areas of the basin, it can be judged that the area has ore-forming potential, which can guide well deployment and new area exploration to predict the trend of ore bodies.

[0110] S8: judging a uranium anomaly enrichment section.

[0111] Specifically, the step of judging the uranium anomaly enrichment section comprises the steps of:

[0112] judging whether the thorium element content value of the current area is greater than a preset value;

[0113] If yes, the current area is judged as a uranium anomaly enrichment section.

[0114] In the embodiment of the present application, when the thorium element content value is greater than 50PPm or three times the regional background value, the current area is determined to be a sandstone type uranium enrichment area.

[0115] Embodiment

[0116] Embodiment one: The present application has tested the ZQ area and the LD area which have been deployed. The two areas have been predicted to have ore-forming conditions by applying the method of interlayer oxidation zone. In recent years, many exploration wells have been deployed, but the effect is not ideal. The method of increasing exploration wells to explore the interlayer oxidation zone is not ideal. By applying the method, step one: whether Th and K values exist abnormally in the energy spectrum logging is determined. Th and K anomalies are not found in multiple exploration wells. The other ore-forming conditions in the two areas are similar to those in the QJD area, and the mineralization anomaly display is not ideal. The main reason is that the weathering leaching degree of the area is low, the clay mineral content is low, and enough uranium cannot be gathered, so the ore-forming degree is low. Especially in the ZQ area, the TH anomaly value is much lower than the background value of the QJD area, and the Th>50PPm value is even lower. Almost no weathering leaching effect and very low clay mineral content basically do not have ore-forming conditions. Therefore, the method is also very ideal for new area exploration.

[0117] Embodiment two: Before the present application is applied to a certain block in the study area, the method of deploying the method of identifying the interlayer oxidation zone is applied. Because the number of existing wells is not large, it is difficult to determine the range of the transition zone, so the method is used to analyze the drilled wells in the area, such as (attached Figure 15) From the redox environment, the block frequently repeated oxidation-reduction, only two relatively stable reducing environment, according to step one: Th anomaly is higher than the background value, step two, Th anomaly value is higher than 50PPm no, but, close to 50PPm. Step three: environmental factors A <7 most, consistent with the determination conditions, step four: clay mineral factor, generally greater than 0.3, indicating that the area weathering leaching single clay mineral is not enough, the whole well section weathering leaching is not enough, step five: argillaceous content calculation has high abnormal area, indicating that if the mineralization is related to argillaceous sandstone or siltstone related mineralization layer, step six: organic matter factor determination, only one layer D>10, so the determination is that the argillaceous content of sandstone plays an important role in mineralization. Clay mineral factor is slightly high, organic matter is rich, mainly look at the sedimentary environment, if there is a long period of reducing environment in the block, it can be mineralized. According to the distribution of argillaceous content, 17 wells were deployed in the area, and industrial wells were seen, which achieved good results.

[0118] Example three: the dark mudstone content of a certain block in the study area is low, and the interlayer oxidation zone identification is also difficult, in the deployment process, the interlayer oxidation zone boundary is adjusted constantly. The method is used to re-determine the ore body trend in the area, and the prediction of the deployment of the reconnaissance well also achieves good results. Based on this, the industrial mine rate of the exploration well reaches more than 60%. It basically achieves the purpose of improving the exploration accuracy, and from the currently drilled wells, this rule is generally applicable. Since the block belongs to a mature block, it is mainly applied to determine the ore body trend and deploy well sites, steps one and two can be directly omitted, and a step of establishing a data work area is added. The specific steps are as follows:

[0119] Step one: establish a database of the study area, load the logging curves, and the area has been geologically layered. Load 2000 well spectral logging data, lithology data, thin section data, etc. The data is complete and can meet the research needs, and the application of GPT software can realize fast curve calculation and data statistics and basic mapping.

[0120] Step two: determine the sedimentary environment and sedimentary facies: such as (attached Figure 8)This well, the core color is determined that the upper gray sandstone is transition zone and the lower red sandstone is oxidation zone. The TH / U ratio is used to determine the actual application, through the environmental factor A, the curve range is 2-7, the ore-forming position of the well is a range of A < 2, which is a relatively long period of reducing environment in the alternating oxidation and reduction environment. In the lower part, the oxidation and reduction environment alternates too frequently, and there is not enough time to produce chemical deposition, so it is not conducive to mineralization. The actual mineralization zone occurs in the long period of reducing environment in the oxidation and reduction transition zone. At the same time, the TH / K value of the well is used to determine the sedimentary environment, the U, TH and K contents are relatively high, indicating that the argillaceous content is high, the organic matter abundance is high, the TH / K ratio changes in a large range, indicating that the argillaceous content is high and the hydrodynamic condition is strong, the sedimentary environment frequently transitions between low-energy reducing environment and high-energy oxidizing environment, and the TH / U ratio is less than 2, indicating that the sedimentary environment is mainly low-energy reducing environment. Based on the above analysis, the stratum of this section is characterized by delta front facies deposition, and the ore-forming environment belongs to favorable ore-forming conditions.

[0121] Step three: calculate the clay mineral content by TH and K content.

[0122] Determine the clay mineral type of the well: apply the Schlumberger interpretation chart (attached Figure 9 ) to the well, combined with core and cutting data, determine that the clay type is mainly illite, followed by mica and chlorite, and a small amount of layered mixture. Combined with the core thin section data in the area, there is a special type of clay mineral in the area, iron clay mineral, which is related to volcanic debris or volcanic activity. This type of mineral cannot be identified in this chart. The iron clay mineral and the content of volcanic debris in the high layer do not have ore-forming conditions. B3 is different in different wells, B3 = 1 for kaolinite, B3 = 2 for illite, B3 = 4 for illite-mica mixed layer, and B3 = 0.5 for other clays. If there is iron clay, B3 = 0.

[0123] B1 = VTHi = (THi - THmin) / (THmax - THmin), (i = 1, 2... a depth point)

[0124] B2 = VKi = (|Ki - K 基值 |) / K 基值 , (i = 1, 2...)

[0125] B = Vclayi = B3 * (VTHi + VKi) = B3 * (B1 + B2), (i = 1, 2...)

[0126] According to the above three formulas, a comprehensive clay mineral content can be calculated. The favorable ore-forming section determined by clay content in the area is completely consistent with the well logging interpretation results of the oilfield. For example, the attached Figure 14The maximum value of clay mineral content is applied to form a planar map, which is in good agreement with the distribution of the explored ore bodies.

[0127] Step four: calculate the shale content factor C using the uranium-free gamma ray curve: as shown in the attached Figure 12 The shale content is directly related to the distribution of ore bodies in sandstone formations, but the shale content of many shale formations is very high, mainly affected by shale, so the shale content cannot be used alone to determine the trend and distribution of ore bodies. In a certain study area in the region, the shale content is very low, and there is basically no dark shale. In the past, it was difficult to predict the trend of ore bodies using the distribution of dark shale to predict the trend of ore bodies. Therefore,

[0128] The formula used is: SHCGR = (CGR-CGRmin) / (CGRmax-CGRmin)

[0129] C = VSHCGR = (2GCUR*SHCGR-1) / (2GCUR-1), where GCUR is 2. The calculation results are listed separately in column C as the shale content factor curve. Using this method, the shale content calculation results for formations without shale are in good agreement with the logging interpretation results (as shown in the attached Figure 13 ). A planar distribution map is formed to predict the trend of ore bodies, and 5 wells are deployed inside the block, all of which have seen industrial ore layers.

[0130] Step five: use the linear relationship between organic matter content and TH / K. Fit the TH / K values in the QJD area with measured test sample measurements and batch data points (as shown in the attached Figure 11 ), so the empirical formula for the area is D = 2.031(TH / K)1.661, and this data is added to the logging curve column as the organic matter ore control factor D. Combine the clay mineral type and the richness of organic matter content to determine the enrichment depth range (as shown in the attached Figure 10 ). Find the maximum value of D for all wells, and use the maximum value to form an organic matter distribution planar map (as shown in the attached Figure 16 ), and predict the favorable area.

[0131] Step six: combine the ore control characteristics and ore control ability of each ore control factor to calculate the total comprehensive evaluation parameter G. From the analysis of the above ore control factors, it can be seen that the distribution of ore bodies is mainly controlled by A, B, C, and D, and the conditions are indispensable. The total evaluation standard of the area is obtained through comprehensive analysis, G = (D + 42*B + 83*C) / A*7. From this empirical formula, the uranium ore enrichment location is successfully identified (as shown in the attached Figure 17), after verification of more than 1000 wells, it is considered that the accuracy rate of this method is 100% effective, and the main ore-forming factors of the area can be obtained directly. The distribution characteristics of each area, A, B, C, and D of each layer, and the prediction of the ore body trend. The GPT software is applied to calculate the organic matter factor D, the argillaceous content factor C, and the clay mineral factor B in the study area. It can be seen that the clay mineral factor B is less than 0.3, the argillaceous content factor C is less than 0.4, the organic matter factor D is greater than 10, the sedimentary environment factor A is less than 7, and the comprehensive evaluation factor G is greater than 400, which is a favorable area.

[0132] As Figure 2 , a sandstone type uranium ore enrichment zone determination device is provided, comprising:

[0133] A thorium element content acquisition module 10 is configured to acquire thorium element content in spectral logging;

[0134] A uranium element content calculation module 20 is configured to calculate uranium element content according to the thorium element content;

[0135] A sedimentary environment factor calculation module 30 is configured to calculate a sedimentary environment factor;

[0136] A clay mineral relative content factor calculation module 40 is configured to calculate a clay mineral relative content factor;

[0137] An argillaceous content factor calculation module 50 is configured to calculate an argillaceous content factor;

[0138] An organic matter content factor curve calculation module 60 is configured to calculate an organic matter content factor curve;

[0139] A uranium ore-controlling comprehensive evaluation parameter calculation module 70 is configured to calculate a uranium ore-controlling comprehensive evaluation parameter;

[0140] A uranium abnormal enrichment section judgment module 80 is configured to judge a uranium abnormal enrichment section.

[0141] The sandstone type uranium ore enrichment zone determination device provided by the present application can perform the sandstone type uranium ore enrichment zone determination method provided by the above steps.

[0142] It should be understood that the above specific embodiments of the present application are only used for illustrative or explanatory purposes of the principles of the present application, and do not constitute a limitation on the present application. Therefore, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present application shall be included in the protection scope of the present application. In addition, the appended claims of the present application are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0143] The following will be described with reference toFigure 3 The diagram illustrates a structural schematic of an electronic device 100 suitable for implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0144] like Figure 3 As shown, the electronic device 100 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 into a random access memory (RAM) 103. The RAM 103 also stores various programs and data required for the operation of the electronic device 100. The processing unit 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0145] Typically, the following devices can be connected to I / O interface 105: input devices 106 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 107 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 108 including, for example, magnetic tapes, hard disks, etc.; and communication devices 109. Communication device 109 allows electronic device 100 to communicate wirelessly or wiredly with other devices to exchange data. Although an electronic device 100 with various devices is shown in the figure, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0146] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 109, or installed from storage device 108, or installed from ROM 102. When the computer program is executed by processing device 101, it performs the functions defined in the methods of embodiments of this disclosure.

[0147] The following is for reference. Figure 4It shows a structural schematic diagram of a computer readable storage medium suitable for being used to implement the embodiments of the present disclosure, the computer readable storage medium stores a computer program, the computer program can implement the sandstone type uranium ore enrichment zone determination method as any one of the above described when executed by a processor.

[0148] The sandstone type uranium ore enrichment zone determination method, device and storage medium provided by the embodiments of the present application can effectively calculate the ore body enrichment depth, thereby reducing the exploration cost, improving the exploration success rate, and can be applied to new area exploration, and has high popularization and application value.

[0149] It should be noted that, in this paper, relational terms such as "first" and "second" are only 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 terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0150] The above is only a specific embodiment of the present application, which enables 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 shown herein, but will conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A method for determining an enrichment zone of a sandstone-type uranium deposit, characterized in that, The method comprises the steps of: obtaining spectral logging data; calculating a sedimentary environment factor A based on a ratio of a thorium element content value TH in the spectral logging data and a uranium element content value U in the spectral logging data: A = TH / U; calculating a first clay mineral content B1 from the thorium element content value TH in the spectral logging data, calculating a second clay mineral content B2 from a potassium element content value K in the spectral logging data, determining a clay mineral parameter B3 through clay mineral identification and classification for sedimentary facies division, and then calculating a clay mineral relative content factor B = B3*(B1+B2); calculating a shale content factor C; calculating an organic matter relative content factor D, including that the organic matter content has a direct relationship with the TH / K value, fitting the empirical formula of the research area by measuring the test samples and batch data points in the research area, and adding the data to the logging curve column as the organic matter relative content factor D; obtaining an empirical formula through multiple fittings, calculating a ore-controlling comprehensive evaluation parameter G = (D+42*B+83*C) / A*7, and using the parameter to judge the uranium enrichment degree.

2. The method of claim 1, wherein the method is characterized by: The method further comprises: judging whether the thorium element content value of the current area is greater than a preset value according to the thorium element content value of the spectral logging data; if yes, judging that the current area is a uranium abnormally enriched section.

3. The method of claim 1, wherein the method is characterized by: The expression of the shale content factor is: Where C represents the shale content factor, GCUR is the rock factor, and SHCGR represents the formation uranium-free gamma shale content.

4. A device for determining the enrichment zone of sandstone-type uranium deposits for the method according to any one of claims 1 to 3, characterized in that The method comprises: a thorium element content acquisition module configured to obtain a thorium element content value in spectral logging; a uranium element content calculation module configured to calculate a uranium content value measured according to the thorium content value according to the thorium element content value in the spectral logging; a sedimentary environment factor calculation module configured to calculate a sedimentary environment factor; a clay mineral relative content factor calculation module configured to calculate a clay mineral relative content factor; a shale content factor calculation module configured to calculate a shale content factor; an organic matter content factor curve calculation module configured to calculate an organic matter content factor curve; an ore-controlling comprehensive evaluation parameter calculation module configured to calculate an ore-controlling comprehensive evaluation parameter; a uranium abnormally enriched section judgment module configured to judge a uranium abnormally enriched section.

5. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the sandstone-type uranium ore enrichment zone determination method of any one of the preceding claims 1-3. 6.A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the sandstone-type uranium ore enrichment zone determination method of any one of the preceding claims 1-3.

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