阅读说明：本技术 一种砂岩型铀矿资源量计算方法和装置 (Sandstone-type uranium ore resource amount calculation method and device ) 是由 刘卫红 方朝合 董大忠 葛稚新 曾博 刘人和 肖红平 韩维峰 张梦媛 苗盛 谷江 于 2019-01-04 设计创作，主要内容包括：本说明书实施例提供一种砂岩型铀矿资源量计算方法和装置。所述方法包括：根据井点中采集得到的自然伽马测量值,计算所述井点的自然伽马基值；通过将所述自然伽马测量值与所述自然伽马基值进行比较,标记所述井点中的异常层段；根据不同井点的异常层段和预设权重值,构建工区的三维模型；根据砂岩型铀矿的铀矿参数,使用所述三维模型,计算所述砂岩型铀矿的资源量。利用本方法,可以实现对测量区域砂岩型铀矿资源量的计算。(The embodiment of the specification provides a sandstone-type uranium ore resource amount calculation method and device. The method comprises the following steps: calculating a natural gamma base value of a well point according to a natural gamma measured value acquired from the well point; marking an abnormal interval in the well point by comparing the natural gamma measurements to the natural gamma base values; constructing a three-dimensional model of the work area according to the abnormal intervals of different well points and preset weight values; and calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore. By the method, the sandstone-type uranium ore resource amount in the measurement area can be calculated.)

1. A sandstone-type uranium ore resource amount calculation method is characterized by comprising the following steps:

calculating a natural gamma base value of a well point according to a natural gamma measured value acquired from the well point;

marking an abnormal interval in the well point by comparing the natural gamma measurements to the natural gamma base values;

constructing a three-dimensional model of the work area according to the abnormal intervals of different well points and preset weight values;

and calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore.

2. The method of claim 1, wherein prior to constructing the three-dimensional model of the work area, the method further comprises:

according to lithological data of different well points, marking a mudstone section area in the well point;

respectively removing the mudstone section areas from abnormal intervals of different well points;

correspondingly, the building of the three-dimensional model of the work area comprises the following steps:

and constructing a three-dimensional model of the work area according to the abnormal layer sections of the different well points after the mudstone section areas are removed and the preset weight values.

3. The method of claim 1, wherein said calculating a natural gamma base value for said well point comprises:

dividing the well point into a plurality of sections according to the distribution condition of the collected natural gamma measured values in the well point;

selecting the interval containing the most natural gamma measured values as a central interval;

selecting a plurality of block sections from the plurality of block sections by taking the central section as a reference standard to serve as a basic value calculation section;

and calculating the average value of the natural gamma measured values in the base value calculation interval as the natural gamma base value of the well point.

4. The method of claim 1, wherein the marking the abnormal interval in the well site comprises:

selecting a natural gamma measured value which is greater than or equal to a specified value from the natural gamma measured values of the well points as an abnormal value; the specified value is a specified multiple of the natural gamma base value;

and marking the distribution interval of the abnormal value in the well point as an abnormal interval.

5. The method of claim 1, wherein constructing the three-dimensional model of the work area comprises:

calculating natural gamma predicted values of all calculation points in the abnormal interval by using an interpolation method according to the abnormal interval of different well points and preset weight values;

and constructing a three-dimensional model of the work area according to the natural gamma predicted value of the calculation point.

6. The method of claim 5, wherein calculating the natural gamma prediction value for each calculated point in the abnormal interval comprises:

according to the formulaCalculating the natural gamma predicted value of each calculation point in the abnormal layer section, wherein z is₀To calculate the natural gamma prediction value, gamma, for a point_jIs a preset weight value, z_jIs a natural gamma measurement in the abnormal interval.

7. The method of claim 1, wherein the calculating an amount of sandstone-type uranium ore resources comprises:

segmenting the three-dimensional model into a plurality of segments;

respectively calculating the monomer resource amount of each division body;

and accumulating the monomer resource amount of the plurality of divided bodies to obtain the resource amount of the sandstone-type uranium ore.

8. The method of claim 7, the separately calculating the amount of individual resources for each partition, comprising:

according to formula P_jCalculating the monomer resource amount of each division body respectively; wherein, P_jThe uranium ore resource amount is the sandstone type uranium ore resource amount in a certain partition body, S is the area of the section of the partition body, M is the thickness of the partition body, D is the uranium ore resource density, and C is the uranium ore taste.

9. A sandstone-type uranium ore resource amount calculation device is characterized by comprising:

the natural gamma base value calculating module is used for calculating the natural gamma base value of the well point according to the natural gamma measured value acquired from the well point;

an abnormal interval marking module for marking an abnormal interval in the well point by comparing the natural gamma measured value with the natural gamma base value;

the three-dimensional model building module is used for building a three-dimensional model of the work area according to the abnormal layer sections of different well points and preset weight values;

and the resource amount calculation module is used for calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore.

10. The apparatus of claim 9, further comprising a mudstone segment removal module, the mudstone segment removal module comprising:

the mudstone segment marking subunit is used for marking a mudstone segment area in the well points according to lithological data of different well points;

the mudstone section removing subunit is used for removing the mudstone section areas from the abnormal layer sections of different well points respectively;

correspondingly, the three-dimensional model building module comprises:

and the model construction subunit is used for constructing a three-dimensional model of the work area according to the abnormal layer sections of the different well points after the mudstone section areas are removed and the preset weight values.

11. The apparatus of claim 9, wherein the natural gamma basis value calculation module comprises:

the interval segment dividing unit is used for dividing the well point into a plurality of interval segments according to the distribution condition of the collected natural gamma measured values in the well point;

the central interval determining subunit is used for selecting the interval containing the most natural gamma measured values as a central interval;

a basic value calculation section determining subunit, configured to select, from the multiple blocks, a number of blocks as a basic value calculation section based on the central block as a reference;

and the natural gamma base value calculating subunit is used for calculating the average value of the natural gamma measured values in the base value calculating interval as the natural gamma base value of the well point.

12. The apparatus of claim 9, wherein the abnormal interval marking module comprises:

the natural gamma comparison value determining subunit is used for selecting a natural gamma measurement value which is greater than or equal to a specified value from the natural gamma measurement values of the well point as an abnormal value; the specified value is a specified multiple of the natural gamma base value;

and the abnormal interval determining subunit is used for marking the distribution interval of the abnormal value in the well point as the abnormal interval.

13. The apparatus of claim 9, wherein the three-dimensional model building module comprises:

the natural gamma prediction value operator unit is used for calculating the natural gamma prediction value of each calculation point in the abnormal interval by utilizing an interpolation method according to the abnormal interval of different well points and a preset weight value;

and the three-dimensional model establishing subunit is used for establishing a three-dimensional model of the work area according to the natural gamma predicted value of the calculation point.

14. The apparatus of claim 13, wherein the calculating the natural gamma prediction value for each calculation point in the abnormal interval comprises:

according to the formulaCalculating the natural gamma predicted value of each calculation point in the abnormal layer section, wherein z is₀To calculate the natural gamma prediction value, gamma, for a point_jIs a preset weight value, z_jIs a natural gamma measurement in the abnormal interval.

15. The apparatus of claim 9, wherein the resource amount calculation module comprises:

a segment splitting subunit, configured to split the three-dimensional model into a plurality of segments;

the partition body resource amount calculation operator unit is used for calculating the monomer resource amount of each partition body;

and the sandstone-type uranium ore resource metering operator unit is used for accumulating the monomer resource quantities of the plurality of partition bodies to obtain the resource quantity of the sandstone-type uranium ore.

16. The apparatus of claim 15, wherein the separately calculating the amount of individual resources for each partition comprises:

according to formula P_jCalculating the monomer resource amount of each division body respectively; wherein, P_jThe uranium ore resource amount is the sandstone type uranium ore resource amount in a certain partition body, S is the area of the section of the partition body, M is the thickness of the partition body, D is the uranium ore resource density, and C is the uranium ore taste.

Technical Field

The embodiment of the specification relates to the technical field of exploration, in particular to a sandstone-type uranium ore resource amount calculation method and device.

Background

Uranium is an important natural radioactive element, and can be used for generating electricity, manufacturing nuclear weapons, providing nuclear power for nuclear submarines, aircraft carriers and the like, and being a scarce energy source and strategic resource. The chemical property of uranium is very active, and uranium exists in uranium-containing minerals in a combined state in nature. Sandstone-type uranium ores, one of the main targets of geological exploration, are exogenous uranium deposits produced in clastic rocks such as sandstone and conglomerate. In the uranium ore reserves already found in China, the sandstone form accounts for more than 40%, and the method has huge ore finding potential.

The estimation of the resource amount in the mineral products is necessarily involved in the exploration process of the sandstone-type uranium ores, but the current prior art only relates to the delineation of the ore forming area, and has no relevant method for calculating the potential resource amount of the sandstone-type uranium ores. In this case, the situation is not clear for the follow-up mining work, which is not beneficial to the follow-up operation. Therefore, a calculation method for the potential resource amount of the sandstone-type uranium ore is needed at present.

Disclosure of Invention

An object of an embodiment of the present specification is to provide a method and an apparatus for calculating an amount of sandstone-type uranium ore resources, so as to achieve accurate calculation of the amount of sandstone-type uranium ore resources.

In order to solve the technical problem, an embodiment of the present application provides a method and an apparatus for calculating an amount of sandstone-type uranium ore resources, which are implemented as follows:

a method for calculating the resource amount of sandstone-type uranium ores comprises the following steps:

calculating a natural gamma base value of a well point according to a natural gamma measured value acquired from the well point;

marking an abnormal interval in the well point by comparing the natural gamma measurements to the natural gamma base values;

constructing a three-dimensional model of the work area according to the abnormal intervals of different well points and preset weight values;

and calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore.

An apparatus for sandstone-type uranium deposit resource amount calculation, comprising:

the natural gamma base value calculating module is used for calculating the natural gamma base value of the well point according to the natural gamma measured value acquired from the well point;

an abnormal interval marking module for marking an abnormal interval in the well point by comparing the natural gamma measured value with the natural gamma base value;

the three-dimensional model building module is used for building a three-dimensional model of the work area according to the abnormal layer sections of different well points and preset weight values;

and the resource amount calculation module is used for calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore.

According to the technical scheme provided by the embodiment of the specification, the embodiment of the specification determines a natural gamma base value for comparison in the logging through calculation according to a natural gamma measured value acquired by logging, then judges an abnormal interval possibly containing uranium ore resources in the logging through comparison of the natural gamma measured value and the natural gamma base value, and establishes a three-dimensional model by using an interpolation method according to the abnormal intervals of different logs. And further calculating and integrating to obtain the sandstone-type uranium ore resource amount of the measured area according to the three-dimensional model and the information related to the sandstone-type uranium ore obtained by logging exploration. By the method, exploration and estimation of the uranium ore resource amount of the sandstone-type uranium ore in the measurement area can be realized.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

Fig. 1 is a flowchart illustrating an embodiment of a sandstone-type uranium ore resource amount calculation method according to the present disclosure;

fig. 2 is a block diagram of an embodiment of an apparatus for calculating an amount of uranium ore resources of sandstone type according to the present specification.

Detailed Description

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.

With the help of a server and a related database, a three-dimensional model is constructed by utilizing the abnormal region of the natural gamma measured value, so that the resource amount of the measured region can be estimated, and the defects in the prior art can be well solved. An embodiment of the method for calculating the sandstone-type uranium ore resource amount according to the present application is described below with reference to fig. 1, where an execution subject of the method is a server, and the method for calculating the sandstone-type uranium ore resource amount specifically includes the following steps:

s100: and calculating a natural gamma base value of the well point according to the natural gamma measured value acquired from the well point.

In the geological exploration process, in order to better acquire geological information, logging is often used for acquiring corresponding geological information, and for example, methods such as potential logging, natural gamma logging, density logging and the like can be respectively used for acquiring information such as potential, natural gamma, geological density and the like in a measurement work area. Since the uranium ore resource belongs to radioactive resources, and the distribution area of the uranium ore is different from a general geological interface, a judgment can be made on the approximate distribution area of the sandstone-type uranium ore by using natural gamma logging.

The natural gamma base value reflects the average level of natural gamma measured values in the logging well, and simultaneously reflects the natural gamma level of a general lithologic region. Because the natural gamma value of the sandstone-type uranium ore is higher than the general level due to the radioactivity of the sandstone-type uranium ore, in the subsequent measurement process, the natural gamma measured values of a plurality of well points arranged in a measurement work area are collected, the natural gamma base value of each well point is determined in sequence and is compared with all the measured values in the well point, and whether the sandstone-type uranium ore possibly exists in the area can be judged according to the natural gamma reference level of the detection area displayed by the comparison result.

In one embodiment, after acquiring natural gamma measurements in a well point, a data distribution region of the natural gamma measurements may be determined. And according to the distribution condition of the acquired natural gamma measured values in the well points, sequentially dividing the data distribution area into a plurality of sections according to the length value of a preset section. Since the natural gamma measurement values are discrete data, the section including the most natural gamma measurement values therein may be determined as the center section by counting how many natural gamma measurement values are included in each section. And selecting a plurality of sections from the plurality of sections by taking the central section as a reference standard to serve as a basic value calculation section. For example, 3 blocks may be taken from both sides with the center block as the center, and the center block and the two blocks may be used together as the base value calculation section.

By determining the region in which the natural gamma measurement values are most distributed, the region in which the natural gamma measurement values are concentrated can be substantially determined, and at the same time, the natural gamma base value determined according to the method can reflect the average level of the natural gamma measurement values of the current region since the natural gamma measurement values substantially conform to the characteristics of the concentrated distribution. In order to reduce measurement errors, the number of the selected sections is adjusted, and different numbers of sections are selected as base value calculation sections, so that errors caused by insufficient sample amount are reduced to the greatest extent. Meanwhile, the method only counts the natural gamma measured values in a limited area for calculating the natural gamma base value, so that the calculation amount can be greatly reduced, the utilization of system resources is reduced, and the implementation of the subsequent steps of the method is facilitated.

After the base value calculation interval is determined, counting all natural gamma measured values in the base value calculation interval, calculating an average value, and taking the average value as a natural gamma base value of the well point currently subjected to calculation. And repeating the calculation steps for all the well points in the work area to respectively calculate the natural gamma base values of all the well points. The natural gamma base value obtained by the calculation method basically reflects the average level of natural gamma measured values of all well points in the measuring area under the ordinary condition, and whether the measuring part has the characteristics of sandstone-type uranium ore or not can be determined according to the natural gamma base value.

S200: marking an abnormal interval in the well point by comparing the natural gamma measurements to the natural gamma base values.

The natural gamma base value identifies a normal level of natural gamma values within the well point for which it is intended. Because the sandstone-type uranium ore has radioactivity, the natural gamma measured value of the sandstone-type uranium ore is certainly larger than the natural gamma base value, the natural gamma measured value obtained by detection is sequentially compared with the natural gamma base value by determining a proper comparison ratio, and whether the region where the natural gamma measured value is located possibly contains the sandstone-type uranium ore can be analyzed, so that the region where the sandstone-type uranium ore exists is demarcated. According to the natural gamma base value calculated in step S100, a value of a designated multiple of the natural gamma base value is determined as a designated value. The specified multiple may be, for example, 3 times, 5 times, 8 times, or the like. And comparing the natural gamma measurement values with the specified values in sequence, and marking the natural gamma measurement values which are greater than or equal to the specified values as abnormal values. And determining the abnormal layer section according to the area in which the abnormal values are distributed. And establishing a subsequent three-dimensional model by using the abnormal layer section.

S300: and constructing a three-dimensional model of the work area according to the abnormal intervals of different well points and the preset weight values.

In the abnormal interval, a mudstone section may be included. The mudstone segment refers to the strong consolidation rock formed by the weakly consolidated clay through moderate after-growth (such as extrusion, dehydration, recrystallization and cementation). Since the natural gamma measurement value of the mudstone segment may also reflect characteristics similar to those of the sandstone-type uranium ore, when the resource distribution area is determined in step S200, there is a possibility that the mudstone segment is erroneously determined as the sandstone-type uranium ore, which may affect the determination of the resource distribution area to a certain extent, and ultimately affect the accuracy of the calculation result. Therefore, when the three-dimensional model is established for the abnormal layer section to realize the judgment in the subsequent steps, the mudstone section area needs to be removed from the abnormal layer section, and the error of the calculation result is reduced.

The lithological data can directly reflect the structural characteristics of rocks acquired in a certain area, and the mudstone section and the sandstone-type uranium deposit have completely different lithological data and can be directly distinguished by distinguishing the lithological data, so that the distribution area of the mudstone section can be determined by directly judging the lithological data measured by logging. Even in the case of lacking logging data, due to the fact that stratums formed in similar depositional environments of the same era have similar geological features and geophysical features, lithology data embodied in a certain section of area can be mapped to lithology data of unified stratums in other areas. Under the condition, the stratum with the mudstone section distribution can be determined by collecting lithology data reflected by existing logging data in the adjacent area and mapping the lithology data to the corresponding layer section on the same stratum of the surrounding area in combination with geological stratification data, so that the judgment of the mudstone section area is realized. And after the existence area of the mudstone section is determined, the distribution area of the mudstone section is removed from the abnormal layer section, so that the accurate calculation of the potential resource amount of the sandstone-type uranium deposit is realized.

And according to the demarcated abnormal layer section, establishing a three-dimensional model of the region by utilizing an interpolation method. The interpolation method may be a method of determining a function value for a specific area by determining an appropriate specific function using a known function point determined in a specific section, and determining an approximate value obtained by the function at another point in the space as a value generally represented at the point.

In the present application, according to the fact that the abnormal interval calculated in step S200 is a measurement region including a plurality of abnormal values, in the subsequent process of calculating the sandstone-type uranium ore resource amount, since it is necessary to use tangent plane data information, calculation by simply relying on abnormal value data in a single well point may cause a large error, it is necessary to construct a three-dimensional model by using the abnormal interval composed of the abnormal value data information. In one embodiment, the general kriging algorithm may be used to implement the building of the three-dimensional model of the region.

According to the thought of the common Kriging algorithm, the parameters of the known points are combined with the weight coefficients of the points, and the estimation value of the unknown point is obtained through calculation and solving according to a set function. Using formulasEstimating data of all calculation points in each resource distribution area, wherein z₀To calculate the natural gamma prediction value, gamma, for a point_jIs a preset weight value, z_jThe natural gamma measurement for each anomalous node is known. The calculation points are minimum division units used for building the three-dimensional model, and the accuracy of calculation can be further improved by determining the natural gamma predicted values of the calculation points and comparing the natural gamma predicted values according to the sizes of the calculation points to determine the three-dimensional model.

S400: and calculating the resource amount of the sandstone-type uranium ore by using the three-dimensional model according to the uranium ore parameters of the sandstone-type uranium ore.

The three-dimensional model basically determines the distribution area of the sandstone-type uranium ore, and the size of the space occupied by the sandstone-type uranium ore distribution area can be obtained based on the three-dimensional model. Therefore, the volume method is adopted, the size of the space where the sandstone-type uranium ore is distributed and the acquired parameter information of the uranium ore are utilized, and the resource amount of the sandstone-type uranium ore can be calculated conveniently and quickly. However, since the spatial distribution of the three-dimensional model is often irregular, the three-dimensional model is divided into a plurality of divided bodies in order to improve the accuracy of calculation. For convenience of calculation, the three-dimensional model may be segmented into a plurality of segments with the same thickness according to a preset thickness, or the three-dimensional model may be segmented into a plurality of segments with different thicknesses according to an actual stratum condition. Calculating the product of the four parameters according to the sectional areas and the thicknesses of different partition bodies and the information such as the uranium ore resource density and the ore containing ratio, wherein the product is used as the uranium ore resource amount contained in the partition body, and specifically, the product can be calculated according to a formula P_jCalculating the monomer resource amount of each division body respectively; wherein, P_jThe method includes the steps of calculating resource quantities of all split bodies divided in a three-dimensional model sequentially according to the calculation method, accumulating the resource quantities of all split bodies to obtain sandstone-type uranium ore resource quantities of a measurement work area according to a formula T ∑ T, wherein S is the sectional area of each split body, M is the thickness of each split body, D is the density of the uranium ore resource, C is the taste of the uranium ore, the density of the uranium ore resource is a preset value set according to experience and existing data, and the taste of the uranium ore is a parameter set according to a measured natural gamma value and used for reflecting the content of uranium in uranium ore in the area_jCalculating, wherein T is the sandstone type uranium ore resource amount of the measured area, and T_jThe resource amount of a certain segmentation body obtained by segmentation according to the three-dimensional model.

According to the method, when the sandstone-type uranium ore resource amount is calculated, the distribution positions of the sandstone-type uranium ores are roughly determined according to the characteristics of the sandstone-type uranium ores by analyzing the base values of natural gamma measured values and comparing the natural gamma measured values, and meanwhile, mudstone sections possibly contained in the sandstone-type uranium ores are removed according to lithological data, so that errors are further reduced, and the measurement accuracy is improved. And then establishing a three-dimensional model according to the determined uranium ore distribution layer section by using an interpolation method, and calculating the resource content of the sandstone-type uranium ore in the region by using a volume method and combining the uranium ore parameters obtained by measurement based on the established three-dimensional model.

An embodiment of an apparatus for calculating an amount of a sandstone-type uranium ore resource is described below, and as shown in fig. 2, the apparatus includes:

the natural gamma base value calculating module 210 is configured to calculate a natural gamma base value of a well point according to a natural gamma measurement value acquired from the well point;

an abnormal interval marking module 220 for marking an abnormal interval in the well point by comparing the natural gamma measurement value with the natural gamma base value;

the three-dimensional model building module 230 is used for building a three-dimensional model of the work area according to the abnormal interval of different well points and preset weight values;

and the resource amount calculation module 240 is configured to calculate, according to the uranium ore parameters of the sandstone-type uranium ore, the resource amount of the sandstone-type uranium ore by using the three-dimensional model.

In one embodiment, the apparatus further comprises:

and the mudstone segment removing module 250 is used for determining the position of the mudstone segment and removing the mudstone segment from the resource distribution area.

The mudstone segment rejection module 250 includes:

a mudstone segment marking subunit 251, configured to mark a mudstone segment area in the well point according to lithology data of different well points;

a mudstone segment removing subunit 252, configured to remove the mudstone segment regions from the abnormal interval of different well points, respectively;

accordingly, the three-dimensional model building module 230 includes:

and the model construction subunit 239 is configured to construct a three-dimensional model of the work area according to the abnormal interval after the mudstone segment area is removed at the different well points and the preset weight value.

The natural gamma base value calculating module 210 includes:

the interval segment dividing unit 211 is configured to divide the well point into a plurality of interval segments according to a distribution condition of the acquired natural gamma measurement values in the well point;

a central interval determination subunit 212 for selecting the interval containing the most natural gamma measurement values as a central interval;

a base value calculation section determination subunit 213, configured to select, from the plurality of block sections, a plurality of block sections as a base value calculation section based on the central section as a reference;

and the natural gamma base value operator unit 214 is used for calculating an average value of the natural gamma measured values in the base value calculation interval as the natural gamma base value of the well point.

The abnormal interval marking module 220 includes:

a natural gamma comparison value determining subunit 221, configured to select, as an abnormal value, a natural gamma measurement value greater than or equal to a specified value from the natural gamma measurement values at the well point; the specified value is a specified multiple of the natural gamma base value;

an abnormal interval determination subunit 222, configured to mark the distribution interval of the abnormal value in the well point as an abnormal interval.

The three-dimensional model building module 230 includes:

a calculation point prediction value operator unit 231, configured to calculate, according to the abnormal interval of different well points and a preset weight value, a natural gamma prediction value of each calculation point in the abnormal interval by using an interpolation method;

and the three-dimensional model establishing subunit 232 is configured to establish a three-dimensional model of the work area according to the natural gamma prediction value of the calculation point.

The calculating the natural gamma prediction value of each calculation point in the abnormal interval comprises the following steps:

combining a preset weight value according to abnormal nodes in the resource distribution area and according to a formulaComputing natural gamma predictors for all computation points covered in the resource distribution region, where z₀To calculate the natural gamma prediction value, gamma, for a point_jIs a preset weight value, z_jThe natural gamma measurement for each anomalous node is known.

The resource amount calculation module 240 includes:

a segment splitting subunit 241 configured to split the three-dimensional model into a plurality of segments;

a partition body resource amount calculation operator unit 242 for calculating the individual resource amount of each partition body;

and the sandstone-type uranium ore resource amount calculation operator unit 243 is configured to accumulate the monomer resource amounts of the plurality of partition bodies to obtain the resource amount of the sandstone-type uranium ore.

The calculating the monomer resource amount of each division body respectively comprises the following steps:

according to formula P_jCalculating the monomer resource amount of each division body respectively; wherein, P_jThe uranium ore resource amount is the sandstone type uranium ore resource amount of a certain partition body, S is the section area of the partition body, M is the thickness of the partition body, D is the uranium ore resource density, and C is the uranium ore taste.

In the 90 th generation of 20 th century, it is obvious that improvements in Hardware (for example, improvements in Circuit structures such as diodes, transistors and switches) or software (for improvement in method flow) can be distinguished for a technical improvement, however, as technology develops, many of the improvements in method flow today can be regarded as direct improvements in Hardware Circuit structures, designers almost all obtain corresponding Hardware Circuit structures by Programming the improved method flow into Hardware circuits, and therefore, it cannot be said that an improvement in method flow cannot be realized by Hardware entity modules, for example, Programmable logic devices (Programmable logic devices L organic devices, P L D) (for example, Field Programmable Gate Arrays (FPGAs) are integrated circuits whose logic functions are determined by user Programming of devices), and a digital system is "integrated" on a P L D "by self Programming of designers without requiring many kinds of integrated circuits manufactured and manufactured by dedicated chips, and integrated circuits 2 are written by Hardware programs such as software programs, such as Hardware programs, software programs, Hardware programs, software programs, Hardware programs, software, Hardware programs, software programs, Hardware programs, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software, Hardware, software.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.