Gold mine modeling and reserve estimation method under multi-source information constraint

Abstract

The invention relates to the technical field of gold mine geological modeling exploration, in particular to a gold mine modeling and reserve estimation method under multi-source information constraint. Geological images and exploration data of the target mining area are collected; performing interpolation operation according to the geological image in combination with the elevation data and the drilling data to establish a geological model; establishing a fracture model by adopting a deterministic modeling method according to the geological image; constructing a lithologic model by adopting an envelope surface modeling method according to the drilling data and the geophysical exploration data; constructing a gold ore body model by adopting an envelope surface modeling method according to the elevation data and the geophysical exploration data; obtaining mineralization information to construct a variation function model, and establishing a grade model by adopting a Kriging difference method according to the variation function parameter value of each fault; and estimating the gold ore reserves of the target mining area based on the established model. According to the method, the model can be established in combination with multi-source information, and the ore body structure can be accurately represented, so that the estimation precision of the gold ore is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of gold mine geological modeling exploration, and particularly relates to a gold mine modeling and reserve estimation method under the constraint of multi-source information. Background Art

[0002] Three-dimensional geological modeling is to express and reproduce the three-dimensional spatial form, structure, mutual relationship and attribute information of geological bodies, geological interfaces, geological phenomena and geological processes by combining existing geological data (geology, geophysics, geochemistry, remote sensing, etc.) with multi-field knowledge and methods such as geological research, statistical principles, spatial analysis techniques and computer mapping techniques, and by means of a computer platform and an effective three-dimensional geological modeling process, so as to reveal the actual form and geological structure information of the underground space. Constructing a geological database of the study area is the basis for establishing a three-dimensional geological model. Comprehensively and accurately sorting out exploration borehole data, geophysical data and geochemical geological data will effectively improve the accuracy of the three-dimensional geological model and have a direct impact on subsequent model analyses such as reserve estimation and mining engineering setting.

[0003] In the prior art, when performing three-dimensional geological modeling of ore deposits, due to the large number of data types, there are inconsistencies between various types of data, and the geological understandings and lithology classification standards of different personnel in different periods are not unified, resulting in problems of poor information fusion ability and insufficient accuracy of ore body structure characterization. Summary of the Invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a gold mine modeling and reserve estimation method under the constraint of multi-source information. The method includes collecting geological images and exploration data of the target mining area; performing interpolation operations according to the geological images combined with elevation data and borehole data to establish a geological model; establishing a fracture model according to the geological images by using a deterministic modeling method; constructing a lithology model according to the borehole data and geophysical exploration data by using an envelope surface modeling method; constructing a gold ore body model according to the elevation data and geophysical exploration data by using an envelope surface modeling method; obtaining ore-forming information to construct a variogram model, and establishing a grade model by using the Kriging interpolation method according to the variogram parameter values of each fault; estimating the gold reserves of the target mining area based on the models established above. The present invention can establish models by combining multi-source information, can accurately characterize the ore body structure, and thus effectively improve the estimation accuracy of gold mines.

[0005] The present invention adopts the following technical solutions. A gold mine modeling and reserve estimation method under the constraint of multi-source information includes:

[0006] Collecting geological images and exploration data of the target mining area;

[0007] The geological images include: geological plan, geological profile and plane projection map of resource quantity; the exploration data include: elevation data, borehole data and geophysical exploration data;

[0008] Interpolate according to the geological images of the target mining area, combined with the elevation data and borehole data, to establish a geological model of the target mining area;

[0009] Establish a fault model of the target mining area by using a deterministic modeling method according to the geological images of the target mining area;

[0010] Construct a lithology model of the target mining area by using an envelope surface modeling method on the basis of the fault model according to the borehole data and geophysical exploration data of the target mining area;

[0011] Construct a gold ore body model of the target mining area by using an envelope surface modeling method according to the geological model and lithology model of the target mining area;

[0012] Obtain the metallogenic information of the target mining area, construct a variogram model, and establish a grade model of the target mining area by using the Kriging interpolation method according to the variogram parameter values of each fault in the target mining area;

[0013] Estimate the gold reserves of the target mining area according to the gold ore body model and grade model.

[0014] Furthermore, the geophysical exploration data include: core logging data, well location information, geological stratification data, lithofacies data, comparison results of monzonitic porphyry stages, isopach map of monzonitic porphyry, gold grade data of ore bodies, geological profile of exploration line, CSAMT inversion resistivity section map and OCTEM inversion resistivity section map.

[0015] Furthermore, to establish a geological model of the target mining area, specifically: import the geological images of the target mining area into the modeling software, and perform interpolation operation with the set elevation data to obtain the geological model of the target mining area.

[0016] Furthermore, to establish a fault model of the target mining area by using a deterministic modeling method, specifically:

[0017] Based on the geological images of the target ore, obtain the fault information in the target mining area;

[0018] Use a deterministic modeling method to process the intersection relationship of the fault information in the target mining area and establish a fault model.

[0019] Furthermore, to construct a lithology model of the target mining area by using an envelope surface modeling method, specifically:

[0020] Obtain the lithology information in the target mining area according to the borehole data and geophysical exploration data of the target mining area;

[0021] Merge the lithologic information in the target mining area, and on the basis of the fracture model, use the envelope surface modeling method to model the merged lithology to obtain a lithofacies model.

[0022] Furthermore, use the envelope surface modeling method to construct a gold ore body model for the target mining area, specifically:

[0023] Establish virtual isohypse surfaces at a set spacing based on the elevation data of the target mining area, and longitudinally divide the target mining area into a set number of segments;

[0024] Obtain the cumulative thickness of the gold ore body in different layers according to the geophysical exploration data of each segment in the set number of segments of the target mining area, and make a thickness isoline map;

[0025] Use the virtual elevation surface and the thickness isoline map to establish a gold ore body model for the target mining area by using the envelope surface modeling method.

[0026] Furthermore, use the Kriging interpolation method to establish a grade model for the target mining area, specifically:

[0027] Establish a block model for each fault in the target mining area;

[0028] Establish a corresponding variogram model according to the three-dimensional enrichment law of metal elements in each block model, and obtain the range parameter value of the variogram corresponding to each block model;

[0029] Establish a grade model for the target mining area by using the Kriging interpolation method according to the range parameter value corresponding to each block model.

[0030] Furthermore, estimate the gold ore reserves in the target mining area, and the expression is:

[0031]

[0032] Where: R represents the gold ore reserves, V i represents the volume of the gold ore body, W(Au) i is the gold grade, ρ i is the rock density.

[0033] The beneficial effects of the present invention are: On the basis of sorting out the preliminary data in the area, by establishing a geological database, a surface model, a fault model, a lithofacies model, an ore body model and a gold grade model, the present invention can clarify the relationship between the gold deposit and the fracture and lithofacies, and further visually display the distribution law of gold metal in the study area, as well as the continuity and variability of the gold deposit. Through the visualization and spatial calculation and simulation means of the three-dimensional model, it provides technical and method support for the prediction of deep-edge target areas and the quantitative evaluation of resources in the ore concentration area. Description of the Drawings

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0035] Figure 1 Schematic flow chart of a gold mine modeling and reserve estimation method under multi-source information constraint according to an embodiment of the present invention;

[0036] Figure 2 Schematic diagram of the structure of a geological model according to an embodiment of the present invention;

[0037] Figure 3 Schematic diagram of the structure of a fracture model according to an embodiment of the present invention;

[0038] Figure 4 Schematic diagram of the structure of a lithology model according to an embodiment of the present invention;

[0039] Figure 5 Schematic diagram of the structure of a gold ore body model according to an embodiment of the present invention;

[0040] Figure 6 Schematic diagram of a gold ore body model according to an embodiment of the present invention;

[0041] Figure 7 Schematic diagram of a variogram fitting curve according to an embodiment of the present invention;

[0042] Figure 8 Schematic diagram of the structure of a grade model according to an embodiment of the present invention. Detailed implementation manners

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0044] A schematic flow chart of a gold mine modeling and reserve estimation method under multi-source information constraint according to an embodiment of the present invention is as Figure 1 shown and includes:

[0045] Collect geological images and exploration data of the target mining area;

[0046] In the embodiments of the present invention, the geological images include geological plan views, geological cross-section views, and plane projection maps of resource reserves; the exploration data includes elevation data, borehole data, and geophysical exploration data. In the embodiments of the present invention, 5 topographic geological plan views, 16 geological cross-section views, 4 plane projection maps of resource reserves, 4,992 elevation data points, 89 borehole data, and relevant geophysical exploration data in the target mining area are collected. The relevant physical exploration data is obtained through the observation and recording of the core samples in the target mining area, and the core logging data, well location information, geological stratification data, lithofacies data, comparison results of monzonitic porphyry periods, isopach maps of monzonitic porphyry, gold grade data of ore bodies, geological cross-section views of exploration lines, CSAMT inversion resistivity cross-section maps, OCTEM inversion resistivity cross-section maps, etc. of 89 wells are sorted out, so as to establish a geological database, an exploration database, and a geophysical database for visualization in modeling software.

[0047] According to the geological images of the target mining area, interpolation operations are carried out in combination with the elevation data and borehole data to establish a geological model of the target mining area.

[0048] In the embodiments of the present invention, as Figure 2 shown, for the establishment of the geological model of the target mining area, the 1:5000 topographic geological map of the mining area is used. After importing the topographic data, interpolation operations are carried out under the constraints of the elevation of the borehole well positions and the elevation measurement points of the geological map to obtain the surface model of the mining area.

[0049] According to the geological images of the target mining area, a fracture model of the target mining area is established by using a deterministic modeling method.

[0050] In the embodiments of the present invention, as Figure 3 shown, based on the geological plan view and cross-section view of the mining area in the geological image, 31 fault information in the mining area is statistically processed. Among them, 14 faults have dip angle and dip direction information, 3 faults have dip angle but no dip direction information, 12 faults have no dip angle information, and 2 faults are faults outside the mining area. The strike of the faults in the mining area is mainly east-west, the dip angle is mainly distributed between 60° and 80°, and the extension distance is generally between 300 - 400m. A deterministic modeling method is used to complete the processing of the intersection relationship of the faults in the work area, thereby establishing a fracture model.

[0051] According to the borehole data and geophysical exploration data of the target mining area, a lithology model of the target mining area is constructed by using an envelope surface modeling method on the basis of the fracture model.

[0052] As Figure 4As shown in the figure, according to the description of borehole lithology using borehole data and geophysical exploration data in the embodiments of the present invention, a total of 15 lithologies are developed in the target mining area. To simplify the modeling work, the 15 lithologies are merged into 8 lithologies, namely Quaternary loose materials, monzonite porphyry, limestone, monzonitic granite, breccia, plagioclase amphibolite, mudstone, and biotite granulite. Further, 90 virtual interfaces and 90 lithology distribution boundaries are constructed to accurately depict the vertical development thickness and planar distribution range of different lithologies. Finally, an envelope surface modeling method is used to construct the lithology model.

[0053] According to the elevation data and geophysical exploration data of the target mining area, under the constraints of the geological model elevation and borehole data, and combined with the limitations of the distribution ranges of different lithofacies in the lithology model, an envelope surface modeling method is used to construct the gold ore body model of the target mining area;

[0054] The construction of the ore body model is the core of the entire 3D modeling work and the quantitative prediction of deep mineral resources. The accuracy of the ore body model will directly affect the accuracy of the final result. As Figure 5 shown, to finely depict the boundary of the ore body model, in the embodiments of the present invention, 230 equal-elevation surfaces with a spacing of 1 m are established based on the elevation data and geophysical exploration data of the target mining area. The target mining area is longitudinally divided into 229 segments. Combining the fault distribution characteristics and the ore body thickness data identified by single wells, the planar distribution range of the gold ore is segmented and depicted. When delineating the ore body, a single gold index is used to delineate the ore. When extrapolating, for limited extrapolation, it is tapered at half of the engineering spacing, and for infinite extrapolation, it is pushed flat at one-fourth of the engineering spacing. Finally, an envelope surface modeling method is used to establish the gold ore body model of the target mining area as Figure 7 shown.

[0055] Obtain the metallogenic information of the target mining area, construct a variogram model, and use the Kriging interpolation method to establish the grade model of the target mining area according to the variogram parameter values of each fault in the target mining area;

[0056] In the embodiments of the present invention, in order to study the three-dimensional enrichment law of gold ore, it is necessary to create a block model analysis based on the established fault and formation entity models. The size of a single block (X, Y, Z) can be set to 20 m, 20 m, and 0.25 m respectively. On this basis, a variogram model is constructed to fit each block model. As Figure 7 shown, so as to determine the theoretical variogram parameter values in each area. Finally, according to the determined variogram parameter values, the Kriging interpolation method is used to establish the gold grade model as Figure 8 shown.

[0057] Estimate the gold ore reserves of the target mining area according to the gold ore body model and grade model.

[0058] In the embodiment of the present invention, the volume of the gold ore body is calculated through the gold ore body model, the gold grade is obtained through the gold grade model, and the rock density is obtained through borehole sampling tests. Finally, the gold metal reserves can be estimated. The expression for estimating the gold reserves in the target mining area is as follows:

[0059]

[0060] Where: R represents the gold reserves, V i represents the volume of the gold ore body, and this parameter can be obtained by calculating the volume of the major grid in the three-dimensional gold ore body model; W(Au) i is the gold grade, and this parameter is obtained through the grade parameter in the three-dimensional gold grade model, ρ i is the rock density, and this parameter is obtained by measuring the rock density of the gold-bearing section of the borehole.

[0061] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A gold mine modeling and reserve estimation method under multi-source information constraints, characterized in that, Including: Collecting geological images and exploration data of the target mining area; The geological images include: geological plan, geological profile and plane projection map of resource quantity; the exploration data includes: elevation data, borehole data and geophysical exploration data; Interpolating according to the geological images of the target mining area, combining with the elevation data and borehole data, to establish a geological model of the target mining area; Using a deterministic modeling method to establish a fracture model of the target mining area according to the geological images of the target mining area; Based on the borehole data and geophysical exploration data of the target mining area, using an envelope surface modeling method to construct a lithology model of the target mining area on the basis of the fracture model; Using an envelope surface modeling method to construct a gold ore body model of the target mining area according to the geological model and lithology model of the target mining area; Obtaining the metallogenic information of the target mining area, constructing a variogram model, and using the Kriging interpolation method to establish a grade model of the target mining area according to the variogram parameter values of each fault in the target mining area; Estimating the gold reserves of the target mining area according to the gold ore body model and grade model.

2. The gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, wherein: The geophysical exploration data includes: core logging data, well location information, geological stratification data, lithofacies data, monzonitic porphyry stage comparison results, monzonitic porphyry isopach map, ore body gold grade data, geological profile of exploration line, CSAMT inversion resistivity section map and OCTEM inversion resistivity section map.

3. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Establishing a geological model of the target mining area, specifically: importing the geological images of the target mining area into modeling software, and performing interpolation operation with the set elevation data to obtain the geological model of the target mining area.

4. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Using a deterministic modeling method to establish a fracture model of the target mining area, specifically: Based on the geological images of the target ore, obtaining the fault information in the target mining area; Using a deterministic modeling method to process the intersection relationship of the fault information in the target mining area to establish a fracture model.

5. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Using an envelope surface modeling method to construct a lithology model of the target mining area, specifically: According to the borehole data and geophysical exploration data of the target mining area, obtaining the lithology information in the target mining area; Merging the lithology information in the target mining area, and using an envelope surface modeling method to model the merged lithology on the basis of the fracture model to obtain a lithology model.

6. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Using an envelope surface modeling method to construct a gold ore body model of the target mining area, specifically: Establishing virtual isohypse surfaces at set intervals according to the elevation data of the target mining area, and longitudinally dividing the target mining area into set segments; Obtaining the cumulative thickness of the gold ore body in different layers according to the geophysical exploration data of each segment in the set segments of the target mining area, and making a thickness isoline map; Using the virtual elevation surface and the thickness isoline map to establish a gold ore body model of the target mining area by using an envelope surface modeling method.

7. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Using the Kriging interpolation method to establish a grade model of the target mining area, specifically: Establishing a block model for each fault in the target mining area; Establishing a corresponding variogram model according to the three-dimensional enrichment law of metal elements in each block model, and obtaining the range parameter values of the corresponding variogram of each block model; Using the Kriging interpolation method to establish a grade model of the target mining area according to the range parameter values corresponding to each block model.

8. A gold mine modeling and reserve estimation method under multi-source information constraints according to claim 1, characterized in that: Estimate the gold reserves in the target mining area, and the expression is: Where: R represents the gold ore reserve, V i represents the volume of the gold ore body, W(Au) i is the gold grade, ρ i is the rock density.

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