Geological parameter modeling evaluation method for mineralization probability of residual slope product type scandium ore

Abstract

The invention relates to the technical field of mineral exploration, and discloses a residual slope product type scandium ore mineralization probability geological parameter modeling evaluation method, which comprises the following steps: determining multiple indexes related to scandium ore mineralization, and constructing an estimation model comprising an index standard determination sub-model, an index association sub-model and a mineralization stage judgment sub-model; dividing the mineralization process into three stages of material supply, element release and element enrichment, defining a standard reaching rule, a basic coefficient and a strong correlation coefficient of each index through a sub-model, and determining a contribution degree reference value of each stage; the mineralization probability of each stage is calculated, the comprehensive mineralization probability P = P order 1 * P order 2 * P order 3, and P order 1, P order 2 and P order 3 are the mineralization probabilities of the three stages respectively; and performing potential grading according to the comprehensive mineralization probability, and judging the mineralization probability of the specified target region. According to the technical scheme, the basic restriction effect of the previous stage on the next stage can be embodied in scandium ore mineralization probability estimation, and the collaborative value among the associated multiple indexes is highlighted.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mineral exploration, in particular to a residual-accumulation type scandium ore metallogenic probability geological parameter modeling evaluation method. BACKGROUND

[0002] Scandium is a strategic mineral in China. With the rapid increase in domestic scandium resource demand, residual-accumulation type scandium ore has gradually become the focus of exploration and development. However, the metallogenic process of residual-accumulation type scandium ore is controlled by the coupling of geological structure, parent rock properties, weathering intensity, geochemistry and geophysics in multiple dimensions, and has the characteristics of "superficial weathering enrichment, strong carrier dependence, and complex index correlation". Specifically, the metallogenic period of residual-accumulation type scandium ore needs to go through the progressive process of "material supply (exposure of scandium-rich parent rock) → element release (weathering and decomposition of scandium-containing minerals) → element enrichment (Sc 3+ carrier adsorption and fixation)", and the previous stage is the basis for the next stage, and the constraint relationship between stages directly affects the metallogenic probability.

[0003] Early exploration of residual-accumulation type scandium ore often relies on a single index for judgment, such as using only the TiO2 content of parent rock or the Sc grade of whole rock to delineate target areas, ignoring the synergistic effect between indexes at each stage of the metallogenic period. For example, in some areas, although the initial scandium abundance of parent rock meets the standard, the parent rock is deeply buried due to the compressional tectonic environment, or the Sc 3+ cannot be effectively released due to insufficient weathering intensity, making it difficult to form an industrial deposit. In recent years, with the upgrading of exploration technology, techniques such as geological radar, high-precision magnetic measurement, and geochemical profile analysis have been able to accurately measure indicators such as fault zone density, magnetic susceptibility, and the correlation between Sc and Al2O3, providing data support for the quantitative integration of multiple-dimensional indicators. Multi-index comprehensive analysis methods have been gradually applied to scandium ore exploration, but they often use a simple "index superposition" logic without considering the stage-by-stage metallogenic process, which does not match the "material supply → element release → element enrichment" metallogenic period of residual-accumulation type scandium ore. At the same time, existing technologies lack quantitative analysis of index correlation, such as distinguishing the synergistic contribution of strongly correlated indicators such as "tectonic environment and parent rock exposure" and "magnetic susceptibility and limonite scandium loading". They give the same weight to the whole rock Sc grade representing "element enrichment" and the parent rock type representing "material supply", ignoring the objective logic that "without material supply, subsequent enrichment is impossible", resulting in a significant deviation between the estimated results and the actual metallogenic situation. For example, some target areas are determined to have "high potential" due to the failure of the previous stage indicators, causing waste of exploration resources. At the same time, existing technologies often do not clearly define the core constraints of the metallogenic probability, such as not setting the "industrial cutoff grade (whole rock Sc ≥ 50 × 10 -6The key threshold is that some methods still use other indicators to make the mineralization probability high when the whole rock Sc does not meet the standard, which is out of touch with the actual requirement that "there is no development value without industrial grade". At the same time, the transmission relationship between mineralization stages is ignored. For example, if the probability of the material supply stage is too low, even if the element release stage is optimal, it will not be able to form an effective deposit. This leads to fuzzy calculation boundary conditions and the estimation results lack practical guiding significance.

[0004] Therefore, a quantitative integration technology for multi-dimensional indicators is needed to achieve effective estimation of the mineralization probability of residual slope scandium deposits based on indicator combinations and stage division. Summary of the Invention

[0005] To achieve the above objectives, this application provides a geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits, comprising the following steps: To determine the indices related to the mineralization conditions of residual-colluvial scandium deposits, a probability estimation model for residual-colluvial scandium deposits was constructed. These indices include: fault zone density, tectonic setting, parent rock type + TiO2, weathering intensity index, whole-rock Sc, correlation between Sc and Al2O3, magnetic susceptibility, and polarizability. The input parameters of the probability estimation model are these indices. The output of the model is the comprehensive mineralization probability P, which is determined based on the mineralization probability P0 of each mineralization stage. 阶 Calculations show that the mineralization period can be divided into three stages: material supply, element release, and element enrichment; the mineralization probability P of each stage is calculated. 阶 The determination is made based on indicators related to the mineralization conditions of residual slope-type scandium deposits; Obtain mineralization characteristic indicators of residual slope-type scandium deposits in a specified target area; Load the residual slope scandium mineralization probability estimation model, input the mineralization characteristic index of the residual slope scandium, and calculate the comprehensive mineralization probability; Obtain comprehensive mineralization probability and potential classification to determine the mineralization probability of residual slope-type scandium deposits in a specified target area.

[0006] The mineralization probability estimation model includes a sub-model for determining index standards, a sub-model for index correlation, and a sub-model for judging mineralization stages. The indicator standard determination sub-model is used to define the compliance rules for each indicator and calculate the compliance value S for each indicator; The indicator correlation sub-model is used to define indicator combinations to reflect the synergistic relationship between indicators, classify the importance of each indicator, and define the basic coefficient L for each indicator. b And strong correlation coefficient L rThe synergistic relationship refers to the mutually supportive effect that occurs during the mineralization process when two or more indicators within a combination of indicators meet the target; this mutually supportive effect is quantified by the strong correlation coefficient L between the indicators. r This is reflected in the strong correlation coefficient L of the indicators. r The value is greater than the basic coefficient L b The value; The mineralization stage determination sub-model is used to determine the stage contribution benchmark value V for different mineralization stages. s The method for calculating the total contribution V of the definition stage; the mineralization stage corresponds to different indicative indicators.

[0007] The methods for calculating the overall mineralization probability P include: Calculate the mineralization probability P for each mineralization stage. 阶 The calculation method is as follows: P 阶 =V / V s Where V is the sum of the stage contributions of each mineralization stage, and Vs is the baseline value of the stage contribution; if P 阶 If P ≥ 1.0, then P 阶 =1.0; The overall mineralization probability P is calculated as follows: P=P 阶1 ×P 阶2 ×P 阶3 , where P 阶1 For the mineralization probability during the material supply stage, P 阶2 For the mineralization probability during the element release phase, P 阶3 This represents the mineralization probability during the element enrichment stage.

[0008] The method for calculating the sum of stage contributions V for each mineralization stage is as follows: V= , Where V represents the total contribution of each stage, i is the indicator number, and n is the number of indicative indicators. This represents the target value for indicator number i. Let be the coefficient of this indicator, and ,in, Based on the coefficient, This is a strong correlation coefficient.

[0009] Among them, the basic coefficient L b It is a parameter that measures the contribution of a single indicator to mineralization when it acts independently, and is used to calculate the stage contribution when the combination of indicators does not meet all the standards. Strong correlation coefficient L r Used to reflect the contribution of multiple related indicators to mineralization when they work synergistically, and used to calculate the stage contribution when all indicators meet the standards.

[0010] Further, the classification of the importance of each index includes core indicators, important indicators and auxiliary indicators; The core indicators include parent rock type + TiO2 and whole rock Sc, the important indicators include tectonic environment, weathering intensity index, Sc and Al2O3 correlation and magnetic susceptibility, and the auxiliary indicators include fracture zone density and polarizability.

[0011] The different indication indexes corresponding to the ore-forming period stage are as follows: The indication indexes of the material supply stage include tectonic environment and parent rock type + TiO2. The indication indexes of the element release stage include fracture zone density and weathering intensity index. The indication indexes of the element enrichment stage include whole rock Sc, Sc and Al2O3 correlation, magnetic susceptibility and polarizability.

[0012] Further, the residual accumulation type scandium ore metallogenic probability estimation model also supports potential classification according to the comprehensive metallogenic probability, and the potential classification includes high potential, medium potential and low potential.

[0013] Further, the residual accumulation type scandium ore metallogenic probability estimation model adopts a dimension abbreviation serial number to code the indexes related to the metallogenic conditions of the residual accumulation type scandium ore, including: GZ-01: fracture zone density, GZ-02: tectonic environment, FY-01: parent rock type + TiO2, FY-02: weathering intensity index, DH-01: whole rock Sc, DH-02: Sc and Al2O3 correlation, WL-01: magnetic susceptibility, and WL-02: polarizability.

[0014] According to the present application, the eight core indexes can be classified according to stages following the stage-by-stage metallogenic logic of the residual accumulation type scandium ore, i.e. “material supply -> element release -> element enrichment”, and the calculation mode of the comprehensive metallogenic probability reflects the basic restrictive effect of the previous stage on the next stage. At the same time, the total structure of the domestic typical deposit data is associated with a strong index combination (tectonic cooperative combination, parent rock-weathering linkage combination, etc.), and the coefficient standards of all standards and single standards are set to highlight the value of 1+1 greater than 2 generated by the cooperation between multiple indexes. Through the verification of typical deposits in Guizhou, Yunnan and Guangxi, etc., the design can improve the estimation accuracy of the metallogenic probability of the residual accumulation type scandium ore. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is a residual accumulation type scandium ore metallogenic probability geological parameter modeling evaluation method step schematic diagram provided by the embodiment of the present application. DETAILED DESCRIPTION

[0016] Residual deposit type scandium ore is a weathering crust type scandium ore formed by enrichment of scandium elements in residual deposit layer, relying on ion exchange adsorption of clay minerals and colloidal coprecipitation of limonite, after release of scandium elements from primary mineral lattice destruction by supergene weathering of scandium-rich basalt. The present application is directed to the characteristics of typical residual deposit type scandium ore deposits in China, and classifies multiple core indicators in stages to realize the basic restriction of the previous stage on the next stage. The concept of strong correlation index combination is proposed, and a double-parameter system of “basic coefficient + strong correlation coefficient” is designed: when the indicators in the combination meet the standard at the same time, a higher strong correlation coefficient is used to calculate the contribution degree, and the synergistic effect is accurately quantified.

[0017] The specific implementation of the present application will be described in detail below in combination with the drawings of the specification.

[0018] Figure 1 The present application provides a residual deposit type scandium ore mineralization probability estimation method, which comprises the following steps: Step S100: determining the indicators related to the mineralization conditions of residual deposit type scandium ore, and constructing a residual deposit type scandium ore mineralization probability estimation model; The residual deposit type scandium ore is controlled by coupling of four types of geological conditions in the mineralization process, which are geological structure characteristics, parent rock and weathering characteristics, geochemical characteristics and geophysical characteristics. Different parameters are included in the four types of geological conditions, as follows: 1) Geological structure characteristics include parameters: fault zone density and tectonic environment; Fault zone density: Fault zone produces fissures through tectonic stress, increases the specific surface area of parent rock, improves the penetration efficiency of weathering fluid (precipitation, CO2, groundwater, etc.), and accelerates the hydrolysis of scandium-containing minerals; when the density is insufficient, the parent rock is in block structure, and weathering is limited to the surface shallow part, making it difficult for scandium to be released; therefore, the fault zone density greater than or equal to a specified threshold (such as 1.0 strip per square kilometer) is one of the mineralization probability judgment conditions. Tectonic environment is an intraplate extension environment: Tectonic environment includes intraplate extension environment and high stress environment, wherein the extension environment causes crustal uplift, exposing deep scandium-rich basalt to the supergene weathering zone, providing material carrier for subsequent weathering-enrichment process; although high stress environment may expose parent rock due to thrusting and overthrusting, it is easy to destroy the interlayer adsorption structure of clay minerals, and the rapid circulation of groundwater caused by tectonic activity is easy to cause the migration and loss of scandium elements; therefore, the intraplate extension environment is one of the mineralization probability judgment conditions.

[0019] 2) Parent rock and weathering characteristics include parameters: parent rock TiO2 content and weathering intensity index; Parent rock TiO2 content: Basalt is derived from partial melting of the mantle, and scandium (Sc 3+ ) and titanium (Ti 4+) due to similar geochemical properties (close ionic radius), they are enriched in dark minerals such as pyroxene and ilmenite during the crystallization of magma; in most cases, TiO2≥2% indicates that the initial abundance of Sc in the parent rock meets the standard (≥30×10 -6 ), providing a material basis for subsequent enrichment; therefore, the TiO2 content of the parent rock is one of the conditions for judging the probability of mineralization; The weathering intensity index can represent the weathering stage. If the weathering intensity index is ≥0.6, i.e., the ratio of clay minerals to parent rock clasts is ≥0.6, it indicates that the parent rock has entered the stage of intense weathering, and the lattice of scandium-containing minerals has been completely destroyed. Sc 3+ is released in large quantities and enters the fluid phase; the parent rock is mainly physically weathered, with only slight chemical decomposition, and scandium is still trapped in the lattice of primary minerals and cannot participate in subsequent adsorption and enrichment processes; therefore, the weathering intensity index greater than the specified threshold is one of the conditions for judging the probability of mineralization.

[0020] 3) Geochemical characteristics include whole-rock Sc condition and positive correlation coefficient of Sc and Al2O3; The whole-rock Sc condition is the industrial exploitation boundary value of residual-accumulation-type scandium minerals. If it is lower than the threshold value, even if other conditions meet the standard, it cannot meet the economic threshold of mineral separation and recovery, and has no industrial value; in general, the whole-rock Sc requirement is ≥50×10 -6 ; Positive correlation coefficient of Sc and Al2O3: Al2O3 mainly comes from clay minerals (kaolinite, montmorillonite) formed by weathering, and high correlation between Sc and Al2O3 indicates that Sc 3+ is stably adsorbed in the interlayer of clay minerals through ion exchange; if the correlation is insufficient, it indicates that Sc 3+ is not effectively fixed by clay and is easily transported horizontally or leached vertically with groundwater; therefore, the positive correlation coefficient of Sc and Al2O3 greater than the specified threshold (such as ≥0.6) is one of the conditions for judging the probability of mineralization.

[0021] 4) Geophysical characteristics include magnetic susceptibility and polarizability; The magnetic susceptibility of the residual-accumulation layer is mainly affected by limonite (Sc-bearing mineral with weak magnetic Fe 3+ ) and residual magnetic minerals in the parent rock; magnetic susceptibility ≥300×10 -5 SI can comprehensively indicate the enrichment of magnetic Sc-bearing minerals and related associated magnetic minerals, and indirectly reflect the associated potential of Sc 3+ ; below the threshold value, the content of magnetic Sc-bearing minerals such as limonite is insufficient, and the probability of scandium enrichment is significantly reduced; therefore, the magnetic susceptibility ≥300×10 -5 SI is one of the conditions for judging the probability of mineralization; Clay minerals (interlayer ion conduction) are prone to surface polarization effect, and limonite (weak electronic conduction) can produce electronic polarization effect, both of which contribute to the polarization signal; the polarization rate higher than the threshold value (such as 3%) indicates that the total amount of scandium-bearing minerals (clay, limonite) is sufficient to provide a stable carrier basis for scandium element adsorption; when it is lower than the threshold value, the scandium-bearing minerals are scarce, and the scandium element is difficult to effectively enrich; therefore, the polarization rate ≥ 3% is one of the metallogenic probability judgment conditions.

[0022] After determining the relevant parameter indicators of the metallogenic probability judgment condition, the indicators of the metallogenic probability judgment condition can be used as input parameters to construct a residual deposit type scandium mineral metallogenic probability estimation model.

[0023] The scandium mineral metallogenic probability estimation model includes an index standard determination sub-model, an index correlation sub-model, and a metallogenic stage judgment sub-model, and the specific construction process is as follows: Step S101: The index standard determination sub-model is used to define the reaching standard rules of each index, and the construction method is as follows: 1) Eight measurable units are extracted from the four types of geological conditions, which are fault zone density and tectonic environment of the tectonic type, parent rock type + TiO2 and weathering intensity index of the parent rock and weathering type, whole rock Sc and Sc and Al2O3 correlation of the geochemical type, and magnetic susceptibility and polarization rate of the geophysical type; In order to facilitate calculation, the measurable units are coded by using the dimension abbreviation sequence number, and the eight measurable units are coded as follows: GZ-01: fault zone density, GZ-02: tectonic environment, FY-01: parent rock type + TiO2, FY-02: weathering intensity index, DH-01: whole rock Sc, DH-02: Sc and Al2O3 correlation, WL-01: magnetic susceptibility, and WL-02: polarization rate.

[0024] 2) The determination reaching standard rules of the measurable units are defined to realize the index quantification of the measurable units. When the values of each index meet the conditions, the index reaching standard value S is assigned a value of 1, otherwise it is assigned a value of 0.

[0025] The reaching standard rules are shown in Table 1: Table 1 Index standardization comparison table In the index standard determination sub-model, the index reaching standard value S of each index is obtained according to the index values of the input eight measurable units.

[0026] Step S102: The index correlation sub-model is constructed; in the index correlation sub-model, the index combination is defined to reflect the synergistic relationship between the indexes, and the importance of each index (i.e. the measurable unit) is classified; The synergistic relationship refers to the mutual assistance effect in the metallogenic process when two or more indexes in the index combination all meet the standard. When indexes with synergistic relationship all meet the standard, the effect of the two indexes on metallogenic determination reaches 1+1 greater than 2. Specifically, the synergistic relationship reflects the tectonic state, parent rock weathering state, scandium grade-absorption capacity and magnetism-polarization degree, and therefore, the index combination can be defined as including: a tectonic synergistic combination, a parent rock-weathering linkage combination, a scandium grade-absorption correlation combination and a magnetism-polarization synergistic combination.

[0027] The indexes included in each index combination and the effects are specifically shown in Table 2: Table 2 Index combination

[0028] Further, the mutual assistance effect can be reflected by a basic coefficient L b and a strong correlation coefficient L r ; wherein the value of the strong correlation coefficient L r of one index is greater than the value of the basic coefficient L b ; the basic coefficient L b is a parameter for measuring the contribution of a single index to metallogenic when the single index acts independently, and the strong correlation coefficient L r is used to reflect the contribution to metallogenic when multiple correlated indexes act synergistically. In this step, the basic coefficient L b and the strong correlation coefficient L r of each index are defined. The "basic coefficient + strong correlation coefficient" double parameter system designed in this step uses a higher strong correlation coefficient to calculate the contribution when the indexes in the combination all meet the standard, accurately quantifies the synergistic effect, and reflects the synergistic assistance effect.

[0029] The index correlation sub-model also classifies the indexes into core indexes, important indexes and auxiliary indexes according to the importance of each index; and defines different influence coefficients according to the importance for different classifications, so as to clearly define the core constraint boundary and strengthen the actual guidance value. For example, the whole rock Sc which can represent the industrial boundary grade is classified as a core index. If the index does not meet the standard, the contribution of the element enrichment stage is directly reduced, avoiding the situation of "no industrial value but determined as high potential".

[0030] The index classification and the definition of the basic coefficient and the strong correlation coefficient of the index are shown in Table 3: Table 3 Index classification and calculation coefficient

[0031] Step S103: Constructing a metallogenic period stage judgment sub-model, which is used to determine the calculation method of the stage contribution degree. When the contribution degree of the stage is calculated, firstly, it is judged whether multiple indexes in the same index combination in Table 2 satisfy the standard condition at the same time, if the standard condition is satisfied at the same time, the strong correlation coefficient L of the index is selected to calculate the contribution degree of the metallogenic stage of the index r If the standard condition is not satisfied at the same time, the basic coefficient L of the index is selected to calculate the contribution degree of the metallogenic stage of the index b The contribution degree of the metallogenic stage is calculated, and finally, the contribution degrees of the indexes are accumulated to become the stage contribution degree.

[0032] For example, the indexes of a target area GZ-01 and GZ-02 satisfy the standard condition at the same time, the coefficient of GZ-01 is 0.7, and the coefficient of GZ-02 is 1.1; in FY-01 and FY-02, FY-01 satisfies the standard condition, and FY-02 does not satisfy the standard condition, so the coefficient of FY-01 is 1.2, and the coefficient of FY-02 is 0. =0; DH-01 and DH-02, WL-01 and WL-02 all satisfy the standard condition, and the coefficients of the four parameters are 1.3, 1.1, 1.1 and 0.7 respectively.

[0033] The calculation method of the stage contribution degree is represented as: V= , Wherein, V is the stage contribution degree, i is the index number, n is the number of indicative indexes, is the index value of the index with the serial number i, is the coefficient of the index, and Wherein, is the basic coefficient, is the strong correlation coefficient.

[0034] Wherein, the number of indicative indexes is the index needed to be referred to for judging the metallogenic stage of the residual slope accumulation type scandium ore.

[0035] In the application, the metallogenic stage of the residual slope accumulation type scandium ore can be divided into the material supply stage, the element release stage and the element enrichment stage; different metallogenic stages have different indicative indexes, and the stage contribution degree calculated according to different indicative indexes can judge the metallogenic stage of the residual slope accumulation type scandium ore in the target area.

[0036] The relationship definition of the metallogenic stage, the indicative index and the stage contribution degree reference value of the stage for judging the stage is shown in Table 4. Table 4 indicative indexes and contribution degree reference values of different metallogenic stages

[0037] In the above example, the stage contribution degree V (material supply) of the target area material supply stage is 1.1+1.2=2.3, the stage contribution degree V (element release) of the element release stage is 0.7+0=0.7, and the stage contribution degree V (element enrichment) of the element enrichment stage is 1.3+1.1+1.1+0.7=4.2.

[0038] Step S104: Calculate the stage ore-forming probability and the comprehensive ore-forming probability, wherein the comprehensive ore-forming probability is the output result of the residual-accumulation-type scandium ore-forming probability estimation model; 1) First, calculate the stage contribution degree V and the stage ore-forming probability P 阶 , the calculation method is: P 阶 =V / V s , wherein V is the sum of the actual contribution degrees of the stages, and V s is the stage contribution degree reference value; If P 阶 ≥1.0, then P 阶 =1.0; 2) Then, calculate the comprehensive ore-forming probability P and classify the probability value; The calculation method is: P=P 阶1 ×P 阶2 ×P 阶3 , wherein P 阶1 is the ore-forming probability of the material supply stage, P 阶2 is the ore-forming probability of the element release stage, and P 阶3 is the ore-forming probability of the element enrichment stage.

[0039] As can be seen, in the calculation process of the comprehensive ore-forming probability P, the stage probabilities of the three stages are multiplied, which reflects the stage division constraint. In actual application, if P 阶1 <0.5, even if the indicators of the stages are all excellent, the impact of the deficiency needs to be considered, so that the estimation result is more in line with the actual ore-forming process. Compared with the existing "non-discriminatory superposition" method, the logical error can be effectively reduced.

[0040] Further, the potential of the comprehensive ore-forming probability is classified, including: P≥0.7 (high potential), 0.5≤P<0.7 (medium potential), and P<0.5 (low potential).

[0041] In a single ore-forming practice, if the exploration area is a favorable area with ore-forming potential, the P 阶 of the three stages is higher than 0.7.

[0042] Step S110: Obtain the residual slope type scandium ore metallogenic characteristic index of the survey area; the residual slope type scandium ore metallogenic characteristic index is the corresponding parameters of geological structure characteristics, parent rock and weathering characteristics, geochemical characteristics and geophysical characteristics, which are respectively: fracture zone density, tectonic environment, parent rock type + TiO2, weathering intensity index, whole rock Sc, Sc and Al2O3 correlation, magnetic susceptibility and polarization rate.

[0043] For example, a certain target area index includes: fracture zone density is 1.2 per square kilometer, tectonic environment is intraplate extension, parent rock is basalt and TiO2 is greater than or equal to 2.5%, weathering intensity index is 0.8, whole rock Sc is 68×10 -6 , the correlation coefficient of Sc and Al2O3 is 0.6, the magnetic susceptibility is 320×10 -5 SI, and the polarization rate is 2.8%.

[0044] Step S120: Load the residual slope type scandium ore metallogenic probability estimation model, and calculate the stage metallogenic probability according to the residual slope type scandium ore metallogenic characteristic index; The residual slope type scandium ore metallogenic probability estimation model includes an index standard determination sub-model, an index correlation sub-model and a metallogenic stage judgment sub-model; 1) In the index standard determination sub-model, the index number of the target area and the compliance of the index are judged, as shown in Table 5: Table 5 Index compliance rule explanation table

[0045] 2) In the index correlation sub-model, the index classification is determined, as shown in Table 6: Table 6 Index correlation coefficient definition table 3) In the stage judgment sub-model, the probability P 阶 of each stage and the comprehensive metallogenic probability P are calculated; Specifically, The indicative index of the material supply stage is GZ-02, FY-01, Then P 阶1 = (1×1.1+1×1.3) ÷ 2.2 = 1.09, taking the value 1.0; The indicative index of the element release stage is GZ-01, FY-02, Then P 阶2 = (1×0.7+1×1.1) ÷ 1.6 = 1.13, taking the value 1.0; The indicative index of the element enrichment stage is DH-01, DH-02, WL-01, WL-02, Then P 阶3= (1*1.3 + 1*1.1 + 1*1.0 + 0*0.6) / 3.8 = 0.89.

[0046] The comprehensive metallogenic probability P = P 阶1 * P 阶2 * P 阶3 = 0.89, that is, the comprehensive metallogenic probability of the target area is 0.89.

[0047] Step S130: obtaining the comprehensive metallogenic probability and potential classification, and judging the residual accumulation type scandium ore metallogenic probability.

[0048] According to the judgment of the comprehensive metallogenic probability and the potential classification, it can be judged that the target area belongs to a high potential target area.

[0049] The present application realizes the agreement of the stage rule of the metallogenic period by the design of the residual accumulation type scandium ore metallogenic probability estimation model, so as to improve the estimation logicality: in the residual accumulation type scandium ore metallogenic probability estimation model, the stage metallogenic logic of the residual accumulation type scandium ore "material supply -> element release -> element enrichment" is followed, 8 core indexes are classified according to the stage, and the calculation mode of the comprehensive metallogenic probability reflects the restriction of each stage; at the same time, the design of the strong correlation index combination summarized according to the domestic typical deposit data sets the coefficient standard of all standards and single standard, so as to highlight the synergistic value between multiple indexes, and the design can improve the estimation accuracy of the residual accumulation type scandium ore metallogenic probability through the verification of typical deposits in Guizhou, Yunnan, Guangxi and other regions.

[0050] In the estimation process, the index coding, standardization control table and calculation of each stage probability are adopted, so as to form the complete operation process of "data measurement -> index standardization -> coefficient selection -> stage probability calculation -> comprehensive probability classification", each step has clear parameters and formula support, and exploration personnel can quickly start without complex professional knowledge. Compared with the existing complex algorithm, the application threshold can be reduced, and the method can be quickly popularized to the basic exploration team.

[0051] The above disclosure is only a few specific embodiments of the present application, but the present application is not limited thereto, and any person skilled in the art can make adaptive adjustment and derivative design according to the specific application scene under the framework of the core principle of the present application, which should fall within the protection scope of the present application.

Claims

1. A method for modeling and evaluating geological parameters of the mineralization probability of residual slope-type scandium deposits, characterized in that, Includes the following steps: A probability estimation model for residual slope scandium deposits was constructed by identifying indicators related to the mineralization conditions of residual slope scandium deposits. These indicators include: fault zone density, tectonic environment, parent rock type + TiO2, weathering intensity index, whole-rock Sc, correlation between Sc and Al2O3, magnetic susceptibility, and polarizability. The input parameters of the probability estimation model are these indicators. The output of the model is the comprehensive mineralization probability P, which is determined based on the mineralization probability P of each mineralization stage. 阶 The mineralization stage is calculated and generated; the mineralization phase includes: material supply, element release, and element enrichment; the mineralization probability P of the mineralization phase is calculated. 阶 It is determined by indicators related to the mineralization conditions of scandium ore; Obtain mineralization characteristic indicators of residual slope-type scandium deposits in a specified target area; Load the residual slope scandium mineralization probability estimation model, input the mineralization characteristic index of the residual slope scandium, and calculate the comprehensive mineralization probability; Obtain comprehensive mineralization probability and potential classification to determine the mineralization probability of residual slope-type scandium deposits in a specified target area.

2. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 1, characterized in that, The mineralization probability estimation model includes an indicator standard determination sub-model, an indicator correlation sub-model, and a mineralization stage judgment sub-model. The indicator standard determination sub-model is used to define the compliance rules for each indicator and calculate the compliance value S for each indicator. The indicator association sub-model is used to define indicator combinations to reflect the synergistic relationship between indicators, classify the importance of each indicator, and define the basic coefficient L for each indicator. b And strong correlation coefficient L r The synergistic relationship refers to the mutually supportive effect that occurs during the mineralization process when two or more indicators within a combination of indicators meet the target; this mutually supportive effect is quantified by the strong correlation coefficient L between the indicators. r This is reflected in the strong correlation coefficient L of the indicators. r The value is greater than the basic coefficient L b The value; The sub-model for determining the mineralization stage is used to determine the benchmark value V of the stage contribution for different mineralization stages. s The method for calculating the total contribution V of the definition stage; the mineralization stage corresponds to different indicative indicators.

3. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 2, characterized in that, The method for calculating the overall mineralization probability P includes: Calculate the mineralization probability P for each mineralization stage. 阶 The calculation method is as follows: P 阶 =V / V s Where V is the sum of the stage contributions of each mineralization stage, V s This is the baseline value for the stage contribution; if P 阶 If P ≥ 1.0, then P 阶 =1.0; The overall mineralization probability P is calculated as follows: P=P 阶1 ×P 阶2 ×P 阶3 , where P 阶1 For the mineralization probability during the material supply stage, P 阶2 For the ore formation probability during the element release phase, P 阶3 This represents the mineralization probability during the element enrichment stage.

4. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 2, characterized in that, The method for calculating the sum of stage contributions V for each mineralization stage is as follows: V= ， Where V represents the total contribution of each stage, i is the indicator number, and n is the number of indicative indicators. This represents the target value for indicator number i. Let be the coefficient of this indicator, and ,in, Based on the coefficient, This is a strong correlation coefficient.

5. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 2, characterized in that, The basic coefficient L b It is a parameter that measures the contribution of a single indicator to mineralization when it acts independently, and is used to calculate the stage contribution when the combination of indicators does not meet all the standards. The strong correlation coefficient L r Used to reflect the contribution of multiple related indicators to mineralization when they work synergistically, and used to calculate the stage contribution when all indicators meet the standards.

6. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 2, characterized in that, The results of classifying the importance of each indicator include core indicators, important indicators, and auxiliary indicators; The core indicators include: parent rock type + TiO2, whole rock Sc; important indicators include: tectonic environment, weathering intensity index, correlation between Sc and Al2O3 and magnetic susceptibility; and auxiliary indicators include: fault zone density and polarizability.

7. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 2, characterized in that, The different indicative indicators corresponding to the mineralization stages refer to: Indicative indicators of the material supply stage include: tectonic environment, parent rock type, and TiO2. Indicative indicators of the element release phase include: fault zone density and weathering intensity index; Indicative indicators of element enrichment stages include: whole-rock Sc, correlation between Sc and Al2O3, magnetic susceptibility, and polarizability.

8. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 1, characterized in that, The residual slope type scandium mineralization probability estimation model also supports potential classification based on comprehensive mineralization probability, which includes: high potential, medium potential and low potential.

9. The geological parameter modeling and evaluation method for the mineralization probability of residual slope-type scandium deposits according to claim 1, characterized in that, The residual slope scandium mineralization probability estimation model uses dimension abbreviations to encode indicators related to the mineralization conditions of residual slope scandium, including: GZ-01: Fault zone density, GZ-02: Tectonic environment, FY-01: Parent rock type + TiO2, FY-02: Weathering intensity index, DH-01: Whole rock Sc, DH-02: Correlation between Sc and Al2O3, WL-01: Magnetic susceptibility, WL-02: Polarizability.

Images