A method for estimating residual accumulation type anatase metallogenic probability based on multi-source parameters

Abstract

The present application relates to the technical field of mineral exploration, and discloses a method for estimating residual deposit type anatase mineralization probability based on multi-source parameters, comprising: determining geological data of a geographical area, and collecting sample characteristics of a sampling geological sample; extracting a first characteristic index set to determine regional classification of the geographical area, wherein the regional classification comprises a conventional survey area, a primary mineralization mode area and a secondary mineralization mode area; extracting a second characteristic index set from the geological data to calculate a standard mineralization probability; calculating a weathering correction coefficient and a maturity correction coefficient; correcting the standard mineralization probability to generate a mineralization probability, and determining whether the geographical area is a high-potential target area according to the mineralization probability. According to the above technical solution, the mineralization probability determination standard can be determined under different conditions, and the standard correction can be determined, so as to realize the judgment of the high-potential target area.

Description

Technical Field

[0001] This invention relates to the field of mineral exploration technology, and more specifically, to a method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters. Background Technology

[0002] Residual slope deposits of anatase are an important titanium resource. Their mineralization depends on a synergistic process of "basalt weathering - clay mineral adsorption - karst depression deposition," exhibiting significant characteristics of "dispersion, low-grade anomalies, and multi-factor ore control." While current mineral resource exploration is gradually delineating target areas using multi-dimensional parameters such as stratigraphy, geological structure, and geochemistry, this multi-parameter application still largely relies on empirical models. Even experienced exploration technicians often judge mineralization potential through field geological mapping and personal experience. For example, the definition of key ore-controlling features such as "favorable fold limbs" and "strongly weathered zones" still lacks unified quantitative standards. For instance, the dip angle of fold limbs lacks a specific threshold, and strongly weathered zones are not further defined in conjunction with weathering crust thickness or clay mineral content. This empirical analytical model has significant limitations. The mineralization of residual slope anatase deposits is constrained by multiple factors, including tectonic uplift, weathering intensity, and karst topography. Relying solely on experience makes it difficult to accurately match the complex mineralization coupling relationships. For example, although some areas may meet the TiO2 content standard, they may lack industrial ore bodies due to the lack of karst depressions or excessively thin residual slope layers. If the target area is delineated solely based on "basalt distribution + empirical weathering description" without quantitatively defining the degree of weathering, it can lead to a drilling failure rate exceeding 30%. Furthermore, different exploration personnel may disagree on the qualitative judgment of mineralization indicators. For instance, when facing the same fold limb, some may determine it to be "favorable," while others may consider it "favorable at the boundary." This disagreement directly results in poor repeatability of the mineralization potential assessment results for the same area. Especially in complex karst topography areas, the problem of blurred target area boundaries due to differences in experience is more likely to occur, making it difficult to support efficient and accurate mineral exploration. On the other hand, residual-colluvial anatase exhibits mineralization differences among "conventional exploration areas," "primary mineralization model areas," and "secondary mineralization model areas." For example, in the transitional zone of hydrothermal superposition, continuing to use the "high weighting of sedimentary indicators" from the primary mineralization model area will underestimate the ore-controlling effect of faults and geophysical anomalies, leading to the underestimation of weak mineralization under the mixing mechanism. Therefore, the method for determining the mineralization probability of residual-colluvial anatase needs to be tailored to different regional stages.

[0003] Therefore, with the increasing demands for precision in mineral resource exploration, there is an urgent need for a multi-source parameter that integrates multi-dimensional geological features to achieve an objective assessment of mineralization potential, thereby improving the efficiency of target area screening and the success rate of mineral exploration. Summary of the Invention

[0004] To achieve the above objectives, this application provides a method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters, comprising the following steps:

[0005] The process involves identifying a geographic region, collecting geological data from that region, and taking geological samples from that region to collect sample characteristics. The types of geological data include stratigraphic features, geological structural features, lithofacies paleogeographic features, geochemical features, and geophysical features. Sample characteristics include global and local features.

[0006] The first set of feature indicators is extracted from geological data to determine the regional classification of a geographical area. The regional classification includes: conventional exploration area, main metallogenic model area and secondary metallogenic model area.

[0007] Extract a second set of feature indicators from the geological data. Based on the regional classification of the geographical region, the standard mineralization probability of the geographical region is calculated. Among them, the second characteristic index set Represented as: Where i is the feature number, For the i-th feature, Let i be the standard value of the i-th feature. Let represent the importance of the i-th feature, and n be the total number of features; where importance is defined for each feature based on the characteristics of different region classifications, and the range of importance values ​​is unlimited.

[0008] Calculate the weathering correction factor based on global characteristics. Calculate the maturity correction coefficient based on local characteristics. ;

[0009] According to weathering correction factor and maturity correction coefficient Standard mineralization probability Make corrections to generate the mineralization probability of residual slope anatase. Based on the mineralization probability of residual slope anatase Determine whether the geographical area is a high-potential target area for residual slope deposits of anatase.

[0010] The methods for defining importance include:

[0011] If the area is classified as a conventional exploration area, the importance is set as follows: lithofacies paleogeographic features and stratigraphic features are the highest, geochemical features and geological structural features are slightly lower, and geophysical features are the lowest; the importance of the features of the conventional exploration area is the baseline configuration.

[0012] If the region is classified as a major metallogenic model area, the importance of lithofacies paleogeographic features, stratigraphic features, and geochemical features shall be increased based on the baseline configuration.

[0013] If the region is classified as a secondary mineralization model area, the importance of geological structural features, stratigraphic features, and geophysical features is increased based on the baseline configuration.

[0014] The stratigraphic features include whether it is a basalt distribution area and the structure of the overlying strata; the geological structural features specifically include the density of fault zones and the dip angle of fold limbs; the lithofacies paleogeographic features specifically include the density of karst depressions, the thickness of residual slope deposits, the distance to adjacent deposits, and the slope; the geochemical features include TiO2 content, Al2O3 / TiO2 and Fe2O3 / TiO2; and the geophysical features include resistivity and the density characteristics Δg of residual slope deposits.

[0015] Furthermore, the first set of characteristic indicators includes: basalt distribution area, overlying strata, fault zone density, karst depression density, residual slope layer thickness, and TiO2 content;

[0016] The second characteristic indicators include: basalt distribution area, overlying strata, fault zone density, dip angle of fold limbs, karst depression density, thickness of residual and colluvial deposits, distance from adjacent mineralization sites, slope, TiO2 content, and Al2O3 / TiO2 ratio. 2、 Fe2O3 / TiO2, resistivity and density characteristics Δg.

[0017] Furthermore, the standard mineralization probability of a geographical region is calculated. Includes the following steps:

[0018] Extract the measured values ​​of features from the second feature index set in the geographic region. , the measured value To convert to a standardized value, the calculation method is as follows: ,in, Measured value The corresponding standardized value;

[0019] Calculated weights are generated for each feature based on its importance. ;

[0020] According to the calculated weights and standard value Calculate the standard mineralization probability of a geographical region under ideal conditions. The estimation method is as follows: ,in, For the standardized score of the i-th indicator, Let be the weight of the i-th indicator.

[0021] Among them, weight The calculation method is as follows:

[0022] ,in, For the first Importance of a feature This represents the minimum importance value. For the first The weights of the features, where m is the number of importance grading intervals; Let N be the feature index, and N be the total number of features, with N items. The total value is 1.

[0023] Furthermore, global features include: the range of weathering crust thickness and the range of clay mineral content, and the weathering correction factor. The calculation method is as follows:

[0024] ,

[0025] Where H is the thickness of the weathering crust and C is the clay mineral content.

[0026] Local characteristics include the proportion of fine-grained material and structural stability; maturity correction coefficient. The calculation method is as follows:

[0027] ,

[0028] Where F represents the proportion of fine-grained matter. For structural stability.

[0029] Furthermore, regarding the standard mineralization probability The method for making the correction is as follows:

[0030] ,in, The mineralization probability of residual slope anatase is 0. ;

[0031] If the mineralization probability of the residual slope deposit type anatase is... If the value exceeds a specified threshold, the geographical area is determined to be a high-potential target area.

[0032] According to this invention, criteria for determining the mineralization probability of residual-colluvial anatase deposits in different regions under different conditions are established, and these criteria are modified based on actual circumstances. In application, the index values ​​under these criteria are obtained through routine field geological surveys and laboratory analysis, enabling the identification of high-potential target areas. This process requires no complex equipment; exploration personnel can quickly complete mineralization probability assessments of single areas using simple tools, making it particularly suitable for areas with significant geochemical interference and limited field conditions. Attached Figure Description

[0033] Figure 1 This is a step diagram of the method for estimating the mineralization probability of residual slope deposits of anatase provided in an embodiment of the present invention. Detailed Implementation

[0034] The specific implementation of the present invention will now be described in detail with reference to the accompanying drawings.

[0035] The present invention provides a method for estimating the mineralization probability of residual slope deposits of anatase based on multiple source parameters, as follows: Figure 1 As shown, it includes the following steps:

[0036] Step S100: Determine the geographical region and collect geological data from the geographical region. The types of geological data include stratigraphic features, geological structural features, lithofacies paleogeographic features, geochemical features, and geophysical features.

[0037] 1) The stratigraphic characteristics need to be considered whether it is a basalt distribution area and whether the overlying strata are Quaternary + Middle Permian Maokou Formation limestone assemblage;

[0038] Basalt is the parent material of colluvial anatase deposits, and its distribution directly determines the initial supply of titanium. This basalt is a high-titanium basalt, and titanium (Ti) is abundant during magma evolution. 4 (⁺) Through isomorphous entry into the crystal lattice of minerals such as pyroxene, titanium provides the material basis for later weathering and enrichment into mineralization. Even if basalt is not directly exposed, mineralization may still occur in areas covered by its weathering products (such as titanium-bearing debris and clay minerals): during weathering, titanium in basalt migrates with debris and is re-enriched in downstream areas. In non-basalt distribution areas (such as granite and sandstone areas), due to the lack of high-titanium parent rocks, it is difficult to form anatase mineralization. This pattern has been verified in multiple exploration cases in southwestern Guizhou.

[0039] The Quaternary and Middle Permian Maokou Formation limestone assemblage provides dual mineralization conditions for residual slope anatase deposits, namely "ore-bearing space and material preservation." The Middle Permian Maokou Formation limestone, as the basement stratum, forms negative topography such as solution depressions and karst fissures through karst processes, providing natural sedimentary interfaces for basalt weathering products. Analysis of the geological characteristics of the first residual slope anatase discovered in Guizhou reveals that the ore bodies are all located in solution channels and karst fissures within the Maokou limestone. The limestone's resistance to weathering makes it a stable "mineralization base." The overlying Quaternary strata (i.e., residual slope deposits) directly host the ore bodies. Their loose structure not only accommodates a large amount of weathered material but also fixes titanium elements through the adsorption of clay minerals, preventing their loss with groundwater. In a certain deposit in Guizhou, clay minerals such as kaolinite account for over 50% of the Quaternary residual slope deposits, effectively encapsulating the fine-grained inclusions of anatase. If the basement is composed of non-limestone strata such as sandstone and shale, it is difficult to form karst negative topography and it is easily weathered and eroded, making it impossible to provide a stable sedimentary space for mineralization; if there is a lack of Quaternary cover, the weathered material is directly exposed to the surface, which is easily damaged by leaching and makes it difficult to form continuous ore bodies.

[0040] 2) Geological structural features specifically include fault zone density and the dip angle of fold limbs;

[0041] Fault zone density is an indirect ore-controlling factor in the mineralization of residual-colluvial anatase deposits, reflecting the intensity of regional tectonic activity and the development of material migration channels. Although fault zones are not the direct ore-hosting space of residual-colluvial deposits, they can provide channels for the migration of basalt weathering material: fault activity leads to bedrock fracturing, increasing the contact area for weathering and accelerating the release of titanium from basalt; areas with fault zone density reaching a certain level (e.g., ≥2 faults / km²) are usually accompanied by strong tectonic uplift, causing basalt strata to be exposed at the surface and subjected to weathering (uplift is a prerequisite for surface weathering), while in tectonically stable areas (fault zone density <1 fault / km²), basalt is mostly buried deep underground, making weathering and mineralization difficult. However, when considering the characteristics of residual-colluvial deposits, weathering can influence the impact of fault zone density.

[0042] The dip angle range of the fold limbs can reflect the ideal tectonic location of residual slope anatase ore bodies, satisfying the dual requirements of balanced stratigraphic exposure and material accumulation; it can also assess the stability of the strata, analyze whether excessive steepness will lead to landslides or collapses, and provide a tectonic environment for ore body preservation. Specifically, when the dip angle of the fold limbs is too gentle (<10°), the strata are nearly horizontal, and basalt weathering material easily diffuses widely along the bedding plane, making it difficult to accumulate locally; when the dip angle is too steep (>20°), weathering products are easily lost rapidly due to gravity, making it impossible to form stable residual slope deposits; a limb dip angle of 10°-20° is often accompanied by the development of secondary karst depressions: folding creates microfractures in the limb strata, providing channels for groundwater dissolution and gradually forming negative topography conducive to material accumulation.

[0043] 3) The specific lithofacies paleogeographic features include karst depression density, residual slope thickness, distance from adjacent mineral deposits, and slope.

[0044] Karst depression density directly reflects the degree of development of favorable mineralization spaces in the core enrichment sites of residual-colluvial anatase deposits. Karst depressions, formed by the dissolution of carbonate rocks, provide natural "catchment areas" for basalt weathering products. The low-lying bottom of the depression intercepts titanium minerals, clay minerals, and other ore-forming materials migrating with water flow, forming local enrichment. Areas with a depression density greater than a specified value (e.g., ≥2 depressions / km²) indicate strong dissolution of the carbonate strata, and the resulting negative topographic network efficiently captures weathered materials. Conversely, when the density is too low (e.g., <1 depression / km²), ore-forming materials are easily lost with surface runoff, making it difficult to form industrial ore bodies. Furthermore, multiple adjacent depressions can form a "cluster effect," interconnecting through surface runoff and expanding the mineralization range.

[0045] The thickness of the residual colluvial layer is the material basis for the scale of titanium enrichment, reflecting the duration of weathering and mineralization potential. The residual colluvial layer is the direct occurrence medium of anatase: only when the thickness reaches a certain index (such as ≥5m) can it be guaranteed that titanium will meet industrial requirements after long-term weathering and enrichment. Areas with a thickness of <5m are mostly in the early stage of weathering or marginal areas with insufficient material supply, where titanium has not yet been fully enriched. For example, at the top of a basalt slope where the residual colluvial layer is just 1-3m thick, the TiO2 content is generally <1.5%.

[0046] The distance to adjacent deposits is determined based on the spatial continuity of metallogenic geological conditions and the clustering of mineralization distribution, reflecting the spatial symbiotic relationship of similar deposits. The formation of residual-colluvial anatase depends on specific combinations of "basalt parent rock - karst topography - weathering deposition," which are regionally expansive: within a 5km radius of a known deposit, similar basalt distributions, karst depression development, and weathering intensity are typically shared. Titanium's migration distance during weathering is limited by topography and gravity (mostly within a few kilometers). A designated distance (e.g., 5km) around a known deposit can cover the main diffusion range of residual-colluvial deposits, avoiding the omission of homologous mineralizations due to an overly narrow range. Practical verification shows that a 5km range can both cover the extension area of ​​known mineralization and avoid including irrelevant geological units (such as non-basalt distribution areas), balancing prospecting efficiency and accuracy.

[0047] The standard threshold for slope is directly related to the depositional stability of colluvial deposits and the intensity of weathering, reflecting the control of topography on mineralization enrichment. Gentle slopes (e.g., ≤15°) (such as karst plateaus and gentle slopes) facilitate the deposition of weathered materials (including titanium and clay minerals), reducing material loss due to gravity transport and forming stable, thick colluvial layers. In steep slopes (>15°), weathering products are easily washed away by rainwater, making it difficult to form continuous ore bodies. Simultaneously, basalt weathering is insufficient on steep slopes (due to uneven sunlight and water erosion), resulting in incomplete titanium release, which is unfavorable for mineralization enrichment. Gentle terrain also maintains a weakly alkaline aquatic environment (favorable for anatase crystallization), while steep slopes are prone to rapid water loss, disrupting the ore-forming chemical conditions, further validating the rationality of this parameter.

[0048] 4) Geochemical characteristics include TiO2 content, Al2O3 / TiO2 ratio, and Fe2O3 / TiO2 ratio;

[0049] TiO2 content is a typical geochemical characteristic of residual-colluvial anatase deposits, directly reflecting the degree of titanium enrichment. From a material source perspective, basalt, as the parent rock of anatase, has a relatively high background TiO2 content (typically 2%-3%). After weathering, titanium migrates with the residual-colluvial deposits and accumulates in karst depressions, resulting in a TiO2 content in the ore body higher than the background value of the parent rock. From a mineralization ceiling perspective, residual-colluvial deposits are limited by weathering and transport capacity, making it difficult for titanium to form ultra-high concentrations (e.g., hydrothermal deposits may have TiO2 > 10%). In actual exploration, areas exceeding 5% are mostly accidental values ​​caused by local mineral intergrowth and do not possess the scale of industrial ore bodies. Below 1.5%, the deposits are mostly unenriched weathered bedrock or unmineralized sediments, insufficient to form industrially valuable ore bodies.

[0050] The Al2O3 / TiO2 ratio reflects the symbiotic relationship between clay minerals and anatase, and is a direct indicator of the "clay adsorption mineralization" mechanism in residual-colluvial deposits. In residual-colluvial anatase, titanium is mostly adsorbed by clay minerals such as kaolinite and sericite in the form of fine-grained inclusions. Clay minerals are the main carriers of Al2O3, resulting in the simultaneous enrichment of Al2O3 and TiO2.

[0051] The Fe2O3 / TiO2 ratio reflects the association between iron oxides and anatase, indicating oxidation-enrichment conditions under weathering conditions. Residual-colluvial deposits form in oxidizing environments on the surface. During basalt weathering, iron is released from silicate minerals (such as pyroxene) and oxidized to limonite (the main form of Fe2O3). Anatase is often closely associated with limonite; therefore, the Fe2O3 and TiO2 contents are positively correlated.

[0052] 5) Geophysical characteristics include resistivity and density characteristics Δg of residual slope deposits.

[0053] Resistivity reflects the electrical characteristics of the strata hosting residual-colluvial anatase and is closely related to the material composition of the ore body. The hosting medium for residual-colluvial anatase is Quaternary loose deposits, mainly composed of weathered basalt debris, clay minerals such as kaolinite, and limonite, and contains a significant amount of pore water. Clay minerals, due to their fine particle size and large specific surface area, have strong electrical conductivity; pore water further enhances the conductivity of the strata, resulting in a significantly lower resistivity in this stratum compared to the underlying bedrock; for example, the resistivity of the Maokou Formation limestone is typically >500 Ω·m. Geophysical data from a sand deposit in a certain area show that the resistivity of the residual-colluvial strata where the ore body is located is concentrated between 20-50 Ω·m, while the resistivity of the unmineralized bedrock area is generally >100 Ω·m. Therefore, a resistivity less than a specified value (e.g., ≤50 Ω·m) can effectively delineate weathered layers rich in clay minerals and pore water, indirectly indicating the potential hosting space for anatase.

[0054] The density characteristic Δg of residual-colluvial deposits reflects the density difference between loose sediments and bedrock. Residual-colluvial layers are composed of low-density materials, including clay minerals (2.4-2.6 g / cm³) and basalt fragments (2.7-2.8 g / cm³), with the Fumaokou Formation limestone having a higher density (2.7-2.9 g / cm³). This density difference leads to localized low gravity anomalies. However, compared to dense ore bodies (such as hydrothermal titanium deposits), the density difference in residual-colluvial layers is smaller, and the magnitude of gravity anomalies is weaker. For example, the measured gravity anomaly values ​​of sand deposits in a certain area of ​​Guizhou are mostly between -3 and -5 mGal. Using a strict gravity threshold (e.g., Δg < -2mGal) may miss weak anomalies in residual slope deposits; while relaxing the threshold (e.g., Δg ≥ -5mGal) can capture the density difference signal between loose layers and limestone, and avoid missed detection due to the anomaly amplitude being too small, which is more in line with the geophysical characteristics of residual slope anatase.

[0055] On the other hand, since the mineralization core of residual-colluvial anatase is "the release of titanium elements from basalt through long-term weathering, followed by adsorption and enrichment through clay minerals," different weathering stages significantly affect the release and adsorption efficiency of titanium elements. This characteristic can be reflected in the differences in weathering crust thickness and clay mineral content. If the residual-colluvial deposits have a high proportion of fine-grained material and a stable structure, they can reduce the loss of titanium minerals due to gravity or water flow, providing continuous accumulation space for mineralization. In contrast, residual-colluvial deposits with a predominantly coarse-grained structure lead to the dispersion of titanium elements. Therefore, the "maturity" of the residual-colluvial deposits can be judged by the proportion of fine-grained material and structural stability, reflecting the ability of titanium minerals to be stably preserved.

[0056] Based on this, in order to further understand the geological characteristics of this geographical region, geological samples were taken from the region. Sample characteristics were collected through experimental methods. These characteristics consist of global and local features. Global features include weathering crust thickness and high clay content, which can be used to determine the degree of weathering and titanium enrichment. Local features include the proportion of fine-grained material and structural stability, which can be used to determine whether titanium minerals can be stably preserved.

[0057] In this step, after obtaining the characteristics of the geographical region and geological samples, the attributes and attribute values ​​of each characteristic are defined. The attribute is determined by the evaluation purpose of the characteristic, which includes the applicable scenario and secondary scenarios. In this invention, the applicable scenario includes regional classification, calculation, and correction; the secondary scenario is the specific scope of the applicable scenario during calculation and the specific content of the correction (weathering degree correction and maturity correction); the attribute value includes the judgment criteria and weight; the judgment criteria are the set conditions when the characteristic is used in the evaluation purpose; in this invention, the attribute definitions of the characteristics of the geographical region and geological samples are shown in Table 1:

[0058] Table 1 Feature Attribute Definition Table

[0059]

[0060] In this step, after determining the characteristics of the geographical region and geological samples, the measured values ​​of the geographical region characteristics are extracted through field geological surveys, and the measured values ​​of the sample characteristics are obtained through laboratory analysis of the geological samples.

[0061] Step S110: Extract a first set of feature indicators from the geological data to determine the regional classification of the geographical area. The regional classification includes: conventional exploration area, main metallogenic model area and secondary metallogenic model area.

[0062] In this step, features and feature values ​​applicable to regional classification are extracted from geographic regions and geological samples according to the feature attribute definition table to form the first feature index set, including: basalt distribution area, overlying strata, fault zone density, karst depression density, residual slope layer thickness and TiO2 content. Based on the judgment criteria in the feature attribute definition table, the regional classification to which the geographic region belongs is determined.

[0063] Step S120: Extract a second set of feature indicators from the geological data, and calculate the standard mineralization probability of the geographical region by combining the regional classification of the geographical region. ;

[0064] In this step, the standard mineralization probability of the geographical region is calculated. Includes the following steps:

[0065] 1) Based on the obtained regional classification of the geographic region, extract the features and judgment criteria for the second scenario of the regional classification from the feature attribute definition table, determine the importance of the feature, and construct the second feature index set. The second characteristic index specifically includes: basalt distribution area, overlying strata, fault zone density, dip angle of fold limbs, karst depression density, thickness of residual and colluvial layers, distance from adjacent mineralization sites, slope, TiO2 content, and Al2O3 / TiO2 ratio. 2、 Fe2O3 / TiO2, resistivity, and density characteristics Δg. Second set of characteristic indicators. Represented as:

[0066] Where i is the feature number, For the i-th feature, Let i be the standard value of the i-th feature. Let n be the importance of the i-th feature, and n be the total number of features.

[0067] Importance is a degree of importance defined for each feature based on the characteristics of different regional classifications. Since the features involved in the evaluation change according to different geological conditions, the importance of the features will also change. To facilitate adjusting the features of new geographical regions based on the feature importance of geographical regions whose geological conditions have already been analyzed, the range of importance values ​​is not limited; it is only necessary to determine the level of importance corresponding to the magnitude of the importance value. For example, a higher importance value indicates a higher level of importance.

[0068] Methods for defining importance for different regional classifications include:

[0069] In conventional exploration areas, there are scattered mineralization basic conditions and mineralization mechanisms that are not fully developed. These areas require a complete indicator system to verify their potential. Therefore, the importance of each indicator is set as follows: lithofacies paleogeographic features and stratigraphic features are the highest, geochemical features and geological structural features are slightly lower, and geophysical features are the lowest. In this invention, the importance of the features of conventional exploration areas is used as the benchmark configuration.

[0070] Within the main metallogenic model area, the residual slope deposit type "weathering-adsorption-deposition" metallogenic mechanism is completely closed-loop (i.e., basalt fully weathers to release titanium, clay minerals are efficiently adsorbed and enriched, and karst depressions are stably deposited and preserved). It is a typical mineralization concentration area with strong correlation between stratigraphic features, lithofacies paleogeographic features, and geochemical features. Therefore, based on the above benchmark configuration, the importance of lithofacies paleogeographic features, stratigraphic features, and geochemical features should be increased.

[0071] Within the secondary mineralization model area, residual slope deposits are the dominant mineralization type. However, due to the superposition of other mineralization-controlling factors such as fault hydrothermal alteration and tectonic uplift differences, the mineralization mechanism is transitioning from "single weathering enrichment" to "multi-mechanism mixture". It is necessary to distinguish complex exploration areas with different mineralization control weights. Therefore, based on the aforementioned benchmark configuration, the importance of geological structural features, stratigraphic features and geophysical features should be increased.

[0072] 2) Extract the measured values ​​of the geographical regions corresponding to the features in the second feature index set. Standardize the indicators, which means converting the measured data into standardized values ​​of 0 or 1. The calculation method is as follows:

[0073] ,in, Measured value The corresponding standardized value.

[0074] 3) Calculate the weights for each feature based on the same number of importance values. The calculation method is as follows:

[0075] ,in, For the first Importance of a feature This represents the minimum importance value. For the first The weights of the features, where m is the number of importance grading intervals. Let N be the feature index, and N be the total number of features, with N items. The total value is 1. The number of importance grading intervals is the difference between the maximum and minimum importance values.

[0076] In this invention, the importance of each feature is adjusted according to the region classification, or the weight of all features can be adjusted accordingly after adding new features.

[0077] 4) Calculate the standard mineralization probability of a geographical region under ideal conditions based on the calculated weights and standard values ​​corresponding to each feature. The estimation method is as follows:

[0078] ,in, For the standardized score of the i-th indicator, Let i be the weight of the i-th indicator;

[0079] In this step, the standard mineralization probability is calculated. This is the standard for judgment under ideal conditions.

[0080] In reality, the core formation of residual slope anatase deposits involves the release of titanium from basalt through long-term weathering, followed by its enrichment by clay minerals. Different weathering stages and varying degrees of stability significantly impact the release and adsorption efficiency of titanium. Therefore, it is necessary to further assess the standard mineralization probability based on the specific characteristics of the samples. Adjustments will be made.

[0081] Step S130: Calculate the weathering correction coefficient based on global features Calculate the maturity correction coefficient based on local characteristics. ;

[0082] 1) Weathering correction factor The calculation involves the range of weathering crust thickness and the range of clay mineral content ratio. The calculation method is as follows:

[0083] ,

[0084] Where H is the thickness of the weathering crust and C is the clay mineral content.

[0085] In this step, a weathering correction factor is used. Quantifying the gain effect of "thick weathering crust + high clay content" allows for the precise differentiation between effective mineralization areas where titanium is fully released and efficiently adsorbed, and ineffective areas where weathering is insufficient and titanium is not enriched. This avoids underestimation or misjudgment of mineralization potential due to ignoring differences in weathering degree.

[0086] 2) Maturity Correction Coefficient :

[0087] In actual geological environments, the stability of titanium minerals depends on the "maturity" of the colluvial deposits, which is reflected in the proportion of fine-grained material and structural stability. If the proportion of fine-grained material and the structure are stable, the colluvial deposits are considered to be mature, which can reduce the loss of titanium minerals due to gravity or water flow and provide continuous accumulation space for mineralization. Immature layers (such as those with coarse grains and loose structure) are more likely to lead to the dispersion of titanium elements.

[0088] Therefore, a maturity correction factor is also introduced in this step. The calculation method is as follows:

[0089] ,

[0090] Where F represents the proportion of fine-grained matter. For structural stability.

[0091] In this step, the weathering correction factor is used. By performing maturity correction and quantifying the characteristics of high proportion of fine-grained material and stable structure in residual colluvial layers, it is possible to accurately distinguish between effective preservation areas where titanium minerals are stably preserved after accumulation and inefficient preservation areas where titanium elements are dispersed and lost due to coarse-grained dominance and loose structure. This reduces the errors caused by relying solely on the thickness of residual colluvial layers while ignoring the differences in their internal material composition and structure.

[0092] Step S140: Based on the weathering correction factor and maturity correction coefficient Standard mineralization probability Make corrections to generate the mineralization probability of residual slope anatase. The estimation method is as follows:

[0093] , of which 0 .

[0094] Based on the mineralization probability of residual colluvial anatase To determine whether a geographical area is a high-potential target area for residual-colluvial anatase, the mineralization probability of residual-colluvial anatase is... A geographical area exceeding a specified threshold can be identified as a high-potential target area, where the specified threshold is a reference boundary set based on experience; for example, When this is done, the geographical area can be identified as a high-potential target area.

[0095] In this invention, multiple indicators obtained through geological surveys are integrated, standardized, and weighted to transform them into a unified standard mineralization probability. Then, features obtained through sampling are subjected to a two-layer correction to obtain the final residual slope anatase mineralization probability. Compared with commonly used empirical models, the estimation method of this invention can effectively distinguish between "mineralization anomalies" and "non-mineralization interference," and can effectively improve the drilling mineralization rate (by more than 40%). Importantly, this invention addresses the differences in mineralization characteristics between "conventional exploration areas," "primary mineralization model areas," and "secondary mineralization model areas": for primary mineralization model areas, it emphasizes the importance of strengthening lithofacies paleontology and stratigraphic indicators, aligning with the "weathering-adsorption-deposition" closed-loop mechanism; for secondary mineralization model areas, it emphasizes the importance of geological structures and geophysical indicators to adapt to the mixed mineralization control laws of hydrothermal superposition, improving the target area fit by 25%-30% compared to general models. The algorithm provided in this invention also introduces a weathering correction coefficient. With maturity correction coefficient The "titanium element release-adsorption efficiency" and "titanium mineral retention capacity" were quantified separately using weathering correction coefficients. Distinguish between "effective weathering enrichment zones" and "ineffective weathering zones" to avoid underestimation due to insufficient weathering; use maturity correction coefficients. Identifying "stable accumulation layers" and "loose loss layers" reduces misjudgments caused by relying solely on thickness indicators, thereby lowering the error in mineralization probability calculations to within 10%.

[0096] In general, the index data used in this invention can be obtained through routine field geological surveys and laboratory analysis without the need for complex equipment; the correction coefficient is calculated using a piecewise function, and exploration personnel can quickly complete the mineralization probability assessment of a single area using simple tools, which is especially suitable for areas with many geochemical interferences and limited field conditions.

[0097] The above-disclosed embodiments are merely a few specific examples of the present invention. However, the present invention is not limited thereto, and any variations that can be conceived by those skilled in the art should fall within the protection scope of the present invention.

Claims

1. A method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters, characterized in that, Includes the following steps: A geographical region is determined, geological data is collected from the geographical region, and geological samples are taken from the geographical region to collect sample characteristics; the types of geological data include stratigraphic characteristics, geological structural characteristics, lithofacies paleogeographic characteristics, geochemical characteristics, and geophysical characteristics; the sample characteristics include global characteristics and local characteristics; Extract a first set of feature indicators from the geological data to determine the regional classification of the geographical area. The regional classification includes: conventional exploration area, main metallogenic model area and secondary metallogenic model area. Extract a second set of feature indicators from the geological data. Based on the regional classification of the geographical region, the standard mineralization probability of the geographical region is calculated. Among them, the second characteristic index set Represented as: Where i is the feature number, For the i-th feature, Let i be the standard value of the i-th feature. Let be the importance of the i-th feature, and n be the total number of features; where importance is the degree of importance defined for each feature based on the characteristics of different region classifications, and the higher the value of the importance, the higher the importance; the range of the importance value is unlimited. Calculate the weathering correction factor based on global characteristics. Calculate the maturity correction coefficient based on local characteristics. According to the weathering correction factor and maturity correction coefficient Standard mineralization probability Make corrections to generate the mineralization probability of residual slope anatase. According to the mineralization probability of the residual slope deposit type anatase Determine whether the geographical area is a high-potential target area for colluvial anatase; The global features include the range of weathering crust thickness and the range of clay mineral content ratio, and the weathering correction coefficient. The calculation method is as follows: Where H is the thickness of the weathering crust and C is the clay mineral content; The local features include the proportion of fine-grained material and structural stability; the maturity correction coefficient The calculation method is as follows: Where F represents the proportion of fine-grained matter, For structural stability.

2. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 1, characterized in that, The methods for defining the importance include: If the area is classified as a conventional exploration area, the importance is set as follows: lithofacies paleogeographic features and stratigraphic features are the highest, geochemical features and geological structural features are slightly lower, and geophysical features are the lowest; the importance of the features of the conventional exploration area is the baseline configuration. If the region is classified as a major metallogenic model area, the importance of lithofacies paleogeographic features, stratigraphic features, and geochemical features shall be increased based on the baseline configuration. If the region is classified as a secondary mineralization model area, the importance of geological structural features, stratigraphic features, and geophysical features is increased based on the baseline configuration.

3. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 1, characterized in that, The stratigraphic features include whether it is a basalt distribution area and the structure of the overlying strata. The geological structural features specifically include the density of fault zones and the dip angle of fold limbs. The lithofacies paleogeographic features specifically include the density of karst depressions, the thickness of residual slope deposits, the distance to adjacent deposits, and the slope. The geochemical features include TiO2 content, Al2O3 / TiO2 and Fe2O3 / TiO2. The geophysical features include resistivity and the density characteristics Δg of residual slope deposits.

4. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 3, characterized in that, The first set of characteristic indicators includes: basalt distribution area, overlying strata structure, fault zone density, karst depression density, residual slope layer thickness, and TiO2 content; The second characteristic index includes: basalt distribution area, overlying strata structure, fault zone density, dip angle of fold limbs, karst depression density, thickness of residual and colluvial layers, distance from adjacent mineralization sites, slope, TiO2 content, and Al2O3 / TiO2 ratio. 2、 Fe2O3 / TiO2, resistivity and density characteristics Δg.

5. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 1, characterized in that, The standard mineralization probability of the geographical region is calculated. Includes the following steps: Extract the measured values ​​of features from the second set of feature indicators in the geographic region. , the measured value To convert to a standardized value, the calculation method is as follows: ,in, Measured value The corresponding standardized value; Based on the importance, calculate the weights corresponding to each feature. ; According to the calculated weights and standard value Calculate the standard mineralization probability of a geographical region under ideal conditions. The estimation method is as follows: ,in, For the standardized score of the i-th indicator, Let N be the weight of the i-th indicator, and N be the total number of features.

6. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 5, characterized in that, The weight The calculation method is as follows: ,in, For the first Importance of a feature This represents the minimum importance value. For the first The weights of the features, where m is the number of importance grading intervals. Let N be the feature index, and N be the total number of features, with N items. The total value is 1.

7. The method for estimating the mineralization probability of residual slope deposits of anatase based on multi-source parameters according to claim 1, characterized in that, The standard mineralization probability The method for making the correction is as follows: ,in, The mineralization probability of residual slope anatase is 0. ; If the mineralization probability of the residual slope deposit type anatase is... If the value exceeds a specified threshold, the geographical area is determined to be a high-potential target area.

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