CN-121998500-A - Metal resource assessment method and system based on geological survey

CN121998500ACN 121998500 ACN121998500 ACN 121998500ACN-121998500-A

Abstract

The invention belongs to the technical field of mineral resource evaluation, and provides a metal resource evaluation method and system based on geological investigation, comprising the steps of acquiring and fusing multisource geological investigation data of a target area, and constructing a three-dimensional geological model and a priori knowledge base; the invention improves the accuracy and reliability of metal resource assessment by establishing and running a numerical simulation model describing the ore formation process of a target area based on a three-dimensional geological model and a priori knowledge base, outputting an ore formation parameter field, calibrating the ore formation parameter field and the numerical simulation model by utilizing multi-source geological investigation data to generate an assimilated geological process model, generating a three-dimensional resource model based on a geological structure represented by the geological process model and combining the multi-source geological investigation data, calculating to obtain the probability distribution of resource quantity, dynamically determining the sampling space of economic parameters according to the probability distribution of the resource quantity, and carrying out cash flow simulation on the three-dimensional resource model by utilizing the sampling space.

Inventors

YANG HONGWEI
LIU WEIJUN
TIAN HUANHUAN
TIAN XIANDONG

Assignees

四川省金属地质调查研究所

Dates

Publication Date: 20260508
Application Date: 20260123

Claims (8)

1. A metal resource assessment method based on geological survey, characterized in that the assessment method comprises the following steps: acquiring and fusing multisource geological survey data of a target area, and constructing a three-dimensional geological model and a priori knowledge base; Based on the three-dimensional geological model and the priori knowledge base, a numerical simulation model describing the ore forming process of the target area is established and operated, and an ore forming parameter field is output; Calibrating the mineralisation parameter field and the numerical simulation model by using the multi-source geological survey data to generate an assimilated geological process model; Based on the geological structure represented by the geological process model, combining the multi-source geological survey data, generating a three-dimensional resource model by applying a geostatistical method, and calculating to obtain probability distribution of resource quantity; and dynamically determining a sampling space of the economic parameter according to the probability distribution of the resource quantity, carrying out cash flow simulation on the three-dimensional resource model by utilizing the sampling space, and finally outputting the probability distribution of the economic evaluation index.
2. The metal resource assessment method based on geological survey of claim 1, wherein the acquiring and fusing the multi-source geological survey data of the target area, constructing a three-dimensional geological model and a priori knowledge base, comprises: acquiring multi-source geological survey data of a target area and preprocessing the multi-source geological survey data to form a fusion data set; inputting the fusion data set into a pre-trained feature extraction network, and outputting a comprehensive feature field; generating the priori knowledge base through a knowledge graph construction method based on geological priori rules and the comprehensive feature field; And carrying out three-dimensional geological interpretation on the comprehensive feature field based on geological constraint conditions defined in the priori knowledge base, and constructing a three-dimensional geological model of the target area.
3. The metal resource assessment method based on geological survey of claim 2, wherein the establishing and operating a numerical simulation model describing the mineralization process of the target area based on the three-dimensional geological model and a priori knowledge base, outputting an mineralization parameter field, comprises: based on the geometric structure and physical parameters of the three-dimensional geological model, combining the mechanism constraint conditions defined in the priori knowledge base to construct an initial numerical simulation model for describing the thermal-flow-force-chemical coupling mineralization process; extracting target observation data associated with an ore forming process from the multi-source geological survey data, comparing the target observation data with a preliminary output result of the initial numerical simulation model, and performing iterative optimization on parameters of the initial numerical simulation model according to the comparison result to generate a calibrated numerical simulation model; and running the numerical simulation model, dynamically simulating an ore forming process, and outputting an ore forming parameter field, wherein the ore forming parameter field comprises at least one of a temperature field, a pressure field, a chemical substance concentration field and a fluid flow velocity field.
4. A metal resource assessment method based on geological survey according to claim 3, wherein said calibrating said mineralisation parameter field and said numerical simulation model using said multi-source geological survey data to generate an assimilated geological process model comprises: Operating the numerical simulation model based on simulation parameters, generating corresponding simulation ore-forming parameter fields, and extracting simulation observation data from the simulation ore-forming parameter fields; calculating the mismatch degree between the target observation data and the simulation observation data, and updating the simulation parameters by using the mismatch degree; And iteratively executing the generation of the simulated observation data and the updating of the simulation parameters until the mismatch degree is smaller than a preset threshold value, and defining the corresponding simulation parameters and the optimized numerical simulation model as the geological process model.
5. The method of claim 4, wherein the generating a three-dimensional resource model by combining the multi-source geological survey data based on the geological structure characterized by the geological process model and applying a geostatistical method, and calculating a probability distribution of the resource amount comprises: extracting a structural model representing three-dimensional geological structure and lithofacies distribution in a final state after an ore period from the geological process model; Taking the structural model as a training image required by a geostatistical method, and defining structural constraint and soft data constraint in a three-dimensional space by combining metal precipitation data in the ore-forming parameter field; Taking sample test grade data in the multi-source geological survey data as hard data, and under the structural constraint and the soft data constraint, randomly simulating by using a geostatistical method to generate a plurality of three-dimensional grade models with equal probability; and defining the set of all the three-dimensional grade models as the three-dimensional resource models, counting the metal resource quantity in each model, and calculating to obtain the probability distribution of the resource quantity.
6. The metal resource assessment method based on geological survey of claim 5, wherein the step of dynamically determining the sampling space of the economic parameter according to the probability distribution of the resource quantity, and performing cash flow simulation on the three-dimensional resource model by using the sampling space, and finally outputting the probability distribution of the economic assessment index comprises the following steps: determining a probability distribution of at least one economic parameter by a predefined economic-resource coupling rule according to the probability distribution of the resource quantity; randomly sampling based on the probability distribution of the economic parameters to generate an economic parameter scene set, and carrying out full life cycle cash flow simulation by combining with each three-dimensional grade model in the defined three-dimensional resource model; And summarizing all obtained cash flow simulation results, and calculating and outputting probability distribution of the economic evaluation index.
7. The metal resource assessment method based on geological survey of claim 6, wherein the calculating and outputting the probability distribution of the economic assessment index by summarizing all cash flow simulation results obtained comprises: Based on the coupling simulation results of each three-dimensional grade model and the economic parameter scene, carrying out probability statistical analysis, wherein the probability statistical analysis is to fit probability density distribution of a net present value by adopting a kernel density estimation method, and calculate experience distribution of internal yield; Calculating at least one risk index of risk value, conditional risk value and profit-loss balance probability based on the probability density distribution and experience distribution; The final output includes a structured probability report of the probability density distribution, the empirical distribution, and the risk indicator.
8. A metal resource assessment system based on geological survey for performing a metal resource assessment method based on geological survey according to any one of claims 1 to 7, characterized in that the assessment system comprises: the fusion modeling module is used for acquiring and fusing multi-source geological investigation data of the target area and constructing a three-dimensional geological model and a priori knowledge base; the ore forming simulation module is used for establishing and operating a numerical simulation model describing the ore forming process of the target area based on the three-dimensional geological model and the priori knowledge base, and outputting an ore forming parameter field; The calibration assimilation module is used for calibrating the mineralization parameter field and the numerical simulation model by utilizing the multi-source geological survey data to generate an assimilated geological process model; The resource distribution calculation module is used for generating a three-dimensional resource model by combining the multi-source geological survey data and applying a geostatistical method based on the geological structure represented by the geological process model, and calculating to obtain the probability distribution of the resource quantity; And the economic evaluation module is used for dynamically determining a sampling space of the economic parameter according to the probability distribution of the resource quantity, carrying out cash flow simulation on the three-dimensional resource model by utilizing the sampling space, and finally outputting the probability distribution of the economic evaluation index.

Description

Metal resource assessment method and system based on geological survey Technical Field The invention relates to the technical field of mineral resource evaluation, in particular to a metal resource evaluation method and system based on geological survey. Background The mineral resource assessment is a core link of mineral exploration and development decision, and the accuracy of the result directly relates to investment risk, mine design and resource utilization efficiency. Traditional metal resource assessment methods rely primarily on geostatistics (e.g., kriging) to interpolate and extrapolate limited survey engineering data (e.g., boreholes) to estimate the amount and grade of resources. Such methods are essentially static statistical models based on spatial correlation, with the following significant limitations: The traditional metal resource evaluation method generally regards ore bodies as static entities, the evaluation results of the method depend on the existing investigation engineering excessively, prediction is inaccurate for areas or deep parts with low investigation degree, and the method is limited in providing a determined value or simple sensitivity analysis, and is difficult to systematically quantify full-chain uncertainty from geological cognition to economic value, so that geological risks cannot be effectively conducted to economic evaluation, and meanwhile, geological modeling, resource evaluation and economic evaluation links are mutually disjointed, and economic parameters cannot be dynamically associated with the uncertainty of a geological model. Therefore, it is necessary to provide a metal resource evaluation method and system based on geological survey to solve the above technical problems. Disclosure of Invention In order to solve the technical problems, the invention provides a metal resource assessment method and a metal resource assessment system based on geological investigation, which are used for realizing the improvement from static description to dynamic prediction and from deterministic estimation to probabilistic risk quantification in metal resource assessment and providing more scientific and reliable technical support for mineral resource exploration deployment, asset estimation and investment decision by constructing an assessment system of geological process mechanism driving, multi-source data and knowledge fusion and uncertainty quantitative conduction. The invention provides a metal resource evaluation method based on geological investigation, which comprises the following steps: acquiring and fusing multisource geological survey data of a target area, and constructing a three-dimensional geological model and a priori knowledge base; Based on the three-dimensional geological model and the priori knowledge base, a numerical simulation model describing the ore forming process of the target area is established and operated, and an ore forming parameter field is output; Calibrating the mineralisation parameter field and the numerical simulation model by using the multi-source geological survey data to generate an assimilated geological process model; Based on the geological structure represented by the geological process model, combining the multi-source geological survey data, generating a three-dimensional resource model by applying a geostatistical method, and calculating to obtain probability distribution of resource quantity; and dynamically determining a sampling space of the economic parameter according to the probability distribution of the resource quantity, carrying out cash flow simulation on the three-dimensional resource model by utilizing the sampling space, and finally outputting the probability distribution of the economic evaluation index. Preferably, the acquiring and fusing the multi-source geological survey data of the target area to construct a three-dimensional geological model and a priori knowledge base includes: acquiring multi-source geological survey data of a target area and preprocessing the multi-source geological survey data to form a fusion data set; inputting the fusion data set into a pre-trained feature extraction network, and outputting a comprehensive feature field; generating the priori knowledge base through a knowledge graph construction method based on geological priori rules and the comprehensive feature field; And carrying out three-dimensional geological interpretation on the comprehensive feature field based on geological constraint conditions defined in the priori knowledge base, and constructing a three-dimensional geological model of the target area. Preferably, the establishing and operating a numerical simulation model describing the ore forming process of the target area based on the three-dimensional geological model and the priori knowledge base, and outputting an ore forming parameter field, includes: based on the geometric structure and physical parameters of the three-dimensional geological model, combinin