CN-122016984-A - Mining method and system for representing water rock reaction degree by fusing carbon-oxygen isotope gradient

CN122016984ACN 122016984 ACN122016984 ACN 122016984ACN-122016984-A

Abstract

The invention discloses a mining method and a mining system for representing water rock reaction degree by fusing carbon-oxygen isotope gradient, and belongs to the technical field of hot liquid ore deposit early investigation under construction control. The method comprises the steps of determining a structural fracture mapping unit of a target area, identifying and mapping by means of an intelligent sensing system, collecting a filling cement sample by means of manual correction to obtain delta 13 C and delta 18 O values, determining an end member formed by raw rock and a fluid isotope, constructing a water rock reaction degree quantitative index WRI, spatially sleeving the WRI and the structural fracture unit to obtain water rock reaction degree gradient spatial expression and abnormal grading, and defining a hydrothermal activity center by combining geological background and alteration characteristics. According to the invention, the delta 13 C and delta 18 O values of the filling cement are quantitatively converted into WRI, a mining method and a mining system for representing the water rock reaction degree by fusing carbon-oxygen isotope gradient are constructed, the high-precision positioning of a hydrothermal activity center is realized, the mining prediction capability of hidden ores is remarkably improved, and the mining method and the mining system are suitable for the early investigation of a hydrothermal deposit under construction control.

Inventors

ZHOU JIAXI
REN TAO
ZHAO DONG
JIN ZHONGGUO

Assignees

云南大学

Dates

Publication Date: 20260512
Application Date: 20260123

Claims (8)

1. The mining method for representing the reaction degree of water rock by fusing carbon-oxygen isotope gradient is characterized by comprising the following steps of: S1, in a hot fluid mineral deposit exploration area under construction control, carrying out intelligent sensor identification on the type of construction rock, the degree of construction breaking and the development characteristics of filling cement in a construction fracture zone based on field geological survey and drilling core observation, dividing the construction fracture filling units with different scales according to the breaking scale, the construction rock combination, the degree of breaking and the filling cement characteristics, and establishing corresponding construction fracture attribute parameter sets; S2, under the constraint of the structural fracture filling unit, completing the identification and filling of a required intelligent sensor system for the structural fracture with a specific scale, assisting in the geological survey correction of a path by a manual traversing method, performing systematic sampling on the filling cement in the structural fracture filling, describing macroscopic information of the color-component of the filling cement, and recording the spatial coordinates of sampling points and the attribute of the structural fracture filling unit of the sampling points; s3, a carbon-oxygen isotope composition analysis module of the filling cement is used for preprocessing and preparing samples of the collected filling cement samples of the structural fracture, analyzing the carbon-oxygen isotope composition of the samples, and obtaining actual measurement delta 13C and delta 1 8 O values corresponding to all sample points; S4, in delta 13C and delta 1 8 O diagrams, taking the carbon-oxygen isotope composition of the non-changed or weakly-changed carbonate rock as a background end member, taking the fluid carbon-oxygen isotope composition determined by numerical simulation or inversion as a hydrothermal end member, constructing a water-rock reaction degree index WRI quantization model based on the actual measurement value of the carbon-oxygen isotope of the filling cement, and calculating the water-rock reaction degree index WRI corresponding to each sampling point; s5, a water rock reaction degree gradient abnormal spatial distribution characteristic analysis module is used for associating the WRI with the spatial coordinates of the sampling points and the structural fracture mapping units to generate a spatial distribution diagram of a water rock reaction degree index, identifying strong, medium and weak water rock reaction degree gradient abnormal areas and analyzing the spatial coupling relation between the strong, medium and weak water rock reaction degree gradient abnormal areas and the structure; s6, a hydrothermal activity center delineating and prospecting target area optimizing module, namely delineating the hydrothermal activity center according to the spatial distribution characteristics of gradient abnormality of water rock reaction degree and the nesting relation of the spatial distribution characteristics and the structural fracture mapping achievements, and combining geological background (stratum-lithology) and alteration characteristics, wherein the artificial intelligence optimizes the prospecting target area.
2. The method for prospecting a gradient characterization water rock reaction degree of a fused carbon oxygen isotope according to claim 1, wherein in S1, the dividing of the structural fracture map filling unit specifically comprises: 1) The structural rock types include broken rock, broken porphyry, broken granites, crushed fine rock, breccia, broom corn, flaking and fault mud; 2) The size of the crushing belt is divided into a primary crushing belt with the width of more than or equal to 0.5m, a secondary crushing belt with the width of 0.1-0.5 m and a tertiary crushing belt with the width of less than or equal to 0.1 m; 3) Constructing the difference of crack filling cements, and dividing siliceous cement bond, carbonate bond and argillaceous bond types; 4) The cementing degree is classified into strong cementing, medium cementing and weak cementing.
3. The method for prospecting a water rock reaction degree by fusing carbon oxygen isotope gradient according to claim 1, wherein in the step S2, the sampling points need to cover known mineralization centers, mineralization halos and peripheral non-mineralization display areas in the process of collecting the filling cement samples, so as to obtain a complete isotope geochemical space change sequence.
4. The method for prospecting a gradient characterization water rock reaction degree of a fused carbon oxygen isotope according to claim 1, wherein in S4, the expression of the WRI quantization formula of the water rock reaction degree index is: Wherein, the The index of the water-rock reaction degree of the ith sampling point is in a value range of 0-1, delta 13 C cem, i and delta 18 O cem, i are measured values of delta 13C and delta 1 8 O of filling cement of the ith sampling point, delta 13 C b and delta 13 O b are statistical representative values of non-changed/weakly-changed surrounding rocks delta 13C and delta 1 8 O of a background end member, delta 13 C f and delta 13 O f are inversion determination values of initial hydrothermal end members delta 13C and delta 1 8 O, and weight coefficients of contribution of carbon and oxygen isotopes to water-rock reaction are respectively 0.4 and 0.6.
5. The mining method for representing the reaction degree of water rock by fusing carbon oxygen isotope gradients is characterized in that in S5, the gradient change of the reaction degree of the water rock is divided into steps according to WRI values, wherein WRI is more than or equal to 0.7 and is a strong reaction abnormal region, WRI is more than or equal to 0.4 and is less than or equal to 0.7 and is a medium reaction abnormal region, and WRI is less than or equal to 0.4 and is a weak reaction abnormal region.
6. The mining method for representing the water rock reaction degree by fusing carbon oxygen isotope gradients according to claim 1 is characterized in that in the S6, the optimization criteria of the hydrothermal activity center is that a strong reaction abnormal region of the water rock reaction degree and a structure nesting region are marked, a reaction abnormal region in the water rock reaction degree is marked, a weak reaction abnormal region of the water rock reaction degree is marked finally, and artificial intelligent classification optimization is carried out on the mining target region by combining geological background and knowledge map alteration characteristics of stratum-lithology-structure.
7. The mining method for representing the water rock reaction degree by fusing carbon oxygen isotope gradients, which is characterized by comprising the following steps of dividing a mining target area according to the classification standard of artificial intelligence classification optimization, wherein the A-level target area is a strong reaction abnormal area and a main structure-mineral layer-strong alteration nesting area, the B-level target area is a medium reaction abnormal area and a secondary structure-favorable lithology-weak alteration nesting area, and the C-level target area is a medium reaction abnormal area and a weak alteration nesting area.
8. A system for prospecting a water rock reaction degree by fusing a carbon-oxygen isotope gradient, which is characterized by being used for running the prospecting method for prospecting a water rock reaction degree by fusing a carbon-oxygen isotope gradient according to any one of claims 1 to 7.

Description

Mining method and system for representing water rock reaction degree by fusing carbon-oxygen isotope gradient Technical Field The invention relates to the technical field of hydrothermal deposit early investigation under construction control, in particular to a mining method and a mining system for representing water rock reaction degree by fusing carbon-oxygen isotope gradient. Background The accurate positioning prediction of the hot liquid ore deposit and the hidden ore body at the deep side is a great technical bottleneck in the current mineral exploration field. In the process of prospecting prediction, the traditional prospecting method has the inherent defects of low intelligent degree, insufficient detection depth, strong multi-resolution of abnormal information and the like for hidden ore bodies with deep burial or weak mineralization information. The prior art schemes are often prone to applying single indices in isolation, such as inverting the historic structural stress field by the structural rock deformation structure alone, or judging the fluid source by isotopes alone, or semi-quantitatively evaluating the mineralization intensity based on the trace element content of the structural rock alone. Although the method has a certain value, the multidimensional ore formation and the ore finding information recorded by the structural fracture filling cementing agent cannot be systematically obtained, so that the key judgment on the migration path of the ore forming fluid, the spatial gradient of the water rock reaction degree and the position of the mineralization precipitation center lacks a direct and mutually-verified evidence chain, and the ore finding prediction result nebulous is lost. Practice has shown that the crushed zone of the ore formation serves as a core site for hydrothermal migration and ore precipitation, and the activity history of fluids is completely recorded by the crushed rocks, crushed porphyry, crushed granites, crushed fine rocks and breccia, broom corn rocks, lamellar, fault mud and filling cement in the crushed zone. The intelligent sensing system is used for identifying and mapping widely developed structural cracks in the hydrothermal type ore deposit under structural control and filling cement carbon-oxygen isotope mapping, so that understanding of the reaction process of fluid sources and water rock can be deepened, spatial change of fluid action intensity can be effectively revealed, and dominant channels of fluid migration can be traced, and therefore the intelligent sensing system is used for delineating a hydrothermal activity center, and potential mineralization enrichment sections are optimized. However, how to deeply couple the spatial gradient of the water rock reaction degree disclosed by carbon-oxygen isotope mapping with the direct mineralization intensity to construct a quantitative method system from fluid tracing to target area prediction is still a technical problem to be solved. Disclosure of Invention In order to solve the problems, the invention provides a mining method and a system for representing the water rock reaction degree by fusing carbon-oxygen isotope gradients, which realize quantitative expression of the activity intensity of a mineral-forming fluid and the spatial gradient thereof by constructing end member inversion and quantitative index construction of the water rock reaction degree under the constraint of a crack filling unit so as to reveal the complete spatial gradient change rule from a fluid channel to a mineralization center, provide a reliable scheme for solving the difficult problem of mining by constructing a controlled hot-liquid deposit and the deep periphery thereof, and realize mineral geological investigation service developed by using high technology. In order to achieve the above purpose, the invention provides a method and a system for searching ores by using gradient characterization of water rock reaction degree of a fused carbon-oxygen isotope, which specifically comprise the following steps: S1, fine division and structural attribute parameterization of a structural fracture mapping unit, namely taking a hydrothermal mining area as a research selection area, identifying lithology types, structural breaking degrees, cement development characteristics and space output states of structural rocks in the research area through combination of field geological survey and indoor core observation based on geological background information of the research area, dividing the structural fracture mapping units of different levels, defining geological boundaries and core geological attribute knowledge maps of the units, and establishing a computable structural attribute parameter set for each structural mapping unit. The structural attribute parameter set at least comprises fracture level, structural rock type, fracture level, filling cement filling rate, structural band width and the like, and is used for structural constraint