CN115078520A - Mineral geochemistry-based porphyry system mineralization evaluation method - Google Patents
Mineral geochemistry-based porphyry system mineralization evaluation method Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/62—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating the ionisation of gases, e.g. aerosols; by investigating electric discharges, e.g. emission of cathode
- G01N27/64—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating the ionisation of gases, e.g. aerosols; by investigating electric discharges, e.g. emission of cathode using wave or particle radiation to ionise a gas, e.g. in an ionisation chamber
Abstract
The invention discloses a porphyry system mineralizing evaluation method based on mineral geochemistry, which indicates the mineralization potential of a rock mass by using the total rock geochemistry and the mineral chemical parameters. The method specifically comprises the following steps: the method is applied to the field of porphyry system exploration, has the advantages of short testing time, low cost, convenience and quickness, can effectively distinguish the mineralized rock mass from the lean mineralized rock mass in the porphyry system and shorten the mineral exploration period, is a novel indispensable exploration means and method, and has important popularization value.
Description
Technical Field
The invention belongs to the field of mineral exploration and evaluation, and particularly relates to a method for evaluating the mineralocorticity of a porphyry system based on mineral geochemistry.
Background
Porphyry deposits are characterized by typical large tonnage, low grade and large scale hydrothermal alteration and enrichment of metal sulfides. The formation of large porphyry deposits requires that the magma have high oxygen fugacity, water content and volatile elements such as S, Cl. The magma water has important control function on the migration of metal elements and the precipitation of ore-containing hot liquid, and the deep metal is released from a sulfide phase by high oxygen fugacity and is brought to a shallow ore-forming system. Therefore, finding out the magma water and oxygen fugacity characteristics of rock mass is key to the determination of the mineralised rock mass. In the process of forming the porphyry deposit, high water content and oxygen fugacity of the rock pulp can be recorded in the processes of rock pulp formation and mineral separation and crystallization, so that the rock mass and lean rock mass can be effectively distinguished by using the geochemical and mineralogical chemical components (zircon and amphibole) of the whole rock.
The traditional method for searching the region with porphyry mineralization potential needs to carry out a large proportion of geochemical survey, geophysical survey, regional geological survey and systematic test and comprehensive research, and has the following defects: the early period of the exploration evaluation is long, the cost is high, the accuracy is low, and the urgent need of rapid exploration evaluation cannot be met.
Aiming at the problems, the invention provides a quantitative index for rapidly identifying the ore-forming rock mass in the porphyry ore-forming system through a large amount of experimental research and ore-finding practice, solves the technical problem of searching porphyry ore deposit under large scale, and realizes the organic combination of mineral geochemistry and mineral-containing evaluation.
Disclosure of Invention
The invention aims to provide a method for evaluating the mineralization of a porphyry system based on mineral geochemistry, which has the advantages of short test time, low cost, convenience and rapidness, can quickly evaluate the mineralization potential of the porphyry under a large scale, effectively distinguishes the mineralization rock mass and lean rock mass in the porphyry system, and shortens the mineral exploration period.
In order to solve the technical problem, the invention adopts the following technical scheme:
the method for evaluating the mineralization of the porphyry system based on the mineral geochemistry comprises the following steps:
1) the target area of the ore is determined according to geological, geophysical prospecting, chemical prospecting and remote sensing data in the collecting area of the system;
2) the system collects all the acidic rock masses in the target area and describes the lithology, alteration and mineralization characteristics of each type of sample;
3) selecting a sample without alteration or weak alteration, and carrying out chemical analysis to obtain the total rock main trace element SiO 2 The contents of Sr, Y, V and Sc are represented as c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc); the contents of trace elements Ce, Nd, Y, Eu, Sm and Gd of zircon are marked as c (Ce), c (Nd), c (Y'), c (Eu), c (Sm) and c (Gd); the temperature T of the amphibole and the oxygen fugacity Delta FMQ;
4) taking F1-F4 as discrimination factors to discriminate the mineralized rock mass from the lean rock mass, specifically:
discrimination factor F1: f1 ═ 0.925 × c (SiO 2) 2 ) +113.75 (equation 1);
discrimination factor F2: f2 ═ 0.355 × c (SiO) 2 ) +34.15 (equation 2);
discrimination factor F3: f3 ═ 41.7 ═ c (ce)/c (nd)/c (Y') +4.707 (formula 3);
discrimination factor F4: f4 ═ 0.0025 ═ c (t) +3.8 (formula 4);
the total rock main trace element SiO obtained in the step 3) 2 Substituting the content into the above formula 1, calculating the discrimination factor F1 when c (Sr)/c (Y)>F1, judging the rock mass to be an ore-forming rock mass, otherwise, judging the rock mass to be a lean rock mass;
the total rock main trace element SiO obtained in the step 3) 2 Substituting the content into the above formula 2, calculating the discrimination factor F2 when c (V)/c (Sc)>F2, judging the rock mass to be an ore-forming rock mass, otherwise, judging the rock mass to be a lean rock mass;
substituting the ratio of zircon (c (Ce)/c (Nd))/c (Y ') obtained in step 3 into the above formula 3, calculating the discrimination factor F3 when 10000 (c (Eu)/c (Eu))/c (Y'))>F3, judging to be an ore-forming rock mass, otherwise, judging to be a lean rock mass, wherein
Substituting the amphibole temperature T obtained in the step 3) into the formula 4, and calculating a discrimination factor F4, wherein when the delta FMQ is greater than F4, the amphibole is discriminated as an ore-forming rock mass, and otherwise, the amphibole is discriminated as a lean rock mass;
when the four discrimination factors are all discriminated to obtain an ore-forming rock mass, the ore-forming rock mass is determined; and when at least one discrimination factor is used for discriminating the lean rock mass, the lean rock mass is determined.
When the individual sample is equal to a certain discrimination factor, comprehensive judgment and error correction can be carried out by referring to the results of other three discrimination factors, and under the condition of ensuring that the sample amount is sufficient, the discrimination of the ore-forming rock mass and the lean rock mass obtained on the basis of the statistical rule is credible and accurate.
According to the scheme, in the step 3), a sample without change or weak change is selected, and the specific steps of chemical analysis are as follows: and grinding the collected sample into powder, and grinding the powder into a probe sheet and a laser in-situ target, wherein the powder sample is used for testing main and trace components of the whole rock, and the probe sheet and the laser in-situ target are used for testing main and trace components of single mineral.
Preferably, the monominerals are zircon and amphibole.
More preferably, the sample is ground into powder, ground into a probe sheet and a laser in-situ target; wherein: the rock powder is used for analyzing the main and trace components of the whole rock to obtain the main and trace elements SiO of the whole rock 2 Sr, Y, V, Sc content; selecting hornblende from the sample, analyzing the components of the hornblende, determining the chemical components and types of the hornblende, and obtaining the temperature and oxygen loss of the hornblende, wherein the temperature of the hornblende is T (° C) (-151.487 × Si) +2041, and Si ═ Si + (Al) IV /15)-(2×Ti IV )-(Al VI /2)-(Ti VI /1.8)+(Fe 3+ /9)+(Fe 2+ /3.3)+(Mg/26)+( B Ca/5)+( B Na/1.3)-( A Na/15)+((1- A Na- A K)/2.3)，Al IV And Ti IV Is the atomic number of Al and Ti in tetrahedron, Al VI And Ti VI Is the atomic number of Al and Ti in an octahedron, A na is the Na content of the A site, A k is the content of K at the A site, B na is the Na content of the B site, B ca is the Ca content of the B site, and the oxygen fugacity is represented by log fO 2 Obtained at-24441.9/t (k) +8.290(± 0.167); and (3) selecting a representative mineral (zircon) to perform laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in-situ micro-area element analysis on the sample ground into the laser in-situ target, and obtaining the contents of trace elements Ce, Nd, Y, Eu, Sm and Gd of the zircon.
According to the above scheme, in the step 3), for a single mineral, in the analysis process, a small-particle mineral inclusion or inherited mineral is generally encountered, and in order to obtain more accurate data, the data needs to be preprocessed and interpreted, which is divided into the following three steps: firstly, importing the obtained data in the original csv format into ICPMSDataCal software, and eliminating the data which are hit to an inclusion or are hit by minerals according to the abnormality of an element integration curve of each analysis test point; secondly, regarding the eliminated data, the mixed dyeing data are further eliminated by using the following standards: la > 1.5ppm is regarded as mixed-dyeing apatite, Fe>5500ppm reacted the mixed dyeing of Fe oxide, Ti > 60ppm regarded as mixed dyeing of Ti oxide, Ba>10ppm was taken as a mixed dyeing of the fluid inclusions; (iii) use 206 Pb/ 238 U isotope age values exclude interference from inherited minerals, i.e. when data points are obtained 206 Pb/ 238 Weighted average of U isotope ages less than or greater than sample 206 Pb/ 238 At the age of the U isotope, the data point is considered invalid data; after the data are processed by the three steps, the rest data can be used for the next mining character evaluation.
According to the scheme, in the step 4), the steps of obtaining the discrimination factors F1-F4 are as follows:
1) respectively selecting more than 60 ore-forming rock mass samples without or with weak alteration and more than 60 lean rock mass samples;
2) carrying out chemical analysis on the sample selected in the step 1) to obtain the total rock main trace element SiO 2 The contents of Sr, Y, V and Sc are represented as c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc); the contents of trace elements Ce, Nd, Y, Eu, Sm and Gd of zircon are marked as c (Ce), c (Nd), c (Y'), c (Eu), c (Sm) and c (Gd); the temperature T of the amphibole and the oxygen fugacity Delta FMQ;
3) drawing a scatter diagram based on the data of a large number of mining areas developed ore-forming rock masses and lean rock masses obtained in the step 2), fitting a straight line according to a plurality of data points near the boundary point of the ore-forming rock masses and the lean rock masses, and solving the equation of the straight line as a discrimination factor, wherein the equation specifically comprises the following steps:
obtaining discrimination factors F1-F4 through fitting and calculation, specifically:
computing a discriminant factor F1
C (SiO) is used as the main trace element of the whole rock obtained in the step 2) 2 ) Projecting the diagram by using the abscissa c (Sr)/c (Y) as the ordinate, obtaining and fitting a boundary line between the mineralized rock mass and the lean rock mass according to the projection range, and calculating by using the following formula to obtain a discrimination factor F1: f1 ═ 0.925 × c (SiO 2) 2 ) +113.75 (equation 1);
② calculating a discrimination factor F2
To the product obtained in step 2)Total major trace elements of rock, with c (SiO) 2 ) C (V)/c (Sc) is used as an abscissa for projection, a boundary line of the mineralized rock mass and the lean rock mass is obtained according to the projection range and is fitted, and a discrimination factor F2 is obtained by utilizing the following formula: f2 ═ 0.355 × c (SiO) 2 ) +34.15 (equation 2);
computing discrimination factor F3
Projecting the zircon microelements obtained in the step 2) by taking (c (Ce)/c (Nd)/c (Y ') as abscissa and 10000 (c) (Eu)/c (Eu))/c (Y') as ordinate, wherein
Obtaining and fitting a boundary line of the mineralized rock mass and the lean rock mass according to the projection range, and calculating by using the following formula to obtain a discrimination factor F3: f3 ═ 41.7 ═ c (ce)/c (nd)/c (Y') +4.707 (formula 3);
fourthly, calculating a discrimination factor F4
Calculating the formation temperature and oxygen fugacity of the hornblende component obtained in the step 2), carrying out projection by taking T (temperature) as a horizontal ordinate and Delta FMQ (oxygen fugacity) as a vertical coordinate, obtaining a boundary line between an ore-forming rock mass and a lean rock mass according to the projection range, fitting, and calculating by using the following formula to obtain a discrimination factor F4: f4 ═ 0.0025 × T +3.8 (formula 4).
Preferably, in the step 2), for a single mineral, during the analysis process, a small-particle mineral inclusion or inherited mineral is generally encountered, and in order to obtain more accurate data, the data needs to be preprocessed and interpreted, which is divided into the following three steps: firstly, importing the obtained data in the original csv format into ICPMSDataCal software, and eliminating the data which are hit to an inclusion or are hit by minerals according to the abnormality of an element integration curve of each analysis test point; secondly, regarding the eliminated data, further eliminating mixed dyeing data by using the following standards: la > 1.5ppm is regarded as mixed-dyeing apatite, Fe>5500ppm reacted the mixed dyeing of Fe oxide, Ti > 60ppm regarded as mixed dyeing of Ti oxide, Ba>10ppm was taken as a mixed dyeing of the fluid inclusions; (iii) use 206 Pb/ 238 U isotope age values exclude interference from inherited minerals, i.e. when data points are obtained 206 Pb/ 238 Weighted average of U isotope ages less than or greater than sample 206 Pb/ 238 At the age of the U isotope, the data point is considered invalid data; after the data are processed by the three steps, the rest data can be used for the next mining character evaluation.
The invention provides a novel method for rapidly evaluating the mineralization potential of regional porphyry under a large scale, which utilizes the geochemistry and mineralogical chemical parameters of the whole rock to indicate the mineralization potential of a rock mass. The principle of obtaining the discrimination factors F1-F4 is as follows: for the porphyry deposit, the key to the mineralization is the high oxygen fugacity and water bearing property of the magma, for example in the case of H-rich ore deposits 2 Magma system of O (>6％H 2 O), first crystallizing amphibole, then plagioclase and finally magnetite, resulting in increased Sr and V elements in the residual melt and near uniform Eu/Eu values in the evolving aqueous melt due to the inhibition of early plagioclase and magnetite crystallization; the crystallization of amphibole leads to the reduction of Sc element and Y element, and finally leads to the rock mass with mineralization potential to have the characteristics of high whole rock c (Sr)/c (Y) and c (V)/c (Sc) ratio, high zircon 10000 (c) (Eu)/c (Eu))/c (Y '), (c (Ce)/c (Nd))/c (Y')) ratio and high amphibole oxygen escape degree. According to the characteristics, a scatter diagram is drawn based on data of a large number of mining areas developing diagenetic rocks and lean rocks, a straight line is fitted according to a plurality of data points near a boundary point of the diagenetic rocks and the lean rocks, an equation of the straight line is obtained as a discrimination factor, and 4 discrimination factors F1-F4 are obtained.
Although the relevant parameters of the discrimination factor may have certain errors, under the premise of comprehensively considering the mineralization characteristics of the porphyry deposit (the chemical properties of the mineralized rock mass and the lean rock mass of different porphyry deposits have no significant change), and under the condition of simultaneously predicting large sample data points (data points >10), based on the statistical law, the discrimination factor provided by the invention can limit the range of the lean rock mass and the mineralized rock mass, and can meet the rapid evaluation of the mineralization of the development rock mass in the regional scale.
The invention has the following beneficial effects:
the invention provides a method for evaluating the mineralization of a porphyry system based on mineral geochemistry, which is used for quantitatively identifying a discrimination factor of an mineralized rock mass in the porphyry system by utilizing data of whole-rock geochemistry, mineralogy and the like according to the mineralization characteristics of porphyry deposits.
Drawings
FIG. 1 is a scatter diagram and a fitting straight line drawn according to data of an ore-forming rock body and an ore-poor rock body in the embodiment of the invention, wherein (a) and (b) are main trace elements of a whole rock; FIG. (c) shows zircon trace element; FIG. d shows the scintillation thermometer and oxygen fugacity, and the equations in the graphs of FIGS. a-d correspond to discriminant factors F1-F4, respectively.
Fig. 2 is a technical flow chart for identifying an ore-forming rock mass in a porphyry ore-forming system in the embodiment of the invention.
Detailed Description
The invention is further illustrated by the following specific examples.
Example 1
Obtaining discrimination factors F1-F4, which comprises the following steps:
1) respectively selecting 61 pieces of mineralized rock mass samples and 66 pieces of lean rock mass samples which are not altered or weakly altered;
2) grinding the sample selected in the step 1) into powder, grinding into a probe sheet and laser in-situ target. The rock powder is used for analyzing the main and trace components of the whole rock. And (3) selecting the magma amphibole under a microscope for the sample ground into the probe piece, carrying out electronic probe component analysis, and further determining the chemical components and types of the amphibole. And selecting a representative mineral (zircon) for carrying out laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in-situ micro-area element analysis on the sample ground into the laser in-situ target.
3) For single mineral, in the in-situ LA-ICP-MS analysis process, small-particle mineral inclusion or inherited mineral is generally encountered, and in order to obtain more accurate data, the data needs to be processedThe pretreatment and the interpretation are divided into the following three steps: firstly, importing the obtained data in the original csv format into ICPMSDataCal software, and eliminating the data which are hit to an inclusion or are hit by minerals according to the abnormality of an element integration curve of each analysis test point; secondly, regarding the eliminated data, further eliminating mixed dyeing data by using the following standards: la > 1.5ppm is regarded as mixed-dyeing apatite, Fe>5500ppm reacted the mixed dyeing of Fe oxide, Ti > 60ppm regarded as mixed dyeing of Ti oxide, Ba>10ppm was taken as a mixed dyeing of the fluid inclusions; (iii) use 206 Pb/ 238 U isotope age values exclude interference from inherited minerals, i.e. when data points are obtained 206 Pb/ 238 Weighted average of U isotope ages less than or greater than sample 206 Pb/ 238 At the age of the U isotope, the data point is considered to be invalid data. After the data are processed by the three steps, the rest data can be used for the next mining character evaluation.
4) Processing the data obtained in the step 3) by using Excel to obtain discrimination factors F1-F4. Wherein the amphibole temperature is determined by T (° C) (-151.487 × Si) +2041, and the oxygen fugacity is determined by log fO 2 Obtained at-24441.9/t (k) +8.290(± 0.167). Defining to obtain total rock main trace element SiO 2 The contents of Sr, Y, V and Sc are c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc), and the trace elements Ce, Nd, Y, Eu, Sm and Gd contained in the zircon in the amounts of c (Ce), c (Nd), c (Y'), c (Eu), c (Sm) and c (Gd). The method specifically comprises the following steps:
on the premise of collecting data of a large number of developed mineralised and lean rock masses in a mining area, drawing a scatter diagram shown in figure 1, fitting a plurality of data points near a demarcation point of the mineralised rock mass and the lean rock mass into a straight line, and solving an equation of the straight line as a discrimination factor, wherein:
calculating discrimination factor F1
C (SiO) is used as the main trace element of the whole rock obtained in the step 2) 2 ) Projecting the diagram by using the abscissa c (Sr)/c (Y) as the ordinate, obtaining and fitting a boundary line between the mineralized rock mass and the lean rock mass according to the projection range, and calculating by using the following formula to obtain a discrimination factor F1: f1 ═ 0.925 × c (SiO 2) 2 ) +113.75 (equation 1);
② calculating a discrimination factor F2
C (SiO) is used as the main trace element of the whole rock obtained in the step 2) 2 ) C (V)/c (Sc) is used as an abscissa for projection, a boundary line of the mineralized rock mass and the lean rock mass is obtained according to the projection range and is fitted, and a discrimination factor F2 is obtained by utilizing the following formula: f2 ═ 0.355 × c (SiO) 2 ) +34.15 (equation 2);
computing discrimination factor F3
Projection is carried out on the zircon trace elements obtained in the step 2 by taking (c (Ce)/c (Nd)/c (Y ') as abscissa and 10000 (c) (Eu)/c (Eu))/c (Y') as ordinate, a boundary line between the formed rock mass and the lean rock mass is obtained according to the projection range, fitting is carried out, and a discrimination factor F3 is obtained by utilizing the following formula: f3 ═ 41.7 ═ c (ce)/c (nd)/c (Y') +4.707 (formula 3);
fourthly, calculating a discriminant factor F4
Calculating the formation temperature and oxygen fugacity of the hornblende component obtained in the step 2), carrying out projection by taking T (temperature) as a horizontal ordinate and Delta FMQ (oxygen fugacity) as a vertical coordinate, obtaining a boundary line between an ore-forming rock mass and a lean rock mass according to the projection range, fitting, and calculating by using the following formula to obtain a discrimination factor F4: f4 ═ 0.0025 × T +3.8 (formula 4).
5) Method for judging mineralized rock mass and lean rock mass
The obtained total rock major element SiO 2 Substituting the content into the above formula 1, calculating the discrimination factor F1 when c (Sr)/c (Y)>And F1, judging the rock mass to be an ore-forming rock mass, and otherwise, judging the rock mass to be a lean rock mass.
The obtained total rock major element SiO 2 Substituting the content into the above formula 2, calculating the discrimination factor F2 when c (V)/c (Sc)>And F2, judging the rock mass to be an ore-forming rock mass, and otherwise, judging the rock mass to be a lean rock mass.
Substituting the obtained ratio of zircon (c (Ce)/c (Nd))/c (Y ') into the above formula 3, calculating the discrimination factor F3 when 10000 (c (Eu)/c (Eu))/c (Y'))>F3, judging the rock mass to be an ore-forming rock mass, otherwise, judging the rock mass to be a lean rock mass,
substituting the obtained amphibole temperature T into the formula 4, calculating a discrimination factor F4, and when c (delta FMQ) > F4, discriminating the amphibole rock mass as an ore-forming rock mass, otherwise, discriminating the amphibole rock mass as a lean rock mass.
When the four discrimination factors are all discriminated to obtain an ore-forming rock mass, the ore-forming rock mass is determined; and when at least one discrimination factor is used for discriminating the lean rock mass, the lean rock mass is determined.
When the individual sample is equal to a certain discrimination factor, comprehensive judgment and error correction can be carried out by referring to the results of other three discrimination factors, and under the condition of ensuring that the sample amount is sufficient, the discrimination of the ore-forming rock mass and the lean rock mass obtained on the basis of the statistical rule is credible and accurate.
Example 2
The method provides the mineralogical evaluation of the whole rock geochemistry and mineralogical chemistry porphyry system: taking a Cu deposit of cinnabar rock as an example, as shown in fig. 2, the method specifically comprises the following steps:
a. through geological mapping and drilling record, the acidic rock mass in the Zhunuo mining area is identified to comprise quartz porphyry, second-Chang granite and granite porphyry.
b. Collecting field samples: collecting weak-alteration or non-alteration medium-acidity rock mass in the Zhunuo earth surface and a borehole. During sampling, the following information was recorded in real detail, as shown in table 1:
TABLE 1 cinnunor mining area sampling record table
| Sample number- | X | Y | Lithology | Alteration of hand specimen | Mineralization of minerals | Location of a site |
| ZN1501 | 527394 | 3268370 | Quartz porphyry | Weak serite petrochemistry | Is free of | Zhu Nuo |
| ZN1502 | 527359 | 3267072 | Two long granite | No alteration | Is free of | Zhu Nuo |
| ZN1503 | 526129 | 3266961 | Granite porphyry | Weak potassium long petrified stone | Small amount of Brass mineralization | Zhu Nuo |
| … | … | … | … | … | … | … |
c. And (3) sample testing: and grinding the collected sample into powder or grinding the collected sample into a probe sheet and a laser in-situ target, wherein the powder sample is used for testing main and trace components of the whole rock, the probe sheet and the laser in-situ target are used for testing main and trace components of a single mineral, and the specific steps refer to step 2) in example 1.
d. Data processing: data processing is carried out by using ICPMSDataCal software, including data importing; (same as step 3 in example 1)); and thirdly, screening data. Finally obtaining the total rock main trace element SiO 2 The contents of Sr, Y, V and Sc are c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc), trace zircon elements Ce, Nd, Y, Eu, Sm, Gd in c (Ce), c (Nd), c (Y'), c (Eu), c (Sm), c (Gd), and goniamphibole temperature and oxygen loss, wherein the goniamphibole temperature is obtained from T (DEG C) (-151.487 × Si) +2041, and the oxygen loss is obtained from log fO 2 Obtained at-24441.9/t (k) +8.290(± 0.167).
e. And (3) mineral content evaluation: by using the final data (tables 2, 3 and 4) after Excel processing, judging that the collected Honunou di granite (porphyry) is an ore-forming rock mass and is matched with the actual ore-forming rock mass of the Honunou ore deposit according to the calculation results of the judgment factors F1, F2, F3 and F4, and further proving the effectiveness of the new method for evaluating the mineralization of the porphyry system based on mineral geochemistry (figure 1).
Table 2 partial whole rock elemental data results for cinnabar mine
| Lithology | Sample number | SiO2 | Sr | Y | V | Sc |
| Two long granite | 14-D01 | 70.12 | 604.01 | 8.75995 | 43.4805 | 4.78 |
| Two long granite | 14-D06 | 69.22 | 695.495 | 6.84855 | 67.4415 | 6.78 |
| Two long granite | ZX2-8 | 67.29 | 598.31 | 6.59775 | 72.3975 | 6.84 |
| Two long granite | 802-105.8 | 68.48 | 648.2 | 9.065 | 68.38 | 6.44 |
| Two long granite | 802-106.3 | 68.55 | 644.5 | 10.46 | 78.1 | 7.19 |
| Two long granite | 802-249.4 | 67.42 | 631.9 | 10.09 | 70.8 | 6.48 |
| Granite of Erchang granite | 702-276.2 | 71.05 | 375.3 | 4.863 | 44.6 | 3.64 |
| Granite of Erchang granite | 702-278.5 | 72.17 | 351.4 | 4.733 | 44.39 | 3.75 |
| Granite of Erchang granite | 702-336.5 | 71.21 | 420.9 | 6.314 | 46.41 | 3.73 |
| Granite of Erchang granite | 005-330.1 | 69.83 | 424.27 | 8.3304 | 46.08 | 4.75 |
| Granite of Erchang granite | 005-444.7 | 70.00 | 446.16 | 7.7058 | 45.25 | 3.77 |
| Granite of Erchang granite | 806-202.9 | 67.92 | 547.47 | 10.341 | 57.62 | 5.36 |
| Two long granite | 11-13 | 69.11 | 729.6 | 6.3483 | 48.95 | 3.92 |
| Two long granite | 11-14 | 69.62 | 748.03 | 6.19185 | 53.775 | 4.19 |
| Two long granite | 11-15 | 69.44 | 818.33 | 6.96465 | 58.375 | 4.96 |
| Two long granite | 11-16 | 69.29 | 743.755 | 6.05325 | 51.3875 | 4.24 |
Table 3 results of partial zircon data for cinnamyl mine area
Table 4 results of the angulometer composition data for the cinnunor mine area
Claims (6)
1. A porphyry system mineralization evaluation method based on mineral geochemistry is characterized by comprising the following steps:
1) delineating an ore-finding target area;
2) collecting all the medium-acid rock masses in the target area, selecting a sample without alteration or weak alteration, and carrying out chemical analysis to obtain the total-rock major trace element SiO 2 The contents of Sr, Y, V and Sc are denoted as c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc); the contents of the trace elements Ce, Nd, Y, Eu, Sm and Gd in zircon are marked as c (Ce), c (Nd), c (Y'), c (Eu), c (Sm) and c (Gd); the temperature T of the amphibole and the oxygen fugacity Delta FMQ;
3) taking F1-F4 as discrimination factors to discriminate the mineralized rock mass from the lean rock mass, specifically:
discrimination factor F1: f1 ═ 0.925 × c (SiO 2) 2 ) +113.75 (equation 1);
discrimination factor F2: f2 ═ 0.355 × c (SiO) 2 ) +34.15 (equation 2);
discrimination factor F3: f3 ═ 41.7 ═ c (ce)/c (nd)/c (Y') +4.707 (formula 3);
discrimination factor F4: f4 ═ 0.0025 ═ c (t) +3.8 (formula 4);
the total rock major trace element SiO obtained in the step 2) 2 Substituting the content into the above formula 1, calculating the discrimination factor F1 when c (Sr)/c (Y)>F1, judging the rock mass to be an ore-forming rock mass, otherwise, judging the rock mass to be a lean rock mass;
using the total rock major trace element SiO obtained in the step 2) 2 Substituting the content into the above formula 2, calculating the discrimination factor F2 when c (V)/c (Sc)>F2, judging the rock mass to be an ore-forming rock mass, otherwise, judging the rock mass to be a lean rock mass;
the zircon (c), (Ce)/c (c) (of)Substituting the Nd))/c (Y ') ratio into the above formula 3, calculating the discrimination factor F3 when 10000 (c (Eu)/c (Eu))/c (Y'))>F3, judging to be an ore-forming rock mass, otherwise, judging to be a lean rock mass, wherein
Substituting the amphibole temperature T obtained in the step 2) into the formula 4, and calculating a discrimination factor F4, wherein when the delta FMQ is greater than F4, the amphibole is discriminated as an ore-forming rock mass, and otherwise, the amphibole is discriminated as a lean rock mass;
when the four discrimination factors are all discriminated to obtain an ore-forming rock mass, the ore-forming rock mass is determined; and when at least one discrimination factor is used for discriminating the lean rock mass, the lean rock mass is determined.
2. The method according to claim 1, wherein in step 2), the sample without alteration or with weak alteration is selected, and the specific steps of performing chemical analysis are as follows: grinding the collected sample into powder, and grinding the powder into a probe sheet and a laser in-situ target, wherein the powder sample is used for testing main and trace components of the whole rock, and the probe sheet and the laser in-situ target are used for testing main and trace components of single minerals, wherein the single minerals are zircon and amphibole.
3. The method of claim 2, wherein the sample is ground into powder, ground into a probe tile and a laser in-situ target; wherein: the rock powder is used for analyzing the main and trace components of the whole rock to obtain the main and trace elements SiO of the whole rock 2 Sr, Y, V, Sc content; selecting magma amphibole from the sample ground into the probe piece, carrying out electronic probe component analysis, further determining the chemical components and types of the amphibole, and obtaining the temperature and the oxygen escape degree of the amphibole, wherein the temperature of the amphibole is obtained from T (° C) (-151.487 xSi) +2041, and the oxygen escape degree is obtained from log fO 2 Obtained at-24441.9/t (k) +8.290(± 0.167); and (3) selecting representative minerals to carry out laser ablation inductively coupled plasma mass spectrum in-situ micro-area element analysis on the sample ground into the laser in-situ target, thereby obtaining the contents of zircon trace elements Ce, Nd, Y, Eu, Sm and Gd.
4. The method according to claim 1, wherein in the step 2), for the single mineral, the preprocessing and interpretation of the data are divided into the following three steps: firstly, importing the obtained data in the original csv format into ICPMSDataCal software, and eliminating the data which are hit to an inclusion or are hit by minerals according to the abnormality of an element integration curve of each analysis test point; secondly, regarding the eliminated data, further eliminating mixed dyeing data by using the following standards: la > 1.5ppm is regarded as mixed-dyeing apatite, Fe>5500ppm reacted the mixed dyeing of Fe oxide, Ti > 60ppm regarded as mixed dyeing of Ti oxide, Ba>10ppm was taken as a mixed dyeing of the fluid inclusions; (iii) use 206 Pb/ 238 U isotope age values exclude interference from inherited minerals, i.e. when data points are obtained 206 Pb/ 238 Weighted average of U isotope ages less than or greater than sample 206 Pb/ 238 At the age of the U isotope, the data point is considered to be invalid data.
5. The method as claimed in claim 1, wherein in the step 3), the steps of obtaining the discriminant factors F1-F4 are as follows:
(1) respectively selecting more than 60 ore-forming rock mass samples without or with weak alteration and more than 60 lean rock mass samples;
(2) carrying out chemical analysis on the sample selected in the step (1) to obtain the total rock main trace element SiO 2 The contents of Sr, Y, V and Sc are represented as c (SiO) 2 ) C (Sr), c (Y), c (V), c (Sc); the contents of the trace elements Ce, Nd, Y, Eu, Sm and Gd in zircon are marked as c (Ce), c (Nd), c (Y'), c (Eu), c (Sm) and c (Gd); the temperature T of the amphibole and the oxygen fugacity Delta FMQ;
(3) drawing a scatter diagram based on the data of a large number of mining areas developed ore-forming rock masses and lean rock masses obtained in the step (2), fitting a plurality of data points near the demarcation point of the ore-forming rock masses and the lean rock masses into a straight line, and solving the equation of the straight line as a discrimination factor, wherein the equation specifically comprises the following steps:
obtaining discrimination factors F1-F4 through fitting and calculation, wherein the discrimination factors are as follows:
calculating discrimination factor F1
C (SiO) is used as the main trace element of the whole rock obtained in the step (2) 2 ) Projecting the diagram by using the abscissa c (Sr)/c (Y) as the ordinate, obtaining and fitting a boundary line between the mineralized rock mass and the lean rock mass according to the projection range, and calculating by using the following formula to obtain a discrimination factor F1: f1 ═ 0.925 × c (SiO 2) 2 ) +113.75 (equation 1);
② calculating a discrimination factor F2
C (SiO) is used as the main trace element of the whole rock obtained in the step (2) 2 ) C (V)/c (Sc) is used as an abscissa for projection, a boundary line of the mineralized rock mass and the lean rock mass is obtained according to the projection range and is fitted, and a discrimination factor F2 is obtained by utilizing the following formula: f2 ═ 0.355 × c (SiO) 2 ) +34.15 (equation 2);
computing discrimination factor F3
Projecting the zircon trace elements obtained in the step (2) by taking (c (Ce)/c (Nd)/c (Y ') as abscissa and 10000 (c) (Eu)/c (Eu))/c (Y') as ordinate, wherein
Obtaining and fitting a boundary line of the mineralized rock mass and the lean rock mass according to the projection range, and calculating by using the following formula to obtain a discrimination factor F3: f3 ═ 41.7 ═ c (ce)/c (nd)/c (Y') +4.707 (formula 3);
fourthly, calculating a discriminant factor F4
Calculating the formation temperature and oxygen fugacity of the hornblende component obtained in the step (2), carrying out projection by taking T (temperature) as an abscissa and delta FMQ (oxygen fugacity) as an ordinate, obtaining a boundary line between an ore-forming rock mass and a lean rock mass according to the projection range, fitting, and calculating by using the following formula to obtain a discrimination factor F4: f4 ═ 0.0025 × T +3.8 (formula 4).
6. The method according to claim 5, wherein in the step (2), for the single mineral, the data is preprocessed and interpreted, and the preprocessing and the interpretation are divided into the following three steps: firstly, importing the obtained data in the original csv format into ICPMSDataCal software, and eliminating and packaging the data according to the abnormity of the element integration curve of each analysis test pointData of casing or mineral being perforated; secondly, regarding the eliminated data, further eliminating mixed dyeing data by using the following standards: la > 1.5ppm is regarded as mixed-dyeing apatite, Fe>5500ppm reacted the mixed dyeing of Fe oxide, Ti > 60ppm regarded as mixed dyeing of Ti oxide, Ba>10ppm was taken as a mixed dyeing of the fluid inclusions; (iii) use 206 Pb/ 238 U isotope age values exclude interference from inherited minerals, i.e. when data points are obtained 206 Pb/ 238 Weighted average of U isotope ages less than or greater than sample 206 Pb/ 238 At the age of the U isotope, the data point is considered to be invalid data.
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