CN113433152A - Method for identifying carbonate type REE ore deposit mineralization zone based on V-NIR and XRF - Google Patents
Method for identifying carbonate type REE ore deposit mineralization zone based on V-NIR and XRF Download PDFInfo
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Abstract
The invention relates to a method for identifying a carbonate type REE ore deposit mineralization zone based on V-NIR and XRF, which is used for rapidly and nondestructively identifying carbonate type rare earth ore deposit ore samples and rock samples based on a V-NIR spectrum technology and portable XRF, thereby rapidly identifying the carbonate type REE ore deposit mineralization zone and delineating an ore finding target area, and has the following advantages: the method has the advantages of no need of sample preparation and standard sample preparation, high speed, low cost and high efficiency, and meets the identification requirement of whether the target sample is mineralized in the field investigation process.
Description
Technical Field
The invention belongs to the technical field of mineral deposit exploration, and particularly relates to a method for identifying a carbonate type REE mineral deposit mineralization zone based on V-NIR and XRF.
Background
The mineral deposit is a useful mineral gathering place with mining and utilization values formed by geological action, and the exploration of the mineral deposit comprises four stages of pre-exploration, general exploration, detailed exploration and layer-by-layer depth exploration. The exploration is a mining area with known industrial value or an exploration area which is circled by detailed exploration, various sampling projects and feasibility researches are encrypted by applying various exploration means and effective methods, and a basis is provided for mine construction in the aspects of determining production scale, product scheme, mining mode, development scheme, ore processing and dressing technology, mine overall arrangement, mine construction design and the like.
In the process of mineral deposit exploration, a mineralization zone needs to be identified and delineated, and the traditional method is to delineate a mineral body according to oxide or element content data obtained by chemical analysis of a drill core. The fine carding and delineation mineralized zone sometimes needs to be combined with test methods such as electron probe composition analysis (EMPA) and X-ray diffraction spectrum (XRD) analysis, and the like, and is subjected to sample preparation, sample delivery, experiments and other processes, so that the period is long, the efficiency is low, and the cost is high, and therefore, a new investigation technology is urgently needed to solve the problems.
Carbonate type (including carbonate-alkaline rock type, hereinafter referred to as carbonate type) rare earth deposits possess more than half of global rare earth resources, while rare earth elements (REE earth elements, REE) are known as vitamins of modern industry, and are also important components of key metal elements, are strategic mineral resources competing for global competition in the 21 st century, and are widely applied to the fields of aerospace, national defense science and technology, nuclear energy clean energy, novel materials and the like. The spectral reflection characteristics of visible light-near infrared (V-NIR) wave band provide a fast, lossless and cheap technical method for acquiring the chemical composition information of the minerals related to the rare earth deposit. The basic principle is that the rare earth ion 4f electron layer is subjected to wave absorption caused by f-f transition, and the wave absorption can be used for quantitatively evaluating the REE type and content. The Qinzhou yoga, etc. uses visible light-near infrared-short wave infrared to research kaolinite, chlorite and sericite, and initially establishes ion adsorption rare earth ore deposit remote sensing prospecting evaluation model (Qinzhou)Yog, etc., 2012). The crystal generation and the like use a United states ASD field Spec-3 portable surface feature spectrometer to obtain the spectrum characteristics of different rare earth solutions, calculate the spectrum absorption depth and the total rare earth concentration by using a method of the ratio of an original spectrum and a pure water spectrum aiming at 6 obvious rare earth characteristic absorption valleys of a visible light-near infrared band, and perform linear regression analysis, thereby establishing a rare earth concentration quantitative evaluation model (crystal generation and the like, 2014,2017). Successfully and linearly regressing and modeling through 5 rare earth characteristic absorption wave bands and visible light wave bands, the total content of rare earth of ion-adsorbing rare earth ore and original rock and the content of rare earth element in 15 to obtain a quantitative prediction model of the rare earth content of a sample (successfully and 2019), performing nondestructive detection on the content of the La element in the sedimentary rare earth ore of Xuewa group by using visible light-near infrared reflection spectrum (Cao generation and 2020) by taking the La element in the Xuewa sedimentary rare earth ore of the northern Qianxi phylon Cao and China as a research object.
et al (2018) study on a REE-Nb-Zr deposit in the Nechalcho region of Canada, for example, on the alteration band, the spectral recognition of minerals, and the relation between Nd and 741nm relative absorption depth (see
et al.,2018)。
Although the prior art explores the quantitative evaluation of REE elements of the original rock and ore of the ion adsorption type rare earth ore and the prepared rare earth solution, the nondestructive detection of the La element content of the deposition type rare earth ore is researched, the REE-Nb-Zr deposit alteration zone and the mineral spectrum identification are discussed to different degrees, however, the difference between the composition of the original rock of the carbonate-type REE deposit and the composition of the original rock and the mineral of the ion-adsorption-type REE deposit, the deposition-type REE deposit and the REE-Nb-Zr deposit is large, the integral REE content of the carbonate-type REE deposit is far higher than that of the ion-adsorption-type deposit (the REE content of the former is 2-3 orders of magnitude higher than that of the latter), the carbonate-type REE deposit is a light rare earth (LREE) deposit, and the ion-adsorption-type REE deposit and the REE-Nb-Zr deposit are heavy rare earth (HREE) deposits, and the difference is large. The fine carding and delineation mineralized zone sometimes needs to be combined with test methods such as electron probe composition analysis (EMPA) and X-ray diffraction spectrum (XRD) analysis, and is long in period, low in efficiency, high in cost and destructive to a rock core sample through processes such as sample preparation, sample delivery and experiment.
The present invention has been made in view of the above circumstances.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for identifying a mineralization zone of a carbonate REE ore deposit based on V-NIR and XRF.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method of identifying carbonate-type REE deposit mineralization zone based on V-NIR and XRF, said method comprising the steps of:
(1) selecting a typical sample of a mine area to be tested, determining the mineral composition of the typical sample by adopting an orthogonal polarization microscope and an XRD (X-ray diffraction) method, and classifying the typical sample according to the mineral composition;
(2) based on the classification of the typical sample in the step (1), analyzing the original reflectivity, the envelope curve removing reflectivity and the relative absorption depth of the typical sample at the characteristic absorption peak through a V-NIR spectrum, establishing a sample spectrum matching library to obtain the spectral data characteristics of the typical sample, and judging whether the test sample with unknown attribute is mineralized or not according to the spectral data characteristics;
(3) acquiring the element content of a typical sample through XRF, inducing the element content data characteristics of the typical sample, and judging whether the test sample with unknown attribute is mineralized or not according to the element content data characteristics;
(4) and (3) if at least one condition of the steps (2) and (3) judges that the test sample is mineralized, the test sample is an ore sample, otherwise, the test sample is a rock sample.
According to the method, at least one condition judges that the test sample with unknown attribute is mineralized, the test sample is an ore sample, if the condition judges that the test sample is mineralized, the reliability of the test sample being the ore sample is higher, and if none of the conditions in the steps (2) and (3) can judge that the test sample is the ore sample, the test sample is a rock sample.
The invention uses the cross polarization microscope to observe the mineral composition of the sample, and uses X-ray powder diffraction (XRD) to analyze the mineral composition of the sample, thereby clearly defining the property of the sample. The acquisition of V-NIR spectral data and portable XRF elemental content data, both without loss of information, require evaluation under a skiving mirror and prior to XRD testing. And (3) firstly carrying out V-NIR spectral data acquisition and portable XRF element content data acquisition on the same sample, then conveying a part of rock samples and ore samples subjected to spectral data acquisition to sample slicing, and carrying out rock and ore identification. The sample remaining after slicing was pulverized to 200 mesh for XRD test.
The steps (2) and (3) in the invention can be interchanged in sequence, that is, the step (2) can be performed first, and then the step (3) can be performed, or the step (3) can be performed first, and then the step (2) can be performed.
Further, typical samples in step (1) are divided into ore samples and rock samples.
Further, the ore samples include calcite vein type ore, celestite fluorite vein type ore, celestite calcite vein type ore, breccid type ore and celestite phlogopite vein type ore, and the rock samples include quartz amphibole, neon rock and trona syenite.
Wherein the calcite vein type ore mainly comprises minerals such as calcite, bastnaesite, fluorite, celestite, gypsum and the like; the celestite fluorite vein type ore mainly comprises celestite, fluorite, gypsum, calcite, bastnaesite, phlogopite and other minerals; the celestite calcite vein type ore mainly comprises celestite, calcite, fluorite, gypsum, bastnaesite, phlogopite and other minerals; the breccia type ore mainly comprises argillized crushed rock breccia, rough-faced rock breccia, plagioclase crushed speckles, celestite, bastnaesite, pyrite and other minerals; the celestite-containing rutile type rutile mica vein type ore mainly comprises celestite, phlogopite, fluorite, gypsum, bastnaesite and other minerals; the quartz amphibole mainly comprises anorthite, amphibole, quartz and other minerals; the neon rock mainly comprises alkaline feldspar, neon spar, sodium flint and other minerals; the igneous rock of trona is mainly composed of alkaline feldspar, biotite and a small amount of quartz.
Further, in the spectral data characteristic in the step (2), the original image and the spectral data collected by the HyLogger type core spectral scanner are imported into geological interpretation software TSG, and the position of the characteristic absorption peak is summarized and obtained by combining the research result of the predecessor and the spectral data collected this time.
The TSG is called The Spectral Geologist and translated into Spectral geology specialist, and The software integrates various geological Spectral data analysis algorithms and a set of mineral Spectral database specially tested by Australian CSIRO.
Further, the positions of characteristic absorption peaks of ore samples with high REE content in TSG software are 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892nm respectively, the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of a typical sample at the characteristic absorption peaks are obtained respectively by utilizing a related algorithm in spectral geological interpretation software, and then characteristic rules of the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of the rock samples and the ore samples at the characteristic absorption peaks are summarized and established so as to judge whether the test samples with unknown attributes are mineralized or not.
Further, the original reflectances of the typical samples measured at the wave bands of 512nm and 892nm, 524nm and 864nm, 580nm and 800nm, 676nm and 740nm are divided into four groups, a scatter diagram is made according to the original reflectivity measured by each group, the scatter diagram is divided into an ore area, a rock area and an overlapping area, if the drop point of the original reflectivity measured by the test sample is in the ore area, the test sample is ore, if the drop point of the original reflectivity measured by the test sample is in the rock area, the test sample is rock, and if the drop point of the original reflectivity measured by the test sample is in the overlapping area, the judgment is carried out by referring to other methods.
Further, the sample was tested for its envelope reflectivity at 512nm and 524nm, and if the test sample had an envelope reflectivity Hul512<0.997 at 512nm or an envelope reflectivity Hul524<0.997 at 524nm, the test sample was an ore sample, otherwise it was a rock sample.
Further, determining a relative absorption depth of the test sample at the characteristic absorption peak when the relative depth of the test sample satisfies at least one of the following conditions: dep512>0.002, Dep524>0002, Dep580>0.002, Dep676>0.002, Dep740>0.004, Dep800>0.006, Dep864>0.004, Dep892>0.002, the tested sample is ore, otherwise rock sample.
And when the test sample with unknown properties is determined to be the ore sample under at least one condition of the original reflectivity, the envelope elimination reflectivity and the relative absorption depth of the test sample at the characteristic peak, the test sample obtained through the V-NIR spectral analysis is the ore sample.
Further, XRF determination in step (3) of the test sample element content meets La requirement>1115×10-6、Ce>1974×10-6、Y>107×10-6Is determined, the test sample is an ore sample, otherwise a rock sample.
According to the invention, the Vanta VMW type portable XRF is adopted to collect element content data, the rare earth element types which can be collected by the Vanta VMW type portable XRF at present comprise five elements of La, Ce, Pr, Nd and Y, but most of Pr and Nd element values of the collected samples cannot be detected. Therefore, the invention only discusses the content characteristics of La, Ce and Y elements in the tested data, most rock samples can not be detected for the content of the La and Ce elements, and a small amount of detected La is less than or equal to 213 multiplied by 10-6，Ce≤404×10-6La of a usual ore sample>1115×10-6，Ce>1974×10-6. The content of Y element in various ores and various rocks can be detected, and the Y element in the ores and the rocks has obvious difference, so that the Y element in a common ore sample>107×10-6. He-ShiCompared with the prior art, the invention has the beneficial effects that:
the method disclosed by the invention is used for rapidly and nondestructively distinguishing the ore sample and the rock sample of the carbonate type rare earth ore deposit based on a V-NIR spectral technology and a portable XRF (X-ray fluorescence) so as to rapidly identify the mineralization zone of the carbonate type REE ore deposit and delineating the target area of the ore deposit, and the method disclosed by the invention has the following advantages: the method has the advantages of no need of sample preparation and standard sample preparation, high speed, low cost and high efficiency, meets the identification requirement of whether the target sample is mineralized in the field on-site investigation process, and fills the blank of judging whether the carbonate type REE ore deposit sample is mineralized based on the V-NIR spectrum technology and XRF element content characteristics.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a process flow diagram of the method of identifying carbonate type REE deposit mineralization zone based on V-NIR and XRF according to the invention
FIG. 2 is a photograph of hand specimen of various ores and rocks of the continental slot carbonate type REE deposit of the present invention;
FIG. 3 is a photograph under a single-polarization and cross-polarization microscope of various ores, rocks of the continental slot carbonate type REE deposit of the present invention;
FIG. 4 is a scatter diagram of the original reflectivity of various ores and rocks of the continental groove carbonate type REE deposit at the wave bands of 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892 nm;
FIG. 5 is a graph comparing the envelope reflectivity of various ores and rocks of the continental groove carbonate REE deposit at the bands of 512nm and 524 nm;
FIG. 6 is a graph showing the comparison of the relative absorption depths at the bands of 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892nm of various ores and rocks of the continental groove carbonate type REE deposit according to the present invention;
FIG. 7 is a scatter plot of the rare earth element content of the portable XRF test of various ores and rocks of the continental slot carbonate type REE deposit of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
In this example, a large-scale REE deposit in a continental slot of a crown-German rare earth mineral-forming zone of Sichuan province was studied.
The specific flow chart of the method for identifying the mineralization zone of the carbonate-type REE deposit based on V-NIR and XRF is shown in figure 1, and the method comprises the following steps:
(1) selecting a typical sample of a mine area to be tested, determining the mineral composition of the typical sample by adopting an orthogonal polarization microscope and an XRD (X-ray diffraction) method, and classifying the typical sample according to the mineral composition, wherein the typical sample is divided into an ore sample and a rock sample, the ore sample comprises calcite vein type ore, celestite fluorite vein type ore, celestite calcite vein type ore, glutenite type ore and celestite phlogopite vein type ore, the rock sample comprises quartz amphibole, neon rock and tronite, as shown in figures 2 and 3, and (a) and (b) in figure 3 are photos of the calcite vein type ore under single polarization and orthogonal polarization respectively and mainly comprise minerals such as calcite and bastnaesite; (c) and (d) are pictures under single polarization and cross polarization lens of celestite fluorite vein type ore respectively, mainly composed of minerals such as celestite, fluorite, bastnaesite, phlogopite, etc.; (e) and (f) are photos of celestite calcite vein type ore under single polarization and orthogonal polarizers respectively, and mainly comprise celestite, calcite, bastnaesite, phlogopite and other minerals; (g) and (h) are the monoclinic and orthorhombic photographs of the breccia type ore, mainly composed of clayed crushed rock breccia, rough-faced rock breccia, plagioclase broken specks and celestite, bastnaesite, pyrite and other minerals; (i) and (j) are pictures under single polarization and cross polarization lens of celestite rutile type rutile, mainly composed of mineral such as phlogopite, bastnaesite, celestite, fluorite, etc.; (k) and (l) are respectively the pictures under the quartz amphibole single polarization and the orthogonal polarizer, and mainly comprise anorthite, amphibole, quartz and other minerals; (m) and (n) are respectively the pictures under neon monotectic light and orthogonal polarizer, mainly composed of alkaline feldspar, neon pyroxene, sodium flint and other minerals; and (o) and (p) are respectively photos under monoclinic and orthorhombic polarizers of the quartz alkali, and mainly comprise alkali feldspar, biotite and a small amount of quartz.
Mineral abbreviations: agt-neon; amp-hornblende; bsn-bastnaesite; bt-biotite; cal-calcite; cls-celestite; fl-fluorite; phl-phlogopite; pl-plagioclase; py-pyrite; Qtz-Quartz.
XRD measurements required samples to be crushed to 200 mesh for testing, and the mineral types and mass percentages obtained after analysis of typical ore and rock samples by XRD measurements are shown in table 1.
TABLE 1 mineral composition and relative content obtained from XRD testing of typical ore samples and rock samples of continental slot carbonate-type REE deposits
Note: the relative mineral content is given in (%) in table 1.
(2) Based on the classification of the typical sample in the step (1), analyzing the original reflectivity, the envelope reflectivity and the relative absorption depth of the typical sample at the characteristic absorption peak through a V-NIR spectrum, establishing a sample spectrum matching library to obtain the spectral data characteristic of the typical sample, wherein the spectral data characteristic is to guide the original image and the spectral data acquired by a HyLogger type core spectrum scanner into geological interpretation software TSG, summarize and obtain the position of the characteristic absorption peak, and judge whether the test sample is mineralized according to the spectral data characteristic;
combining the research results of the predecessors and the spectral data acquired this time, the positions of characteristic absorption peaks of ore samples with high REE content in the typical sample in TSG software are 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892nm respectively, the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of the typical sample at the characteristic absorption peaks are acquired respectively by using a related algorithm in spectral geological interpretation software, and then characteristic rules of the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of the rock sample and the ore sample at the characteristic absorption peaks are summarized and established so as to judge whether the test sample with unknown attributes is mineralized or not.
The original reflectivities of the ore sample and the rock sample are not completely different through tests, the original reflectivities measured at wave bands of 512nm and 892nm, 524nm and 864nm, 580nm and 800nm, 676nm and 740nm are divided into four groups respectively in consideration of overlapping and crossing, and a scatter diagram is made according to the original reflectivities measured at each group, as shown in FIG. 4, Ref512, Ref524, R580, Ref676, Ref740, Ref800, Ref864 and Ref892 respectively represent the original reflectivities of the sample at wave bands of 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892 nm. The scatter diagram is divided into an ore area, a rock area and an overlapping area, if the drop point of the test sample is in the ore area, the test sample is ore, if the drop point of the test sample is in the rock area, the test sample is rock, and if the drop point of the test sample is in the overlapping area, the judgment is carried out by referring to other methods.
For a typical sample, as shown in fig. 5, wherein Qul512, Qul524 represent the deinveloping reflectivities of the sample at the bands of 512nm and 524nm, respectively, the ore sample and the rock sample have a significant difference only at 512nm and 524nm, and the deinveloping reflectivities of the ore Hul512<0.997 and Hul524<0.997 are analyzed, so that the deinveloping reflectivities of the test sample at 512nm and 524nm are determined, and if the deinveloping reflectivity of the test sample at 512nm is Hul512<0.997 or the deinveloping reflectivity at 524nm is Hul524<0.997, the test sample is the ore sample, otherwise the rock sample.
The relative absorption depths were measured for a typical sample as shown in fig. 6, where Dep512, Dep524, Dep580, Dep676, Dep740, Dep800, Dep864, and Dep892 represent the relative absorption depths of the sample at the wavelength bands of 512nm,524nm,580nm,676nm,740nm,800nm,864nm, and 892nm, respectively. The ore sample and the rock sample have a significant difference, and the relative absorption depth of the test sample at the characteristic absorption peak is determined when the relative depth of the test sample satisfies at least one of the following conditions: dep512>0.002, Dep524>0002, Dep580>0.002, Dep676>0.002, Dep740>0.004, Dep800>0.006, Dep864>0.004, Dep892>0.002, the tested sample is ore, otherwise rock sample.
(3) The content of rare earth elements of a typical sample is collected by XRF and shown in table 2, a scatter diagram of the content of the rare earth elements is shown in figure 7, the data characteristics of the content of the elements of the typical sample are summarized, whether the test sample is mineralized or not is determined according to the data characteristics of the content of the elements, and the XRF determines that the test sample meets the requirement of La>1115×10-6、Ce>1974×10-6、Y>107×10-6Is determined, the test sample is an ore sample, otherwise a rock sample.
TABLE 2 Portable XRF elemental content of typical rocks, ores of continental slot carbonate-type REE deposits of the invention
Note: ND represents undetected data
(4) And (3) if at least one condition of the steps (2) and (3) judges that the test sample is mineralized, the test sample is an ore sample, otherwise, the test sample is a rock sample.
According to the method, at least one condition judges that the test sample with unknown attribute is mineralized, the test sample is an ore sample, if the condition judges that the test sample is mineralized, the reliability of the test sample being the ore sample is higher, and if none of the conditions in the steps (2) and (3) can judge that the test sample is the ore sample, the test sample is a rock sample.
For a sample of carbonate-type REE deposit, the probability of mineralization of the sample is very high if multiple conditions of both V-NIR spectral data and XRF elemental content characteristics can be met. Therefore, the V-NIR spectral data and the XRF element content characteristics can be comprehensively tested and analyzed on unknown samples, so that the evidence is more complete, and the mineralization can be identified more accurately.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. A method for identifying a carbonate-type REE deposit mineralization zone based on V-NIR and XRF, the method comprising the steps of:
(1) selecting a typical sample of a mine area to be tested, determining the mineral composition of the typical sample by adopting an orthogonal polarization microscope and an XRD (X-ray diffraction) method, and classifying the typical sample according to the mineral composition;
(2) based on the classification of the typical sample in the step (1), analyzing the original reflectivity, the envelope curve removing reflectivity and the relative absorption depth of the typical sample at the characteristic absorption peak through a V-NIR spectrum, establishing a sample spectrum matching library to obtain the spectral data characteristics of the typical sample, and judging whether the test sample with unknown attribute is mineralized or not according to the spectral data characteristics;
(3) acquiring the element content of a typical sample through XRF, inducing the element content data characteristics of the typical sample, and judging whether the test sample with unknown attribute is mineralized or not according to the element content data characteristics;
(4) and (3) if at least one condition of the steps (2) and (3) judges that the test sample is mineralized, the test sample is an ore sample, otherwise, the test sample is a rock sample.
2. The method for identifying carbonate-type REE deposit mineralization belt based on V-NIR and XRF according to claim 1, wherein the typical samples in step (1) are divided into ore samples and rock samples.
3. The method of claim 2, wherein said ore samples comprise calcite vein type ore, celestite fluorite vein type ore, celestite calcite vein type ore, glutenite type ore, and celestite phlogopite vein type ore, and wherein said rock samples comprise quartzite, neon, and trona.
4. The method for identifying the mineralization zone of the carbonate type REE deposit based on V-NIR and XRF as claimed in claim 1, wherein the spectral data characteristics in the step (2) are that raw images and spectral data collected by a HyLogger type core spectral scanner are led into geological interpretation software TSG, and the positions of characteristic absorption peaks are summarized by combining the research results of the former people and the spectral data collected this time.
5. The method for identifying the carbonate REE ore deposit mineralization band based on V-NIR and XRF as claimed in claim 4, wherein the positions of characteristic absorption peaks of ore samples with high REE content in TSG software are 512nm,524nm,580nm,676nm,740nm,800nm,864nm and 892nm respectively, the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of typical samples at the characteristic absorption peaks are obtained respectively by using related algorithms in spectral geological interpretation software, and then characteristic rules of the original reflectivity, the envelope-removed reflectivity and the relative absorption depth of the rock samples and the ore samples at the characteristic absorption peaks are summarized and established so as to judge whether the test samples with unknown attributes are mineralized or not.
6. The method for identifying carbonate-type REE ore deposit mineralization band based on V-NIR and XRF as claimed in claim 5, wherein the original reflectivities of typical samples measured at the bands of 512nm and 892nm, 524nm and 864nm, 580nm and 800nm, 676nm and 740nm are divided into four groups, a scatter plot is made according to each group of the measured original reflectivities, the scatter plot is divided into an ore region, a rock region and an overlapping region, if the drop point of the measured original reflectivity of the test sample is in the ore region, the test sample is ore, if the drop point of the measured original reflectivity of the test sample is in the rock region, the test sample is rock, and if the drop point of the measured original reflectivity of the test sample is in the overlapping region, the determination is made by referring to other methods.
7. The method of claim 5, wherein the de-envelope reflectivities of the test sample at 512nm and 524nm are determined, and if the de-envelope reflectivities of the test sample at 512nm are Hul512<0.997 or at 524nm are Hul524<0.997, the test sample is an ore sample, otherwise a rock sample.
8. The method of claim 5, wherein the relative absorption depth of the test sample at the characteristic absorption peak is determined when the relative depth of the test sample satisfies at least one of the following conditions: dep512>0.002, Dep524>0002, Dep580>0.002, Dep676>0.002, Dep740>0.004, Dep800>0.006, Dep864>0.004, Dep892>0.002, the tested sample is ore, otherwise rock sample.
9. The method for identifying the mineralization of carbonate-type REE deposit based on V-NIR and XRF as claimed in claim 1, wherein the XRF determination in step (3) is performed on the test sample with the element content satisfying La>1115×10-6、Ce>1974×10-6、Y>107×10-6Is determined, the test sample is an ore sample, otherwise a rock sample.
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