CN118364953A - Method for rapidly predicting ore body component zoning of hidden gas-liquid jet-over deposition type magnesite ore deposit - Google Patents
Method for rapidly predicting ore body component zoning of hidden gas-liquid jet-over deposition type magnesite ore deposit Download PDFInfo
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- CN118364953A CN118364953A CN202410486271.6A CN202410486271A CN118364953A CN 118364953 A CN118364953 A CN 118364953A CN 202410486271 A CN202410486271 A CN 202410486271A CN 118364953 A CN118364953 A CN 118364953A
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- manganese
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- ZLNQQNXFFQJAID-UHFFFAOYSA-L magnesium carbonate Chemical compound [Mg+2].[O-]C([O-])=O ZLNQQNXFFQJAID-UHFFFAOYSA-L 0.000 title claims abstract description 42
- 239000001095 magnesium carbonate Substances 0.000 title claims abstract description 42
- 229910000021 magnesium carbonate Inorganic materials 0.000 title claims abstract description 42
- 235000014380 magnesium carbonate Nutrition 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 25
- 239000007788 liquid Substances 0.000 title claims abstract description 17
- 238000013316 zoning Methods 0.000 title claims abstract description 15
- 230000008021 deposition Effects 0.000 title description 10
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 claims abstract description 74
- 229910052748 manganese Inorganic materials 0.000 claims abstract description 74
- 239000011572 manganese Substances 0.000 claims abstract description 74
- 229910021532 Calcite Inorganic materials 0.000 claims abstract description 35
- XMWCXZJXESXBBY-UHFFFAOYSA-L manganese(ii) carbonate Chemical compound [Mn+2].[O-]C([O-])=O XMWCXZJXESXBBY-UHFFFAOYSA-L 0.000 claims abstract description 11
- 239000000203 mixture Substances 0.000 claims abstract description 7
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 claims description 27
- 239000011575 calcium Substances 0.000 claims description 27
- 229910052791 calcium Inorganic materials 0.000 claims description 27
- 238000013178 mathematical model Methods 0.000 claims description 13
- 238000010586 diagram Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 7
- 238000005553 drilling Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 3
- 150000001875 compounds Chemical class 0.000 claims description 3
- 230000001419 dependent effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 229910052710 silicon Inorganic materials 0.000 claims description 3
- 239000010703 silicon Substances 0.000 claims description 3
- 210000003462 vein Anatomy 0.000 claims description 3
- 235000003283 Pachira macrocarpa Nutrition 0.000 claims description 2
- 241001083492 Trapa Species 0.000 claims description 2
- 235000014364 Trapa natans Nutrition 0.000 claims description 2
- AXCZMVOFGPJBDE-UHFFFAOYSA-L calcium dihydroxide Chemical compound [OH-].[OH-].[Ca+2] AXCZMVOFGPJBDE-UHFFFAOYSA-L 0.000 claims description 2
- 238000013501 data transformation Methods 0.000 claims description 2
- 235000009165 saligot Nutrition 0.000 claims description 2
- 238000010183 spectrum analysis Methods 0.000 claims description 2
- 238000005204 segregation Methods 0.000 claims 1
- 238000007418 data mining Methods 0.000 abstract description 4
- 238000003723 Smelting Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 238000009472 formulation Methods 0.000 abstract description 2
- 239000011435 rock Substances 0.000 description 3
- 241001070941 Castanea Species 0.000 description 2
- 235000014036 Castanea Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000001126 calcilytic effect Effects 0.000 description 2
- ZQNPDAVSHFGLIQ-UHFFFAOYSA-N calcium;hydrate Chemical compound O.[Ca] ZQNPDAVSHFGLIQ-UHFFFAOYSA-N 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 235000008733 Citrus aurantifolia Nutrition 0.000 description 1
- 235000011941 Tilia x europaea Nutrition 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000004571 lime Substances 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 235000010755 mineral Nutrition 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)
Abstract
The invention belongs to the field of geological data mining and prospecting prediction, and particularly relates to a method for rapidly predicting ore body components of a hidden gas-liquid jet-overflow sedimentary type magnesite deposit in a zoning way. According to the scheme, only the identification and content estimation of the calcic magnesite and the manganese calcite are added to a small part of core auxiliary samples, so that time, funds and labor can be saved greatly, the quick, cheap and accurate technical effects are achieved, the prediction of the spatial distribution of the ore body components of the rhodochrosite can be realized, and the decision making and the formulation of the technological scheme of exploration, exploitation and smelting are facilitated.
Description
Technical Field
The invention belongs to the field of geological data mining and prospecting prediction, and particularly relates to a method for rapidly predicting ore body components of a hidden gas-liquid jet-overflow deposition type magnesite deposit in a zoning manner.
Background
Manganese ores occupy a very important strategic position in national economy, wherein gas-liquid jet overflow deposition type rhodochrosite is the main manganese ore type in China. Along with gradual reduction of surface ores, shallow ores and easily identifiable ores, the direction of finding ores is gradually changed from the surface ores to deep hidden ore bodies. The calcic magnesite, the manganese calcite and the rhodochrosite are all ore-forming minerals of the ore deposit, and the sum of the three contents is the ore body grade of the manganese ore. The grade of the manganese ore body and the content of the calcium magnesite and the manganese calcite have obvious influence on the availability of resources and the smelting process flow, the grade of the manganese ore body is an integral parameter which is necessary to measure, but the measurement of the content of the calcium magnesite and the manganese calcite is high in cost, all rock (ore) cores can not be measured, if the content of the calcium magnesite and the manganese calcite can be estimated through a correlation model, a large amount of funds can be saved, and the method has great significance on the zonal prediction of ore body components.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for rapidly predicting the ore body component zoning of a hidden gas-liquid jet-overflow deposition type magnesite deposit, and because the grade of the manganese ore body has a close correlation with the content of the lime magnesite and the manganese calcite, the grade of the manganese ore body is the ore layer core of each drilling hole, and the sequential dense sampling and grade test are required. Therefore, the method establishes a correlation model between manganese ore body grade and the sum of the calcium-water chestnut ore and manganese calcite content through carrying out component identification and content test on core auxiliary samples left by representative drilling grade test in an ore collecting region, thereby realizing estimation of the calcium-water chestnut ore and manganese calcite content value of the whole ore deposit and the ore layers at all positions of the ore collecting region and component zonal prediction thereof.
The invention aims to provide a rapid prediction and evaluation technology for the zonal separation of ore body components of a hidden gas-liquid jet-over deposition type magnesite deposit, and solves the defects of the existing core data mining technology method.
A method for rapidly predicting ore body component zoning of a hidden gas-liquid jet-over deposition type magnesite deposit comprises the following steps:
Step 1, in each large-scale ore deposit of a rhodochrosite ore collecting area, 3-5 representative holes are selected according to different thickness and manganese grades of a manganese-containing ore layer, sheets of core auxiliary samples are all reserved in the ore layer, the contents of calcium rhombohsite and manganese calcite are identified by carrying out sheet combination energy spectrum analysis on each core auxiliary sample, the sum of the contents of the calcium rhombohsite and the manganese calcite is taken, and meanwhile, the hole number, sample number, air bubbles, sequential thin silicon vein and manganese grade of each sheet are recorded and analyzed;
Step 2, carrying out data cleaning, data transformation and data protocol on the data of each core auxiliary sample of the representative drilling on the premise that the information is not changed, and deleting the data of the sum of the manganese grade data and the calcium magnesite and the manganese calcite of one core auxiliary sample when any parameter in the data of the manganese grade data or the sum of the calcium magnesite and the manganese calcite of the core auxiliary sample is confirmed to be a singular value;
Drawing all data pairs (x, y) of core auxiliary samples of all the drill holes reserved in the step 2 into a two-dimensional scatter diagram by taking the manganese grade as an abscissa (independent variable x) and the sum of the contents of the calcium magnesite and the manganese calcite as an ordinate (dependent variable y), and then selecting a proper fitting mathematical model or drawing into a curve diagram by utilizing a visual drawing tool according to the form of the scatter diagram;
step 4, in the model selected in the step 3, performing significance test on the model, setting the confidence coefficient to be 0.01, adjusting equation coefficients by using a visual drawing tool to enable the equation to reflect the relation among variables more accurately, and determining the equation coefficients, thereby determining a mathematical model of the correlation relation between the manganese grade and the sum of the calcium magnesite and manganese calcite contents;
and 5, predicting the content of the lime water chestnut and the manganese calcite in the ore deposit or the ore collection area by utilizing the mathematical model established in the step 4 and matching with the obtained rhodochrosite grade detection data.
Furthermore, the total number of sheets in step 1 is not less than 600.
In addition, the manganese grade in the step 1 refers to the sum of the contents of the calcium magnesite, the manganese calcite and the rhodochrosite.
And, when the parameter in the step 2 is more than 100 times or less than 1/100 of the other corresponding data, it is confirmed as a singular value.
Moreover, the fitting of the mathematical model in step 3 includes at least one, two, three, logarithmic, exponential, compound and growth curve models.
And the mathematical model of the correlation relationship between the manganese grade and the sum of the calcium magnesite and the manganese calcite content determined in the step 4 is one or more.
Compared with the prior art, the beneficial effect of this technical scheme lies in:
1. The method is used for quantitatively analyzing the relationship between the sum of the contents of the calcilytic and the calcite and the manganese grade aiming at the ore body component zoning of the hidden gas-liquid jet-overflow deposition type rhodochrosite, determining equation coefficients and forming a mathematical model, can realize the spatial distribution prediction of the ore body component of the rhodochrosite, and is beneficial to guiding the decision-making and the formulation of the exploration, exploitation and smelting process scheme.
2. By fully excavating the manganese ore core data and utilizing the ore body grade test results which are needed to be measured in the ore deposit or the ore collection area, the identification and content estimation of the calcium magnesite and the manganese calcite rock are only needed to be added to a small part of core auxiliary samples, so that the time, the funds and the labor can be greatly saved, and the quick, low-cost and accurate technical effects can be achieved.
3. The mathematical model of the correlation relation between the optimal manganese grade and the sum of the contents of the calcium magnesite and the manganese calcite is found out from various mathematical models by deleting singular values, setting confidence and the like, so that the rapid zonal delineation of ore body components of the hidden gas-liquid jet-overflow deposition type magnesite deposit is more accurate and efficient.
Drawings
FIG. 1 is a flow chart of a rapid predictive evaluation technique for zoning of ore body components of a blind magnesite deposit of the present invention.
FIG. 2 is a linear equation of the sum of the calcium magnesite and calcite contents and the manganese grade in core data according to the present invention.
FIG. 3 is an exponential nonlinear equation of the sum of the calcium magnesite and manganese calcite contents and manganese grade in core data according to the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and examples, which are not intended to limit the scope of the invention.
A method for rapidly predicting ore body component zoning of a hidden gas-liquid jet-over deposition type magnesite deposit is shown in a flow chart of fig. 1, and comprises the following specific steps:
(1) On the premise of ensuring that the information is not changed, the core data is subjected to standardized processing such as cleaning, transformation, regulation, detection and the like so as to facilitate the later data mining work, wherein the core data comprises the sum of drilling numbers, sample numbers, bubbles, sequential thin silicon veins, manganese grades, the contents of calcildups and manganese calcites and the like. The partial raw values of the core data are shown in the following table, in which the sum of manganese grade, calcildups and calcite content of each sample is recorded.
The singular values in the core data are particularly noted when the core data are normalized, and the core data are carefully treated on the basis of fully knowing the physical characteristics of the core data. The singular values have been deleted in this table, taking manganese grade as an example, with data values greater than 3000 deleted (i.e., outliers greater than 100 times the other corresponding data or less than 1/100 appear).
And (3) drawing all data pairs (x, y) of the reserved core sub-samples of all the drill holes into a two-dimensional scatter diagram, namely two-dimensional scatter diagrams in fig. 2 and 3 by using a data visualization tool by taking the manganese grade as an abscissa (independent variable x) and the sum of the contents of the calces and the manganites as an ordinate (dependent variable y). Then a linear relationship equation and/or a nonlinear relationship equation are established.
(2) The process of establishing the linear relation equation is as follows: and (3) establishing a linear relation equation of the sum of the contents of the calcilytic calcium and manganese in the core data and the manganese grade by using a linear regression method on the well-conditioned core data, and solving the core data to obtain clustering centers in the process of establishing the equation, wherein the data far away from the centers can be regarded as singular values (maximum value and minimum value), and deleting the clustering centers in the process of establishing the linear equation, as shown in fig. 2.
(3) The nonlinear relation equation is established as follows: in order to further and accurately study the relationship between the sum of the contents of the calces and the calcites and the manganese grade, a nonlinear regression method is utilized to establish a nonlinear relationship equation of two variables in core data. Core data key singular values (maximum, minimum) are also deleted during the establishment of the nonlinear equation. The built model can respectively use 2 times, n times, logarithm, index, compound and growth models (see formulas 1,2,3,4,5 and 6) to build equations according to the characteristics of the rock core data, and perform comparison analysis.
y＝β0+β1x+β2x2 (1)
y＝β0+β1x+β2x2+β3x3+…+βnxn (2)
y＝β0+β1ln(x) (3)
y＝β0+β1 x (5)
In order to ensure the validity of the established core data nonlinear equation, the equation is subjected to significance test, and the confidence coefficient is set to be 0.01.
(4) In the process of establishing the equation, a drawing tool is used for assisting in adjusting equation coefficients, so that the equation reflects the relation among variables more accurately, and reference is made to fig. 2 and 3.
(5) The linear equation (formula 7) and the exponential nonlinear equation (formula 8) finally determined according to fig. 2 and 3 in this embodiment are as follows:
f(x)＝0.3121*x-0.5942 (7)
f(x)＝8.414*exp(-((x-28.72)/13.59)2) (8)
And then comprehensively analyzing the established equation reflecting the relation between the sum of the contents of the calcium magnesite and the manganese calcite in the core data and the manganese grade, and under the condition that the manganese grade is known, calculating the contents of the calcium magnesite and the manganese calcite according to the relation between the sum of the contents of the calcium magnesite and the manganese calcite as the manganese grade parameter is required to be measured, so that the zoning of the ore body components of the magnesite deposit is completed, and the rapid delinking, the accuracy and the high efficiency are realized.
Claims (6)
1. A method for rapid prediction of the zonal segregation of ore body components of a concealed gas-liquid jet-over-deposit type magnesite deposit, comprising the steps of:
Step 1, in each large-scale ore deposit of a rhodochrosite ore collecting area, 3-5 representative holes are selected according to different thickness and manganese grades of a manganese-containing ore layer, sheets of core auxiliary samples are all reserved in the ore layer, the contents of calcium rhombohsite and manganese calcite are identified by carrying out sheet combination energy spectrum analysis on each core auxiliary sample, the sum of the contents of the calcium rhombohsite and the manganese calcite is taken, and meanwhile, the hole number, sample number, air bubbles, sequential thin silicon vein and manganese grade of each sheet are recorded and analyzed;
Step 2, carrying out data cleaning, data transformation and data protocol on the data of each core auxiliary sample of the representative drilling on the premise that the information is not changed, and deleting the data of the sum of the manganese grade data and the calcium magnesite and the manganese calcite of one core auxiliary sample when any parameter in the data of the manganese grade data or the sum of the calcium magnesite and the manganese calcite of the core auxiliary sample is confirmed to be a singular value;
Drawing all data pairs (x, y) of core auxiliary samples of all the drill holes reserved in the step 2 into a two-dimensional scatter diagram by taking the manganese grade as an abscissa (independent variable x) and the sum of the contents of the calcium magnesite and the manganese calcite as an ordinate (dependent variable y), and then selecting a proper fitting mathematical model or drawing into a curve diagram by utilizing a visual drawing tool according to the form of the scatter diagram;
step 4, in the model selected in the step 3, performing significance test on the model, setting the confidence coefficient to be 0.01, adjusting equation coefficients by using a visual drawing tool to enable the equation to reflect the relation among variables more accurately, and determining the equation coefficients, thereby determining a mathematical model of the correlation relation between the manganese grade and the sum of the calcium magnesite and manganese calcite contents;
and 5, predicting the content of the lime water chestnut and the manganese calcite in the ore deposit or the ore collection area by utilizing the mathematical model established in the step 4 and matching with the obtained rhodochrosite grade detection data.
2. The method for rapidly predicting the ore body composition zoning of a hidden gas-liquid jet-over-deposit type magnesite ore deposit of claim 1, which is characterized in that: the total number of flakes in step 1 is not less than 600.
3. The method for rapidly predicting the ore body composition zoning of a hidden gas-liquid jet-over-deposit type magnesite ore deposit of claim 1, which is characterized in that: the manganese grade in the step 1 refers to the sum of the contents of the calcium magnesite, the manganese calcite and the rhodochrosite.
4. The method for rapidly predicting the ore body composition zoning of a hidden gas-liquid jet-over-deposit type magnesite ore deposit of claim 1, which is characterized in that: and (3) confirming the singular value when the parameter in the step 2 is more than 100 times of other corresponding data or less than 1/100.
5. The method for rapidly predicting the ore body composition zoning of a hidden gas-liquid jet-over-deposit type magnesite ore deposit of claim 1, which is characterized in that: fitting the mathematical model in step 3 includes at least one, two, three, logarithmic, exponential, compound and growth curve models.
6. The method for rapidly predicting the ore body composition zoning of a hidden gas-liquid jet-over-deposit type magnesite ore deposit of claim 1, which is characterized in that: and 4, determining one or more mathematical models of the correlation relationship between the manganese grade and the sum of the calcium magnesite and the manganese calcite content.
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