CN114757508B - Ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model - Google Patents
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- 238000002386 leaching Methods 0.000 title claims abstract description 33
- 238000011065 in-situ storage Methods 0.000 title claims abstract description 30
- 229910052761 rare earth metal Inorganic materials 0.000 title claims abstract description 29
- 150000002910 rare earth metals Chemical class 0.000 title claims abstract description 28
- 238000001179 sorption measurement Methods 0.000 title claims abstract description 18
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- 239000011229 interlayer Substances 0.000 claims description 3
- 238000012876 topography Methods 0.000 claims description 3
- 239000010410 layer Substances 0.000 claims description 2
- 239000003673 groundwater Substances 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 8
- 230000000694 effects Effects 0.000 abstract description 4
- 229910052500 inorganic mineral Inorganic materials 0.000 abstract description 4
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- 238000007619 statistical method Methods 0.000 abstract 1
- 150000002500 ions Chemical class 0.000 description 9
- 238000000605 extraction Methods 0.000 description 4
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- 238000004519 manufacturing process Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
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- 150000001768 cations Chemical class 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000012452 mother liquor Substances 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
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- C22B3/00—Extraction of metal compounds from ores or concentrates by wet processes
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Abstract
The invention discloses an ion adsorption type rare earth ore in-situ leaching applicability evaluation method, which comprises the following steps: collecting geological data of ion adsorption type rare earth mine, aiming at mine development investigation adopting in-situ leaching exploitation, collecting factors influencing in-situ leaching exploitation by a system; analyzing and screening in-situ leaching influence factors, and dividing factor types according to mineral deposit geological conditions, hydrogeological conditions and engineering geological conditions; comprehensively judging the importance of the influencing factors by using an analytic hierarchy process and reasonably assigning the type coefficients according to the relative importance; summing the type coefficient values of all the influence factors to obtain a mine comprehensive index; and drawing a scatter diagram of the mine comprehensive index and the mine actual mining recovery rate by using a statistical method, and constructing an evaluation model according to the functional relation of the mine comprehensive index and the mine actual mining recovery rate. The invention is suitable for evaluating the exploitation effect of the ion adsorption type rare earth in-situ leaching process, and provides an important reference for the green and efficient development of the ore deposit.
Description
Technical Field
The invention belongs to the field of mine geology, and particularly relates to an ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model.
Background
Ion-adsorbed rare earth ore refers to a rare earth deposit in which cations of rare earth elements are in an exchangeable adsorption state and are stored in a weathered shell. The rule of "rare earth industry admission condition" formulated by the department of industrial informatization 7 months 2012: the development of the ionic rare earth ore adopts a production process which is suitable for resource and environmental protection requirements, such as in-situ leaching, and the like, and adopts a laggard ore dressing process which is forbidden to be used in countries such as heap leaching, pool leaching, and the like. However, the in-situ leaching exploitation effect is mainly limited by mine geological conditions, such as ore deposit geological conditions, hydrogeological conditions and engineering geological conditions, when the mine geological conditions are poor, particularly structural fissures develop in a complex way, the leakage of a bottom plate is serious, the mother liquor recovery rate is directly influenced, or the mine permeability is poor, and the mineral leaching agent with complex mineral forms cannot effectively soak rich mineral parts to form a soaking blind area, at the moment, if the in-situ leaching exploitation process is selected blindly, resources cannot be effectively recovered, and even serious environmental pollution is easily caused. Therefore, the geological conditions of the mine need to be ascertained in detail before mining, and the mining process is reasonably selected according to the geological conditions.
Disclosure of Invention
The invention aims to provide an ion adsorption type rare earth ore in-situ leaching applicability evaluation method which is suitable for evaluating the exploitation effect of an ion adsorption type rare earth in-situ leaching process and provides an important reference for green and efficient development of the ore deposit.
In order to solve the technical problems, the technical scheme of the invention is as follows: an ion adsorption type rare earth ore in-situ leaching applicability evaluation method comprises the following steps:
s1, collecting influencing factors of in-situ leaching mining by a system;
S2, analyzing and screening each influence factor, and dividing the factor types;
S3, analyzing the relative importance of each influence factor and giving corresponding type coefficients;
S4, summing type coefficients corresponding to all influence factors to obtain a comprehensive index;
And S5, establishing a correlation relation between the comprehensive index and the mining recovery rate of the mine, and constructing a geological evaluation model according to a function relation between the comprehensive index and the mining recovery rate of the mine.
According to the scheme, the influence factors of the in-situ leaching mining in S1 at least comprise structural crack development condition, mine bottom plate condition and ore permeability, relative relation between the underground water level and the bottom plate, weathering crust interlayer rate, average ore body grade, ore body form complexity degree, ore body thickness, ore body inclination angle, topography height difference and the like.
According to the scheme, all influence factors are analyzed as described in S2, the influence factors are analyzed and screened around the mining recovery rate of the mine, and the factors are divided according to the geological conditions of the deposit, the hydrogeological conditions and the engineering geological conditions.
According to the scheme, the relative importance analysis and type coefficient assignment of the influence factors in the step S3 are determined by carrying out pairwise comparison analysis on the influence factors through a hierarchical analysis method, all the influence factors are divided into a main influence factor, a secondary main influence factor and a secondary influence factor, and the evaluation grades of the influence factors are respectively divided into three layers of good, general and poor; wherein the type coefficient values of the primary influencing factors are set to 0.9, 0.6 and 0.3 according to good, general and poor, respectively, the type coefficient values of the secondary influencing factors are set to 0.6, 0.4 and 0.2 according to good, general and poor, respectively, and the type coefficient values of the secondary influencing factors are set to 0.3, 0.2 and 0.1 according to good, general and poor, respectively.
According to the scheme, the comprehensive index in S4 is obtained by summing the type coefficients of all the influencing factors on the basis of S3.
According to the scheme, the geological evaluation model in S5 is obtained by drawing a scatter diagram of the comprehensive mine index and the actual mining recovery rate of the mine in S4.
Also provided is an ion-adsorption type rare earth ore in-situ leaching adaptability evaluation model which is constructed according to the ion-adsorption type rare earth ore in-situ leaching adaptability evaluation method.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, geological factors influencing ion adsorption type rare earth mine in-situ leaching mining are collected and screened, the relative importance of all influence factors is ranked by using a hierarchical analysis method, the influence factors are classified according to good, general and poor, the influence factors are assigned according to experience, the experience values of the influence factors are accumulated to obtain a comprehensive index, and an inherent relation between the comprehensive index and the mine mining recovery rate is established, so that a geological model suitable for evaluating the in-situ leaching process mining effect of ion adsorption type rare earth is finally provided, and an important reference is provided for green development of the ore deposit.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of the present invention;
FIG. 2 is a graph showing the relationship between the overall index of geological factors of the mine and the mining recovery rate in the embodiment of the invention;
FIG. 3 is a graph showing the actual recovery rate of the mine and the calculated recovery rate in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
(1) In situ leaching influence factor analysis
Referring to fig. 1 to 3, the relative importance degree relation among mining recovery rate influence factors is comprehensively analyzed at this time, 3 main influence factors, 3 secondary main influence factors and 4 secondary influence factors are analyzed. The main influencing factors are as follows: constructing crack development condition, bottom plate condition and ore permeability; secondary major influencing factors: the relative relation between the underground water level and the bottom plate, the interlayer rate (uniformity) of the weathered crust, and the average grade of ore bodies; secondary influencing factors: the form complexity of ore bodies, the thickness of the ore bodies, the inclination angle of the ore bodies (mountain inclination angle) and the topography height difference. And the corresponding quantitative representation is carried out on each factor, and the corresponding type coefficient is given. The assignment of each influencing factor is shown in Table 1.
TABLE 1 ion adsorption type rare earth ore in-situ leaching process influence factor type coefficient dividing table
(2) Preliminary model building
Production data of 14 rare earth mines have been collected as typical ore deposits since 2012 this time, and field investigation is conducted on the production lump selection portion of the 14 mines. By investigation, the mining recovery factor analysis of 14 typical deposits is detailed in table 2, and the comprehensive index calculation results are shown in table 3.
TABLE 2 ion adsorption rare earth mine mining recovery factor analysis table
Table 3 table of results of calculation of comprehensive index of ion-adsorbed rare earth mine
Table 4 mine comprehensive index and actual mining recovery data sheet
| Sample of | Mining recovery rate | Comprehensive index | Sample of | Mining recovery rate | Comprehensive index |
| Sample 1 | 90.40 | 5.0 | Sample 13 | 84.70 | 3.8 |
| Sample 2 | 90.97 | 5.3 | Sample 14 | 84.65 | 4.0 |
| Sample 3 | 90.00 | 5.0 | Sample 15 | 84.65 | 4.0 |
| Sample 4 | 92.20 | 5.4 | Sample 16 | 84.96 | 4.4 |
| Sample 5 | 90.20 | 5.2 | Sample 17 | 85.69 | 4.1 |
| Sample 6 | 92.24 | 5.2 | Sample 18 | 85.34 | 4.3 |
| Sample 7 | 90.33 | 5.0 | Sample 19 | 84.82 | 4.2 |
| Sample 8 | 90.86 | 5.0 | Sample 20 | 85.59 | 4.1 |
| Sample 9 | 91.52 | 5.2 | Sample 21 | 88.28 | 5.0 |
| Sample 10 | 84.50 | 4.0 | Sample 22 | 86.44 | 4.2 |
| Sample 11 | 87.11 | 4.4 | Sample 23 | 84.09 | 4.0 |
| Sample 12 | 88.45 | 4.5 | Sample 24 | 87.94 | 4.8 |
The comprehensive indexes of the mines and the actual mining recovery rate data are shown in table 4, and a scatter diagram is drawn from the comprehensive indexes of the 14 mining areas and the mining recovery rate. It can be seen from fig. 2 that there is a significant linear relationship between the overall index of mine geological factors and the mining recovery V.
Solving to obtain a geological model:
V＝5.253x+63.64
wherein x is the comprehensive index of the geological factors of the mine, and V is the mining recovery rate calculated by the mine.
(3) Model verification
The mining recovery rate of each sample was calculated using the geologic model formula obtained by the method described above, and the results are shown in Table 5.
TABLE 5 actual mining recovery and calculated mining recovery comparison results Table
From the above table, the average value of the actual mining recovery rate of the mine was 87.56%, the average value of the calculated mining recovery rate was 87.74%, the variance of the deviation rate was 0.00009, and the standard deviation was 0.00967. According to the actual mining extraction rate of the mine and the calculated mining extraction rate, a line graph is drawn, and according to fig. 3, the fact that the actual mining extraction rate of the mine is well matched with the calculated mining extraction rate line shows that a geological evaluation model constructed by the method is reliable.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The method for evaluating the in-situ leaching applicability of the ion adsorption type rare earth ore is characterized by comprising the following steps of:
s1, collecting influencing factors of in-situ leaching mining by a system;
S2, analyzing and screening each influence factor, and dividing the factor types;
S3, analyzing the relative importance of each influence factor and giving corresponding type coefficients;
S4, summing type coefficients corresponding to all influence factors to obtain a comprehensive index;
s5, establishing a correlation relation between the comprehensive index and the mining recovery rate of the mine, and constructing a geological evaluation model according to a functional relation between the comprehensive index and the mining recovery rate of the mine;
S3, carrying out pairwise comparison analysis on the influence factors by using a hierarchical analysis method to determine the relative importance analysis and type coefficient assignment of the influence factors, dividing all the influence factors into main influence factors, secondary main influence factors and secondary influence factors, and dividing the evaluation grades of the influence factors into three layers of good, general and poor; wherein the type coefficient values of the primary influencing factors are set to 0.9, 0.6 and 0.3 according to good, general and poor, respectively, the type coefficient values of the secondary influencing factors are set to 0.6, 0.4 and 0.2 according to good, general and poor, respectively, and the type coefficient values of the secondary influencing factors are set to 0.3, 0.2 and 0.1 according to good, general and poor, respectively.
2. The method according to claim 1, wherein the factors affecting the in-situ leaching exploitation of rare earth ore in S1 include at least the development of structural fissures, the condition of the mine floor and the permeability of the ore, the relative relationship between the groundwater level and the floor, the interlayer rate of weathering crust, the average grade of ore body, the complexity of the form of ore body, the thickness of ore body, the inclination angle of ore body and the topography height difference.
3. The method for evaluating the in-situ leaching applicability of ion-adsorbing rare earth ores according to claim 1, wherein each influencing factor is analyzed in step S2, the influencing factors are analyzed and screened around the mining recovery rate of the mine, and the factors are classified according to the geological conditions of the ore deposit, the hydrogeological conditions and the engineering geological conditions.
4. The method for evaluating the in-situ leaching applicability of an ion-adsorbing rare earth ore according to claim 1, wherein the integrated index in S4 is a sum of type coefficients of all influencing factors on the basis of S3.
5. The method for evaluating the in-situ leaching applicability of the ion adsorption type rare earth ore according to claim 1, wherein the geological evaluation model in the step S5 is characterized in that a scatter diagram is drawn on the comprehensive index in the step S4 and the actual mining recovery rate of the mine, so that a functional relation between the comprehensive index and the actual mining recovery rate of the mine is obtained.
6. An ion-adsorbing rare earth ore in-situ leaching applicability evaluation model, characterized in that it is constructed using an ion-adsorbing rare earth ore in-situ leaching applicability evaluation method according to any one of claims 1 to 5.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013120689A1 (en) * | 2012-02-16 | 2013-08-22 | Cp Kelco Oy | Mineral ore flotation using carboxymethyl cellulose with different characteristics in different flotation cells |
| WO2014043771A1 (en) * | 2012-09-20 | 2014-03-27 | Smp Do Barsil Pesquisa Mineral Ltda. | Piezoelectric lamella concentrator equipment and process for fine mineral ores and corresponding separation/concentration circuit |
| CA2957708A1 (en) * | 2016-02-12 | 2017-08-12 | Suncor Energy Inc. | Method and system for dispatching a haulage vehicle at a mining site |
| CN107766999A (en) * | 2016-08-18 | 2018-03-06 | 中核第四研究设计工程有限公司 | A kind of integrated evaluating method of sandrock-type uranium deposit utilization |
| CN108399497A (en) * | 2018-02-11 | 2018-08-14 | 煤炭工业济南设计研究院有限公司 | A kind of Striping noise goaf stability assessment method |
| CN109636104A (en) * | 2018-11-06 | 2019-04-16 | 青岛理工大学 | The integrated evaluating method of quality of mining geological environment development law |
| CN110837701A (en) * | 2019-11-12 | 2020-02-25 | 中南大学 | Mining area bottom plate fault water inrush quantitative evaluation method based on full-coupling analysis |
| CN111472764A (en) * | 2020-04-13 | 2020-07-31 | 西南石油大学 | Method for calculating recovery rate of rich gas in rich gas flooding process |
| CN112329972A (en) * | 2020-07-22 | 2021-02-05 | 矿冶科技集团有限公司 | Water environment capacity-based ionic rare earth mining prediction method and system |
| CN112651579A (en) * | 2021-01-18 | 2021-04-13 | 矿冶科技集团有限公司 | Flotation recovery rate prediction method based on ore gene characteristics |
-
2022
- 2022-03-29 CN CN202210323037.2A patent/CN114757508B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013120689A1 (en) * | 2012-02-16 | 2013-08-22 | Cp Kelco Oy | Mineral ore flotation using carboxymethyl cellulose with different characteristics in different flotation cells |
| WO2014043771A1 (en) * | 2012-09-20 | 2014-03-27 | Smp Do Barsil Pesquisa Mineral Ltda. | Piezoelectric lamella concentrator equipment and process for fine mineral ores and corresponding separation/concentration circuit |
| CA2957708A1 (en) * | 2016-02-12 | 2017-08-12 | Suncor Energy Inc. | Method and system for dispatching a haulage vehicle at a mining site |
| CN107766999A (en) * | 2016-08-18 | 2018-03-06 | 中核第四研究设计工程有限公司 | A kind of integrated evaluating method of sandrock-type uranium deposit utilization |
| CN108399497A (en) * | 2018-02-11 | 2018-08-14 | 煤炭工业济南设计研究院有限公司 | A kind of Striping noise goaf stability assessment method |
| CN109636104A (en) * | 2018-11-06 | 2019-04-16 | 青岛理工大学 | The integrated evaluating method of quality of mining geological environment development law |
| CN110837701A (en) * | 2019-11-12 | 2020-02-25 | 中南大学 | Mining area bottom plate fault water inrush quantitative evaluation method based on full-coupling analysis |
| CN111472764A (en) * | 2020-04-13 | 2020-07-31 | 西南石油大学 | Method for calculating recovery rate of rich gas in rich gas flooding process |
| CN112329972A (en) * | 2020-07-22 | 2021-02-05 | 矿冶科技集团有限公司 | Water environment capacity-based ionic rare earth mining prediction method and system |
| CN112651579A (en) * | 2021-01-18 | 2021-04-13 | 矿冶科技集团有限公司 | Flotation recovery rate prediction method based on ore gene characteristics |
Non-Patent Citations (2)
| Title |
|---|
| Evaluation of the use of sublevel open stoping in the mining of moderately dipping medium-thick orebodies;Shuai Xu et al.;《International Journal of Mining Science and Technology》;20210104;第31卷;第333-346页 * |
| 离子型稀土原地浸矿开采技术适用性评价与分类;赵彬;《矿冶工程》;20170630;第37卷(第3期);第6-10页 * |
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