CN107766999A - A kind of integrated evaluating method of sandrock-type uranium deposit utilization - Google Patents
A kind of integrated evaluating method of sandrock-type uranium deposit utilization Download PDFInfo
- Publication number
- CN107766999A CN107766999A CN201610683205.3A CN201610683205A CN107766999A CN 107766999 A CN107766999 A CN 107766999A CN 201610683205 A CN201610683205 A CN 201610683205A CN 107766999 A CN107766999 A CN 107766999A
- Authority
- CN
- China
- Prior art keywords
- factor
- deposit
- evaluation
- class
- membership
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 229910052770 Uranium Inorganic materials 0.000 title claims abstract description 32
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 title claims abstract description 32
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 90
- 239000011707 mineral Substances 0.000 claims abstract description 90
- 238000011156 evaluation Methods 0.000 claims abstract description 71
- 238000011161 development Methods 0.000 claims abstract description 17
- 230000018109 developmental process Effects 0.000 claims abstract description 17
- 238000005065 mining Methods 0.000 claims abstract description 5
- 230000033558 biomineral tissue development Effects 0.000 claims abstract description 4
- 239000011159 matrix material Substances 0.000 claims description 34
- 230000001568 sexual effect Effects 0.000 claims description 25
- 230000007613 environmental effect Effects 0.000 claims description 20
- 238000002386 leaching Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 10
- 230000002596 correlated effect Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 7
- 238000007619 statistical method Methods 0.000 claims description 7
- 238000009854 hydrometallurgy Methods 0.000 claims description 5
- 238000007596 consolidation process Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000029087 digestion Effects 0.000 claims description 3
- 239000003673 groundwater Substances 0.000 claims description 3
- 238000011065 in-situ storage Methods 0.000 claims description 3
- 230000035699 permeability Effects 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 239000002352 surface water Substances 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 239000012141 concentrate Substances 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 claims description 2
- 230000004888 barrier function Effects 0.000 claims 1
- 201000004569 Blindness Diseases 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000013139 quantization Methods 0.000 abstract description 2
- 238000012216 screening Methods 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 210000003484 anatomy Anatomy 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- Animal Husbandry (AREA)
- General Health & Medical Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Marine Sciences & Fisheries (AREA)
- Agronomy & Crop Science (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention belongs to uranium mining technical field, and in particular to a kind of integrated evaluating method of sandrock-type uranium deposit utilization.Technical scheme：The present invention evaluates preliminary screening by restriction and goes out to influence the conditionality factor of the evaluation of deposits, avoids the factor that veto by one vote be present because of mineral deposit, and causes to evaluate mistake；The quantization that performance quality situation is developed to sandrock-type uranium deposit is realized by comprehensive evaluation, it is possible to achieve the globality of sandrock-type uranium deposit development effectiveness is judged, guiding opinion can be provided for the development decision-making on sandstone-type uranium mineralization with respect mountain.Beneficial effect：The present invention sandrock-type uranium deposit utilization integrated evaluating method have the characteristics that system is comprehensive, logic is rigorous, result accurately and reliably, applicability it is wide, it can not be put into mine and carry out overall evaluation before building to mineral deposit, the blindness of mineral deposit exploitation at initial stage is avoided, reduces the degree of risk of deposit exploitation.
Description
Technical field
The invention belongs to uranium mining technical field, and in particular to a kind of overall merit of sandrock-type uranium deposit utilization
Method.
Background technology
For a long time, the research on uranium deposit exploitation is set mainly around production practice, mine engineering, boundary optimization
Meter, production management etc. expansion, lack early stage in deposit exploitation in mineral deposit and external factor overall merit, so as to
The error in development decision-making is caused, such as：The not so good mineral deposit of condition is due to having carried out substantial amounts of exploitation preparation early stage, very
To having put into operation or gone into operation, but in terms of the policy, due to environmental protection aspect or external condition etc., restrict the later stage
Go into operation or up to production, it is difficult to reach expected economic effect, ultimately caused huge human and material resources and wasted and property loss.Cause
This, in deposit exploitation early stage or process of construction, deploys the research of the factor to influenceing deposit exploitation, establishes complete set
Evaluation method, guidance is provided for the development decision-making in mineral deposit, there is very important realistic meaning to the whole development in mineral deposit.
The successive discovery of a collection of sandrock-type uranium deposit in the north and the submission of prospecting results so that build the ground big base of leaching uranium ore
It is possibly realized.However, the occurrence condition difference in these mineral deposits is larger, the degree of reconnoitring differs, and each mineral deposit is in geological conditions, resource
Natural endowment, natural ecological environment, outside complementary conditions etc. have differences, and this just influences from different aspect, to varying degrees
The development plan in these sandrock-type mineral deposits, wet-process metallurgy craft, leaching pattern etc., the final economic benefit for influenceing deposit exploitation.Cause
This, in order to quickly and conveniently realize the judgement to the exploitability and economic benefit in mineral deposit, it is necessary to design a set of judge side
Method, the instrument as evaluation mineral deposit exploitability.
The content of the invention
The problem of it is an object of the invention to exist for prior art, there is provided a kind of sandrock-type uranium deposit utilization
Integrated evaluating method.
Realize that the technical scheme of the object of the invention is as follows：
A kind of integrated evaluating method of sandrock-type uranium deposit utilization, in turn includes the following steps：
Step 1. collects deposit exploitation and utilizes influence factor data；
Step 2. is analyzed the Technological Economy factor of the influence deposit exploitation in step 1 data collection, builds mineral deposit
Set of factors U={ the u of appraisement system1 u2 … unAnd evaluate collection V={ v1 v2 … vm}；
Step 2.1 establishes the set of factors U of evaluation of deposits system
The set of factors U of evaluation of deposits system includes resources supplIes, leaching techniques condition, hydrometallurgy technical conditions, outside construction
Condition, environmental protection condition and social condition, the data that step 1 is collected according to the set of factors of evaluation of deposits system classify whole
Reason；
Step 2.2 establishes the evaluate collection V of evaluation of deposits system
Opinion rating is divided into I, II, III, IV, V 5 classes by the evaluate collection of evaluation of deposits system, to form commenting for mineral deposit
Valency collection, it is represented respectively, and the exploitability in mineral deposit is good, preferable, general, big, the i.e. V={ I II III that certain difficulty, difficulty be present
IV V }={ v1 v2 v3 v4 v5 }；
Step 3. establishes set of factors U weight sets W={ w using analytic hierarchy process (AHP)1 w2 … wm}；
Step 4. is using triangle membership function to the factor u in set of factors Ui(i=1,2,3 ..., m) judges, it is determined that
The factor is to comment vjThe degree of membership of (j=1,2,3,4,5), calculate factor uiDegree of membership be ri={ ri1 ri2 … rin}；Comment
Factor in valency set of factors U is divided into two kinds of quantitative factor and qualitative factor, calculates quantitative factor using triangle membership function, adopts
The degree of membership of qualitative factor is calculated with fuzzy statistical method；
Soak deposit exploitation Fuzzy Synthetic Evaluation for Performance in step 5. ground
The single factor test degree of membership r determined according to step 4i, subordinated-degree matrix R of the set of factors relative to evaluate collection is thus constituted,
Then the weight matrix W of each factor is established according to step 3, the development response evaluation result in mineral deposit is
Wherein ο represents fuzzy operator；According to maximum membership grade principle, combining assessment concentrates the description to each opinion rating, judges mineral deposit
Whole development effect.
Restriction evaluation is carried out before the step 1, restriction evaluation in turn includes the following steps：
Step 1. collects deposit exploitation conditionality factor data, and conditionality factor includes can ground leaching property, environmental protection condition and political affairs
Plan guarantee；
Step 2. analyses item by item to the conditionality factor in mineral deposit,
Step 2.1 can ground leaching property analysis
The essential information in mineral deposit is investigated, by evaluating soak performance key index with influenceing sandrock-type mineral deposit, from
Judge whether mineral deposit can use in-situ leach mining on the whole；
Step 2.2 environmental protection condition is analyzed
By investigating the ecological environmental condition on mineral deposit periphery, judge whether to restrict the environmental factor of deposit exploitation；
Step 2.3 policy and social condition analysis
By understanding country and local policy, and seek advice from local offices, investigate mineral deposit exploitation whether with every political affairs
There is conflict in plan, understand whether government department and local resident oppose to deposit exploitation, judge in policy and all sectors of society
Attitude on the presence or absence of restrict deposit exploitation situation；
Analyse item by item result of the step 3. according to step 2 to conditionality factor, judges that deposit exploitation whether there is restriction
Condition；When one is judged as "Yes" in step 2.1 to step 2.3, then judgement mineral deposit be able to wouldn't be developed at present, and evaluation stops；When
It is every in step 2.1 to step 2.3 to be judged as "No", then carry out next step.
In the step 2.1, soaking the key index of performance with influenceing sandrock-type mineral deposit includes the permeability in mineral deposit, water proof top
Situation, square meter uranium amount, degree of consolidation, the degree of mineralization of ground water, orebody buried depth and the ore leaching effect of bottom plate；The step 2.2
In, the ecological environmental condition on mineral deposit periphery include air, surface water, underground water, land status, with the presence or absence of digestion in water bath,
Nature reserve area and scenic spot.
The analytic hierarchy process (AHP) of the step 3 in turn includes the following steps：
The set of factors U of the clear and definite step 2.1 of step 3.1 hierarchical relationship, establishes hierarchical structure；
Step 3.2 construction compares scale, establishes judgment matrix A
Compare scale according to 1~9, the factor of each level in set of factors U is compared to each other, constructs judgment matrix
A=(aij)n×n, then calculated according to the following steps,
Step 3.2.1 first will determine that each row of matrix A are normalized, and obtain matrix B=(bij)n×n；Then square is pressed
Battle array B row summation obtains column vector W=(w1, w1..., wn) T, i.e.,
I=1,2 ..., n, wherein,I, j=1,2 ..., n；
Weight sets W is normalized step 3.2.2,Obtain the weight matrix of factor of evaluation；
Step 3.2.3 calculates the eigenvalue of maximum λ for the weight matrix for judging factor of evaluationmax,
Step 3.3 Mode of Level Simple Sequence and consistency check
As random consistency ration CRDuring=C/R ＜ 0.1, judgment matrix A inconsistency is subjected to, and otherwise must be adjusted
Judgment matrix A, untill consistency check is met；Wherein C is consistency check index, C=(λmax- n)/(n-1), n is to sentence
Disconnected order of matrix number, R is Aver-age Random Consistency Index.
The value of the Aver-age Random Consistency Index R is as shown in table 1
The Aver-age Random Consistency Index R values of table 1
Triangle membership function method in the step 4 in turn includes the following steps：
Step 4.1 calculates quantitative factor using triangle membership function,
Quantitative factor includes linear factor and appropriate sexual factor, and linear factor includes positive correlation factor and negatively correlated factor,
Appropriate sexual factor includes convex appropriateness sexual factor and spill appropriateness sexual factor；
Step 4.1.1 linear factors
According to linear factor membership function curve, x1=(3a-b)/2, x2=(a+b)/2, x3=(b+c)/2, x4=(c
+ d)/2, x5=(3d-c)/2, wherein a ＜ b ＜ c ＜ d, a, b, c, d is respectively opinion rating class interval point, and linear factor is commented
The division of valency grade as shown in table 2 and table 3,
The positive correlation factor of table 2
| Opinion rating | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
| Factor range | x≥d | c≤x<d | b≤x<c | a≤x<b | x<a |
3 negatively correlated factor of table
| Opinion rating | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
| Factor range | x<a | a≤x<b | b≤x<c | c≤x<d | x≥d |
The mathematic(al) representation of the membership function of linear factor is as follows, and the degree of membership of negatively correlated factor is represented in bracket
Function expression：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Step 4.1.1.1 works as x1≤ minimum limit value xminWhen, then make x1=xmin, so formula (5) formula is rewritten as：
V (I) class：
Step 4.1.1.2 works as x5>=maximum limit value xmaxWhen, then make x5=xmax, so formula (1) is rewritten as：
I (V) class：
Step 4.1.2 appropriateness sexual factors
The division of appropriate sexual factor opinion rating is as shown in table 4 and table 5, according to adaptability membership of factor function curve,
x1=(3a-b)/2, x2=(a+b)/2, x3=(b+c)/2, x4=(c+d)/2, x5=(3d-c)/2, x6=(3e-f)/2, x7=
(e+f)/2, x8=(f+g)/2, x9=(g+h)/2, x10=(3h-g)/2, wherein a ＜ b ＜ c ＜ d ＜ e ＜ f ＜ g ＜ h, a, b,
C, d, e, f, g, h are respectively opinion rating class interval point,
The spill appropriateness factor of table 4
The convex appropriateness factor of table 5
The mathematic(al) representation of appropriate sexual factor membership function is as follows, and being subordinate to for spill appropriateness factor is represented in bracket
Spend function expression：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Step 4.1.2.1 works as x5≥x6When, then x5And x62 points are merged into a bit, nowThen (8)
Formula is rewritten as：
I (V) class：
Step 4.1.2.2 works as x1≤ minimum limit value xminWhen, then make x1=xmin, so first three formula is rewritten as in (12)：
V (I) class：
Step 4.1.2.3 works as x10>=maximum limit value xmaxWhen, then make x10=xmax, so three formulas are rewritten as after in (12)：
V (I) class：
Fuzzy statistical method in the step 4 in turn includes the following steps,
Step 4.2 calculates the degree of membership of qualitative factor using fuzzy statistical method
Step 4.2.1 chooses n position experts for a certain qualitative factor, asks n positions expert according to the professional knowledge of oneself
And practical experience, according to the division principle of five grades, its division principle for thinking standard is provided, n group judgment criteria is obtained；
Qualitative descriptions of the step 4.2.2 by estimator according to mineral deposit, and the standard provided with reference to every expert, to factor
Grade is judged one by one, and the number for obtaining being judged as grade k (k=I, II, III, IV, IV) is xk, then
Then step 4.2.3 counts the probable value of each level evaluation, probable value is the degree of membership of the factor, is corresponded to
Grade k degree of membership is rik=xk/ n, so, the membership vector of qualitative factor is ri={ ri1 ri2 … ri5}。
The span of quantitative factor opinion rating is as shown in the table of table 6 in the set of factors,
The span of the quantitative factor opinion rating of table 6
The beneficial effects of the present invention are：
The present invention evaluates preliminary screening by restriction and goes out to influence the conditionality factor of the evaluation of deposits, avoids because mineral deposit is present
The factor of veto by one vote, and cause to evaluate mistake；Realized by comprehensive evaluation and performance quality is developed to sandrock-type uranium deposit
The quantization of situation.Globality judgement to sandrock-type uranium deposit development effectiveness can be realized using this method, can be sandrock-type
The development decision-making of uranium mine provides guiding opinion.The integrated evaluating method of the sandrock-type uranium deposit utilization of the present invention has
System is comprehensive, logic is rigorous, result accurately and reliably, the features such as applicability is wide, can not put into mine before construction to mineral deposit
Overall evaluation is carried out, avoids the blindness of mineral deposit exploitation at initial stage, reduces the degree of risk of deposit exploitation.
Brief description of the drawings
Fig. 1 is linear factor membership function curve map；
Fig. 2 is appropriate sexual factor membership function figure；
Fig. 3 is the schematic flow sheet of the present invention.
Embodiment
Technical scheme is further described below in conjunction with the accompanying drawings.
Present embodiments provide a kind of integrated evaluating method of sandrock-type uranium deposit utilization, its flow such as Fig. 3 institutes
Show, successively including restriction evaluation and two stages of comprehensive evaluation, comprise the following steps that：
First stage restriction is evaluated
Restriction evaluation refers to evaluate the conditionality factor for influenceing deposit exploitation.Restriction evaluation phase wraps successively
Include following steps：
Step 1. collects deposit exploitation conditionality factor data；Conditionality factor in the present embodiment mainly includes following three
Individual aspect：First, can ground leaching property；2nd, environmental protection condition；3rd, policy safeguard.
Step 2. to mineral deposit can the conditionality factors of three aspects such as ground leaching property, environmental protection condition and policy safeguard divide
Analysis；
Can ground leaching property be to investigate the essential information in mineral deposit, invite associated specialist to the permeability in mineral deposit, water proof roof and floor
Situation, square meter uranium amount, degree of consolidation, the degree of mineralization of ground water, orebody buried depth, ore leaching effect etc. soak with influenceing sandrock-type mineral deposit
The key index of performance is evaluated, and judges whether mineral deposit can use in-situ leach mining on the whole；
Environmental protection condition is the ecological environmental condition by investigating mineral deposit periphery, such as air, surface water, underground water, soil
Property, with the presence or absence of digestion in water bath, nature reserve area and scenic spot etc., judge whether to restrict the ring of deposit exploitation
Border factor；
Policy and social condition are by understanding country and local policy, and seeking advice from local offices, investigate mineral deposit
Whether exploitation exists with every policy conflicts, and understands government department and whether local resident opposes to deposit exploitation, judge in political affairs
It whether there is in plan and in the attitude of all sectors of society the situation for restricting deposit exploitation.
Analyse item by item result of the step 3. according to step 2 to conditionality factor, judges that deposit exploitation whether there is restriction
Condition；
When one is judged as "Yes" in step 2.1 to step 2.3, it is believed that restriction in one aspect be present in mineral deposit, and
The difficulty of solution is very big, then judges that mineral deposit be able to wouldn't be developed at present, evaluation stops；Sentence when every in step 2.1 to step 2.3
Break as "No", then carry out ground leaching deposit exploitation and utilize influence factor data collection, further the meter in development comprehensive evaluation stage
Calculate.
Second stage comprehensive evaluation
Comprehensive evaluation refers to evaluate the exploitability in mineral deposit using the method for fuzzy comprehensive evoluation.It is comprehensive to comment
The valency stage in turn includes the following steps：
Step 4. is analyzed the Technological Economy factor for influenceing deposit exploitation, builds the set of factors U of evaluation of deposits system
={ u1 u2 … unAnd evaluate collection V={ v1 v2 … vm}；
Step 4.1 establishes the set of factors U of evaluation of deposits system
The set of factors U of evaluation of deposits system includes the content of six aspects altogether：First, resources supplIes；2nd, leaching techniques bar
Part；3rd, hydrometallurgy technical conditions；4th, outside construction condition；5th, environmental protection condition；6th, social condition.By overall merit data according to
Resources supplIes, leaching techniques condition, hydrometallurgy technical conditions, outside construction condition, environmental protection condition and social condition classify whole
Reason.This six aspect again contain respective factor, the set of factors of the present embodiment is as shown in table 1, resources supplIes include 5 because
Element；Leaching techniques condition includes 13 factors；Hydrometallurgy technical conditions include 2 factors；Outside construction condition includes 12 factors；
Environmental protection condition includes 8 factors；Social condition includes 5 factors.
The appraisement system set of factors system of table 1
The set of factors of appraisement system is established by this step and completed, set of factors is the base calculated as subsequent evaluation
Plinth.
Step 4.2 establishes the evaluate collection V of evaluation of deposits system
Opinion rating is divided into I, II, III, IV, V 5 classes by the evaluate collection in mineral deposit, to form the evaluate collection in mineral deposit, its point
The exploitability that does not represent mineral deposit is good, preferable, general, certain difficulty, difficulty to be present big, i.e. and V={ I II III IV V }=
{v1 v2 v3 v4 v5, the description of each opinion rating is as shown in table 2.
The fuzzy evaluation classification grade of table 2
The evaluate collection V of appraisement system is established by this step and completed, evaluate collection V is to calculate each factor in set of factors
The basis of degree of membership.
Step 5. establishes set of factors U weight sets W={ w using analytic hierarchy process (AHP)1 w2 … wm, mainly comprise the following steps：
The clear and definite set of factors U of step 5.1 hierarchical relationship, establishes hierarchical structure
The hierarchical relationship of the evaluation of deposits is established in the set of factors of evaluation and completed, as shown in table 1.
Step 5.2 construction compares scale, establishes judgment matrix A
Compare scale according to 1~9, the factor of each level in set of factors U is compared to each other, constructs judgment matrix
A=(aij)n×n, then calculated according to the following steps：
Step 5.2.1 first will determine that each row of matrix A are normalized, and obtain matrix B=(bij)n×n；Then square is pressed
Battle array B row summation obtains column vector W=(w1, w1..., wn) T, i.e.,
I=1,2 ..., n, wherein,I, j=1,2 ..., n
Weight sets W is normalized step 5.2.2,Obtain the weight matrix of factor of evaluation；
Step 5.2.3 calculates the eigenvalue of maximum λ for the weight matrix for judging factor of evaluationmax,
Step 5.3 Mode of Level Simple Sequence and consistency check
As random consistency ration CRDuring=C/R ＜ 0.1, judgment matrix A inconsistency is subjected to, and otherwise must be adjusted
Judgment matrix A, untill consistency check is met.Wherein C is consistency check index, C=(λmax- n)/(n-1), n is to sentence
Disconnected order of matrix number, R is Aver-age Random Consistency Index, as shown in table 3.
The Aver-age Random Consistency Index value of table 3
| n | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| R | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 | 1.51 |
Just the weight matrix W of each factor is established by this step, the basic data as fuzzy overall evaluation.
Step 6. is using triangle membership function to the factor u in set of factors Ui(i=1,2,3 ..., m) judges, it is determined that
The factor is to comment vjThe degree of membership of (j=1,2,3,4,5), calculate factor uiDegree of membership be ri={ ri1 ri2 … rin}；
Step 6.1 calculates quantitative factor degree of membership ri
Factor in factor of evaluation collection U is divided into two kinds of quantitative factor and qualitative factor, and quantitative factor uses triangle degree of membership
Function is calculated.Quantitative factor is divided into two kinds of linear factor and appropriate sexual factor, linear factor be divided into again positive correlation factor and
Negatively correlated factor, appropriate sexual factor are divided into convex appropriateness sexual factor and spill appropriateness sexual factor again.Just (negative) correlative factor refers to
Factor improves (variation) with the increase of its parameter value.Appropriate sexual factor refers to that the parameter value of factor is reaching a certain feature
(most bad) optimal during value, then opinion rating be gradually deteriorated and (improve) with the gradual increase and reduction of factor parameter value.
Step 6.1.1 linear factors
The division of linear factor opinion rating is as shown in table 2 and table 3.Membership function curve is as shown in figure 1, figure bracket
The interior membership function curve for representing negatively correlated factor, x in figure1=(3a-b)/2, x2=(a+b)/2, x3=(b+c)/2, x4=
(c+d)/2, x5=(3d-c)/2, wherein a ＜ b ＜ c ＜ d, a, b, c, d are respectively opinion rating class interval point.
The positive correlation factor of table 2
| Opinion rating | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
| Factor range | x≥d | c≤x<d | b≤x<c | a≤x<b | x<a |
3 negatively correlated factor of table
| Opinion rating | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
| Factor range | x<a | a≤x<b | b≤x<c | c≤x<d | x≥d |
The mathematic(al) representation of the membership function of linear factor is as follows, and the degree of membership of negatively correlated factor is represented in bracket
Function expression：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Particularly, (1) works as x1≤ minimum limit value xminWhen, then make x1=xmin, so formula (5) formula is rewritten as：
V (I) class：
(2) x is worked as5>=maximum limit value xmaxWhen, then make x5=xmax, so formula (1) is rewritten as：
I (V) class：
Step 6.1.2 appropriateness sexual factors
The division of appropriate sexual factor opinion rating is as shown in table 6 and table 7.Membership function curve as depicted in figs. 1 and 2,
Represent the membership function curve of spill appropriateness factor in figure bracket, x in figure1=(3a-b)/2, x2=(a+b)/2, x3=(b
+ c)/2, x4=(c+d)/2, x5=(3d-c)/2, x6=(3e-f)/2, x7=(e+f)/2, x8=(f+g)/2, x9=(g+h)/
2, x10=(3h-g)/2, wherein a ＜ b ＜ c ＜ d ＜ e ＜ f ＜ g ＜ h, a, b, c, d, e, f, g, h are respectively opinion rating classification
Interval point.
The spill appropriateness factor of table 6
The convex appropriateness factor of table 7
The mathematic(al) representation of appropriate sexual factor membership function is as follows, and being subordinate to for spill appropriateness factor is represented in bracket
Spend function expression：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Particularly, (1) works as x5≥x6When, then x5And x62 points are merged into a bit, nowThen (8) formula
It is rewritten as：
I (V) class：
(2) x is worked as1≤ minimum limit value xminWhen, then make x1=xmin, so first three formula is rewritten as in (12)：
V (I) class：
(3) x is worked as10>=maximum limit value xmaxWhen, then make x10=xmax, so three formulas are rewritten as after in (12)：
V (I) class：
In the present embodiment, the span of quantitative factor opinion rating is as shown in table 8 in set of factors.
The span of the quantitative factor opinion rating of table 8
This step lists quantitative factor all in set of factors, by this link can will in set of factors it is each quantify because
The membership vector of element calculates, as ri={ ri1 ri2 … ri5}。
Step 6.2 calculates qualitative factor degree of membership
The degree of membership of qualitative factor is calculated using fuzzy statistical method.Fuzzy statistical method can be briefly described for：First,
For a certain qualitative factor, n position experts are chosen, ask n positions expert according to the professional knowledge and practical experience of oneself, according to
The division principle of five grades, its division principle for thinking standard is provided, n group judgment criteria is obtained.Then, by estimator's root
According to the qualitative description in mineral deposit, and with reference to the standard that every expert provides, the grade of factor is judged one by one, is judged as
Grade k (k=I, II, III, IV, IV) number is xk, thenFinally, the probability of each level evaluation is then counted
Value, probable value is the degree of membership of the factor, and the degree of membership corresponding to grade k is rik=xk/ n, so, qualitative factor is subordinate to
It is r to spend vectori={ ri1 ri2 … ri5}。
Soak deposit exploitation Fuzzy Synthetic Evaluation for Performance in step 7. ground
The single factor test degree of membership r determined according to step 6i, thus constitute degree of membership square of the set of factors relative to evaluate collection
Battle array R, then according to the analytic hierarchy process (AHP) of step 5, establish the weight matrix W of each factor, therefore, the development response evaluation knot in mineral deposit
Fruit isWherein o represents fuzzy operator.According to maximum membership grade principle, with reference to step 4.2
Description in the evaluate collection V of the evaluation of deposits system of foundation to each opinion rating, judge the whole development performance in mineral deposit.
For example, there is five mineral deposits, respectively mineral deposit 1, mineral deposit 2, mineral deposit 3, mineral deposit 4 and mineral deposit 5 are calculated by above-mentioned steps
The result that five deposit exploitation performance synthesises are judged is followed successively by Then according to most
Big degree of membership principle, the fuzzy evaluation grade in five mineral deposits are followed successively by I grade, II etc., III etc., IV etc., V etc..According to five mineral deposits
Opinion rating, and combine description to each grade in table 2 and may determine that, the exploitation performance in five mineral deposits is by good to poor order
For：Mineral deposit 1, mineral deposit 2, mineral deposit 3, mineral deposit 4, mineral deposit 5.Finally, it can be determined that the exploitation performance in mineral deposit 1 is fine, and mineral deposit 2 is not present
Conditionality factor, exploitation performance is good, and two mineral deposits can be carried out developing at present；Certain difficulty in some aspects be present in mineral deposit 3
Spend but can be resolved substantially, at present it is contemplated that developing, but development benefit is slightly worse；Mineral deposit 4 exists certain in some aspects
Difficulty, and the difficulty solved is larger, wouldn't recommend to develop at present, need to deploy further research work；The restriction that mineral deposit 5 is developed
Sexual factor is more, and the difficulty solved is very big, explorative extreme difference, can substantially determine develop under the present conditions.
The present embodiment sandrock-type uranium deposit utilization integrated evaluating method have system is comprehensive, logic is rigorous, knot
The features such as fruit is accurately and reliably, applicability is wide, it can not be put into mine and carry out overall evaluation before building to mineral deposit, avoided
The blindness of mineral deposit exploitation at initial stage, reduce the degree of risk of deposit exploitation.
Specific advantage and have the beneficial effect that：
1) blank that sandrock-type deposit exploitation utilizes integrated evaluating method is filled up
The present invention provides a whole set of complete evaluation method for the utilization in sandrock-type mineral deposit, has filled up sandrock-type ore deposit
Blank in bed utilization effect integrated evaluating method is significant.
2) system, comprehensively
The present invention considers the factor for all aspects for influenceing mineral deposit, not only allows for the internal condition of ore body, while
The externality of deposit exploitation is considered, is that the development process in sandrock-type mineral deposit is being carried out to set up on the basis of system anatomy
Come, there is the advantages of system, comprehensive.
3) logic is rigorous
The present invention calculates the degree of membership of factor using triangle membership function, and the weight of factor is calculated using analytic hierarchy process (AHP)
Matrix, judges the exploitability in mineral deposit using the method for fuzzy mathematics, and calculating process logic is rigorous.
4) result is accurately and reliably
First stage evaluation is avoided by evaluating mistake caused by veto by one vote sexual factor, and second stage evaluation is again the
On the basis of one Phase Evaluation, the evaluation in mineral deposit quantification treatment is subjected to, the evaluation in two stages supports mutually so that evaluation
As a result more accurately and reliably.
5) applicability is wide
No matter mineral deposit is the stage to be developed, is in building the production phase, this evaluation method is all applicable.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.It is if these modifications and variations belong within the scope of the claims in the present invention and its equivalent technologies, then of the invention
It is also intended to comprising including these changes and modification.
Claims (8)
1. a kind of integrated evaluating method of sandrock-type uranium deposit utilization, it is characterised in that in turn include the following steps：
Step 1. collects deposit exploitation and utilizes influence factor data；
Step 2. is analyzed the Technological Economy factor of the influence deposit exploitation in step 1 data collection, builds the evaluation of deposits
Set of factors U={ the u of system1 u2 … unAnd evaluate collection V={ v1 v2 … vm}；
Step 2.1 establishes the set of factors U of evaluation of deposits system
The set of factors U of evaluation of deposits system include resources supplIes, leaching techniques condition, hydrometallurgy technical conditions, outside construction condition,
Environmental protection condition and social condition, the data that step 1 is collected is subjected to taxonomic revision according to the set of factors of evaluation of deposits system；
Step 2.2 establishes the evaluate collection V of evaluation of deposits system
Opinion rating is divided into I, II, III, IV, V 5 classes by the evaluate collection of evaluation of deposits system, to form the evaluate collection in mineral deposit,
It represents that the exploitability in mineral deposit is good, preferable, general, big, the i.e. V={ I II III IV V } that certain difficulty, difficulty be present respectively
={ v1 v2 v3 v4 v5 }；
Step 3. establishes set of factors U weight sets W={ w using analytic hierarchy process (AHP)1 w2 … wm}；
Step 4. is using triangle membership function to the factor u in set of factors Ui(i=1,2,3 ..., m) judges, determine this because
Element is to comment vjThe degree of membership of (j=1,2,3,4,5), calculate factor uiDegree of membership be ri={ ri1 ri2 … rin}；Evaluation because
Factor in element collection U is divided into two kinds of quantitative factor and qualitative factor, quantitative factor is calculated using triangle membership function, using mould
Paste the degree of membership that statistic law calculates qualitative factor；
Soak deposit exploitation Fuzzy Synthetic Evaluation for Performance in step 5. ground
The single factor test degree of membership r determined according to step 4i, subordinated-degree matrix R of the set of factors relative to evaluate collection is thus constituted, then
The weight matrix W of each factor is established according to step 3, the development response evaluation result in mineral deposit is
WhereinRepresent fuzzy operator；According to maximum membership grade principle, combining assessment concentrates the description to each opinion rating, judges mineral deposit
Whole development effect.
A kind of 2. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 1, it is characterised in that：In step
Restriction evaluation is carried out before rapid 1, restriction evaluation in turn includes the following steps：
Step 1. collects deposit exploitation conditionality factor data, and conditionality factor includes can ground leaching property, environmental protection condition and policy guarantor
Barrier；
Step 2. analyses item by item to the conditionality factor in mineral deposit,
Step 2.1 can ground leaching property analysis
The essential information in mineral deposit is investigated, by evaluating soak performance key index with influenceing sandrock-type mineral deposit, from entirety
It is upper to judge whether mineral deposit use in-situ leach mining；
Step 2.2 environmental protection condition is analyzed
By investigating the ecological environmental condition on mineral deposit periphery, judge whether to restrict the environmental factor of deposit exploitation；
Step 2.3 policy and social condition analysis
By understanding country and local policy, and local offices are seeked advice from, whether the exploitation for investigating mineral deposit deposits with every policy
Conflicting, understanding government department and whether local resident opposes to deposit exploitation, judging the state with all sectors of society in policy
With the presence or absence of the situation for restricting deposit exploitation on degree；
Analyse item by item result of the step 3. according to step 2 to conditionality factor, judge that deposit exploitation whether there is restriction condition；
When one is judged as "Yes" in step 2.1 to step 2.3, then judgement mineral deposit be able to wouldn't be developed at present, and evaluation stops；Work as step
2.1 every into step 2.3 be judged as "No", then next step is carried out.
A kind of 3. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 2, it is characterised in that：It is described
In step 2.1, soak with influenceing sandrock-type mineral deposit the permeability of the key index including mineral deposit of performance, the situation of water proof roof and floor,
Square meter uranium amount, degree of consolidation, the degree of mineralization of ground water, orebody buried depth and ore leaching effect；In the step 2.2, mineral deposit periphery
Ecological environmental condition include air, surface water, underground water, land status, with the presence or absence of digestion in water bath, nature reserve area and
Scenic spot.
A kind of 4. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 1 or 2, it is characterised in that：
The analytic hierarchy process (AHP) of the step 3 in turn includes the following steps：
The set of factors U of the clear and definite step 2.1 of step 3.1 hierarchical relationship, establishes hierarchical structure；
Step 3.2 construction compares scale, establishes judgment matrix A
Compare scale according to 1~9, the factor of each level in set of factors U is compared to each other, construct judgment matrix A=
(aij)n×n, then calculated according to the following steps,
Step 3.2.1 first will determine that each row of matrix A are normalized, and obtain matrix B=(bij)n×n；Then by matrix B
Row summation obtains column vector W=(w1, w1..., wn) T, i.e.,
Wherein,
Weight sets W is normalized step 3.2.2,Obtain the weight matrix of factor of evaluation；
Step 3.2.3 calculates the eigenvalue of maximum λ for the weight matrix for judging factor of evaluationmax,
Step 3.3 Mode of Level Simple Sequence and consistency check
As random consistency ration CRDuring=C/R ＜ 0.1, judgment matrix A inconsistency is subjected to, and otherwise must adjust judgement
Matrix A, untill consistency check is met；Wherein C is consistency check index, C=(λmax- n)/(n-1), n is to judge square
The exponent number of battle array, R is Aver-age Random Consistency Index.
A kind of 5. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 4, it is characterised in that：It is described
Aver-age Random Consistency Index R value is as shown in table 1
The Aver-age Random Consistency Index R values of table 1
A kind of 6. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 1 or 2, it is characterised in that：
Triangle membership function method in the step 4 in turn includes the following steps：
Step 4.1 calculates the degree of membership of quantitative factor using triangle membership function,
Quantitative factor includes linear factor and appropriate sexual factor, and linear factor includes positive correlation factor and negatively correlated factor, appropriateness
Sexual factor includes convex appropriateness sexual factor and spill appropriateness sexual factor；
Step 4.1.1 linear factors
According to linear factor membership function curve, x1=(3a-b)/2, x2=(a+b)/2, x3=(b+c)/2, x4=(c+d)/
2, x5=(3d-c)/2, wherein a ＜ b ＜ c ＜ d, a, b, c, d are respectively opinion rating class interval point, linear factor evaluation etc.
Level division as shown in table 2 and table 3,
The positive correlation factor of table 2
3 negatively correlated factor of table
The mathematic(al) representation of the membership function of linear factor is as follows, and the membership function of negatively correlated factor is represented in bracket
Expression formula：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Step 4.1.1.1 works as x1≤ minimum limit value xminWhen, then make x1=xmin, so formula (5) formula is rewritten as：
V (I) class：
Step 4.1.1.2 works as x5>=maximum limit value xmaxWhen, then make x5=xmax, so formula (1) is rewritten as：
I (V) class：
Step 4.1.2 appropriateness sexual factors
The division of appropriate sexual factor opinion rating is as shown in table 4 and table 5, according to adaptability membership of factor function curve, x1=
(3a-b)/2, x2=(a+b)/2, x3=(b+c)/2, x4=(c+d)/2, x5=(3d-c)/2, x6=(3e-f)/2, x7=(e+
F)/2, x8=(f+g)/2, x9=(g+h)/2, x10=(3h-g)/2, wherein a ＜ b ＜ c ＜ d ＜ e ＜ f ＜ g ＜ h, a, b, c, d,
E, f, g, h are respectively opinion rating class interval point,
The spill appropriateness factor of table 4
The convex appropriateness factor of table 5
The mathematic(al) representation of appropriate sexual factor membership function is as follows, and the degree of membership letter of spill appropriateness factor is represented in bracket
Number expression formula：
I (V) class：
II (IV) class：
III class：
IV (II) class：
V (I) class：
Step 4.1.2.1 works as x5≥x6When, then x5And x62 points are merged into a bit, nowThen (8) formula changes
It is written as：
I (V) class：
Step 4.1.2.2 works as x1≤ minimum limit value xminWhen, then make x1=xmin, so first three formula is rewritten as in (12)：
V (I) class：
Step 4.1.2.3 works as x10>=maximum limit value xmaxWhen, then make x10=xmax, so three formulas are rewritten as after in (12)：
V (I) class：
A kind of 7. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 1 or 2, it is characterised in that：
Fuzzy statistical method in the step 4 in turn includes the following steps,
Step 4.2 calculates the degree of membership of qualitative factor using fuzzy statistical method
Step 4.2.1 chooses n position experts for a certain qualitative factor, asks n positions expert according to the professional knowledge and reality of oneself
Experience is trampled, according to the division principle of five grades, its division principle for thinking standard is provided, n group judgment criteria is obtained；
Qualitative descriptions of the step 4.2.2 by estimator according to mineral deposit, and the standard provided with reference to every expert, to the grade of factor
Judged one by one, the number for obtaining being judged as grade k (k=I, II, III, IV, IV) is xk, then
Then step 4.2.3 counts the probable value of each level evaluation, probable value is the degree of membership of the factor, corresponding to grade
K degree of membership is rik=xk/ n, so, the membership vector of qualitative factor is ri={ ri1 ri2 … ri5}。
A kind of 8. integrated evaluating method of sandrock-type uranium deposit utilization as claimed in claim 6, it is characterised in that：It is described
It is as shown in the table for the span of quantitative factor opinion rating degree of membership in set of factors,
The span of the quantitative factor opinion rating of table 6
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610683205.3A CN107766999A (en) | 2016-08-18 | 2016-08-18 | A kind of integrated evaluating method of sandrock-type uranium deposit utilization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610683205.3A CN107766999A (en) | 2016-08-18 | 2016-08-18 | A kind of integrated evaluating method of sandrock-type uranium deposit utilization |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107766999A true CN107766999A (en) | 2018-03-06 |
Family
ID=61261391
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610683205.3A Pending CN107766999A (en) | 2016-08-18 | 2016-08-18 | A kind of integrated evaluating method of sandrock-type uranium deposit utilization |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107766999A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109738949A (en) * | 2018-12-25 | 2019-05-10 | 核工业北京地质研究院 | A kind of method of field quantitative assessment sandstone-type uranium mineralization with respect favo(u)rable target layer |
| CN110500096A (en) * | 2018-05-16 | 2019-11-26 | 中核第四研究设计工程有限公司 | A kind of Hard Rock-type uranium mine production scale determines method |
| CN111461333A (en) * | 2020-04-02 | 2020-07-28 | 交通运输部天津水运工程科学研究所 | Dynamic risk early warning method for L NG storage tank |
| CN112668477A (en) * | 2020-12-29 | 2021-04-16 | 中通服公众信息产业股份有限公司 | High-risk area feature detection and identification method and intelligent identification system |
| CN114757508A (en) * | 2022-03-29 | 2022-07-15 | 江西省地质局第七地质大队(江西省地质局稀土应用研究所) | Ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model |
| CN114757508B (en) * | 2022-03-29 | 2024-06-07 | 江西省地质局第七地质大队(江西省地质局稀土应用研究所) | Ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609792A (en) * | 2012-03-16 | 2012-07-25 | 湖北省电力公司 | Extra-high-voltage alternating current and direct current transmission mode applicability selecting method and device using same |
| CN105469196A (en) * | 2015-11-18 | 2016-04-06 | 山东科技大学 | Comprehensive evaluation method and comprehensive evaluation system for evaluating mine construction project process |
| CN105488611A (en) * | 2015-11-24 | 2016-04-13 | 山东科技大学 | Comprehensive evaluation method and system for mine construction project design scheme |
| CN105807327A (en) * | 2014-12-29 | 2016-07-27 | 核工业北京地质研究院 | Sedimentary basin base uranium fertility and sandstone-type uranium deposit mineralization potentiality evaluation method |
-
2016
- 2016-08-18 CN CN201610683205.3A patent/CN107766999A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609792A (en) * | 2012-03-16 | 2012-07-25 | 湖北省电力公司 | Extra-high-voltage alternating current and direct current transmission mode applicability selecting method and device using same |
| CN105807327A (en) * | 2014-12-29 | 2016-07-27 | 核工业北京地质研究院 | Sedimentary basin base uranium fertility and sandstone-type uranium deposit mineralization potentiality evaluation method |
| CN105469196A (en) * | 2015-11-18 | 2016-04-06 | 山东科技大学 | Comprehensive evaluation method and comprehensive evaluation system for evaluating mine construction project process |
| CN105488611A (en) * | 2015-11-24 | 2016-04-13 | 山东科技大学 | Comprehensive evaluation method and system for mine construction project design scheme |
Non-Patent Citations (2)
| Title |
|---|
| 吴颖: ""子长–延川矿权区三叠系煤炭资源开发潜力评价"", 《煤田地质与勘探》 * |
| 编辑委员会: "《中国资源科学百科全书》", 31 March 2000, 中国大百科全书出版社、石油大学出版社 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110500096A (en) * | 2018-05-16 | 2019-11-26 | 中核第四研究设计工程有限公司 | A kind of Hard Rock-type uranium mine production scale determines method |
| CN110500096B (en) * | 2018-05-16 | 2020-12-15 | 中核第四研究设计工程有限公司 | Method for determining production scale of hard rock type uranium mine |
| CN109738949A (en) * | 2018-12-25 | 2019-05-10 | 核工业北京地质研究院 | A kind of method of field quantitative assessment sandstone-type uranium mineralization with respect favo(u)rable target layer |
| CN109738949B (en) * | 2018-12-25 | 2020-06-19 | 核工业北京地质研究院 | Method for field quantitative evaluation of sandstone-type uranium ore favorable target layer |
| CN111461333A (en) * | 2020-04-02 | 2020-07-28 | 交通运输部天津水运工程科学研究所 | Dynamic risk early warning method for L NG storage tank |
| CN112668477A (en) * | 2020-12-29 | 2021-04-16 | 中通服公众信息产业股份有限公司 | High-risk area feature detection and identification method and intelligent identification system |
| CN114757508A (en) * | 2022-03-29 | 2022-07-15 | 江西省地质局第七地质大队(江西省地质局稀土应用研究所) | Ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model |
| CN114757508B (en) * | 2022-03-29 | 2024-06-07 | 江西省地质局第七地质大队(江西省地质局稀土应用研究所) | Ion adsorption type rare earth ore in-situ leaching applicability evaluation method and model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108009716B (en) | Multi-level evaluation method for influence factors of horizontal well volume fracturing effect | |
| WO2019149147A1 (en) | Method for dividing ecological and geological environment types based on coal resource development | |
| Reale et al. | Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks | |
| Sahoo et al. | Index-based groundwater vulnerability mapping using quantitative parameters | |
| CN104747185B (en) | Heterogeneous reservoir reservoir synthetical assortment evaluation method | |
| CN107766999A (en) | A kind of integrated evaluating method of sandrock-type uranium deposit utilization | |
| CN105654236B (en) | Underground water type drinking water source pollution risk evaluation method | |
| CN110619353B (en) | Multi-scale logging curve automatic identification method based on deep learning | |
| CN107357966A (en) | A kind of surrounding rock of actual mining roadway stability prediction and appraisal procedure | |
| CN113570226A (en) | Method for evaluating occurrence probability grade of tunnel water inrush disaster in fault fracture zone | |
| Bashari et al. | Estimation of deformation modulus of rock masses by using fuzzy clustering-based modeling | |
| CN104462859A (en) | Oil and gas resource recovery coefficient determining method | |
| CN103258298A (en) | Method for assessing safety of open pit coal mine | |
| CN105787642A (en) | Potential commercial district optimal selection method in oil gas exploration | |
| Bi et al. | Discriminant analysis of mine water inrush sources with multi-aquifer based on multivariate statistical analysis | |
| CN102253423A (en) | Proper water supply position intelligent recognition technology based on multi-source hydrogeology survey information | |
| CN115358285B (en) | Method, device and equipment for selecting key geological parameters of block to be surveyed | |
| CN103898890B (en) | Soil layer quantization layering method based on double-bridge static sounding data of BP neural network | |
| CN106056577A (en) | Hybrid cascaded SAR image change detection method based on MDS-SRM | |
| Leung et al. | Sample truncation strategies for outlier removal in geochemical data: the MCD robust distance approach versus t-SNE ensemble clustering | |
| CN104533406A (en) | Method for determining petroleum entrapment probability | |
| CN111027249A (en) | Machine learning-based inter-well connectivity evaluation method | |
| Niquini et al. | Mass and metallurgical balance forecast for a zinc processing plant using artificial neural networks | |
| CN114648153A (en) | Dense oil dessert optimization method and system based on gray matrix weighting method | |
| Haaf | Towards prediction in ungauged aquifers–methods for comparative regional analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |