CN110334882A - A kind of concealed orebody quantitative forecasting technique and device - Google Patents
A kind of concealed orebody quantitative forecasting technique and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of concealed orebody quantitative forecasting technique and devices, comprising: determines survey region；Mine geological model is looked in foundation；It obtains each geologic elements of the survey region and establishes three-dimensional geological physical model；It looks for mine geological model as foundation using described, extracts geologic anomaly information, three-dimensional Ore-forming geology abnormal space reconstruct is carried out to the survey region；The quantification distributed area for obtaining into mine advantageous information establishes region quantification prediction model；Concealed orebody area delineation prediction, to realize the quantitative forecast of ore body.The embodiment of the present invention provides a kind of concealed orebody quantitative forecasting technique and device, this method combines nowadays popular three position prediction technology of mineral resources, traditional geological theory and the research existing data information in area, using mathematical geology and computer technology scheduling theory and method, carry out the prediction and appraisal of region deep mineral resources.Solve the problems, such as due to three-dimensional prediction technology detect accuracy it is not high caused by forecasting efficiency it is lower.
Description
Technical field
The present embodiments relate to geology and field of computer technology, and in particular to a kind of concealed orebody quantitative forecast
Method and device.
Background technique
Mineral resources are non-renewable resources, and earth's surface superficial part mineral resources are just increasingly reduced, the serious economy for restricting China
Social development.Especially copper ore resource relies on import for a long time, how to increase copper ore resource amount, is current urgent problem.
In recent years, the center of gravity of mineral resources work gradually from earth's surface superficial part mine or mineral products easy to identify to deep mine or
Indiscernible buried ore transfer.To the innovation above the research of the regularity of ore formation and metallogenic prognosis method in mineral resources at
For the most important thing.
With the development of three-dimensional visualization technique and three-dimensional interpolation technology, three-dimensional geological modeling metallogenic prognosis becomes in recent years
One spotlight (Chen Jian equality, 2014) in mineral resource prediction field.Paper applies three-dimensional geological to the mining area undrawing grade method Luo Dang
Modeling and forecasting method is based on to the mining area Luo Dang metallogenetic geologic setting and mine geology situation, with reference to both at home and abroad about copper deposit
Correlative study is based on existing geologic data and data, establishes ore-search models.Further according to the basic geological data application in research area
Surpac software carries out three-dimensional geological reconstruct, establishes three-dimensional geological model, right then on the basis of the ore-search models built up
There is force information to extract at mine, carries out area using 3DMP three-dimensional mining software, Surpac software and " cubic forecast model "
Domain three-dimensional geological object model and deep part ore prediction.It is parsed into the relevant geological conditions of mine, using three-dimensional weights-of-evidence method and information
Amount method draws a circle to approve target area, realizes the positioning of concealed orebody, quantifies, determines probabilistic forecasting (Chen Jian equality, 2007).
With the continuous development of science and technology, the masters of current mineral resources is become for reconnoitring for deep concealed ore body
Want research direction, three-dimensional geological modeling method is the main of Quantitative study three-dimensional geological spatial structure characteristic and its changing rule
Technological means, it has also become one of the important effective ways of relationship between sunykatuib analysis geological phenomenon and spatial-temporal evolution pattern, it is three-dimensional
Therefore metallogenic prognosis also becomes the Disciplinary Frontiers of On Quantitative Prediction of Mineral Resources and evaluation at this stage.Three-dimensional geological modeling is various
On the basis of original geologic data, the mathematical model for embodying geologic feature is established out according to data model appropriate, by over the ground
Relationship and physical property between the three-dimensional geometry form and geologic body of plastid carry out computer simulation, in conjunction with geographical geological information, most
End form at threedimensional model geoanalytical techniques.
Canadian scholar Simon further discussed the basic skills of three-dimensional geological modeling, including geology side in 1998
Boundary is delineated, Triangulation Network Model constructs, the foundation of spatial database etc. (Wu Lixin, Shi Wenzhong, 2003).Then, the U.S., Australia are big
The country such as Leah, Britain also all successively starts the major project research in relation to three-dimensional geological modeling, and Great Britain and USA starts three
Geologic mapping plan is tieed up, the integrated three-dimensional geoscience data information of exploitation carrys out the research of resource and environment filed under polder；
It is Australian then be proposed " glass Earth " plan, the three-dimensional geological model within the scope of earth's surface or less 1km is embarked, after this is
Continuous mineral resource prediction lays a solid foundation to appraisal and related geological research.Not with deep prospecting demand
Disconnected to expand, external Geologic modeling software is also being constantly progressive, as MicroMine software, Surpac software, GeoCAD software,
DataMine software etc..These softwares all have storage, management, display, editor and three-dimensional spatial analysis for three-dimensional data
The basic function of equal 3DGIS software.
Though the three-dimensional geological modeling work in China is started late, the geologic anomaly theory and tri-coupling type of Zhao Peng academician is quantitative
Prediction and evaluation method (Zhao Peng great, Meng Xianguo, 1993；Zhao Peng great, 2002), the Predication of Mineral Resources By Comprehensive Information that king is referred in the world is theoretical
With method (Chen Yongqing, king are referred in the world, 1995；Zhao Zhenyu, king are referred in the world, Zhong Kunming, and 2003), belong to achievement extremely outstanding.
Currently, geological modeling is carried out with three-dimensional visualization method, it is pre- at mine using the comprehensive progress of a variety of ore informations
Survey is the hot spot for looking for miner to make and main trend (Zhao Peng great, Meng Xianguo, 1993).Chen Jianping teaches led team's research and development
3DMP system becomes the first software for realizing the 3-D quantitative prediction to mineral resources in China.Team leads what Chen Jianping was taught
Down successively to No. 3 Tibet Autonomous Region's Yulong Porphyry Copper mineral deposit, Tongguan Shanxi Xiao cynling gold mine, Altay, Xinjiang Keketuohai Ore giant crystals
Vein rare metal buried ore, Fujian plum area buried ore, Hunan Province's Huangshaping Pb-Zn Mine polymetallic deposit, the area Tongling, Anhui Province Kuang Ji etc. forever
Mining area has carried out three-dimensional metallogenic prognosis, proposes a kind of method based on " cubic forecast model " and patented, can be to difference
Mineral evaluate resource potential, summarize and the perfect high efficiency technical process of a set of three-dimensional metallogenic prognosis that can be used for deep prospecting,
The process can comprehensively analyze ore-search models and the regularity of ore formation, realize three-dimensional geological modeling and positioning, it is quantitative,
With determining probability metallogenic prognosis work, to achieve the purpose that more efficiently to mineral resource prediction and evaluation.
Summary of the invention
For this purpose, the embodiment of the present invention provides a kind of concealed orebody quantitative forecasting technique and device, to solve in the prior art
The lower problem of forecasting efficiency caused by the accuracy detected due to three-dimensional prediction technology is not high.
To achieve the goals above, the embodiment of the present invention provides a kind of concealed orebody quantitative forecasting technique and device, the party
Method combines nowadays popular three position prediction technology of mineral resources, traditional geological theory and the research existing data information in area, benefit
With mathematical geology and computer technology scheduling theory and method, carry out the prediction and appraisal of region deep mineral resources.It has
Body technique scheme is as follows:
A kind of concealed orebody quantitative forecasting technique is provided according to a first aspect of the embodiments of the present invention, which is characterized in that packet
Include step:
Determine survey region；
Mine geological model is looked in foundation；
It obtains each geologic elements of the survey region and establishes three-dimensional geological physical model；
It looks for mine geological model as foundation using described, extracts geologic anomaly information, three-dimensional is carried out into mine to the survey region
Geologic anomaly Space Reconstruction；
The quantification distributed area for obtaining into mine advantageous information establishes region quantification prediction model；
Concealed orebody area delineation prediction, to realize the quantitative forecast of ore body.
It further, further include evaluating the quantitative forecast result of ore body.
Further, including using statistic algorithm to described it analyzed, calculated at mine advantageous information, obtained described at mine
The quantification distributed area of advantageous information.
Further, including passing through the quantification prediction model established based on information Contents Method to the continuous interpolation area of delimitation
It carries out into target and goes delineation prediction work.
Further, look for the foundation of mine geological model the following steps are included:
Obtain Geotectonic Setting information in survey region, mineralogenetic epoch information, mineralization types information and genetic type letter
Breath；
Believed by Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and the genetic type to research area
Breath carries out correlation analysis；
According to research area's real data data, the ore-search models in the research area are established.
A kind of concealed orebody quantitative forecast device is provided according to a second aspect of the embodiments of the present invention, which is characterized in that packet
Determining module is included, is established and is looked for mine geological model module, establishes three-dimensional geological physical model module, three-dimensional Ore-forming geology abnormal space
Reconstructed module establishes region quantification prediction model module, concealed orebody area delineation prediction module；The determining module is for true
Determine survey region；It is described foundation look for mine geological model module for establish look for mine geological model；It is described to establish three-dimensional geological entity
Model module is used to obtain each geologic elements of the survey region and establishes three-dimensional geological physical model；The three-dimensional is at mine
Matter abnormal space reconstructed module is used to look for mine geological model as foundation using described, geologic anomaly information is extracted, to the research area
Domain carries out three-dimensional Ore-forming geology abnormal space reconstruct；It is described establish region quantification prediction model module for obtain it is advantageous at mine
The quantification distributed area of information establishes region quantification prediction model；The concealed orebody area delineation prediction module is for hidden
Fu Kuangtiqu delineation prediction, to realize the quantitative forecast of ore body.
Further, further includes: evaluation module is evaluated for the quantitative forecast result to ore body.
Further, the three-dimensional Ore-forming geology abnormal space reconstructed module further includes establishing region quantification prediction model
Module obtains described determining at mine advantageous information for being analyzed, calculated at mine advantageous information to described using statistic algorithm
Quantization profile section.
Further, further include continuous interpolation area by the quantification prediction model of foundation based on information Contents Method to delimitation
Domain carries out going delineation prediction work at target.
Further, establishing and looking for mine geological model module includes data obtaining module, for obtaining the earth in survey region
Tectonic setting information, mineralogenetic epoch information, mineralization types information and genetic type information；
Prediction module, for being based on information by the quantification prediction model established by the tectonics back to research area
Amount method carries out the continuous interpolation area of delimitation to go delineation prediction work at target；
Correlating module, for Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and the origin cause of formation
Type information carries out correlation analysis；
Ore-search models establish module, for according to research area's real data data, that establishes the research area to look for mine mould
Type.
The embodiment of the present invention has the advantages that
The embodiment of the present invention provides a kind of concealed orebody quantitative forecasting technique and device, and this method combines nowadays popular mine
Three position prediction technology of resource, traditional geological theory and the research existing data information in area are produced, mathematical geology and computer are utilized
Technology scheduling theory and method carry out the prediction and appraisal of region deep mineral resources.It solves due to three-dimensional prediction technology
The lower problem of forecasting efficiency caused by the accuracy of detection is not high.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Structure depicted in this specification, ratio, size etc., only to cooperate the revealed content of specification, for
Those skilled in the art understands and reads, and is not intended to limit the invention enforceable qualifications, therefore does not have technical
Essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the function of the invention that can be generated
Under effect and the purpose that can reach, should all still it fall in the range of disclosed technology contents can cover.
Fig. 1 is a kind of flow diagram for concealed orebody quantitative forecasting technique that the embodiment of the present invention 1 provides；
Physical model structure figures within the scope of the survey region that Fig. 2 provides for the embodiment of the present invention 1；
Fig. 3 is the cubic forecast model schematic diagram that the embodiment of the present invention 1 provides；
Fig. 4 is that the stratum that the embodiment of the present invention 1 provides and ore body statistically analyze line chart；
Fig. 5 is the isodensity figure of ration statistics containing mine that the embodiment of the present invention 1 provides；
Fig. 6 is the frequency figure of ration statistics containing mine that the embodiment of the present invention 1 provides；
Fig. 7 is the orientation abnormality degree ore body number statistical chart that the embodiment of the present invention 1 provides；
Fig. 8 be the embodiment of the present invention 1 provide at mine advantage factor weight statistical chart；
Fig. 9 is the block for the estimation range that the embodiment of the present invention 1 provides.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
It is a kind of flow diagram for concealed orebody quantitative forecasting technique that the embodiment of the present invention 1 provides, including step referring to Fig. 1
It is rapid:
S1: survey region is determined；
S2: mine geological model is looked in foundation；
S3: each geologic elements of the survey region are obtained and establish three-dimensional entity model；
S4: looking for mine geological model as foundation using described, extracts geologic anomaly information, to the survey region carry out it is three-dimensional at
Mine geologic anomaly Space Reconstruction；
S5: the quantification distributed area at mine advantageous information is obtained, region quantification prediction model is established；
S6: the delineation prediction of concealed orebody area, to realize the quantitative forecast of ore body.
S1: survey region is determined
The present invention determines survey region by the way that existing geological information is collected and is analyzed.It specifically includes in region
Formation information, for example, the information of middle part metasediment section, middle part volcanic rock metamorphic rock section etc. is analyzed；Tectonic information,
For example, fold, fracture, joint etc.；Magmatic rock, for example, fire upper rock type, intrusive rock type etc.；Mineral products special medical treatment information.
S2: mine geological model is looked in foundation
After the above-mentioned analysis to existing mineral products data, mine geological model is looked in foundation.Looking for mine geological model is exactly to find
Mineral deposit as the main purpose, based on the various information of empirical model and theoretical model synthesis, is with mark, feature and data
According to multi-faceted summary design criterions and judgment basis establish model and know mineral resources.
Obtain Geotectonic Setting information in survey region, mineralogenetic epoch information, mineralization types information and genetic type letter
Breath；
Believed by Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and the genetic type to research area
Breath carries out correlation analysis；
According to research area's real data data, the ore-search models in the research area are established.
Aforesaid operations step belongs to the state of the art, and details are not described herein.
S3: each geologic elements of the survey region are obtained and establish three-dimensional entity model
For three-dimensional geological modeling, accurate comprehensive data effectively integrate be the basic of model construction work with mainly according to
According to accurate and the level of detail of basic data is the important guarantee of the precise degrees of three-dimensional geological model.Due to usually depositing at present
The problems such as the format of various geologic informations is not identical, source is not unique, data standard disunity, therefore to research area's geology money
Being collected for material seems particularly significant with arrangement.
The present invention is total to the region information of the ground map in collection research region, actual measurement the sectional drawing of geological prospecting line information, drilling volume
The mineral products basic document information such as data are recorded, and arrange data information as requested, provide data base for subsequent modeling work.
Geology data information is collected after completing, the building of three-dimensional geological physical model includes the following steps:
Model the determination of range；
The building of three-dimensional geological physical model within the scope of survey region.
It should be noted that the building of above-mentioned physical model includes: the building of stratum physical model, fracture physical model
Building, the building of rock mass entity, the building of ore body physical model.
S4: looking for mine geological model as foundation using described, extracts geologic anomaly information, to the survey region carry out it is three-dimensional at
Mine geologic anomaly Space Reconstruction
Referring to fig. 2, be the embodiment of the present invention 1 provide survey region within the scope of physical model structure figures, the studies above area
Domain terrain model mainly passes through the threedimensional model that the topographic contour data of survey region are established by relevant treatment, earth's surface mould
Type all has huge meaning in all kinds of minings, it can directly give expression to the landform height rolling shape in research area.
What the embodiment of the present invention was collected into is GDEMDEM30m resolution digital altitude data figure, first imparts height with MapGis extraction
The contour of journey value later again corrects contour ray examination, and format is converted into DXF format again later, and to be directed into three-dimensional modeling soft
In part Surpac, the three-dimensional wireframe of various geology is generated using Surpac, is then connected entity progress Boolean calculation and is studied
The DTM model in area, the modeling range model for being superimposed with survey region again later obtain the three-dimensional entity model in research area, Ke Yifa
Area's big rise and fall is now studied, middle part is higher, and surrounding rises and falls lower.
After having established three-dimensional entity model, it is also necessary to look for mine geological model to carry out three to survey region according to what is established before
Geologic anomaly Space Reconstruction is tieed up, the exception information that the embodiment of the present invention calculates includes fracture buffer area, isodensity, frequency, intersection point
Number, central symmetry degree, main fault, orientation abnormality degree etc..
Being broken buffer area is the rift structure according to research area according to geologic information, carries out dilatometer appropriate in its two sides
Calculation obtains model, and the present invention carries out 5 expansions to fracture buffer area and calculates, and can intuitively calculate description structural belt feature, construction
The higher area of isodensity value, lineament development is stronger, conversely, development degree is weaker.The highest area of isodensity value is logical
It is often the area that structure development is extremely strong after the metallogenic period, plays destruction, therefore isopycnic time high level region at mine
The usually strong position of mineralising.
Constructing isopycnic calculation method is:
That is, the construction isodensity value L of j-th of blockjThe length l being broken equal to every linear body on section by block sectioni
Divided by the summation of block side length S.
Construction frequency can directly reflect tectonic complexity, embody the body feature of regional structure framework.
Region main fault refers to horizontal direction extension and the in vertical direction big rift structure of depth.Discordogenic fault is metallogenic material
The channel risen is provided, the effect of rock, empty mine is started to control.Although being generally not direct metallogenic convergence institute in the main fault of region,
Mineral deposit is often distributed near main fault band, can be simply using the ratio of isodensity and frequency as quantitative indices main fault
Distributed area.Isodensity/frequency Spring layer, it is multiple to educate long fracture, show the feature of main fault.
Number of hits is constructed, i.e., the quantity in crosspoint between each construction, quantitative describes the feature of construction intersection.It is each
The intersection of fracture is usually suitable for orebody enrichment, and multiple groups rift structure intersection part often has the field of force at mine is potential on region
Institute.
Igneous invasion acts on the presence due to pressure, and center will form symmetry ring-type, radial fracture, to a certain extent
Also the positional relationship between structure development feature and rock mass morphological feature is reflected.Construct the calculation formula of central symmetry degree such as
Under:
Wherein, σ is center symmetry, SiLength for i-th fracture in horizontal cross-section,For the fracture for including in block
Mean square parallactic angle on horizontal cross-section, θiFor azimuth of i-th fracture on horizontal cross-section.
S5: the quantification distributed area at mine advantageous information is obtained, region quantification prediction model is established；
It is the cubic forecast model schematic diagram that provides of the embodiment of the present invention 1 referring to Fig. 3, in figure, the left side is Block Model,
The right is Rigid Body Element.Cubic forecast model method is the new direction that current three-dimensional looks for mine theoretical method to develop, it will grind first
Study carefully zoning and be divided into the big three-dimensional cubic Block Model such as several, therefore, each cube block can be regarded as to homogeneous same sex body,
Further according to the three-dimensional entity model built up, attribute constraint assignment is carried out to each cubic block, and to each of attribute
Cubic block model use correlation geostatistics method is calculated, and metallogenic prognosis is completed.Cubic forecast model method is two dimension
The new approaches that MINERAL PREDICTION develops to three-dimensional MINERAL PREDICTION, and the new paragon from known mining area the second mining area of expansion.In technology
In support, advanced efficient geology three-dimensional software has been used, the powerful data-handling capacity of computer and data storage is utilized
Ability, it is easier to complete to analyze work to the three-dimensional visualization work of geologic body and space three-dimensional.
The cubic forecast model that the present invention uses, the ore control factor for first having to analysis and research region and indicator for deposit are in mine
Positional relationship and changing rule on the three-dimensional space of area deep, the comprehensive quantification information in relation to deep prospecting, establish ore-search models；
According to the physical model of foundation, attribute constraint assignment is carried out to each cubic block, and use each cubic block with attribute
Related geostatistics and prediction technique are calculated, and final realization three-dimensional is extracted and positioned at mine advantageous information, is quantitative, determining generally
Rate metallogenic prognosis work.
The partition of the scale of the unit of above-mentioned cube model and the structure of prediction and evaluation are of close concern to each other, in the process of research
In, people usually determine the scale of block according to scales such as the areal geology phenomenon studied and ranges.The embodiment of the present invention
According to the geologic information of survey region, pass through the distribution characteristics of survey region geologic body, the occurrence of ore body and its Distribution Characteristics etc.
Research is to determine the range of model foundation and the size of cubic block.According to survey region coordinate range, can be set taking human as subjective
Haggle over the unit scale for suitable cube model, the three-dimensional information of geologic information is transferred to from physical model by cell block
Row x column x high is come the Block Model that divides.
After establishing three-dimensional Block Model, the quantitative analysis and extraction of each geologic elements are carried out using cube model method,
It thereby determines that survey region Quantitative Prediction Model, then each block will be assigned at mine favourable parameters.
Above-mentioned at mine favourable parameters includes formation information, rock mass information, ore-controlling structure information.
The block number of Different Strata, ore body number, ratio and ratio containing mine are counted and are screened, see the table below 1, be stratum with
Ore body overlay analysis statistical form；Fig. 4 is that the stratum that the embodiment of the present invention 1 provides and ore body statistically analyze line chart.FromIt opens
Begin, buffer area and study area ore body ratio and increased containing mine than suddenly,And tax can reach with the ratio containing mine of overlying strata
Ore bearing strate standard,Ratio containing mine reach highest, be the most important auriferous strata of survey region.
Table 1
Survey region plutone is mainly gabbro and lamprophyre veins, in use " concealed orebody quantitative forecast system "
When, merged and be referred to as rock mass, and calculate the different coefficient of rock mass point, the different degree main body of rock mass point is distributed in
(0.49790620803833-3.49601242542267).It see the table below 2, be plutone and ore body overlay analysis statistical form.Brightness
Long rock and lamprophyre it is very higher than containing mine, it is known that plutone region orebody enrichment can be used as Beneficial Ore-forming element.Meanwhile
Also the metallogenic factors for demonstrating survey region is related with magmatic rock invasion.
Table 2
Make the buffer zone analysis of different scale to fracture belt, is that fracture belt buffers under different scale as a result as shown in table 3 below
Area and ore body overlay analysis count.Be broken buffer area containing mine than whole in 1.4 to 1.5 sections, but different buffer areas contain
Mine ratio is not much different, can be using the lesser fracture buffer area of range as the strong metallogenic factors of metallogenic prognosis.
Table 3
Quantitative calculating for remaining construction feature value, we imported into 3DMP according to the fracture str file of foundation
In, to data information interpolation processing, quantification extracts construction feature.
(1) structural distribution characteristic statistics are analyzed
It is distributed in section (0-1.68) by the construction isodensity after being counted to tables of data, we will own in this region
Construction isodensity value is divided into 100 grades, and to the construction isodensity section and known ore body progress space in each Rigid Body Element
Superposition is analyzed containing mine, is the isodensity figure of ration statistics containing mine that the embodiment of the present invention 1 provides referring to Fig. 5, is found in section
56.47% ore body, therefore, Wo Menxuan are contained in (0.0168427563259375~0.453595028922983) in total
This fixed section is to construct isopycnic advantageous section, the Beneficial Ore-forming factor as subsequent prediction work.
Frequency disribution is constructed in section (0,4.16204824838313), we to each construction frequency section with it is known
Ore body carries out statistical stacking analysis, is the frequency figure of ration statistics containing mine that provides of the embodiment of the present invention 1 referring to Fig. 6, finally we
It was found that the 60.46% of known ore body is accounted in construction frequency (0.374601561503903~1.78969153242581) section,
Therefore one of the predictive factor using this section as the advantageous section of construction frequency, as next step prediction work.
Similar operation is carried out again, counts the information of main fault；And the main fault that statistical stacking goes out is analyzed, it can be with
It learns and has reached ore body sum in the ratio containing mine of section (0.00926577396234266~10.5490918954807)
83.09%, it can be considered that this section is Beneficial Ore-forming section, using this section as the Beneficial Ore-forming factor of subsequent prediction.
We carry out statistical stacking analysis to each construction orientation abnormality degree section and known ore body, it is last we have found that
In (0.0400009227971948~0.650000336436477) section, 60.32%, the Fig. 7 for accounting for known ore body is this hair
The orientation abnormality degree ore body number statistical chart that bright embodiment 1 provides, therefore using this section as the advantageous section of orientation abnormality degree, and
One of predictive factor as next step prediction work.
By above to the extraction at mine advantageous information and in conjunction with its Overlay Statistics Analysis result, it is determined that this is pre- at mine
The quantification prediction model in the continuous interpolation area of work is surveyed, see the table below 4 as continuous difference region quantification prediction model.
Table 4
S6: the delineation prediction of concealed orebody area, to realize the quantitative forecast of ore body
The present invention has mainly used three-dimensional weights-of-evidence method and information Contents Method to carry out three-dimensional metallogenic prognosis doubling-up targeting area.
Evidence-right-weight " method is developed and is started to apply in mineral resource prediction field by mathematical geology scholar Agterberg, it
By it is some at the overlay analysis of mine advantageous information and Ore-controlling factor complete metallogenic prognosis work (F.P.Agterberg,
Qiuming Cheng, 1990,2002).Research zoning is divided into the unit of the sizes such as T, wherein D grid cell contains
Know mine point, each variable is independent, then prior probability is
Its independence test result see the table below 5,
Table 5
| Evidence layer | Evidence T evidence layer T | Evidence T evidence layer F | Evidence F evidence layer T | Evidence F evidence layer F |
| pt1h41 | 0.000674 | 0.003536 | 0.000226 | 0.005649 |
| pt1h42 | 0.000728 | 0.003483 | 0.000332 | 0.005544 |
| pt1h43 | 0.003257 | 0.000953 | 0.000356 | 0.005519 |
| Fracture | 0.000277 | 0.003933 | 0.000107 | 0.005768 |
| It is broken buffer area 1 | 0.000546 | 0.003664 | 0.000212 | 0.005664 |
| Lamprophyre | 0.000305 | 0.003906 | 1.13E-05 | 0.005864 |
| Gabbro | 0.00081 | 0.003401 | 9.92E-05 | 0.005776 |
| Isodensity | 0.002538 | 0.001673 | 0.001257 | 0.004618 |
| Frequency | 0.002548 | 0.001663 | 0.001214 | 0.004661 |
| Orientation abnormality degree | 0.001541 | 0.00267 | 0.000617 | 0.005259 |
| Main fault | 0.003497 | 0.000714 | 0.001692 | 0.004183 |
| The different coefficient of rock mass point | 4.08E-05 | 0.00417 | 2.94E-06 | 0.005873 |
In ground field, weight evidence often uses two condition assignment, i.e., to containing for the ease of explanation and prediction work
Know that the cubic block of ore body is assigned a value of 1, the cell block without known ore body is assigned a value of 0. and thus calculates weight are as follows:
C=W+-W-
Wherein, C > 0 be at mine advantage factor, C=0 be at the unrelated factor of mine, C < 0 then at mine it is unfavorable because
Element.See the table below 6, for calculate weight statistical form, Fig. 8 be the embodiment of the present invention 1 provide at mine advantage factor weight statistical chart.
Table 6
| Evidence item | W+ | S(W+) | W- | S(W-) | C |
| pt1h41 | 1.129629 | 0.02298 | -0.43017 | 0.009819 | 1.559801 |
| pt1h42 | 0.824026 | 0.021961 | -0.42661 | 0.009894 | 1.250636 |
| pt1h43 | 2.250781 | 0.011027 | -1.7177 | 0.018829 | 3.968476 |
| Isodensity | 0.740434 | 0.011743 | -0.97713 | 0.01424 | 1.717561 |
| Fracture | 0.987134 | 0.035712 | -0.34459 | 0.009315 | 1.331725 |
| It is broken buffer area 1 | 0.986733 | 0.025439 | -0.39723 | 0.009648 | 1.383961 |
| Orientation abnormality degree | 0.954354 | 0.015137 | -0.63972 | 0.011288 | 1.594078 |
| Lamprophyre | 3.338499 | 0.04098 | -0.36825 | 0.009347 | 3.706746 |
| Gabbro | 2.144525 | 0.021952 | -0.49141 | 0.010009 | 2.63593 |
| Frequency | 0.779372 | 0.011729 | -0.9925 | 0.014282 | 1.77187 |
| The different coefficient of rock mass point | 2.669549 | 0.102315 | -0.30415 | 0.009049 | 2.973695 |
| Main fault | 0.76409 | 0.010008 | -1.73035 | 0.021764 | 2.49444 |
The size of posterior probability is expressed as the size of mine probability.It is true according to posterior probability values size bond area actual conditions
Determine Prospecting foreground zone.Posterior probability calculation formula:
Wherein, L (D | B)=L (D)+W+,This research of this research Fuzzy processing (two condition is carried out at the advantageous predictive factor of mine by what is extracted before according to " concealed orebody quantitative forecast system "
Assignment), after null value is filled with 0, obtain calculate posterior probability table, by it by the size of posterior probability from 0.2 by 0.05 section
Equal part, which obtains posterior probability screening table, see the table below 7,
Table 7
| Posterior probability | Number of blocks | Ore body number | Block ratio | Ore body ratio | Ratio containing mine |
| > 0.2 | 264321 | 10403 | 0.287525 | 0.832307 | 2.894723 |
| > 0.25 | 262578 | 10396 | 0.285629 | 0.831747 | 2.911978 |
| > 0.3 | 235794 | 10255 | 0.256494 | 0.820466 | 3.19877 |
| > 0.35 | 217187 | 10173 | 0.236254 | 0.813905 | 3.445048 |
| > 0.4 | 209598 | 10154 | 0.227998 | 0.812385 | 3.563117 |
| > 0.45 | 206789 | 10151 | 0.224943 | 0.812145 | 3.610451 |
| > 0.5 | 200464 | 10124 | 0.218063 | 0.809985 | 3.714461 |
| > 0.55 | 196097 | 10094 | 0.213312 | 0.807585 | 3.785929 |
| > 0.6 | 191050 | 10073 | 0.207822 | 0.805904 | 3.877858 |
| > 0.65 | 159241 | 9937 | 0.173221 | 0.795024 | 4.58966 |
| > 0.7 | 119143 | 9832 | 0.129602 | 0.786623 | 6.069507 |
| > 0.75 | 99925 | 9642 | 0.108697 | 0.771422 | 7.096972 |
| > 0.8 | 92259 | 9517 | 0.100358 | 0.761421 | 7.587023 |
| > 0.85 | 79129 | 9373 | 0.086076 | 0.7499 | 8.712104 |
| > 0.9 | 67045 | 9139 | 0.072931 | 0.731178 | 10.02565 |
| > 0.95 | 48176 | 7441 | 0.052405 | 0.595328 | 11.36006 |
| > 0.96 | 36699 | 5579 | 0.039921 | 0.446356 | 11.18104 |
| > 0.97 | 12465 | 2031 | 0.013559 | 0.162493 | 11.98389 |
| > 0.98 | 7214 | 1294 | 0.007847 | 0.103528 | 13.19284 |
| > 0.99 | 2538 | 574 | 0.002761 | 0.045924 | 16.63414 |
Information Contents Method is also one of mineral products statistical forecast common method.Before first calculating the metallogenic prognosis established because
The ore information amount that son provides realizes the MINERAL PREDICTION and appraisal for quantitatively determining probability.This research still needs to first carry out
Data obfuscation pretreatment carries out two condition assignment at mine advantage factor.Its mathematical principle are as follows:
Wherein, IA(B)Refer to and refers to the information content p (A/B) at the corresponding known ore body B of mine advantage factor A in mine
The probability that A occurs under conditions of body B has existed, p (A) refer to the probability that A occurs in all cubes of blocks.Due to data
To measure huge, confidence level is higher, overall probability can be estimated by sample frequency in principle,
Wherein, NjIndicate that the sum of Rigid Body Element of the mining area Luo Dang containing the B containing ore body at mine advantage factor A, N refer to entirely
The quantity of all ore body unit Bs, S in the mining area Luo DangjRefer to that the mining area Luo Dang includes into the quantity of the Rigid Body Element of mine advantage factor A, S
Indicate the quantity of all block B in the mining area Luo Dang.Resulting information content statistical form is calculated according to " concealed orebody quantitative forecast system ",
It see the table below 8.
Table 8
| Information Level name | Containing number of tag units | Information Level unit number | Information content |
| pt1h41 | 1978 | 36520 | 0.598262 |
| pt1h42 | 2141 | 52847 | 0.472163 |
| pt1h43 | 9580 | 64084 | 1.039183 |
| Fracture | 818 | 17210 | 0.541539 |
| It is broken buffer area 42m | 1613 | 33986 | 0.540901 |
| Lamprophyre | 896 | 2615 | 1.399403 |
| Gabbro | 2387 | 17536 | 0.998489 |
| Isodensity | 7454 | 199522 | 0.436965 |
| Frequency | 7475 | 192984 | 0.452657 |
| Orientation abnormality degree | 4519 | 98649 | 0.525532 |
| Main fault | 10264 | 268542 | 0.446871 |
| The different coefficient of rock mass point | 121 | 573 | 1.19115 |
20 equal points of screenings such as the following table 9 are carried out further according to information content statistical form
| Information content | Number of blocks | Ore body number | Block ratio | Ore body ratio | Ratio containing mine |
| > 0 | 299123 | 12345 | 0.325383 | 0.987679 | 3.035438 |
| > 0.5 | 289209 | 12214 | 0.314598 | 0.977198 | 3.106177 |
| > 1 | 257216 | 11231 | 0.279797 | 0.898552 | 3.211445 |
| > 1.5 | 163412 | 10226 | 0.177758 | 0.818145 | 4.602586 |
| > 2 | 85236 | 9284 | 0.092719 | 0.742779 | 8.0111 |
| > 2.5 | 46723 | 6730 | 0.050825 | 0.538443 | 10.59411 |
| > 3 | 18490 | 3330 | 0.020113 | 0.266421 | 13.24608 |
| > 3.5 | 8729 | 2085 | 0.009495 | 0.166813 | 17.56797 |
| > 4 | 3625 | 808 | 0.003943 | 0.064645 | 16.39394 |
| > 4.5 | 1407 | 374 | 0.001531 | 0.029922 | 19.55049 |
| > 5 | 490 | 168 | 0.000533 | 0.013441 | 25.21699 |
| > 5.5 | 114 | 48 | 0.000124 | 0.00384 | 30.96824 |
| > 6 | 21 | 5 | 2.28E-05 | 0.0004 | 17.5118 |
| > 6.5 | 6 | 4 | 6.53E-06 | 0.00032 | 49.03304 |
| > 7 | 0 | 0 | 0 | 0 | 0 |
| > 7.5 | 0 | 0 | 0 | 0 | 0 |
| > 8 | 0 | 0 | 0 | 0 | 0 |
| > 8.5 | 0 | 0 | 0 | 0 | 0 |
| > 9 | 0 | 0 | 0 | 0 | 0 |
| > 9.5 | 0 | 0 | 0 | 0 | 0 |
This research is created in Block Model using three-dimensional weights-of-evidence method and three-dimensional information amount method joint delineation target area
Constraint, filter out contain much information in 3 and posterior probability be greater than 0.99 region and provided for the embodiment of the present invention 1 referring to Fig. 9
The block of estimation range.
Deeo-Space Metallogenic Predication Study is many and diverse, multistage process, and in each stage of progress, all there may be uncertain for it
Property.Therefore, metallogenic prognosis evaluation should not terminate at the delineation of target area, should also carry out mineral products after realizing " positioning " prediction
The uncertainty during entire metallogenic prognosis is analyzed and evaluated in the appraisal of resources.
The optional embodiment of the embodiment of the present invention further includes evaluating the quantitative forecast result of ore body.
Model of mineral deposit comprehensive geology information volumetric method is to predict a kind of possible ways (Xiao Keyan of resources and reserves estimation
Deng 2010), core is delineation mineralization system and Ore-forming geology body, determines the three-dimensional space range of geology, and also combine ground
Matter information builds structural analysis.
This paper carries out resources and reserves estimation and uses following methods:
C=∑ ρ × V × g × m
Wherein C indicates prediction resource potential；V indicates the volume contained in drawn a circle to approve target area at mine Favorable Areas, Ke Yitong
Cross into number N × block volume (21m × 21m × 21m=9261m 3) of mine Favorable Areas；It, can for the average weight of rock in area
By consulting the prospecting report in research area, the spatial position in conjunction with where target prospecting area has been obtained at the lithologic character of mine favorable block
?.G is average grade value in cell block body, according to target prospecting area adjacent to the determination of known ore body；M is ore-bearing rate i.e. this research
Use the ratio at the advantageous block of mine and the total block of the total block in target area.It calculates, target area reserve estimate is 433.889t.
The embodiment of the present invention has the advantages that
The embodiment of the present invention provides a kind of concealed orebody quantitative forecasting technique and device, and this method combines nowadays popular mine
Three position prediction technology of resource, traditional geological theory and the research existing data information in area are produced, mathematical geology and computer are utilized
Technology scheduling theory and method carry out the prediction and appraisal of region deep mineral resources.It solves due to three-dimensional prediction technology
The lower problem of forecasting efficiency caused by the accuracy of detection is not high.
Another aspect of the present invention also provides a kind of concealed orebody quantitative forecast device, which is characterized in that including determining mould
Block, foundation look for mine geological model module, establish three-dimensional geological physical model module, three-dimensional Ore-forming geology abnormal space reconstruct mould
Block establishes region quantification prediction model module, concealed orebody area delineation prediction module；The determining module is for determining research
Region；It is described foundation look for mine geological model module for establish look for mine geological model；It is described to establish three-dimensional geological physical model mould
Block is used to obtain each geologic elements of the survey region and establishes three-dimensional geological physical model；The three-dimensional Ore-forming geology is abnormal
Space Reconstruction module is used to look for mine geological model as foundation using described, extracts geologic anomaly information, carries out to the survey region
Three-dimensional Ore-forming geology abnormal space reconstruct；The region quantification prediction model module of establishing is for obtaining into mine advantageous information
Quantification distributed area establishes region quantification prediction model；The concealed orebody area delineation prediction module is used for concealed orebody
Area's delineation prediction, to realize the quantitative forecast of ore body.
Further, further includes: evaluation module is evaluated for the quantitative forecast result to ore body.
Further, the three-dimensional Ore-forming geology abnormal space reconstructed module further includes analytical calculation module, for using
Statistic algorithm is analyzed the geologic anomaly information, is calculated, and the quantification distributed area of the geologic anomaly information is obtained.
Further, further include continuous interpolation area by the quantification prediction model of foundation based on information Contents Method to delimitation
Domain carries out going delineation prediction work at target.
Further, establishing and looking for mine geological model module includes data obtaining module, for obtaining the earth in survey region
Tectonic setting information, mineralogenetic epoch information, mineralization types information and genetic type information；
Prediction module, for being based on information by the quantification prediction model established by the tectonics back to research area
Amount method carries out the continuous interpolation area of delimitation to go delineation prediction work at target；
Correlating module, for Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and the origin cause of formation
Type information carries out correlation analysis；
Ore-search models establish module, for according to research area's real data data, that establishes the research area to look for mine mould
Type.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of concealed orebody quantitative forecasting technique, which is characterized in that comprising steps of
Determine survey region；
Mine geological model is looked in foundation；
It obtains each geologic elements of the survey region and establishes three-dimensional geological physical model；
It looks for mine geological model as foundation using described, extracts geologic anomaly information, three-dimensional Ore-forming geology is carried out to the survey region
Abnormal space reconstruct；
The quantification distributed area for obtaining into mine advantageous information establishes region quantification prediction model；
Concealed orebody area delineation prediction, to realize the quantitative forecast of ore body.
2. the method according to claim 1, wherein further including evaluating the quantitative forecast result of ore body.
3. the method according to claim 1, wherein include using statistic algorithm to it is described at mine advantageous information into
Row analysis calculates, and obtains the quantification distributed area at mine advantageous information.
4. the method according to claim 1, wherein including being based on information by the quantification prediction model of foundation
Amount method carries out the continuous interpolation area of delimitation to go delineation prediction work at target.
5. the method according to claim 1, wherein look for the foundation of mine geological model the following steps are included:
Obtain Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and genetic type information in survey region；
Pass through the quantification prediction model established based on information Contents Method to the continuous of delimitation by the tectonics back to research area
Interpolation area carries out going delineation prediction work at target；
Correlation analysis is carried out to Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and genetic type information；
According to research area's real data data, the ore-search models in the research area are established.
6. a kind of concealed orebody quantitative forecast device, which is characterized in that including determining module, establish look for mine geological model module,
It establishes three-dimensional geological physical model module, three-dimensional Ore-forming geology abnormal space reconstructed module, establish region quantification prediction model
Prediction module is drawn a circle to approve in module, concealed orebody area；The determining module is for determining survey region；Mine geological model is looked in the foundation
Module looks for mine geological model for establishing；The three-dimensional geological physical model module of establishing is for obtaining each of the survey region
Geologic elements simultaneously establish three-dimensional geological physical model；The three-dimensional Ore-forming geology abnormal space reconstructed module is used to look for mine with described
Geological model is foundation, extracts geologic anomaly information, carries out three-dimensional Ore-forming geology abnormal space reconstruct to the survey region；Institute
It states and establishes region quantification prediction model module for obtaining the quantification distributed area at mine advantageous information, it is quantitative to establish region
Change prediction model；The concealed orebody area delineation prediction module is for the delineation prediction of concealed orebody area, to realize quantifying for ore body
Prediction.
7. device according to claim 6, which is characterized in that further include: evaluation module, for the quantitative forecast to ore body
As a result it is evaluated.
8. device according to claim 6, which is characterized in that the region quantification prediction model module of establishing further includes
Analytical calculation module obtains described at mine for including being analyzed, being calculated at mine advantageous information to described using statistic algorithm
The quantification distributed area of advantageous information.
9. device according to claim 6, which is characterized in that further include being based on letter by the quantification prediction model of foundation
Breath amount method carries out the continuous interpolation area of delimitation to go delineation prediction work at target.
10. device according to claim 6, which is characterized in that it includes acquisition of information mould that mine geological model module is looked in foundation
Block, for obtaining Geotectonic Setting information in survey region, mineralogenetic epoch information, mineralization types information and genetic type letter
Breath；
Prediction module, for being based on information Contents Method by the quantification prediction model established by the tectonics back to research area
The continuous interpolation area of delimitation is carried out to go delineation prediction work at target；
Correlating module, for Geotectonic Setting information, mineralogenetic epoch information, mineralization types information and genetic type
Information carries out correlation analysis；
Ore-search models establish module, for establishing the ore-search models in the research area according to research area's real data data.
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| CN111859811A (en) * | 2020-07-30 | 2020-10-30 | 中国地质科学院矿产资源研究所 | Ore formation prediction method and system based on fuzzy logic and machine learning |
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| CN112069682A (en) * | 2020-09-07 | 2020-12-11 | 辽宁工程技术大学 | Ore formation prediction method based on three-dimensional modeling |
| CN112380674A (en) * | 2020-10-27 | 2021-02-19 | 核工业北京地质研究院 | Deposit prediction method based on digital geological model |
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| CN112711646A (en) * | 2021-01-11 | 2021-04-27 | 中国地质大学（北京） | Geological information-based mining method and device, electronic equipment and storage medium |
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| CN113075729A (en) * | 2021-03-19 | 2021-07-06 | 山东省地质矿产勘查开发局第六地质大队(山东省第六地质矿产勘查院) | Three-dimensional positioning method for mineral-forming position of fractured seepage alternating type mineralized deep mineral deposit |
| CN113075729B (en) * | 2021-03-19 | 2022-12-27 | 山东省地质矿产勘查开发局第六地质大队(山东省第六地质矿产勘查院) | Three-dimensional positioning method for mineral-forming position of fractured seepage alternating type mineralized deep mineral deposit |
| CN113536535A (en) * | 2021-06-07 | 2021-10-22 | 中国地质大学（北京） | Ore formation simulation method and device for ore formation research area |
| CN113536535B (en) * | 2021-06-07 | 2023-05-16 | 中国地质大学（北京） | Ore formation simulation method and device for ore formation research area |
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| CN113656980A (en) * | 2021-08-26 | 2021-11-16 | 中国地质科学院地质力学研究所 | Method and system for determining mining property of fracture area |
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| CN115907151A (en) * | 2022-11-21 | 2023-04-04 | 自然资源陕西省卫星应用技术中心 | Intelligent mineralization prediction method based on geological big data |
| CN115879648A (en) * | 2023-02-21 | 2023-03-31 | 中国地质科学院 | Machine learning-based ternary deep mineralization prediction method and system |
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| CN117649258A (en) * | 2023-10-24 | 2024-03-05 | 四川省地质矿产勘查开发局二零七地质队 | Deep hidden sediment type phosphorite prospecting prediction model |
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