CN113656980A - Method and system for determining mining property of fracture area - Google Patents
Method and system for determining mining property of fracture area Download PDFInfo
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- CN113656980A CN113656980A CN202110985949.1A CN202110985949A CN113656980A CN 113656980 A CN113656980 A CN 113656980A CN 202110985949 A CN202110985949 A CN 202110985949A CN 113656980 A CN113656980 A CN 113656980A
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Abstract
The application provides a method and a system for determining the mining property of a fracture area, wherein the determination method comprises the following steps: acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fracture region to be researched; inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals; and sending the evaluation result to a user side so that the user of the user side rechecks the evaluation result. According to the method, whether the fracture area to be researched contains the ore is judged through the obtained various geological attribute characteristics under various geological constraint conditions in the fracture area to be researched, so that a basis is provided for the quantitative geological evaluation of the ore containing phenomenon.
Description
Technical Field
The application relates to the technical field of geological data analysis, in particular to a method and a system for determining the mineralization of a fracture area.
Background
In geoscience research, fracture (Fault) is a manifestation of the loss of continuity and integrity of a body under geological stress, of the type including fractures, joints, faults, and the like. The product of tectonic movement has close generative connection with geological events such as mineralization, earthquake, geological disaster and the like and the formation and distribution of special geomorphic landscapes. Fractures are characterized by non-linearity and complexity as a result of the co-operation of multiple geological processes in a geological system.
Fracture is an important information source in quantitative prediction and evaluation of mineral resources, so how to determine whether a fracture area is beneficial to ore control, ore containing or ore finding based on geological data of the fracture area is a technical problem which needs to be solved urgently by a person skilled in the art.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method and a system for determining the mining-containing property of a fracture region, wherein whether the fracture region to be researched contains ore is determined by obtaining multiple geological attribute characteristics under multiple geological constraints in the fracture region to be researched, so as to provide a basis for quantitatively evaluating the mining-containing phenomenon in a geological manner.
The embodiment of the application provides a method for determining the mining content of a fracture area, which comprises the following steps:
acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fracture region to be researched;
inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals;
and sending the evaluation result to a user side so that the user of the user side rechecks the evaluation result.
Optionally, the ore-containing evaluation model is constructed by the following method:
determining at least one fracture area containing ore and at least one fracture area not containing ore, and acquiring an ore-containing label of each fracture area;
aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance;
analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data;
and taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
Optionally, the geological constraint conditions related to ore inclusion include fracture time attribute, fracture section trend, fracture section area ore inclusion dominance, fracture section local ore inclusion dominance, fracture section directional singularity index, fracture section affected by fold structure ore inclusion, fracture section affected by oreforming stratum and local spatial fracture complexity.
Optionally, the analyzing, by using a corresponding analysis method, each geological data of each fracture area to obtain the geological attribute features under the geological data includes:
aiming at each geological data of each fracture area, determining an analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data;
and aiming at each geological data of each fracture area, analyzing and processing the geological data by using an analysis method corresponding to the geological data to obtain the geological attribute characteristics under the geological data.
Optionally, the acquiring geological data of the fracture region under each geological constraint condition includes:
when the geological constraint condition is the fracture time attribute, the geological data under the fracture time attribute of the obtained fracture region is a geological map of the fracture region;
when the geological constraint condition is the trend of the fracture section, the geological data under the trend of the fracture section of the fracture area is obtained as a geological map of the fracture area;
when the geological constraint condition is the mineral advantages of the fracture section area, the geological data under the mineral advantages of the fracture section area of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the local mineral dominance of the fracture section, the geological data under the local mineral dominance of the fracture section of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the directional singularity index of the fracture section, the geological data under the directional singularity index of the fracture section of the fracture area is geochemical element space sampling analysis data of the fracture area;
when the geological constraint condition is that the fracture section is affected by folded structure ore containing, the geological data of the fracture section of the fracture area under the influence of folded structure ore containing is obtained as a geological map of the fracture area;
when the geological constraint condition is that the fracture section is influenced by an assigned stratum, the geological data of the fracture area under the influence of the assigned stratum is obtained as a geological map of the fracture area;
and when the geological constraint condition is the local space fracture complexity, acquiring geological data of the fracture region under the local space fracture complexity as a geological map of the fracture region.
Optionally, the determining, according to the geological constraint condition corresponding to the geological data, an analysis method corresponding to the geological data includes:
when the geological constraint condition corresponding to the geological data is the fracture time attribute, the analysis method corresponding to the geological data comprises at least one of an intersection analysis technology and a statistical analysis technology;
when the geological constraint condition corresponding to the geological data is the trend of the fracture section, the analysis method corresponding to the geological data comprises at least one of a pre-edited analysis program and a least square method technology;
when the geological constraint condition corresponding to the geological data is the ore-bearing advantage of the fracture section area, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the local mineral dominance of the fracture section, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the directional singularity index of the fractured segment, the analysis method corresponding to the geological data comprises at least one of a principal component analysis technology and a directional singularity analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the fold structure containing minerals, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the assigned mining stratum, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is the complexity of the local space fracture, the analysis method corresponding to the geological data comprises at least one of box-dimension fractal technology and intersection analysis technology.
The embodiment of the present application further provides a system for determining the mining property of a fracture area, where the system for determining the mining property of a fracture area includes:
the acquisition module is used for acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fracture area to be researched;
the evaluation module is used for inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals;
and the result sending module is used for sending the evaluation result to a user side so that the user of the user side can recheck the evaluation result.
Optionally, the determining system further includes a model building module, and the model building module is configured to:
determining at least one fracture area containing ore and at least one fracture area not containing ore, and acquiring an ore-containing label of each fracture area;
aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance;
analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data;
and taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
Optionally, the geological constraint conditions related to ore inclusion include fracture time attribute, fracture section trend, fracture section area ore inclusion dominance, fracture section local ore inclusion dominance, fracture section directional singularity index, fracture section affected by fold structure ore inclusion, fracture section affected by oreforming stratum and local spatial fracture complexity.
Optionally, when the model building module is configured to, for each geological data of each fracture region, analyze and process the geological data by using a corresponding analysis method, and obtain a geological attribute feature under the geological data, the model building module is configured to:
aiming at each geological data of each fracture area, determining an analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data;
and aiming at each geological data of each fracture area, analyzing and processing the geological data by using an analysis method corresponding to the geological data to obtain the geological attribute characteristics under the geological data.
Optionally, when the model building module is configured to obtain geological data of the fracture region under each geological constraint condition, the model building module is configured to:
when the geological constraint condition is the fracture time attribute, the geological data under the fracture time attribute of the obtained fracture region is a geological map of the fracture region;
when the geological constraint condition is the trend of the fracture section, the geological data under the trend of the fracture section of the fracture area is obtained as a geological map of the fracture area;
when the geological constraint condition is the mineral advantages of the fracture section area, the geological data under the mineral advantages of the fracture section area of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the local mineral dominance of the fracture section, the geological data under the local mineral dominance of the fracture section of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the directional singularity index of the fracture section, the geological data under the directional singularity index of the fracture section of the fracture area is geochemical element space sampling analysis data of the fracture area;
when the geological constraint condition is that the fracture section is affected by folded structure ore containing, the geological data of the fracture section of the fracture area under the influence of folded structure ore containing is obtained as a geological map of the fracture area;
when the geological constraint condition is that the fracture section is influenced by an assigned stratum, the geological data of the fracture area under the influence of the assigned stratum is obtained as a geological map of the fracture area;
and when the geological constraint condition is the local space fracture complexity, acquiring geological data of the fracture region under the local space fracture complexity as a geological map of the fracture region.
Optionally, when the model building module is configured to determine the analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data, the model building module is configured to:
when the geological constraint condition corresponding to the geological data is the fracture time attribute, the analysis method corresponding to the geological data comprises at least one of an intersection analysis technology and a statistical analysis technology;
when the geological constraint condition corresponding to the geological data is the trend of the fracture section, the analysis method corresponding to the geological data comprises at least one of a pre-edited analysis program and a least square method technology;
when the geological constraint condition corresponding to the geological data is the ore-bearing advantage of the fracture section area, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the local mineral dominance of the fracture section, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the directional singularity index of the fractured segment, the analysis method corresponding to the geological data comprises at least one of a principal component analysis technology and a directional singularity analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the fold structure containing minerals, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the assigned mining stratum, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is the complexity of the local space fracture, the analysis method corresponding to the geological data comprises at least one of box-dimension fractal technology and intersection analysis technology.
An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the method for determining the mineralization of a fracture region as described above.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the steps of the method for determining the mining property of a fracture area as described above.
The method and the system for determining the mining content of the fracture area, provided by the embodiment of the application, are used for obtaining the geological attribute characteristics corresponding to at least one geological constraint condition related to mining content in the fracture area to be researched; inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals; and sending the evaluation result to a user side so that the user of the user side rechecks the evaluation result.
Therefore, the method judges whether the fracture area is beneficial to ore control or ore inclusion from a multi-geography evaluation angle through the obtained various geography attribute characteristics under various geography constraint conditions related to ore inclusion in the fracture area and a pre-trained ore inclusion evaluation model, and obtains higher evaluation result recognition degree through favorable geological information complementation, thereby providing a basis for quantitatively evaluating special geological phenomena for geography.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for determining the mineralization of a fracture area according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for constructing a mineral-containing evaluation model according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a system for determining the mineralization of a fracture area according to an embodiment of the present application;
fig. 4 is a second schematic structural diagram of a system for determining the mineralization of a fracture area according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
It has been found that in geoscience research, fracture (Fault) is a manifestation of the loss of continuity and integrity of a body under the action of geological stress, and the types include fractures, joints, faults and the like. The product of tectonic movement has close generative connection with geological events such as mineralization, earthquake, geological disaster and the like and the formation and distribution of special geomorphic landscapes. Fractures are characterized by non-linearity and complexity as a result of the co-operation of multiple geological processes in a geological system.
Fracture is an important information source in quantitative prediction and evaluation of mineral resources, so how to determine whether a fracture area contains ore, is beneficial to ore formation or is beneficial to ore finding based on geological data of the fracture area is a technical problem which needs to be solved urgently by a person skilled in the art.
Based on this, the embodiment of the application provides a method for determining the mining content of a fracture area, which is used for judging whether the fracture area to be researched contains the mine or not through the acquired multiple geological attribute characteristics under the multiple geological constraint conditions in the fracture area to be researched, so that a basis is provided for the quantitative geological evaluation of the mining content.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for determining the mineralization of a fracture area according to an embodiment of the present disclosure. As shown in fig. 1, a method for determining the mineralization of a fracture area provided in an embodiment of the present application includes:
s101, acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fractured zone to be researched.
Determining a fracture area to be researched and a geological phenomenon to be researched according to research requirements of researchers, wherein the determined geological phenomenon to be researched is a fracture area ore-containing phenomenon; after determining whether the fracture area to be researched and the geological phenomenon to be researched are ore-bearing or not, acquiring respective corresponding geological attribute characteristics under at least one geological constraint condition related to the ore-bearing formation in the selected fracture area to be researched.
Here, the determination of the at least one geoscience constraint in the fracture zone to be studied as to whether ore is contained may be a specific number of geoscience constraints predetermined by experts in the field based on experience; or determining an importance coefficient of the geological attribute characteristics corresponding to each geological constraint condition for controlling mineralization in the training process of the machine learning model, then selecting a plurality of geological constraint conditions with the importance coefficients in front, acquiring geological data corresponding to each constraint condition, and then acquiring corresponding geological attribute characteristics from the acquired geological data. The fracture area to be researched can be a geographical position where fracture occurs on the earth at will, the fracture area to be researched can be a local fracture position in the whole fracture zone, and can be an area corresponding to one fracture section, and the mineral-containing means mineral products. Wherein the specific fracture architecture within the fracture zone determines whether the fracture zone contains mineral products.
The geological phenomena to be studied in the above steps are the characteristics of the fracture region containing minerals, and other geological phenomena, such as geological disasters, ecological resource conditions, earthquakes, and the like, may be optionally studied. The geological phenomena are different in corresponding selected geological constraint conditions and corresponding acquired geological attribute features.
Optionally, the geological constraint conditions related to ore inclusion include fracture time attribute, fracture section trend, fracture section area ore inclusion dominance, fracture section local ore inclusion dominance, fracture section directional singularity index, fracture section affected by fold structure ore inclusion, fracture section affected by oreforming stratum and local spatial fracture complexity.
In this step, when the fracture region is studied for ore inclusion, the relationship between the fracture structure, which is the content of the fracture region, and the control of ore formation is studied. Geological constraints related to controlling the ore formation generally comprise eight geological constraints including fracture time attribute, fracture section trend, fracture section area ore containing advantage, fracture section local ore containing advantage, fracture section orientation singularity index, fracture section affected by fold structure ore containing, fracture section affected by ore-bearing stratum and local space fracture complexity.
Here, several geological constraints can be selected from eight geological constraints, and based on the geological attribute features corresponding to the selected geological constraints, it is determined whether the selected fracture region to be studied contains mineral products, that is, whether the fracture region to be studied can form mineral deposits.
S102, inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained ore-containing evaluation model, and acquiring an evaluation result of whether the fracture area to be researched contains ore.
In the step, each geological constraint condition influencing the mining of the fracture area is determined, and after geological attribute features corresponding to each geological constraint condition are obtained, a plurality of geological attribute features are obtained, then at least one obtained geological attribute feature is input into a pre-trained mineral-containing evaluation model, and the mineral-containing evaluation model obtains an evaluation result of whether the fracture area to be researched contains mineral products or not based on the input at least one geological attribute feature of the fracture area to be researched.
The mining-containing evaluation model is formed by training based on geological attribute characteristics corresponding to two classification mining-containing labels and multiple geological constraint conditions influencing the formation of mineral deposits, and learns the implicit relationship between a fracture area containing the mineral products and the geological attribute characteristics corresponding to the fracture area.
Wherein one geography constraint condition corresponds to one geography attribute feature. The evaluation results were two categories including ore-bearing and ore-free.
It should be noted that, by using the ore-containing evaluation model, it can be determined that the fracture region under study is considered to contain ore when the probability of forming ore deposit in the fracture region under study is higher than the threshold probability, and the fracture region is considered to not contain ore when the probability of forming ore deposit in the fracture region under study is not higher than the threshold probability.
Optionally, referring to fig. 2, fig. 2 is a flowchart of a method for constructing an ore-containing evaluation model according to an embodiment of the present application, and as shown in fig. 2, the method for constructing an ore-containing evaluation model according to the embodiment of the present application includes:
s201, determining at least one fracture area containing ore and at least one fracture area not containing ore, and obtaining an ore containing label of each fracture area.
In this step, at least one fracture area containing mineral products and at least one fracture area containing no mineral products are determined based on expert experience or literature records before the mineral-containing evaluation model is constructed.
Here, the geographical location of the fracture area may be selected from a geographical area of a certain country, or may be selected from a global geographical area range, which is not limited herein.
After the fracture area containing the mineral and the fracture area not containing the mineral are determined, the mineral-containing labels are obtained, wherein the mineral-containing labels are two classification labels, the mineral-containing labels corresponding to the fracture area containing the mineral are obtained, and the mineral-free labels corresponding to the fracture area not containing the mineral are obtained.
S202, aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance.
In the step, after a fracture area for constructing the ore-bearing evaluation model is determined, for each selected fracture area, geological data corresponding to each geological constraint condition of the fracture area is obtained according to at least one predetermined geological constraint condition having a large influence on controlling ore formation, and various geological data can be obtained.
Here, one geological constraint corresponds to one geological data; the acquisition of geological data can be obtained from various channels such as related files, data and reports.
Optionally, the acquiring geological data of the fracture region under each geological constraint condition includes: when the geological constraint condition is the fracture time attribute, the geological data under the fracture time attribute of the obtained fracture region is a geological map of the fracture region; when the geological constraint condition is the trend of the fracture section, the geological data under the trend of the fracture section of the fracture area is obtained as a geological map of the fracture area; when the geological constraint condition is the mineral advantages of the fracture section area, the geological data under the mineral advantages of the fracture section area of the fracture area is obtained as spatial distribution data of mineral deposits; when the geological constraint condition is the local mineral dominance of the fracture section, the geological data under the local mineral dominance of the fracture section of the fracture area is obtained as spatial distribution data of mineral deposits; when the geological constraint condition is the directional singularity index of the fracture section, the geological data under the directional singularity index of the fracture section of the fracture area is geochemical element space sampling analysis data of the fracture area; when the geological constraint condition is that the fracture section is affected by folded structure ore containing, the geological data of the fracture section of the fracture area under the influence of folded structure ore containing is obtained as a geological map of the fracture area; when the geological constraint condition is that the fracture section is influenced by an assigned stratum, the geological data of the fracture area under the influence of the assigned stratum is obtained as a geological map of the fracture area; and when the geological constraint condition is the local space fracture complexity, acquiring geological data of the fracture region under the local space fracture complexity as a geological map of the fracture region.
It should be noted that, when the geological constraint condition is fracture time attribute, the original complete fracture data is taken as an independent object, and the obtained geological data is geological data of the whole fracture area and is obtained continuously (fracture is not obtained in a segmented manner); when the geological constraint conditions are the trend of the fracture section, the ore containing advantage of the fracture section area, the local ore containing advantage of the fracture section, the directional singularity index of the fracture section, the influence of the fracture section on the ore containing of the fold structure, the influence of the fracture section on the mineralized stratum or the fracture complexity of the local space, each original fracture object is sequentially divided into a plurality of fracture sections, geological data is obtained in a segmented mode, and therefore the geological attribute characteristics can be obtained.
And S203, analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data.
In the step, for each geological data of each selected fracture area, the geological data is analyzed according to an analysis method corresponding to the geological data, and after the analysis, the geological attribute characteristics under the geological data are obtained.
Here, the analysis methods corresponding to different types of geological data may be the same or different.
Optionally, the analyzing, by using a corresponding analysis method, each geological data of each fracture area to obtain the geological attribute features under the geological data includes: aiming at each geological data of each fracture area, determining an analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data; and aiming at each geological data of each fracture area, analyzing and processing the geological data by using an analysis method corresponding to the geological data to obtain the geological attribute characteristics under the geological data.
In this step, for each geological data of each fracture area, analyzing and processing the geological data by using a corresponding analysis method to obtain the geological attribute characteristics under the geological data, which may specifically include the following steps: any geological data is acquired under corresponding geological constraint conditions, each geological constraint condition has a corresponding geological data analysis method, and for each geological data of each fracture area, according to the geological constraint condition analysis method corresponding to the geological data, the geological data corresponding analysis method is determined, and the geological data corresponding analysis method is determined; and analyzing and processing the geological data by using an analysis method corresponding to the geological data aiming at each geological data to obtain respective geological attribute characteristics of each geological data.
Optionally, the determining, according to the geological constraint condition corresponding to the geological data, an analysis method corresponding to the geological data includes: when the geological constraint condition corresponding to the geological data is the fracture time attribute, the analysis method corresponding to the geological data comprises at least one of an intersection analysis technology and a statistical analysis technology; when the geological constraint condition corresponding to the geological data is the trend of the fracture section, the analysis method corresponding to the geological data comprises at least one of a pre-edited analysis program and a least square method technology; when the geological constraint condition corresponding to the geological data is the ore-bearing advantage of the fracture section area, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm; when the geological constraint condition corresponding to the geological data is the local mineral dominance of the fracture section, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm; when the geological constraint condition corresponding to the geological data is the directional singularity index of the fractured segment, the analysis method corresponding to the geological data comprises at least one of a principal component analysis technology and a directional singularity analysis technology; when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the fold structure containing minerals, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology; when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the assigned mining stratum, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology; when the geological constraint condition corresponding to the geological data is the complexity of the local space fracture, the analysis method corresponding to the geological data comprises at least one of box-dimension fractal technology and intersection analysis technology.
In the step, when the obtained geological data is obtained under the geological constraint condition of fracture time attribute, the geological data is a geological map of a fracture area, the corresponding analysis method comprises at least one of an intersection analysis technology and a statistical analysis technology, and the preprocessing result of the geological map of the fracture area is analyzed and processed by using at least one of the intersection analysis technology and the statistical analysis technology, so that the geological attribute feature corresponding to the geological data is obtained. The preprocessing refers to the preparation processing of the analytical pre-ground data by adopting at least one of geological map geographical projection, spatial correction, stratum element vectorization, fracture element vectorization, stratum vector element geological code entry and stratum vector element top and bottom geological age numerical value entry.
When the obtained geological data is obtained under the geological constraint condition of the trend of the fracture section, the geological data is a geological map of the fracture area, the corresponding analysis method comprises at least one of a pre-edited analysis program and a least square method technology, and the pre-processing result of the geological map of the fracture area is analyzed and processed by using at least one of the pre-edited analysis program and the least square method technology, so that the geological attribute characteristics corresponding to the geological data are obtained. Preprocessing here refers to preparation of the pre-analysis data by at least one of geo-projection of geological maps, spatial correction, and vectorization of fracture elements.
When the obtained geological data is obtained under the geological constraint condition of the mining superiority of the fracture section area, the geological data is spatial distribution data of the mineral deposit, the corresponding analysis method comprises at least one of a Fry analysis technology and a data normalization algorithm, and the preprocessing result of the spatial distribution data of the mineral deposit is analyzed and processed by using at least one of the Fry analysis technology and the data normalization algorithm, so that the geological attribute characteristics corresponding to the geological data are obtained. Preprocessing here refers to pre-analysis data preparation processing by at least one of geo-projection of geological maps, spatial correction, and mineral deposit element vectorization.
When the obtained geological data is obtained under the geological constraint condition of local mineral containing advantages of the fracture section, the geological data is spatial distribution data of the mineral deposit, the corresponding analysis method comprises at least one of a Fry analysis technology and a data normalization algorithm, and the preprocessing result of the spatial distribution data of the mineral deposit is analyzed and processed by using at least one of the Fry analysis technology and the data normalization algorithm, so that the geological attribute characteristics corresponding to the geological data are obtained. Preprocessing here refers to pre-analysis data preparation processing by at least one of geo-projection of geological maps, spatial correction, and mineral deposit element vectorization.
When the obtained geological data is obtained under the geological constraint condition of the directional singularity index of the fracture section, the geological data is geochemical element space sampling analysis data of the fracture area, the corresponding analysis method comprises at least one of a principal component analysis technology and a directional singularity analysis technology, and the preprocessing result of the geochemical element space sampling analysis data of the fracture area is analyzed and processed by using at least one of the principal component analysis technology and the directional singularity analysis technology, so that the geological attribute characteristics corresponding to the geological data are obtained. Preprocessing here refers to a pre-analysis data preparation process that employs at least one of a geochemical data space projection and data encryption interpolation.
When the obtained geological data is obtained under the geological constraint condition that the fracture section is affected by fold structure containing minerals, the geological data is a geological map of a fracture area, the corresponding analysis method comprises at least one of a buffer area analysis technology and an intersection analysis technology, and the preprocessing result of the geological map of the fracture area is analyzed and processed by using at least one of the buffer area analysis technology and the intersection analysis technology, so that the geological attribute characteristics corresponding to the geological data are obtained. The preprocessing refers to the preparation and processing of the pre-analysis data by adopting at least one of geological map geographical projection, spatial correction, fracture element vectorization, fold axis element vectorization and fold axis element property attribute recording.
When the obtained geological data is obtained under the geological constraint condition that the fracture section is affected by the mine-assigned stratum, the geological data is a geological map of the fracture area, the corresponding analysis method comprises at least one of a buffer area analysis technology and an intersection analysis technology, and the preprocessing result of the geological map of the fracture area is analyzed and processed by using at least one of the buffer area analysis technology and the intersection analysis technology, so that the geological attribute characteristics corresponding to the geological data are obtained. The preprocessing refers to the preparation and processing of the pre-analysis ground data by adopting at least one of geological map geographical projection, spatial correction, stratum element vectorization, fracture element vectorization and stratum vector element geological code entry.
When the obtained geological data is obtained under the geological constraint condition of local space fracture complexity, the geological data is a geological map of a fracture area, the corresponding analysis method comprises at least one of a box-dimension method fractal technology and an intersection analysis technology, and the preprocessing result of the geological map of the fracture area is analyzed and processed by using at least one of the box-dimension method fractal technology and the intersection analysis technology, so that the geological attribute characteristics corresponding to the geological data are obtained. Preprocessing here refers to pre-analysis data preparation processing by at least one of geo-projection of geological maps, spatial correction, and fracture element vectorization.
S204, taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
In the step, at least one geological attribute feature corresponding to at least one obtained ore-containing fracture area and at least one geological attribute feature corresponding to at least one ore-free fracture area are used as input features of an ore-containing evaluation model, an ore-containing label or an ore-free label corresponding to each fracture area is used as an output feature of the ore-containing evaluation model, a machine learning model is trained, and when a preset model training end condition is met, the training is ended to obtain the ore-containing evaluation model.
Thus, the trained mineral-containing evaluation model learns the relationship between the geological attribute characteristics and whether the fracture area contains mineral products.
S103, sending the evaluation result to a user side so that the user of the user side can recheck the evaluation result.
In the step, after the ore-containing evaluation model obtains the evaluation result, the obtained evaluation result is sent to the user side, and the user side displays the received evaluation result to the user so that the user can recheck the evaluation result.
Here, when the user at the user side rechecks the evaluation result, the user may directly recheck the evaluation result based on expert experience, or may perform field verification for rechecking, which is not limited herein.
The method and the system for determining the mining content of the fracture area, provided by the embodiment of the application, are used for obtaining the geological attribute characteristics corresponding to at least one geological constraint condition related to mining content in the fracture area to be researched; inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals; and sending the evaluation result to a user side so that the user of the user side rechecks the evaluation result.
Therefore, the method judges whether the fracture area contains the ore from a multi-geological evaluation angle through the acquired various geological attribute characteristics under various geological constraint conditions related to the ore and the pre-trained ore-containing evaluation model, and obtains higher approval of evaluation results through favorable geological information complementation, thereby providing a basis for quantitative evaluation of special geological phenomena by geology.
Referring to fig. 3 and 4, fig. 3 is a first schematic structural diagram of a system for determining the mining property of a fracture region according to an embodiment of the present disclosure, and fig. 4 is a second schematic structural diagram of a system for determining the mining property of a fracture region according to an embodiment of the present disclosure. As shown in fig. 3, the determination system 300 includes:
an obtaining module 310, configured to obtain geoscience attribute features corresponding to at least one geoscience constraint condition related to ore inclusion in a fracture region to be studied;
the evaluation module 320 is configured to input the geological attribute features corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model, and acquire an evaluation result of whether the fracture area to be researched contains minerals;
the result sending module 330 is configured to send the evaluation result to a user side, so that a user at the user side rechecks the evaluation result.
Optionally, as shown in fig. 4, the determining system 300 further includes a model building module 340, where the model building module 340 is configured to:
determining at least one fracture area containing ore and at least one fracture area not containing ore, and acquiring an ore-containing label of each fracture area;
aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance;
analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data;
and taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
Optionally, the geological constraint conditions related to ore inclusion include fracture time attribute, fracture section trend, fracture section area ore inclusion dominance, fracture section local ore inclusion dominance, fracture section directional singularity index, fracture section affected by fold structure ore inclusion, fracture section affected by oreforming stratum and local spatial fracture complexity.
Optionally, when the model building module 340 is configured to, for each geological data of each fracture region, analyze and process the geological data by using a corresponding analysis method, and obtain the geological attribute features under the geological data, the model building module 340 is configured to:
aiming at each geological data of each fracture area, determining an analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data;
and aiming at each geological data of each fracture area, analyzing and processing the geological data by using an analysis method corresponding to the geological data to obtain the geological attribute characteristics under the geological data.
Optionally, when the model building module 340 is configured to obtain geological data of the fracture region under each geological constraint condition, the model building module 340 is configured to:
when the geological constraint condition is the fracture time attribute, the geological data under the fracture time attribute of the obtained fracture region is a geological map of the fracture region;
when the geological constraint condition is the trend of the fracture section, the geological data under the trend of the fracture section of the fracture area is obtained as a geological map of the fracture area;
when the geological constraint condition is the mineral advantages of the fracture section area, the geological data under the mineral advantages of the fracture section area of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the local mineral dominance of the fracture section, the geological data under the local mineral dominance of the fracture section of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the directional singularity index of the fracture section, the geological data under the directional singularity index of the fracture section of the fracture area is geochemical element space sampling analysis data of the fracture area;
when the geological constraint condition is that the fracture section is affected by folded structure ore containing, the geological data of the fracture section of the fracture area under the influence of folded structure ore containing is obtained as a geological map of the fracture area;
when the geological constraint condition is that the fracture section is influenced by an assigned stratum, the geological data of the fracture area under the influence of the assigned stratum is obtained as a geological map of the fracture area;
and when the geological constraint condition is the local space fracture complexity, acquiring geological data of the fracture region under the local space fracture complexity as a geological map of the fracture region.
Optionally, when the model building module 340 is configured to determine the analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data, the model building module 340 is configured to:
when the geological constraint condition corresponding to the geological data is the fracture time attribute, the analysis method corresponding to the geological data comprises at least one of an intersection analysis technology and a statistical analysis technology;
when the geological constraint condition corresponding to the geological data is the trend of the fracture section, the analysis method corresponding to the geological data comprises at least one of a pre-edited analysis program and a least square method technology;
when the geological constraint condition corresponding to the geological data is the ore-bearing advantage of the fracture section area, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the local mineral dominance of the fracture section, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the directional singularity index of the fractured segment, the analysis method corresponding to the geological data comprises at least one of a principal component analysis technology and a directional singularity analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the fold structure containing minerals, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the assigned mining stratum, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is the complexity of the local space fracture, the analysis method corresponding to the geological data comprises at least one of box-dimension fractal technology and intersection analysis technology.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the method in the method embodiments shown in fig. 1 and fig. 2 may be performed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method in the method embodiments shown in fig. 1 and fig. 2 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for determining the mineralization of a fracture region, the method comprising:
acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fracture region to be researched;
inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals;
and sending the evaluation result to a user side so that the user of the user side rechecks the evaluation result.
2. The determination method according to claim 1, wherein the ore-bearing evaluation model is constructed by:
determining at least one fracture area containing ore and at least one fracture area not containing ore, and acquiring an ore-containing label of each fracture area;
aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance;
analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data;
and taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
3. The method of claim 2, wherein the geological constraints associated with ore-bearing include time-to-fracture attributes, run-to-fracture, regional ore-bearing dominance of the fracture, local ore-bearing dominance of the fracture, directional singularity index of the fracture, fracture influenced by fold formation ore-bearing, fracture influenced by mineralizing strata, and local spatial fracture complexity.
4. The determination method according to claim 3, wherein the analyzing and processing the geological data by using a corresponding analysis method for each geological data of each fracture area to obtain the geological attribute characteristics under the geological data comprises:
aiming at each geological data of each fracture area, determining an analysis method corresponding to the geological data according to the geological constraint condition corresponding to the geological data;
and aiming at each geological data of each fracture area, analyzing and processing the geological data by using an analysis method corresponding to the geological data to obtain the geological attribute characteristics under the geological data.
5. The method of claim 3, wherein the obtaining geological data for the fracture region under each geological constraint comprises:
when the geological constraint condition is the fracture time attribute, the geological data under the fracture time attribute of the obtained fracture region is a geological map of the fracture region;
when the geological constraint condition is the trend of the fracture section, the geological data under the trend of the fracture section of the fracture area is obtained as a geological map of the fracture area;
when the geological constraint condition is the mineral advantages of the fracture section area, the geological data under the mineral advantages of the fracture section area of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the local mineral dominance of the fracture section, the geological data under the local mineral dominance of the fracture section of the fracture area is obtained as spatial distribution data of mineral deposits;
when the geological constraint condition is the directional singularity index of the fracture section, the geological data under the directional singularity index of the fracture section of the fracture area is geochemical element space sampling analysis data of the fracture area;
when the geological constraint condition is that the fracture section is affected by folded structure ore containing, the geological data of the fracture section of the fracture area under the influence of folded structure ore containing is obtained as a geological map of the fracture area;
when the geological constraint condition is that the fracture section is influenced by an assigned stratum, the geological data of the fracture area under the influence of the assigned stratum is obtained as a geological map of the fracture area;
and when the geological constraint condition is the local space fracture complexity, acquiring geological data of the fracture region under the local space fracture complexity as a geological map of the fracture region.
6. The method for determining according to claim 4, wherein the analysis method for determining the geological data according to the geological constraint condition corresponding to the geological data comprises:
when the geological constraint condition corresponding to the geological data is the fracture time attribute, the analysis method corresponding to the geological data comprises at least one of an intersection analysis technology and a statistical analysis technology;
when the geological constraint condition corresponding to the geological data is the trend of the fracture section, the analysis method corresponding to the geological data comprises at least one of a pre-edited analysis program and a least square method technology;
when the geological constraint condition corresponding to the geological data is the ore-bearing advantage of the fracture section area, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the local mineral dominance of the fracture section, the analysis method corresponding to the geological data comprises at least one of a Fry method analysis technology and a data normalization algorithm;
when the geological constraint condition corresponding to the geological data is the directional singularity index of the fractured segment, the analysis method corresponding to the geological data comprises at least one of a principal component analysis technology and a directional singularity analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the fold structure containing minerals, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is that the fracture section is influenced by the assigned mining stratum, the analysis method corresponding to the geological data comprises at least one of a buffer area analysis technology and an intersection analysis technology;
when the geological constraint condition corresponding to the geological data is the complexity of the local space fracture, the analysis method corresponding to the geological data comprises at least one of box-dimension fractal technology and intersection analysis technology.
7. A system for determining the mineralization of a fracture region, the system comprising:
the acquisition module is used for acquiring geological attribute characteristics corresponding to at least one geological constraint condition related to ore inclusion in a fracture area to be researched;
the evaluation module is used for inputting the geological attribute characteristics corresponding to the acquired at least one geological constraint condition into a pre-trained mineral-containing evaluation model to acquire an evaluation result of whether the fracture area to be researched contains minerals;
and the result sending module is used for sending the evaluation result to a user side so that the user of the user side can recheck the evaluation result.
8. The determination system of claim 7, further comprising a model building module to:
determining at least one fracture area containing ore and at least one fracture area not containing ore, and acquiring an ore-containing label of each fracture area;
aiming at each fracture area, acquiring geological data of the fracture area under each geological constraint condition according to at least one geological constraint condition related to ore inclusion, which is determined in advance;
analyzing and processing the geological data by using a corresponding analysis method aiming at each geological data of each fracture area to obtain the geological attribute characteristics under the geological data;
and taking at least one geological attribute characteristic corresponding to each fracture area as input, taking the ore-containing label corresponding to each fracture area as output, training the machine learning model, and ending the training when preset conditions are met to obtain the ore-containing evaluation model.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions being executable by the processor to perform the steps of the method for determining the mineralization of a fracture zone according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, is adapted to carry out the steps of the method for determining the mineralization of a fracture area according to any one of claims 1 to 6.
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