160 results about "Geodat" patented technology

The invention discloses an interpretation and evaluation method for a reservoir area engineering geological survey and particularly relates to a hierarchy interpretation method and a comprehensive evaluation method for reservoir area engineering geological survey and evaluation. According to the interpretation and evaluation method, the interpretation of bad geologic bodies of landslide, collapse, debris flow and the like can be achieved, the precision can meet a requirement of feasibility, and the comprehensive evaluation of engineering geological problems of reservoir leakage, reservoir bank stability, reservoir bank collapse, reservoir immersion, the debris flow and the like can be achieved. The steps of the interpretation and evaluation method includes firstly, establishing a geographic information system (GIS) data bank of a reservoir area engineering geology and a three-dimensional true color remote-sensing image visualization system; secondly, establishing remote-sensing interpretation marks of the bad geologic bodies of the landslide, the collapse, the debris flow and the like; thirdly, performing preliminary interpretation with geography interpretation as a priority; fourthly, performing outdoor verification by matching of image interpretation; fifthly, performing detailed comprehensive interpretation with three-dimensional interpretation as a priority; sixthly performing reservoir leakage comprehensive interpretation based on a GIS; seventhly, performing reservoir bank stability comprehensive interpretation based on the GIS; eighthly, performing reservoir bank collapse and reservoir immersion comprehensive interpretation based on the GIS; and ninthly, performing reservoir debris flow comprehensive interpretation based on the GIS.

The invention provides a working face coal seam three-dimensional modeling method based on geological data. The method comprises the steps of measured geological data acquiring and coal seam model constructing. The first step comprises the step that after a working face transportation tunnel, a working face back air tunnel and a cut hole of a coal seam to be mined are tunnelled and constructed, the measured geological data of the coal seam to be mined are measured, wherein the measured geological data of the coal seam to be mined comprises the geological data of the coal seam, the geological data of a mining roadway and the geologic data of the cut hole. The second step comprises the steps of data storage 202, interpolation operation 202, three-dimensional coordinate database generation 203 and model constructing 204. Three-dimensional modeling software is called to establish the three-dimensional model of the coal seam to be mined. According to the invention, the method has the advantages of simple steps, reasonable design, convenient realization and good use effect; the three-dimensional modeling process of the working face coal seam can be quickly and easily acquired; and the three-dimensional model of the coal seam top is accurate, which provides reliable coal seam data for an automatic and intelligent comprehensive mining work face.

The invention discloses a multi-source-data-based automatic modeling method and system of a three-dimension model of a geological structural surface. The method comprises: S1, carrying out data source inputting; to be specific, defining a data input rule and searching data meeting the rule from an engineering geological database; S2, carrying out data format conversion; to be specific, converting various inputted data sources into ones in a uniform format and constructing a basic data set; S3, determining modeling data; to be specific, determining data authenticity of the data sources, extracting data meeting the requirement, and constructing a modeling data set; S4, determining elements of attitude; to be specific, fitting and correcting structural surface modeling elements of attitude based on the modeling data set; and S5, carrying out structural surface modeling; to be specific, establishing a structural surface three-dimension model according to the modeling data set and the elements of attitude of the structural surface and adding a corresponding geological attribute to the three-dimension model. With the method and system, the data authenticity determination of the data sources of the geologic structural surface and the automatic modeling process of the three-dimension model of the three-dimension model of the geologic structural surface are realized; and the accuracy and efficiency of the three-dimension modeling of the geologic structural surface are improved.

The invention relates to an engineering geology informatization work system which comprises an engineering geological data acquisition module, a database, a field process platform system, a geological information data management system, a three-dimensional geological modeling system and an engineering geology drafting system. The database is used for storing geological data acquired by the engineering geological data acquisition module. The field process platform system is used for field geological survey work and drafting of a material graph. The geological information data management system is used for the management and application of the geological data in the database. The three-dimensional geological modeling system is used for generating a geological body three-dimensional model according to the geological data acquired by the engineering geological data acquisition module. The engineering geology drafting system is used for generating a standard geological map meeting the requirements of various regulations and norms according to the geological data with a topographic map and an orthophoto map as the background. The engineering geology informatization work system provides a complete solution for engineering geological investigation work, and the functions of the informatization work system can be expanded. By the application of the system, revolutionary change can be brought to the engineering geological investigation work, and the efficiency of the engineering geological investigation work is greatly improved.

A method of calculating a 3-D geologic model in real time using, as input, 2-D geologic data. The 3-D is used for conducting further drilling operations. The model may be updated in real time using additional measurements obtained during drilling operations.

The invention relates to the technical field of geological modeling, in particular to a multi-source geological data coupling modeling method based on drill holes and complex geological sections, which is characterized by comprising the following steps: S1, modeling data preparation: performing data standardization processing on modeling data to generate three-dimensional data, and performing dataconsistency processing; S2, constructing a fault surface: determining a three-dimensional space form of the fault surface, and generating a three-dimensional fault surface; S3, constructing a groundlevel: generating a ground surface according to the ground surface elevation data; sequentially constructing complete stratum surfaces of all the stratums from top to bottom according to the corresponding relation of the stratums; S4, ground level intersection processing: performing curved surface intersection processing, and segmenting a ground level according to an intersection line; after the segmentation is completed, removing surplus stratum surfaces to obtain stratum surfaces conforming to stratum distribution; and S5, constructing geologic body. According to the method, the modeling result is more consistent with the actual situation, and meanwhile, the modeling efficiency of the complex geologic body is improved.

The invention discloses a shield tunneling parameter deviation calculation method and system based on random forest regression. The method comprises the following steps: S1, obtaining original data; S2, performing preprocessing and data division on the original data to obtain construction data of the same shield machine type under the same geological data; S3, establishing a random forest regression model, and training the random forest regression model by adopting construction data of the same shield model under the same geological data; S4, obtaining a predicted value of the new shield project through the regression model; and S5, performing deviation calculation on the real-time parameter value of the new shield project and the corresponding predicted value to obtain a deviation value of the shield tunneling parameter. According to the method, deviation calculation is carried out on the shield tunneling parameters, the tunneling parameter deviation value of the shield tunneling machine in the tunneling process is given, tunneling state data can be further given, a reference basis can be provided for engineering construction, and the quality of shield construction can be improvedconveniently.

An ore content prediction system is provided. The system receives structured geological data that is derived based on spatial geological information that is associated with an input region. The received structured geological data includes a plurality of multidimensional tensors that are derived from spatial geological information of a plurality of sub-regions of the input region. The spatial geological information includes one or more types of data. The system trains a prediction model to produce a prediction output based on an average grade of an ore of a target mineral type at a target region by using the received structured geological data. The system identifies a relationship of the structured geological data to the prediction output and determines a revised input region based on the identified relationship,

A method for evaluating shale gas sweet points is disclosed. The method comprises the following steps of determining geological sensitive sweet point parameters and engineering sweet point parametersaccording to the basic geological data, the logging data and the seismic data; carrying out geophysical prediction based on the confirmed geological sensitive sweet point parameters and the engineering sweet point parameters to obtain a prediction result; establishing a shale gas sweet point quantitative evaluation model Q; determining a quantitative evaluation factor Qsweet of the shale gas sweetpoints; and judging the beneficial exploration area of the shale gas according to the numerical range of the evaluation factor Qsweet. According to the method, through establishing the sweet point quantitative evaluation model, the shale gas sweet point comprehensive evaluation in a complex-structure area can be completed, the enriched high-yield zone is preferably selected, and the efficient exploration and development are facilitated.

The invention discloses a method for processing open-type geological geographic information, which comprises following steps: a. WGS84 coordinate position is marked on a client by a user and geological geographic information of the WGS84 coordinate position is uploaded to a server; b. the geological geographic information uploaded by the user is checked by the server and the geological geographic information is stored to a geological database; c. the geological database is used to research based on query conditions inputted by the user; d. and the final result researched by the geological database in c step is sent by the server to the client for output. The invention also discloses a system adopting the above method. By using the method and the system provided herein, based on the WGS84 coordinates, worldwide users can mark positions on the three-dimensional earth and upload various geological datum; and only need to browse the three-dimensional earth, worldwide users can research and download coordinates based on the WGS84 coordinates, thus the query and download are more convenient; the reusing degree of the geological datum is greatly enhanced; and not only the geological geographic information can be shared and the social resources are saved, but also the environment is conducive to be protected.

The invention discloses an intelligent geological disaster risk analysis method, comprising S100, establishing an ArcGIS independent database of the cloud under the monitoring network, and establishing a unified data interaction language, S200, collecting and integrates regional geological data through a data integration program, and forming a data dictionary description of the data, uploading thedata dictionary description of the data to the ArcGIS independent database through a data integration system, and backing up the data to an emergency database, S300, performing single factor analysis, multiple factor analysis and multi-information mixed factor analysis moduling through ArcGIS, and forming an information volume model, and S400, building a data analysis model program in a GIS database, forming a multi-level data analysis layer, and displaying data on an ArcGIS platform. The intelligent geological disaster risk analysis method provides more effective and intelligent data integration and data analysis, and therefore a more specific risk analysis result is obtained.

The invention discloses an intelligent forecasting system for multi-element karst collapse, which relates to the technical field of measurement and control and comprises a multi-element fusion module, a data dimension reduction module, a search module, a Bayesian classifier, a forecasting diagnosis module and an early warning output module. The input end of the multi-element fusion module is connected with the output end of a basic factor database, an induction factor database, a covering layer database, a dynamic condition database or an acid and alkali solution corrosion database through a data interface, and the output end of the multi-element fusion module is connected with the input end of the data dimension reduction module. The output end of the data dimension reduction module is connected with the input end of the search module, the output end of the search module is connected with the input end of the Bayesian classifier, the output end of the Bayesian classifier is connected with the input end of the forecast diagnosis module, and the output end of the forecast diagnosis module is connected with the input end of the early warning output module. According to the invention, the analysis capability of different geological data information is greatly improved.

Implementations described and claimed herein provide systems and methods for developing resources from an unconventional reservoir. In one implementation, raw reservoir data for the unconventional reservoir is obtained. The raw reservoir data includes geology data, completion data, development data, and production data. The raw reservoir data is transformed to transformed data. The raw reservoir data is transformed to the transformed data based on a transformation from a set of one or more raw variable to a set of one or more transformed variables. The set of one or more transformed variables is statistically uncorrelated. Resource development data is extracted from the transformed data. Performance analytics are generated for the unconventional reservoir using the resource development data. The performance analytics are generated through ensemble machine learning. The unconventional reservoir is developed based on the performance analytics.

The invention provides a method and device for testing and explaining a shale oil reservoir fractured horizontal well without stopping the well, and the method comprises the steps: obtaining the geological data of a first horizontal well, the parameter data of a fracturing operation mode, the first well-stopping-free production dynamic data and the first well-stopping-free testing dynamic data ina target research region; establishing a well-stopping-free testing seepage model; determining a target characteristic parameter which has the maximum influence on a well testing model curve output bythe well-stopping-free testing seepage model in the plurality of characteristic parameters; determining deviation coefficients of the target characteristic parameter under different numerical values,and taking the target characteristic parameter value corresponding to the minimum value of the deviation coefficient as a target test parameter value; and according to the target test parameter valueand a well-stopping-free test seepage model, explaining the first well-stopping-free test dynamic data. In the embodiment of the invention, the influence of shale oil reservoir shut-in on productioncan be effectively avoided, and accurate well test interpretation can be carried out on the multi-section fractured horizontal well under the condition of reducing the production benefit loss.

The invention relates to the field of unmanned aerial vehicles and particularly relates to an unmanned aerial vehicle emergency processing method and system, a storage medium and electronic equipment. The method comprises the following steps of 1, acquiring the basic information of an affected area; 2, processing the basic information to obtain the number of dispatched unmanned aerial vehicles; 3, remote sensing image data and geological data of the affected area being acquired through acquisition equipment in a plurality of unmanned aerial vehicles; and 4, planning a rescue route according to the acquisition result of the remote sensing image data and the acquisition result of the geological data. Through the method, casualties can be avoided in the acquisition process, on the other hand, disaster landform conditions can be more comprehensively acquired through high-altitude data acquisition, rescue workers can be effectively ensured to arrive at a rescue site in time by planning a rescue route according to an acquisition result, casualties of the disaster workers are reduced, and meanwhile, safety of rescue workers is ensured.

The invention provides a terrain structure stability prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring target detection dataof a terrain of a to-be-detected area, wherein the target detection data comprises geological data and environmental data; inputting the target detection data into a preset gray model to obtain a structural stability value of the terrain of the to-be-detected area, wherein the preset gray model represents the relationship between the detection data of the terrain and the structural stability of the terrain. By means of the method, stability prediction of a complex geological structure can be achieved, in addition, the influence of environmental factors on the structural stability is comprehensively considered, and the prediction precision is further improved through the method.

The invention relates to a geological survey map and pile foundation map fusion method based on a Revit platform. The method comprises the following steps that S1, a plurality of drilling points are planned for geology, drilling investigation is conducted on the drilling points, drilling original data are collected, and the drilling original data comprise first plane coordinate data of rock and soil of different drilling points and first elevation data of the same drilling point at the first layer tops of the rock and soil of different stratums; S2, the drilling original data is expanded through a cubic spline surface modeling method, a large amount of geological data is generated, and the geological data comprises a large amount of layer bottom point data and layer top point data of eachstratum; S3, the layer bottom point data and the layer top point data of different stratums obtained in the step S2 are imported into Revit software, and the corresponding stratum smooth curved surfaces are drawn and generated; and S4, a pile foundation diagram is drawn in Revit software to obtain stratum elevation data of the pile head. The soil layer where the pile head is located can be clearlyknown by simulating engineering conditions such as pile foundation construction and earth excavation.