163 results about "Geodat" patented technology

The present invention is a method of hydrodynamics-based gridding (Hydro-Grids) for creating geologic models of subsurface volumes, such as reservoirs. Vertical grid surfaces may be chosen in an unstructured fashion to provide lateral resolution where needed. Lateral grid surfaces are created to represent surfaces of constant geologic time based on simulation of the depositional processes that created the subsurface volume. The values of geologic properties are then specified within each cell created by the intersections of the vertical and lateral surfaces. The geologic data may include, for example, seismic data, outcrop studies, well log data, core data, numerical modeling data, and interpreted stratigraphic surfaces based on seismic data. The modeled geologic properties of the subsurface volume may include, for example, grain size distribution, connectivity, net-to-gross, porosity, permeability and pore pressure.

Techniques and a system for performing geological interpretation operations in support of energy resources exploration and production perform well log correlation operations for generating a set of graphical data describing the predetermined geological region. The process and system interpret the geological environment of the predetermined geological region from measured surface and fault data associated with the predetermined geological region. Allowing the user to query and filter graphical data representing the predetermined geological region, the method and system present manipulable three-dimensional geological interpretations of two-dimensional geological data relating to the predetermined geological region and provide displays of base map features associated with the predetermined geological region. The method and system automatically update the manipulable three-dimensional geological interpretations of two-dimensional data relating to the predetermined geological region, as well as calculate three-dimensional well log and seismic interpretations of geological data relating to the predetermined geological region.

The present invention incorporates the use of geophysical, geological and formation evaluation data to develop synthetic stratigraphic columns based on depositional rules and sedimentary stacking patterns. The present invention utilizes dynamic assignment and matching whereby the synthetic columns can be easily conformed throughout the reservation characterization process as geological data becomes available.

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 relates to a novel intelligent region mineralizing prediction method, namely a mineralizing case reasoning model and method and belongs to the field of resource information processing. In the invention, multi-source massive geology space data (such as basic geological data, geophysical data, geochemical data, remote sensing data and the like) are fully utilized, and the traditional mineral prediction idea is broken through, so that a rapid, high-efficiency and intelligent mineral prediction method is established so as to rapidly and efficiently predict regional mineral resource potential with high accuracy. The method comprises the following three main steps: mineralizing case expression, mineralizing case database construction and mineralizing case searching. By using the method, the regional mineral resource potential can be subjected to quantitative forecasting and evaluation more efficiently and objectively, thereby reducing the mineral exploration cost and further improving the efficiency and accuracy of mineral prediction.

The present invention discloses a method for optimizing sensor network node location in a geological CO2 storage area. In the method, by analyzing data in a monitoring area, such as geological data, geographical data, and meteorological data, analyzing influence factors of a CO2 leakage event and determining a sensitivity partition, designing different coverage control schemes of monitoring sensor network nodes, or intensively or sparsely arranging sensor monitoring nodes, a coverage network is described and optimally expressed on the basis of Delaunay triangulation. In the method for optimizing sensor network node location in a geological carbon dioxide storage area, the arrangement density of wireless sensor network nodes can be dynamically adjusted according to geological and geographical features of a detection area, and the arrangement optimization of a dynamic monitoring sensor network for coal seam carbon dioxide injection area leakage can be realized. The method reduces node redundancy and communication overheads as much as possible, and has strong network coverage and network connectivity.

A method and system for generating a model function h(x,y,z) implicitly representing geologic horizons. Geological data representing a fault network and horizons automatically extracted from seismic data may be received. A 3D mesh may be generated and divided into a plurality of fault blocks by the fault network. A discrete function h(x,y,z) may be defined having values of the geological data representing horizons at discrete nodes of the mesh. Constraints may be installed on the discrete function h(x,y,z) defining surfaces representing horizons. Constraints may be installed on the discrete function h(x,y,z) to ensure the uniqueness of the function h(x,y,z). The discrete function h(x,y,z) may be interpolated at the nodes of the mesh to create a piecewise continuous function h (x,y,z) while honoring the constraints. The piecewise continuous horizon function h(x,y,z) may be synchronized across multiple fault blocks. A model of the piecewise continuous horizon function h(x,y,z) may be displayed.

The invention relates to a water conservancy project foundation pit tube well combined light well point dewatering and drainage method. The method comprises four steps of foundation pit geological data collection, tube well layout scheme design and check, tube well water yield check and tube well construction operation. Compared with a traditional drainage construction technology, on one hand, theconstruction amount of drainage construction operation is effectively simplified, the construction operation efficiency is improved, the operation cost of drainage construction and drainage operationis effectively reduced, on the other hand, the efficiency of foundation pit drainage operation is effectively improved, the influence of construction drainage on engineering construction is reduced,and the efficiency and quality of foundation pit construction operation are improved.

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 relates to a topology discovery method of space geological data based on an unstructured mode, mainly comprising three-level discovery containing topology core relationship generation, topology dynamic relationship search and topology error relationship correction. The topology discovery method based on the unstructured mode aims at different manners of obtaining the space geological data, space data distribution features and required functions and application of a model, and is designed by analysis of such complex geophysical phenomenon as fault, wrinkle, lenticle, intrusive rock and on the like, so that correlations of the space, the time and a structure among large and complex space geophysical data accumulated for a long period during the mining area geological exploration are determined, and the uniformity and the authenticity of the space, the time and the structure can be maintained; and therefore, the space expression ability and the time-space analysis efficiency of three-dimensional geophysical data can be strengthened, and the advanced science means for analyzing, forecasting and evaluating geological resources can be provided for geologists.

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.

The invention discloses a geological exploring ore body three-dimensional modeling system which comprises a geological data storage module, an exploring engineering selecting module, a grade condition setting module, a topological structure correction module, an ore body upper and lower bound determining module which is connected with the geological data storage module, the exploring engineering selecting module, the grade condition setting module and the topological structure correction module, a profile ore body connecting module connected with the ore body upper and lower bound determining module, and a geological body three-dimensional reconstruction module connected with the profile ore body connecting module. The geological exploring ore body three-dimensional modeling system overcomes the defects of a blocking method and is fast, accurate, visual and capable of greatly improving the working efficiency of engineering technical personnel. A basis is provided for mine production and reasonable mining.

The invention discloses a GIS-based disaster evaluation and analysis method, which relates to the technical field of geological disaster analysis and evaluation, and comprises the steps of collectinghistorical meteorological data, geological information basic data and historical geological disaster data of an observation place; preprocessing: dividing the data into a training data set and a testdata set; constructing a GIS-based neural network analysis model, training the analysis model, and reversely optimizing model parameters; testing the analysis model, and outputting the trained analysis model; acquiring meteorological data and geological data of an observation site in real time, analyzing the meteorological data and the geological data by using the trained analysis model, and outputting a real-time analysis result; the real-time analysis result, the historical meteorological data, the historical geological disaster data and the geological information basic data are utilized toconstruct the early warning grading model, and the early warning grading model outputs the current optimal early warning measure according to the real-time analysis result, so that the accuracy of thereal-time analysis result is improved, and the loss caused by disasters is reduced.

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 provides a geological disaster monitoring method and system and electronic equipment. The method comprises the following steps of: acquiring a plurality of pieces of geological data of a disaster body through a plurality of monitoring devices, and synchronizing the plurality of pieces of geological data; transmitting the plurality of synchronized geological data to a cloud platform in real time; and through the cloud platform, analyzing the disaster condition of the disaster body based on the plurality of pieces of geological data, constructing a three-dimensional model, and sending out early warning information when an abnormal condition occurs. The system comprises an acquisition module used for acquiring a plurality of pieces of geological data of a disaster body through a plurality of monitoring devices and synchronizing the plurality of geological data; a transmission module used for transmitting the plurality of pieces of synchronized geological data to a cloud platform in real time; and a monitoring and early warning module used for analyzing the disaster condition of the disaster body based on the plurality of pieces of geological data through the cloud platform, constructing a three-dimensional model, and sending out early warning information when an abnormal condition occurs. Through the method and the system, the defects of the existing monitoring technology can be overcome, and more effective geological disaster monitoring is realized.

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 provides a geological data visualization method based on a mixed data model, and relates to the technical field of geological survey. When a three-dimensional geologic body model constructs a three-dimensional model, an irregular tetrahedron structure TEN and triangular surface TIN mixed data model is adopted for combined modeling, the advantages of TIN and TEN are integrated by adopting a mixed data structure, the outline of a three-dimensional space entity can be rapidly formed, and display and data updating are facilitated; the boundary of the space entity is accurately expressed; efficient spatial analysis is performed, the defect of a single data structure is made up to the maximum extent, a flexible and efficient topological relation is achieved, visualization algorithms such as mapping and ray tracing can be fully utilized, and therefore the method has high universality and flexibility, the expression precision of the three-dimensional entity can be improved, the method can better adapt to the complexity of three-dimensional topology, and the method can be qualified for three-dimensional geological modeling of various different complexity degrees.

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 relates to the technical field of urban construction, in particular to a big geological data application platform for urban planning and construction, is the application platform of a BSarchitecture comprises a core platform server, and a background management module, a data application module, a data storage module and a data entry unit which are connected with the core platform server, the data application module comprises a project integration unit, a project scheme unit and a project analysis unit; and the data storage module comprises a data unit, a project data unit and agraphic data unit. By means of the technical scheme, when a building project is created, only key data and calibration data need to be input, and a project outline document and budget can be obtained;the three-dimensional visualization effect of the site can be obtained according to the requirements of current urban geological data and project data, and the detail data effect during constructioncan be visually displayed; and customers can voluntarily upload their own project data so as to achieve collection and larger sharing of urban geological data.

The invention relates to the technical field of mine monitoring and early warning, in particular to a working face water disaster micro-seismic dynamic monitoring method and system, and the system comprises an acquisition module which is used for collecting geological data and micro-seismic signals of a mine floor monitoring area in real time; a construction module which is used for constructing a three-dimensional geological model of the monitoring area according to the geological data; a positioning module which is used for positioning the micro-seismic signal in the monitoring area by adopting a natural seismic positioning algorithm to obtain a micro-seismic position of the micro-seismic signal in the three-dimensional geologic model; an analysis module which is used for analyzing the microseismic signal to obtain the damage depth of the mine bottom plate; and a display module which is used for displaying the micro-seismic position and the damage depth according to the three-dimensional geologic model. The three-dimensional geological model is constructed according to the real-time geological data, even if the spatial form and the distribution condition in the monitoring area of the mine bottom plate change along with time, the micro-seismic position and the damage depth can be accurately displayed, and the monitoring accuracy and the anti-interference performance are improved.

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.