37 results about "Geological process" patented technology

The invention provides a geological three-dimensional science popularization system based on a VR technology, and the system comprises an AI-driven geological data intelligent processing and three-dimensional scene dynamic construction module which is configured to intelligently extract key geological elements from one or more geological data sources through employing an artificial intelligence algorithm, and a high-precision and interactive three-dimensional geological virtual reality scene is constructed based on the geological elements, and the module can dynamically optimize the scene and load the scene as required. According to the system, the understandability and science popularization interestingness of geological phenomena are remarkably improved, learning interests are stimulated, complex geological structures, geomorphic forms and ancient environments can realistically reappear through an AI-enhanced high-precision three-dimensional scene construction technology, the cognitive threshold of geological knowledge is greatly reduced through an interactive geological process simulation function, and the system is suitable for popularization and application. Abstract is changed into concrete, and boring is changed into vivid, so that the user can be effectively stimulated.

The invention discloses a geological exploration data intelligent cloud management and analysis system. The system comprises a data access module which is responsible for supporting automatic or manual importing of geological exploration data from multiple sources; the data management and integration module is used for receiving the data transmitted from the data acquisition and uploading module, performing version control and integrating the data; the data processing module receives the data provided by the data management and integration module, is responsible for data cleaning, format conversion and normalization processing, introduces an adversarial training technology and generates an adversarial sample; the intelligent analysis module is used for constructing a prediction model, the prediction model is used for modeling time series geological data by using LSTM, capturing a long-term dependency relationship in the data and identifying a geological change trend, then the output of the LSTM is used as a feature to be input into an SVM classifier, classification or regression prediction is carried out on a geological structure, and the geological process and a disaster occurrence mechanism are simulated to obtain a geological model; and generating more synthetic data similar to real data and used for training a prediction model.

The application discloses a kind of cross-tectonic period diagenesis simulation device and method.The device includes fluid driving system, reaction solution supply system and at least two groups of tectonic period reaction system connected in sequence, and different reaction systems are used to simulate the temperature and pressure conditions when geological fluid passes through each target layer during cross-tectonic period.The method first restores the geological conditions when geological fluid passes through each target layer during cross-tectonic period according to petrology and geochemistry analysis, combined with tectonic evolution history, burial history and fluid injection history, establishes cross-tectonic period diagenesis model, determines geological fluid type, and then determines the process of geological stress driving high-pressure layer fluid to migrate to low-pressure layer, restores the geological conditions when geological fluid passes through each target layer during cross-tectonic period;According to the restored geological process and geological conditions, the forward simulation of fluid dissolution, cementation, metasomatism and other diagenesis during cross-tectonic period is carried out by using cross-tectonic period diagenesis simulation device.Provide basis for judging the diagenetic mechanism of reservoir rock after high temperature and high pressure and multi-stage tectonic evolution.

The invention discloses a landslide sensitivity prediction method and device based on surface deformation physical constraints and a medium. The method comprises the steps that a landslide list and landslide sensitivity factors of a research area serve as a data set to be input into a training model; integrating the earth surface deformation rate of the research area into a training model through a physical constraint module; after training is completed, landslide sensitivity prediction is conducted on the research area. According to the method, the MT-InSAR technology is used for obtaining the earth surface deformation rate of a research area, the earth surface deformation rate serves as a prior physical constraint to be introduced into a loss function, the loss function is reconstructed, a physical constraint module is formed, the physical rule of the geological process is fused into a data-driven deep learning framework, and the sensitivity of the model to the geological movement process is improved.

The invention relates to the technical field of petroleum geology experiments, in particular to an experimental simulation and quantitative evaluation method suitable for collaborative evolution of carbonate rock apertures. The method comprises the steps that paleo-temperature, paleo-confining pressure, paleo-axial pressure and paleo-pore pressure evolution paths of a target reservoir are obtained through geological process inversion and converted into experiment loading parameters; preparing a plurality of parallel samples and carrying out initial state multi-scale characterization; in the high-temperature and high-pressure triaxial experiment system, the same temperature-pressure cooperative loading path is applied to the samples under different pore pressure working conditions; carrying out fine comparison analysis on the sample after the experiment; and finally, establishing a reservoir quality evaluation chart by calculating original parameters such as a compaction resistance coefficient, a pore-crack synergistic interaction index and crack communication efficiency. The problems that a traditional experiment is disjointed with the geological process, and multi-field coupling simulation is insufficient are solved, and accurate revelation and quantitative evaluation of the ultra-deep carbonate rock aperture co-evolution mechanism are achieved.

This invention relates to the technical field of uranium-containing fluids, and more particularly to a device and method for simulating the transport of uranium-containing fluids under oxygen-deficient conditions. The reaction mechanism includes a U-shaped glass tube placed vertically, with an outlet on the top right and an inlet on the bottom left of the tube, and a rubber stopper at the top opening. A supply mechanism includes a helium cylinder located on the left side of the U-shaped glass tube, with a pressure-reducing valve installed at its outlet. The outlet of the pressure-reducing valve is connected to a filling gun, the other end of which can be quickly connected to the inlet. By laying sandstone strata inside the U-shaped glass tube and using a helium oxygen-removal method to create an oxygen-deficient atmosphere, the transport scenario of uranium-containing fluids under real geological conditions can be highly replicated. Combined with a thermal insulation jacket and temperature controller for precise temperature control, the experimental results are closer to natural geological processes, providing reliable data support for the study of uranium transport mechanisms.

The invention relates to the technical field of data processing, in particular to a geological disaster early warning method and system based on dynamic data monitoring, and the method comprises the following steps: obtaining multi-region displacement data, recognizing a tension trend sudden change time period, extracting a tension pressure difference synchronous behavior segment in combination with pressure fluctuation, analyzing the direction switching characteristics in a slip path, and carrying out the early warning of a geological disaster. And integrating the time and space cross relationship to form an abnormal behavior continuous time interval, and obtaining a geological disaster early warning state result according to the multivariable coverage condition. According to the method, the displacement direction transition state in the continuous time period is extracted, the change characteristics of the tension trend are tracked, the time coincidence process of pressure fluctuation and trend transition is combined, a cross-variable synchronous behavior fragment is constructed, the switching frequency of the displacement direction in a path is analyzed, and the direction instability performance in the slippage process is revealed; and a continuous evolution interval of the abnormal behavior is divided by combining a cross relationship between a time sequence and a spatial position, so that the structured perception and trend judgment capability of the geological process is enhanced.

A method may include obtaining well data regarding a geological region of interest. The method may further include obtaining a geological process model for the geological region of interest. The method may further include determining a simulation region of the geological process model based on a template size and a simulation grid. The method may further include determining a simulation path through the simulation region. The method may further include determining a geological event associated with a predetermined geological facies based on the well data. The method may further include determining a replicate event based on the geological event, a similarity analysis, and using the simulation path. The method may further include assigning the predetermined geological facies to a cell location of the replicate event in the simulation region. The method may further include updating the geological process model to produce an updated geological process model.

The invention relates to the technical field of resource prediction, in particular to a mineral resource prediction method and system using a digital twinborn technology. A mineral resource prediction system using a digital twinborn technology comprises a mineral digital twinborn building module, an analog data filling module, a mineral resource prediction module and an updating module. A large number of geological model samples are generated through Monte Carlo modeling, a backtracking and forward geological evolution mechanism is introduced, an optimal target sample is screened from samples conforming to geological process constraints, and unsurveyed voxels are filled with the optimal target sample; through the method, the digital twinborn body not only has the static three-dimensional attribute mapping capability, but also has the state deduction capability adjusted along with the geological evolution process, so that the expression precision and stability of a subsequent AI prediction model on the ore body occurrence probability are remarkably enhanced; and the generalization ability of a mineral resource prediction system in sparse control, complex construction and high-uncertainty scenes is effectively improved.

The pore pressure processing method and apparatus for shale formations provided in this application are applied to computer equipment. The method includes: receiving a user-uploaded acquisition command for a target shale formation through a preset interactive interface, and acquiring corresponding multi-source data and the duration of the geological process accordingly; determining the pore elastic parameters and sealing-decompression related parameters of the target shale formation based on the multi-source data; determining the corresponding hydraulic diffusion coefficient and sealing-decompression time scale based on the sealing-decompression related parameters; determining the corresponding decompression weight based on the sealing-decompression time scale and the duration of the geological process; constructing a temperature-pressure coupled control equation based on the multi-source data and pore elastic parameters; calculating the corresponding target pore pressure increment based on the decompression weight and the temperature-pressure coupled control equation; and determining the target pore pressure of the target shale formation based on the target pore pressure increment, thereby improving the accuracy and applicability of pore pressure processing for shale formations.

The invention provides an integrated landslide susceptibility evaluation method based on an XGB reinforcement model, and belongs to the technical field of geological disaster prediction.The method comprises the steps that collected evaluation factor data of a landslide disaster research area is preprocessed, grid points are obtained, and non-landslide points are generated, so that the evaluation factor data of the landslide disaster research area are obtained; extracting an original data table of all evaluation factors corresponding to the landslide points; constructing an evaluation data set by calculating an information amount value of the evaluation factor, and dividing the evaluation data set into a training set and a verification set; a CatBoost-XGB integration model is constructed, training is performed by using the training set, verification is performed by using the verification set, and an optimal integration model is obtained; importing all grid point data in the region into the integrated model, carrying out landslide disaster susceptibility analysis, and outputting a landslide disaster susceptibility prediction map; the problems that an existing integrated landslide susceptibility evaluation method cannot effectively capture dynamic evolution characteristics of a geological process and is limited in applicability in a rapidly changing environment are solved.

The present disclosure describes a method for site characterization of offshore wind farms may include receiving, via at least one processor, a dataset comprising one or more cone penetrative test (CPT) properties associated with an area of interest (AOI) that corresponds to a seafloor. The method may also include generating, via the at least one processor, a geological process model comprising one or more rock layers and sediment information across the AOI based on one or more forward stratigraphic modeling techniques and geological information associated with the AOI. The method may also include applying, via the at least one processor, a machine learning algorithm to the geological process model to generate a predictive Earth model indicative of one or more site characteristics properties associated with a volume across the AOI.

The embodiment of the application provides a geological process label construction method and system based on shield operation parameters, and belongs to the technical field of construction process information processing. The method comprises the following steps: acquiring shield multi-system operation parameters formed in a shield construction process, and constructing a multi-dimensional feature space corresponding to shield tunneling footage based on the shield multi-system operation parameters; calculating parameter variation range information between adjacent tunneling footage based on the multi-dimensional feature space, and identifying running state change boundary positions; segmenting the shield tunneling footage to obtain a plurality of running state segments; extracting segment representative features in each running state segment, and determining corresponding geological process labels based on the segment representative features; and outputting a geological process label sequence changing with the shield tunneling footage. The scheme constructs an inchage-aligned cooperative change structure and combines a segmentation and consistency checking mechanism, so that continuous, stable and structured expression of geological evolution characteristics in the shield tunneling process is realized.

The application discloses an inert gas graphic method for identifying geothermal water migration direction and relates to the technical field of mineral resource exploration. 4 He / 20 Ne ratio and 4 He / 36 Ar ratio; a He 4 He / 20 Ne-He 4 He / 36 Ar binary correlation coordinate system is established, and an atmospheric characteristic value coordinate point is indicated; each sample ratio is taken as a coordinate point and is plotted into the coordinate system, and a geothermal water migration direction is determined according to a change trend from high to low of the ratio. The application can realize accurate identification of the geothermal water migration direction in a high-temperature geothermal field lacking of hot spring outcrops by using the stable chemical properties of inert gases, and effectively avoids interference caused by geological processes such as water-rock interaction, mineral deposition and clay mineral adsorption.

The present invention relates to the field of oil exploration technology, and discloses a method and system for constructing a geological digital twin model in oil exploration. The method comprises: receiving multi-source heterogeneous geological data streams in a target exploration area, performing multi-scale alignment and feature fusion through a geological feature decoupling model, and generating a three-dimensional geological attribute field distribution map; constructing an adaptive grid division model to generate a dynamic flow field simulation instruction set; simulating the dynamic response of the reservoir under production disturbance based on a multi-physics field coupling model and optimizing the simulation instruction set parameters; iteratively updating parameters through a quantum computing optimization framework, and outputting a model construction sequence to an exploration decision platform. The system comprises data reception, feature processing, grid instruction generation, simulation optimization, and output modules. The present invention integrates multi-source data, accurately simulates geological processes, optimizes exploration decisions, and improves oil exploration efficiency and production benefits.

The present invention relates to the technical field of geological exploration, specifically a hydrogeological, engineering geological and environmental geological exploration system and method based on GPS positioning. The system includes a geographic information integration module, a risk identification and prediction module, an intelligent planning and adjustment module, a geological process simulation module, a project management and collaboration module, a real-time monitoring and adjustment module, and a decision support and optimization module. In the present invention, through a spatial data fusion algorithm, the geographic information integration is optimized to ensure data consistency and integrity. By combining random forest and convolutional neural network, geological risks are identified and the impact of climate change is predicted. Through genetic algorithm and support vector machine algorithm, the exploration plan is intelligently adjusted, the exploration path is planned, and the exploration efficiency is improved. Using computational fluid dynamics technology, geological and hydrological processes are simulated. Combined with the Scrum framework, project management is optimized and the execution efficiency is improved. Using decision tree and graph neural network, the overall efficiency and safety of the project are enhanced.

The application discloses a numerical simulation method and device for a foreland thrust belt, and the method comprises the following steps: determining and acquiring basic parameters required for numerical simulation; constructing a stratum model and setting the stratum model based on the basic parameters; setting boundary conditions for numerical simulation; solving a mass conservation equation, a momentum conservation equation and an energy conservation equation to obtain field data of a velocity field, a pressure field and a temperature field of the stratum model; solving a topographic diffusion equation and a river erosion rate equation to obtain evolution data of topography and geomorphology of the stratum model; solving a flexure isostatic equation to obtain a basement subsidence amplitude of the stratum model; and outputting the calculated data. The application can better simulate a geomorphology evolution process dominated by river erosion in an actual geological process.

Certain aspects of the disclosure provide apparatuses and methods for graphical geological process models that use FM to generate maps for offshore cable routes. A method includes receiving, by a geological process model (GPM), a data input; selecting, an FM algorithm of a plurality of FM algorithms, wherein the FM algorithm is based on a type of the data input; generating, a data output using the FM algorithm, wherein the data output comprises a prediction result of a sedimentation factor; and generating, by the GPM, a graphical layer of an interactive graphical model based on the data output, wherein the graphical layer comprises a graphic associated with the prediction result.

The present invention discloses a paleo-geomorphology restoration method and related equipment based on geological processes. The specific implementation is divided into the following key steps, including seismic interpretation to identify the current stratigraphic interface, seismic structure analysis to correct the stratigraphic erosion amount, well-seismic combination to calculate the original sedimentary thickness, rock differentiation to correct differential compaction, accommodative space analysis to remove the influence of newly added accommodative space, and sedimentary analog terrain trend to correct the surface influence, and finally obtain the comparable sedimentary thickness, and obtain the original landform before sediment deposition through mirroring. The method is based on the geological evolution process as a whole, and obtains the original landform form by restoring various geological elements in the geological formation process, and strips various elements affecting the landform from the final sediment and restores them step by step for correction, and finally obtains the original paleo-geomorphological characteristics through process restoration. The method comprehensively considers all factors affecting paleo-geomorphology restoration and improves the accuracy of paleo-geomorphology restoration results.

The invention discloses a salt cavern gas storage site selection evaluation method based on multiple factors, belongs to the technical direction of salt cavern gas storage site selection, can more accurately capture complex nonlinear coupling relations among geology, environment and engineering factors through an innovative fractional order neural network model, remarkably improves the accuracy of site selection evaluation, and improves the site selection evaluation accuracy. Particularly, when the data scale is increased, the classification accuracy is remarkably improved, multi-modal data can be effectively processed through dynamic weighted projection and a fractional order convolution kernel, the nonlinear relation and space-time dependency between features are reserved, the problem that feature relevance is lost due to simple splicing or standardized processing in a traditional method is solved, and the classification accuracy is improved. Feature extraction and modeling are carried out by adopting a fractional derivative model, so that the model can fully reflect historical dependence of geological parameters such as salt rock, the modeling capability of the model on a long-term geological process is enhanced, and dynamic structure evolution and adaptive weight adjustment are carried out.

This invention belongs to the field of geological evolution dynamic simulation technology. It discloses an immersive geological evolution dynamic simulation system and method based on gesture interaction. The system includes: a geological context intelligent reasoning module, a geological process dynamic simulation module, a user interaction command parsing and mapping module, and a dynamic terrain rendering module. Based on multi-source fused data, it performs geological information reasoning to obtain a geological context reasoning report. Based on the geological context reasoning report, it performs time and process simulation to obtain a dynamic terrain data report. It parses and maps parameters to the user interaction report and outputs the mapping results to the geological process dynamic simulation module for secondary processing to obtain a new dynamic terrain data report and a dynamic terrain image sequence. Overall, this invention has significant advantages in ensuring the realism of geological scenes, providing good adaptive effects for user interaction content, and greatly improving the user experience.

Extraction of gravel morphological parameters is an important research content of sedimentology, and due to the fact that the work requires to collect a large amount of sample data, a traditional working method is tedious in process and low in efficiency; and the geological action is a gradual change process, and the gravel form is ever-changing and is always one of the properties which are most difficult to describe and quantify of an object, so that the method has important practical significance on intelligent acquisition of the gravel. According to the method, a gravel image sample database is established, an intelligent gravel identification model is constructed based on an artificial intelligence (AI) method, and intelligent identification and extraction of gravel morphological parameters are realized, so that powerful methods, means and data support are provided for geologists to carry out related researches; the method has a wide application prospect in the aspects of studying the material source, the sedimentary environment, the paleo-geographic characteristics, the structural environment, the paleo-environment transition and the like of the sedimentary basin.

The application provides a two-dimensional automatic flume device and a control system, and relates to the field of hydraulic engineering.The two-dimensional automatic flume device comprises a flume system, a water level measuring system, a water supply and return control system, a sand-laden flow supply system and an automatic slope changing system.The flume system comprises a flume frame, a flume main body and sliding rails, and a water inlet and a drainage outlet formed in the flume main body.The water level measuring system comprises at least one ultrasonic water level meter.The water supply and return control system comprises a comprehensive control box, a water supply device, a water supply pipe and a water return pipe.The comprehensive control box is used to obtain water level measured information from the at least one ultrasonic water level meter, and to control the water level of the flume main body on the basis of the water level measured information.The sand-laden flow supply system is used to supply sand-laden flow to the flume main body.The automatic slope changing system is used to control the slope of the flume main body.The device provided by the application solves the problem of insufficient automation and informatization level of the existing flume device, and the problem of insufficient control precision and observation precision of the sedimentary geological process.

The application provides a kind of seabed reference station determination method based on multidimensional engineering parameter score, it is related to the technical field of seabed engineering construction, method includes: through the standardization processing of topography, soil layer, hydrology and geological disaster data, in turn carry out seismic motion judgment, seabed erosion and siltation analysis, seabed settlement simulation, bearing capacity calculation and geological disaster stability analysis such as multidimensional parameter calculation, coupling static geological information and dynamic geological process, form the comprehensive stability index that can reflect earthquake, erosion and siltation and other time-varying factors. Each single factor result is quantified as total score by weighted score, for comprehensive determination seabed reference station optimal site. The application can combine dynamic geological process, improve the accuracy of seabed reference station evaluation.

The invention provides a method for determining a seabed base station based on multi-dimensional engineering parameter scoring, and relates to the technical field of seabed engineering construction, and the method comprises the steps: carrying out the standardization processing of terrain, soil layer, hydrology and geological disaster data; multi-dimensional parameter calculation such as seismic oscillation judgment, seabed erosion and deposition analysis, seabed settlement simulation, bearing capacity calculation and geological disaster stability analysis is carried out in sequence, static geological information and a dynamic geological process are coupled, and comprehensive stability indexes capable of reflecting time-varying factors such as earthquakes, erosion and deposition and settlement are formed. And each single factor result is quantified into a total score through weighted scoring, and is used for comprehensively determining the optimal site of the seabed base station. According to the method, the accuracy of seabed base station evaluation can be improved by combining a dynamic geological process.

The present application relates to the technical field of resource prediction, and particularly relates to a mineral resource prediction method and system using digital twin technology.A mineral resource prediction system using digital twin technology comprises a mineral digital twin construction module, a simulation data filling module, a mineral resource prediction module and an updating module.A large number of geological model samples are generated by Monte Carlo modeling, a backtracking and forward geological evolution mechanism is introduced, and the optimal target sample is screened from the samples meeting the geological process constraints to fill the unexplored voxels.Through the above method, the digital twin not only has a static three-dimensional attribute mapping capability, but also has a state deduction capability adjusted with the geological evolution process, thereby significantly enhancing the expression accuracy and stability of the subsequent AI prediction model on the occurrence probability of the ore body, and effectively improving the generalization capability of the mineral resource prediction system in the sparse control, complex structure and high uncertainty scenarios.

The invention belongs to the technical field of geological evolution dynamic simulation, and discloses an immersive geological evolution dynamic simulation system and method based on gesture interaction. The system comprises a geological context intelligent reasoning module, a geological process dynamic simulation module, a user interaction instruction analysis and mapping module and a dynamic terrain rendering module, geological information reasoning is performed based on multi-source fusion data to obtain a geological context reasoning report, time and process simulation is performed based on the geological context reasoning report, and time and process simulation is performed based on the geological context reasoning report. The method comprises the following steps: obtaining a dynamic topographic data report, carrying out analysis and parameter mapping on a user interaction report, outputting a mapping result to a geological process dynamic simulation module for secondary operation, obtaining a new dynamic topographic data report, and obtaining a dynamic topographic image sequence. The method has the remarkable advantages that the geological scene authenticity guarantee capability is high, the user interaction content self-adaption effect is good, and the user use experience is greatly improved.

The application discloses a kind of multi-physical field preparation methods of simulating agglomerated rock in lunar soil, comprising the following steps: selecting raw materials similar to the chemical composition and mineral composition of real lunar soil;After the raw materials are pressed into shape, they are placed in a spark plasma sintering furnace for high-temperature sintering, and agglomerated rock is obtained after rapid cooling;The process of high-temperature sintering is carried out in a protective atmosphere.The preparation method of the application is simple, efficient and can be produced on a large scale.The preparation process reproduces the geological processes experienced during the evolution of the moon to some extent.The agglomerated rock prepared by the application has similar chemical composition and nano-microstructure to the agglomerated rock in real lunar soil, and has good consistency.