26 results about "Geological process" patented technology

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 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 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 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 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.

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.

The invention relates to the technical field of geological map intelligent understanding, and particularly discloses a picture format geological map enhanced understanding method based on a multi-modal large model, which comprises the following steps: geoscience knowledge map construction: extracting geological corpora, utilizing a large language model to recognize, and finally forming a geological knowledge map, constructing a knowledge graph index and a community based on the geoscience knowledge graph; geological map metadata extraction: carrying out component analysis and structure splitting on the picture format geological map by adopting a pre-trained visual model, and extracting key metadata; retrieving in the constructed geological knowledge map based on key metadata extracted from the geological map in the picture format; and multi-modal large model understanding: jointly inputting the retrieved and enhanced metadata and the geological map in the picture format into the multi-modal large model, so that the understanding precision and credibility of professional elements, metallogenic rules and geological processes in the geological map are remarkably improved, and an interpretable and efficient solution is provided for realizing intelligent understanding and knowledge service of the geological map.

The invention provides a mass balance rapid calculation method based on a hierarchical clustering algorithm, and belongs to the field of mathematical geology in earth science, and the method comprises the steps: carrying out the standardization processing of data through the calculation of content ratios R, arranging the ratios R of all elements according to a sequence from small to large, and constructing an ordered array [R]; performing systematic difference quantitative analysis on ratio elements in the ordered array R by using an agglomerated hierarchical clustering machine learning algorithm; and averaging the Rvalues corresponding to all the identified inactive elements, taking the obtained average value K as a balance constant, and carrying out quantitative calculation on the element migration quantity by taking the average value K as a reference. According to the method, various complex geological environments such as a complex water-rock reaction system, multi-element coupling migration and a multi-stage geological process can be effectively treated, and a solution with higher calculation precision and higher analysis efficiency is provided for quantitative evaluation of rock element migration in multiple fields such as mineralogy, petrology, environmental geoscience and resource exploration.

The present application provides a kind of karst area shale gas intelligent prediction method and system based on artificial intelligence, it is related to artificial intelligence technical field, first, the multi-source exploration data set of target karst area is acquired, including three-dimensional seismic data body, well logging curve data and rock thin section microscopic image data;Then carry out geological entity and geological relationship double extraction, build karst geological knowledge network;Then input knowledge network with multi-source data to generate knowledge enhanced exploration feature representation;Call geological process coupling simulation model to process the feature representation, simulate karst and shale reservoir accumulation interaction, predict shale gas enrichment zone space distribution;Finally, based on the weight iteration optimization of knowledge network to prediction result.This application can comprehensively multi-source data, accurately predict shale gas enrichment zone.

The invention belongs to the technical field of mineral resource evaluation, and provides a metal resource evaluation method and system based on geological exploration, and the method comprises the steps: obtaining and fusing the multi-source geological exploration data of a target region, and constructing a three-dimensional geological model and a prior knowledge base; based on the three-dimensional geologic model and the prior knowledge base, establishing and operating a numerical simulation model for describing the metallogenic process of the target area, and outputting a metallogenic parameter field; calibrating the metallogenic parameter field and the numerical simulation model by using multi-source geological exploration data, and generating an assimilated geological process model; generating a three-dimensional resource model based on the geological structure represented by the geological process model in combination with the multi-source geological exploration data, and calculating to obtain probability distribution of resource quantity; the sampling space of the economic parameters is dynamically determined according to the probability distribution of the resource quantity, cash flow simulation is conducted on the three-dimensional resource model through the sampling space, the probability distribution of the economic evaluation indexes is finally output, and the accuracy and reliability of metal resource evaluation are improved.

The invention discloses a continuous direction-changing stretching structure physical simulation experiment device which comprises an experiment table, a deformation mechanism, a stretching mechanism, a rotating mechanism and a rotation counteracting mechanism. The rotating mechanism comprises a rotating piece, and the stretching mechanism is fixed to the rotating piece. The rotary counteracting mechanism comprises a connecting piece and an arc-shaped sliding rail; one end of the connecting piece is hinged to the deformation mechanism, and the other end of the connecting piece is connected with the output end of the stretching mechanism and provided with a sliding block in sliding fit with the arc-shaped sliding rail; the rotation counteracting mechanism further comprises a feedback assembly used for driving the sliding block to move along the arc-shaped sliding rail. A set of motion decoupling and synchronous compensation mechanism is formed by arranging the rotating mechanism and combining the arc-shaped sliding rail and the connecting piece with the feedback assembly, continuous and smooth change of the stretching deformation direction and stability and controllability of the direction of the model in the experiment process are achieved, the goodness of fit between the simulation experiment and the real geological process is improved, and the simulation experiment efficiency is improved. And the accuracy and the application value of the structure physical simulation technology in the research of the complex stretching structure system are obviously improved.

The present application relates to the technical field of petroleum geology experiment, and particularly relates to an experimental simulation and quantitative evaluation method suitable for carbonate pore and fracture co-evolution. The method comprises the following steps: obtaining the evolution paths of the paleo-temperature, paleo-circumferential pressure, paleo-axial pressure and paleo-pore pressure of the target reservoir through geological process inversion, and converting them into experimental loading parameters; preparing multiple parallel samples and performing initial state multi-scale characterization; implementing the same temperature and pressure co-loading path on the samples under different pore pressure conditions in a high temperature and high pressure triaxial experimental system; performing fine comparative analysis on the samples after the experiment; and finally establishing a reservoir quality evaluation chart through calculation of the unique parameters such as the anti-compaction coefficient, pore and fracture co-enhancement index and fracture connectivity efficiency. The present application solves the problems of disconnection between traditional experiments and geological processes and insufficient multi-field coupling simulation, and realizes accurate revelation and quantitative evaluation of the super-deep carbonate pore and fracture co-evolution mechanism.