50 results about "Geological evolution" patented technology

The invention belongs to the technical field of three-dimensional geological modeling, and discloses a real-time three-dimensional geological modeling system and method based on groundwater dynamics. The system comprises a geological data acquisition module, a complex geological structure modeling module, a geological body internal attribute simulation module, an underground water monitoring module, an underground water simulation module, a geological evolution simulation module, an underground water-geological body simulation module and a visual interaction module. By integrating multi-source data and applying advanced data cleaning and quality control technologies, the accuracy and consistency of the data are ensured, then by utilizing advanced geologic structure modeling and geologic body internal attribute simulation technologies, a high-precision three-dimensional geologic body model is constructed, and the accuracy and consistency of the geologic body model are improved. A reliable space frame is provided for dynamic simulation and analysis of underground water, and timely and accurate information support can be provided for water resource management and environmental protection. The method has a wide application prospect and an important practical value in the fields of dynamic monitoring, analysis and simulation of underground water.

The invention discloses a magmatic rock mineral analysis method and system based on geological images, and relates to the technical field of mineral analysis. A magmatic rock mineral analysis system based on geological images comprises a magmatic rock feature analysis module and a magmatic rock comprehensive analysis module. According to the method, the magmatic rock mineral image and the magmatic rock geological auxiliary data are fused, so that the mineralization evolution history and the future mineralization potential of the magmatic rock can be disclosed; high-precision automatic recognition and classification of minerals in magmatic rocks are achieved through the mineral classification model, manual intervention is reduced, and the recognition efficiency and accuracy are improved; the extracted mineral crystallization characteristics are integrated with the oxygen fugacity characteristics, so that the conjoint analysis of the physical structure and the chemical property of the mineral is realized, and more comprehensive data support is provided for subsequent geological evolution research and mineral product prediction.

The invention relates to the technical field of geotechnical engineering structures, in particular to a multi-factor coupling CFG pile full-life failure probability prediction and optimization method. Comprising the following steps; the method comprises the following steps: S1, integrating resistance degradation, pile-soil interaction, geological evolution and load time-varying characteristics to construct a limit state model; s2, on the basis of the limit state model constructed in the step S1, Monte Carlo simulation circulation is used, the failure probability is calculated, and a CFG pile system failure probability change graph is obtained, S3, parameters in the limit state model are optimized, after each parameter is optimized, the steps S1 to S2 are carried out again, and the optimized CFG pile system failure probability change graph is obtained; according to the method, the accuracy and the adaptability of full-life prediction and optimization of the CFG pile are improved.

The invention relates to the technical field of intelligent control of tunnel boring equipment, in particular to an automatic adjusting method and system for a TBM shield process, and aims to solve the problem that a dynamic causal knowledge graph taking a geological state as a root cause cannot be constructed in the prior art. Bayesian structure learning, model-independent element learning, hierarchical reinforcement learning and a multi-target game mechanism cannot be fused, and interpretable modeling and self-adaptive decision making of a geology-equipment-control coupling relationship are difficult to realize; according to the method, a dynamic causal knowledge graph taking a geological state as a root cause is constructed, Bayesian structure learning, model independent element learning, hierarchical reinforcement learning and a multi-target game mechanism are fused, interpretable modeling and self-adaptive decision making of a'geology-equipment-control 'coupling relationship are realized, causal changes caused by geological evolution can be captured online, and the method has the advantages of being high in reliability and high in reliability. Rapid migration of strategies and generation of layered actions are supported, and accurate control instructions conforming to engineering priorities are output.

The invention discloses a multi-source data fusion-oriented comprehensive geological cause analysis method and system. The method comprises the following steps of 1, generating semantic mapping data; 2, constructing a cause characteristic pedigree tree, and outputting cause main chain data; step 3, generating geological space-time interlacing data; 4, limiting a time window and a space window, and generating spectrum fusion modeling data through a spectrum-guided fusion converter; 5, constructing a three-dimensional voxel grid, and carrying out dynamic clustering to generate a three-dimensional construction model; step 6, generating geological evolution field data; and 7, inputting the geological evolution field data into the improved CrossViT model, setting an interlayer cross attention unit, reconstructing a Token interaction mode, introducing a cause field constraint attention modulation mechanism, and outputting a geological cause analysis result. According to the method, high-precision analysis of complex geological causes is realized through multi-source data semantic mapping, cause pedigree reasoning and CrossViT model improvement.

The invention discloses an ancient landform restoration method based on a geological process and related equipment. The method is specifically implemented by the following key steps. Comprising the steps of recognizing a current stratum interface through seismic interpretation, analyzing and correcting the stratum denudation amount through seismic structure analysis, calculating the original deposition thickness through well-seismic combination, distinguishing rock correction difference compaction, removing the influence of a newly-added containable space through containable space analysis and correcting the surface influence through a sedimentary analogy terrain trend, and finally obtaining the comparable deposition thickness. According to the method, the original landform before sediment deposition is obtained through mirroring, the original landform morphology is obtained through recovery of all geological elements in the geological formation process on the basis of the geological evolution process, and all the elements influencing the landform are stripped and recovered from the final sediment to be corrected step by step. According to the method, all factors influencing the ancient landform restoration are comprehensively considered, and the accuracy of the ancient landform restoration result is improved.

The present invention relates to the technical field of ore deposit data, and specifically relates to an optimized method for digital acquisition of ore deposit information data. Based on the geological evolution history data of the mining area, a three-dimensional geological model is established to simulate the formation and change of the ore deposit at different evolution stages; dynamic simulation of the key parameters of the ore deposit is carried out; according to the prediction of the geological model, the acquisition parameters are adjusted; combined with the geological evolution simulation model, the layout scheme of the sensor array is set; the sensor array adjusts the acquisition angle, azimuth and sensing area in real time through the built-in adaptive algorithm; multi-modal data from different sensors are collected in real time, and feature extraction is carried out through a deep learning model to identify the association patterns of various types of data; during the data fusion process, noise and redundant data are removed; through the anomaly detection module, the collected data is analyzed in real time; according to the geological simulation data and the deployment scheme of the acquisition equipment, the acquisition path and strategy are designed.

The invention discloses a tunnel unfavorable geologic body catastrophe identification method based on an alteration geological evolution sequence, and relates to the technical field of tunnel disaster prevention and reduction, and the method comprises the steps: carrying out the comprehensive advanced geological forecast of an unexcavated section of an excavated tunnel where an unfavorable alteration geologic body is found until a geophysical prospecting abnormal region is found; recording measuring points are arranged in the tunneling direction of the side wall of the excavated section of the tunnel, the three-dimensional coordinates of the measuring points and the tunnel mileage are positioned, and recording data are recorded; carrying out structural plane plotting, rock strength test, underground water state measurement and mineralogy test at the catalog measuring point to obtain in-situ test data; enabling the catalog data to correspond to the in-situ test data according to the tunnel mileage, extracting an undesirable alteration quantitative index, and drawing an alteration evolution sequence diagram; and constructing a bad alteration identification criterion, and if the identification criterion is met, performing trend extrapolation on the bad alteration quantitative index, and constructing a catastrophe evaluation system. According to the method, the engineering attributes and catastrophe of the poor alteration geologic body in front of the tunnel face can be effectively identified.

The invention discloses a digital basin modeling method for multi-source heterogeneous geological data fusion, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source heterogeneous geological data of a target region, and generating fusion geological features; a digital basin initial three-dimensional model is constructed based on fused geologic features, multi-physics-material field coupling simulation and geologic evolution time sequence optimization in a basin space are carried out, a digital basin model is generated, dynamic target scene features are extracted to carry out personalized adjustment and optimization on the dynamic target scene features, and a personalized digital basin model is generated. The technical problems that in the prior art, large basin scale geologic modeling data integration capacity is insufficient, space coverage is limited, and real-time dynamic updating capacity is lacked, so that modeling precision and applicability are insufficient are solved, and the purpose of improving modeling precision and applicability through multi-source data fusion, multi-physical-matter field coupling simulation and reinforcement learning optimization is achieved. And the technical effects of dynamic trueness, precision and scene adaptability of the digital basin model are improved.

The invention discloses a geological exploration data cloud management and analysis method, device and equipment, and the method comprises the steps: achieving the preprocessing of multi-source exploration data through space-time marking and quality grading, and constructing a cloud data lake for structural storage; a geologic feature group is extracted through tensor analysis, data field intensity distribution is established, and a related project group is tracked and positioned through an equipotential line; deploying a data pulsation monitoring network, capturing update frequency fluctuation to form a respiratory rhythm diagram, identifying an active data source and extracting a collaborative triggering mechanism; carrying out evolution analysis after synchronously recombining the project group, obtaining a geological evolution track and extracting a trend vector; performing cross validation on the trend vector and geologic features to generate a confidence gradient field, and tracking a high-confidence path to deduce an exploration hot spot region; a resource allocation matrix is constructed based on hotspot spatial distribution, a project priority sequence is determined, a multi-project collaborative management scheme is output, and a complete technical system of geological exploration from data management, intelligent analysis to decision optimization is realized.

This invention discloses a method for identifying catastrophic changes in unfavorable geological bodies in tunnels based on alteration geological evolution sequences, relating to the field of tunnel disaster prevention and mitigation technology. The method includes: conducting comprehensive advanced geological forecasting on the unexcavated section of an excavated tunnel where unfavorable altered geological bodies have been discovered, until a geophysical anomaly zone is found; setting up logging points along the excavation direction of the tunnel sidewalls of the excavated section, locating the three-dimensional coordinates of the logging points and the tunnel mileage, and recording the logging data; conducting structural surface mapping, rock strength testing, groundwater state measurement, and mineralogical testing at the logging points to obtain in-situ test data; correlating the logging data with the in-situ test data according to the tunnel mileage, extracting catastrophic alteration quantification indicators, and drawing an alteration evolution sequence diagram; constructing an identification criterion for unfavorable alteration bodies; if the identification criterion is met, extrapolating the trend of the catastrophic alteration quantification indicators to construct a catastrophic evaluation system. This invention solves the problem of effectively identifying the engineering properties and catastrophic changes of unfavorable altered geological bodies ahead of the tunnel face.

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 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 invention relates to a quantitative evaluation method for in-source pyrolysis gas and out-of-source pyrolysis gas, which comprises the following steps: firstly, respectively establishing mathematical models for describing changes of two gas products along with geological evolution; secondly, an analysis chart of gas composition under different mixing ratios is constructed based on the mathematical model result; and finally, projecting actually measured gas sample data onto the analysis chart, namely determining the proportion of the two types of source gases, and completing quantitative evaluation of the in-source pyrolysis gas and the out-source pyrolysis gas. According to the method, a dynamic evolution model reflecting geological history is constructed to replace a traditional static model, and a gas source contribution proportion identification chart is generated based on the model. Quantitative analysis can be completed through actual measurement data plumbing, the limitation of a traditional method is overcome, and the accuracy and reliability of identification are improved.

The invention provides a method and equipment for dynamically determining the diffusion amount of natural gas in multiple reservoir cover combinations, and belongs to the field of petroleum and natural gas geological prospecting, and the method comprises the steps: dividing the geological evolution time from gas reservoir formation to current into a plurality of geological time periods; determining the natural gas diffusion amount in each geological time period; and adding the natural gas diffusion amounts in different geological time periods to obtain the accumulated natural gas diffusion amount of the gas reservoir. Wherein the lithologic stratums included in the gas reservoir overlying strata in different geological time periods are different, and weighted average calculation is carried out on the effective diffusion coefficient at each geological moment according to the thicknesses of the different lithologic stratums to obtain a comprehensive diffusion coefficient. By means of the method, the dynamic evolution process of the natural gas diffusion amount along with the geological time can be obtained, and the calculated diffusion amount error is small and conforms to the actual geological evolution process.

The invention relates to the technical field of geological early warning, in particular to an early warning method and system for geological disaster monitoring, and the method comprises the steps: updating an initial geological twinborn model according to the real-time monitoring data of a target monitoring area, and obtaining a target geological twinborn model; performing deduction calculation on the target geological twin model based on weather forecast data in the target time period to obtain a geological evolution trend of the target monitoring area in the target time period; when the geological evolution trend is identified to have the geological instability state, determining a driving factor causing the geological instability state in the geological evolution trend; according to the geological evolution trend and the driving factor, the early warning information is generated, and the defect that a black box model can only output an abstract conclusion is avoided.

The invention belongs to the technical field of sand box physical simulation, and discloses a multi-stage tectonic activity superposed co-sedimentary sand box physical simulation method and device, and the method comprises the steps: building a model based on stratum lithology, actual geologic features and a basin prototype, and the model comprises a stratum simulation layer, a slip structure simulation layer and a substrate; utilizing the model to simulate a basin evolution process and performing monitoring; and analyzing and processing the monitored data. According to the method, the whole simulation process is divided into a plurality of construction periods based on the geological evolution background of a research area, an experiment scheme is designed, experiment materials are selected, and corresponding stratum simulation layers are laid according to stratum and construction characteristics of different stages, so that compared with a traditional method, the method is more in line with the actual geological law; according to the method, the multi-stage tectonic stress effect and co-deposition effect superposed basin evolution process can be well simulated, the fracture development process can be accurately simulated, the tectonic evolution mode of the superposed basin can be verified, and a reliable basis is provided for subsequent basin exploration, development and research.

The invention relates to the technical field of geological teaching instruments, in particular to a multi-mode interactive demonstration method and system for stratum contact relation teaching. The method comprises the following steps: acquiring placement data of a stratum demonstration module and sensing data of an intelligent base plate; the data is input into the multi-modal interactive demonstration system, the stratum contact relation type is recognized through the stratum type recognition module, an LED control signal is generated through the visual demonstration module to visualize the contact boundary line, and AR display content is generated through the augmented reality module; and outputting a multi-mode demonstration result through the output module. The system comprises an intelligent base plate, a stratigraphic relation demonstration module library, a processing unit and a display unit. According to the invention, through multi-sensor fusion and multi-modal feedback, the geological evolution process is dynamically visualized, and high-reproducibility interactive teaching of the stratum contact relationship is realized.

The invention discloses a pegmatite lithium mineralization potential prediction method based on tourmaline spectral characteristics, and belongs to the technical field of mineral exploration, the method comprises the following steps: taking pegmatite samples with different drilling depths, and carrying out microscopic classification on tourmaline samples in the pegmatite samples; performing element measurement on the classified tourmaline; carrying out spectrum measurement on the classified tourmaline by adopting a wavelength dispersive spectrometer to obtain spectrum data; extracting and processing the spectral characteristic parameters; obtaining wave spectrum characteristics of different types of tourmaline, and then establishing a wave spectrum database; based on the spectrum database, establishing a related diagram of the spectrum characteristic value and the lithium content; and finally, obtaining a potential evaluation result of mineralization of pegmatite type lithium based on the spectrum characteristic values of different types of tourmaline. The pegmatite type lithium mineralization can be accurately judged, a large amount of data calculation is not needed, the method has the advantages of being wide in application range, high in precision and the like, and a powerful tool is provided for geological evolution and mineralization mechanism research.

The application discloses a comprehensive geological genesis analysis method and system for multi-source data fusion, and comprises the following steps: step one, generating semantic mapping data; step two, constructing a cause characteristic pedigree tree and outputting cause main chain data; step three, generating geological space-time interleaving data; step four, limiting a time window and a space window, and generating spectrum fusion modeling data through a spectrum guide fusion transformer; step five, constructing a three-dimensional voxel grid, and performing dynamic clustering to generate a three-dimensional structure model; step six, generating geological evolution field data; and step seven, inputting the geological evolution field data into an improved CrossViT model, setting an interlayer cross attention unit, reconstructing a Token interaction mode, introducing a cause field constraint attention modulation mechanism, and outputting a geological genesis analysis result. Through multi-source data semantic mapping, cause pedigree reasoning and the improved CrossViT model, high-precision analysis of complex geological genesis is realized.

The invention provides an AI geological structure interpretation method and system for a complex stratum, and relates to the technical field of geological structure interpretation, and the method comprises the steps: firstly obtaining a geological data set, including stratum outcrop observation data, drilling rock core recording data and geophysical prospecting reflection signal data, of a to-be-interpreted region, constructing a geological structure evolution initial field, and dividing geologic body units; the method comprises the following steps: extracting attributes to generate a geologic body unit attribute total set, inputting the geologic body unit attribute total set into a model to generate a geologic body unit structure association map, constructing a dynamic structure interpretation constraint system in combination with a regional geologic evolution process, calling a geologic structure dynamic deduction model, and inputting related data to carry out multi-stage structure evolution dynamic deduction. According to the method, a geological structure evolution panoramic sequence is generated, parameters and features are extracted according to the panoramic sequence, a geological structure interpretation result containing various geological structure evolution rules is formed through integration, and the accuracy and reliability of complex stratum geological structure interpretation can be improved.

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 application discloses a land-oriented super-deep volcanic mechanism identification and lithofacies space prediction method and device, constructs a multi-element constraint system of "lithology-lithofacies-logging response-seismic response-geological evolution", that is, fuses core, slice, logging, seismic and regional tectonic evolution data, establishes a corresponding relationship between different volcanic rock lithofacies and logging, seismic facies and seismic attributes, and realizes identification and space distribution prediction of volcanic mechanism units such as volcanic channels, volcanic vents, eruption bodies, explosion accumulation bodies and volcanic sedimentary bodies under the constraint of regional structure and volcanic eruption evolution background, so that the exploration and evaluation precision of deep-super-deep volcanic rock oil and gas reservoirs is improved.

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.

The invention discloses a continental facies mud shale gas geological evolution simulation analysis method, and relates to the technical field of oil-gas exploration, the method comprises the following steps: drilling a test shale core sample and sandstone sample combination to obtain a simulation geological sample; according to the stratum burying mode, the ground temperature gradient and the pressure, performing a hot-pressing simulation experiment on the simulation geological sample to obtain a simulation experiment product; calculating HI and TOC parameter values of the simulation experiment product, and obtaining a geological maturity Ro value corresponding to each experiment temperature point; according to the Ro value, obtaining an oil discharge efficiency curve of the simulated geological sample at different geological maturity; and performing reservoir space evolution simulation and shale pore quantitative analysis on the simulation experiment product to obtain a shale reservoir sample analysis result. Through combination of a hot-pressing simulation experiment and liquid hydrocarbon / gaseous hydrocarbon separation analysis, the oil discharge efficiency and the pore evolution characteristics are synchronously quantified, and the problems that the hydrocarbon discharge efficiency error is large and the pore structure is difficult to accurately evaluate in a traditional method are solved.

The application discloses a mineral exploration method based on ancient vortex center identification, and belongs to the technical field of cross of geological mineral exploration, geodynamics and metallogenic prediction. Based on the vortex energy field, vortex contraction potential energy and energy collapse convergence metallogenic theory, the application innovatively proposes a three-layer material differentiation coupling rule of water ancient vortex and mantle magma ancient vortex, takes the ancient vortex center formed in the ancient geological evolution as a core metallogenic target area, accurately identifies and positions the ancient vortex center and vortex ore-controlling structure by means of the technical means combining multi-source data interpretation, field geological verification, geophysical and geochemical detection, divides the vortex core metallogenic belt, the middle life macromolecule synthesis belt and the peripheral hydrocarbon and oil and gas metallogenic belt, and realizes efficient and accurate collaborative exploration of exogenous mineral resources, endogenous metal mineral resources and oil and gas resources by using the core rule that the vortex center contraction potential energy gathers ore-forming materials and energy collapse promotes ore deposition. The application breaks through the limitation of traditional geological exploration, starts from the essence of energy and power of the earth evolution, establishes a new ancient vortex ore-controlling exploration system, is suitable for the general survey, detailed survey and deep concealed ore exploration of various metal deposits and oil and gas energy mineral resources, greatly improves the prospecting accuracy and reduces the exploration cost, and has double major values of mineral exploration and life origin research.

The invention provides a deterministic modeling method and device for a strike-slip fracture nuclear band structure, and relates to the technical field of velocity modeling in oil and gas resource exploration, and the method comprises the steps: determining the distribution range of a strike-slip fracture fracture band, so as to determine velocity parameters corresponding to each structure in a stratum and a strike-slip fracture fracture band reservoir body; on the basis of the sedimentary background stratum geologic model, speed parameters corresponding to the sedimentary background stratum are filled, and a sedimentary background stratum speed model is obtained; on the basis of the fracture zone control range and the reservoir body geologic model, filling speed parameters corresponding to all structures in the strike-slip fracture fracture zone reservoir body to obtain a fracture zone control range and reservoir body speed model; and according to the difference of the geological evolution process, combining to obtain a strike-slip fracture fracture zone geological model and a strike-slip fracture fracture zone speed model. According to the method, instability caused by the fact that conventional software adopts a floating layer for modeling is avoided.

The application discloses an experimental device and an experimental method for simulating flexural deformation of a lithosphere, and the experimental device comprises an experimental sand box and a tectonic deformation motion control device, experimental materials are laid in the experimental sand box, and an active push plate which can move up and down and left and right is arranged, the active push plate is connected with a driving device, and the driving device controls synchronous movement of the active push plate in horizontal and vertical directions to extrude the experimental materials. Different experimental materials can simulate different layers of the lithosphere, glycerol and sugar syrup can simulate a soft asthenosphere, different granular materials and a mixture of silica gel in different proportions can simulate the lithospheric mantle and a weak layer or a strong hard layer in the lithosphere, and the granular materials and the mixture can simulate the crust, so that tectonic physical simulation of flexural deformation of the lithosphere with different rheological structures is completed. The application realizes geological evolution processes caused by flexural deformation of the lithosphere, such as converging plate collision subduction, basin and mountain system evolution and formation of a foreland basin. The experimental method is simple, convenient to operate and wide in application range.

The invention discloses a physical simulation experiment method, device and equipment based on a geological structure and a medium. According to the method, a three-dimensional geological evolution model of a target area is constructed according to at least one of geological data, seismic data, geometric data, kinematic data and dynamic data of the target area; based on a similarity principle, constructing a sand box experimental model of the target area according to the three-dimensional geological evolution model; and pouring and slicing the sand box experiment model by utilizing a gelatin solution to obtain a solidified slice model, and determining the structural deformation characteristics of the sand box experiment model based on the solidified slice model. According to the technical scheme, the sand box experimental model is solidified and sliced by utilizing the gelatin solution, so that the sand box experimental model is prevented from being constrained by boundary conditions after deformation is finished, and the accuracy of the sand box experimental model on geological structure analysis is improved.

The invention relates to the technical field of geochemical mass migration calculation, in particular to a geological evolution inactive element selection method, which is mainly characterized by comprising the following steps of: establishing a reaction substance-product geological evolution concept box model, determining the concentration of each element, fitting the system evolution degree by utilizing a least square method, and calculating the geological evolution inactive element. Calculating an inactive element partitioning coefficient threshold value to determine candidate elements, calculating partitioning coefficients of all the elements, and selecting the candidate element with the maximum partitioning coefficient as an optimal inactive element; compared with the prior art, the method has the advantages that subjective judgment in an existing method can be effectively overcome, and the problem that inactive elements are selected depending on experience is avoided, so that a more scientific and reliable geological evolution inactive element selection method is provided; the method has a wide application prospect in the geological research fields of structural background discrimination, magmatic rock classification, sediment source area analysis and the like.