39 results about "Volcano" patented technology

The embodiment of the invention discloses a method for determining abnormal disturbance of a volcano ionized layer. The method comprises the following steps: acquiring ground-based GNSS (Global Navigation Satellite System) original observation data; preprocessing the ground-based GNSS original observation data to obtain an ionized layer TEC data set; according to the variance of the wavelet energy spectrum measurement time sequence of the ionized layer TEC data set in the time domain and the frequency domain, ionized layer TEC data highly related to the space weather environment is removed, and an optimal ionized layer TEC data set not affected by the space weather environment is obtained; an LSTM algorithm is improved through a Prophet algorithm, and an upper boundary line and a lower boundary line of volcano ionized layer TEC abnormal disturbance are determined based on the optimal ionized layer TEC data set; and determining whether the volcano ionosphere has abnormal disturbance or not according to a comparison relationship between the TEC observation data of the ionosphere and the upper boundary line and the lower boundary line of the abnormal disturbance of the TEC of the volcano ionosphere. According to the method, data processing is carried out, space weather interference is removed, an LSTM algorithm is improved by using a Prophet algorithm to realize abnormal disturbance identification, and volcanic eruption can be efficiently monitored.

The invention discloses a moon dark mantle sediment identification method and system based on a yov8 model, and the method comprises the steps: introducing a multi-scale feature extraction module into a moon dark mantle sediment identification model in a process that a skeleton network module outputs a feature map, enabling the model to employ a multi-scale convolutional neural network to extract the features of an image, and carrying out the recognition of the features of the image; the scale adaptability and nonlinearity of the model are enhanced, and the performance of detecting the multi-scale target by the model is improved. According to the method, the dark mantle sediment data and a deep learning algorithm are combined, so that the recognition capability on complex terrains and sediments with different scales is improved. Meanwhile, the method has higher detection precision and speed, can quickly respond to requirements under different observation conditions, and provides more reliable data support for scientific research. The method provided by the invention can provide important scientific basis for detection of the sediment of the dark mantle, astronomical exploration, mineral resource evaluation, revealing of the volcanic activity history and the structural evolution process of the early stage of the moon and the like.

The invention discloses a method for molding a near-source phase, a middle-source phase and a far-source phase of a volcanic institution, and the method comprises the steps: S1, constructing a three-dimensional digital model of the volcanic institution in a to-be-simulated region, and the three-dimensional digital model comprises a near-source phase belt digital model, a middle-source phase belt digital model and a far-source phase belt digital model; s2, selecting a high-speed material, and crushing and screening the high-speed material to obtain high-speed material powder; wherein the speed of the high-speed material is 200-400m / s higher than that of the volcanic mechanism overflow phase, and the density of the high-speed material is greater than that of the volcanic mechanism overflow phase And S3, the obtained high-speed material powder is adopted, a composition containing epoxy resin serves as an overflow phase for casting molding, three-dimensional carving is conducted according to the obtained near-source phase belt digital model, the obtained middle-source phase belt digital model and the obtained far-source phase belt digital model, and a near-source phase belt model, a middle-source phase belt model and a far-source phase belt model are manufactured respectively. The molding method disclosed by the invention is more intuitive and accurate and has higher modifiability.

The invention provides a method and system for identifying a volcanic institution facies belt boundary, and belongs to the technical field of oil exploration and development. The method comprises the following steps: dividing a drilled facies belt according to three-dimensional seismic reflection characteristics and a preset type of lithofacies proportion of a drilled well; constructing a near-source facies belt pseudo well and a far-source facies belt pseudo well based on the division result of the drilled facies belt and the multiple types of drilled lithofacies; based on the near-source facies zone pseudo well and the far-source facies zone pseudo well, determining a value range corresponding to a preset type of lithofacies proportion of the volcanic institution; based on the three-dimensional seismic data volume of the volcanic institution, a planar graph representing a facies belt is obtained; according to the value range corresponding to the preset type lithofacies proportion of the volcanic institution, volcanic institution facies belt division is carried out on the planar graph representing the facies belt, and the boundary between the near-source facies belt and the far-source facies belt is obtained. Therefore, the boundary between the near-source phase belt and the far-source phase belt is accurately and effectively defined, the near-source favorable phase belt of the volcanic institution is quickly focused, and a foundation is laid for an exploration target.

The invention discloses a method and a device for quantitatively characterizing the influence intensity of ancient volcanic activities, which can be used in the field of geophysical exploration, and the method comprises the following steps: determining the compaction recovery coefficient of vacant tuff according to the sorting coefficient and the current porosity; according to the compaction recovery coefficient and the thickness of the bare slice hollow falling type tuff, the original deposition thickness of the hollow falling type tuff is determined; according to the original deposition thickness and the number of layers of the empty tuff, determining the volcanic activity influence intensity of the to-be-detected area; wherein the sorting coefficient is the sorting coefficient of the empty tuff and is obtained by carrying out particle size analysis on a polished thin section; the current porosity is the current porosity of the empty tuff corresponding to the polished section and is obtained by measuring the porosity of the polished section; the thickness and the number of layers of the empty tuff corresponding to the bare slice are obtained by identifying the bare slice. According to the method, evaluation standards of the volcanic activity influence can be established, and the intensity of the volcanic activity influence on the to-be-detected area can be quantitatively represented.

The utility model discloses a diagenetic and metallogenic simulation test device which comprises a mantle simulation temperature zone, an earth crust simulation temperature zone and a pressurization system, the mantle simulation temperature area comprises a mantle temperature simulation area; the earth crust simulation temperature zone comprises an earth crust zone and an earth crust temperature control zone; the pressurization system comprises a sample pool and a high-pressure interface, the sample pool is connected to the earth crust area through the high-pressure interface, and the earth crust temperature control area and the mantle temperature simulation area are combined to form a closed-loop structure of the earth; a deep geological process and mineral phase change are researched by simulating high-temperature and high-pressure conditions in a geological environment, a sample is placed in high-temperature and high-pressure equipment, and a high-temperature and non-pressure-loss environment, similar to volcanic eruption but not to the surface of the earth, of deep molten slurry of the earth crust from a mantle to the earth crust is simulated by controlling temperature and pressure and adopting a rapid quenching mode; various diagenetic and metallogenic conditions within 10000 meters under the ground are adopted; and multi-temperature-zone control can be carried out, and the travel process and physical conditions of various minerals with the depth of 0-10000 meters on the earth surface can be met.

The present invention belongs to the technical field of resource data collection and assessment, and in particular relates to a method for identifying the time scales of ecological environment recovery at different scales after volcanic activity. Based on a variety of analytical test data methods such as major elements and trace elements, the method analyzes changes in the shale sedimentary environment and environmental disturbances caused by sudden events, and establishes a method for identifying the time scales of ecological environment recovery at the centimeter-level and micrometer-level scales of cores and thin sections. This method provides a new approach to calculating the time scale of environmental impacts after volcanic activity. Based on the analysis of changes in the shale sedimentary environment and environmental disturbances caused by sudden environmental events, the method calculates the time scale of shale sedimentary sections during the ecological environment recovery period under the influence of volcanic activity, establishes a comparative scale from ecological environment chaos to stability, clarifies the time depth of the specific environmental impact of volcanic activity, improves the distribution and positioning accuracy of high-organic matter shale, and provides guidance for the exploration of high-quality organic-rich shale layers.

The invention provides a volcanic institution identification method based on seismic data. The volcanic institution identification method comprises the following steps: step 1, obtaining result seismic data including post-stack seismic data; step 2, carrying out construction smoothing processing on vibration signals in the post-stack seismic data; step 3, carrying out low-pass filtering on the vibration signal after construction smoothing processing; and step 4, obtaining the amplitude and instantaneous frequency of the vibration signal after low-pass filtering, and identifying the vibration signal as a spurting phase mechanism. The low-pass filtering can eliminate the influence of the high-frequency component in the vibration signal on the dominant frequency. Furthermore, by calculating the amplitude and the instantaneous frequency, the strong amplitude and the low frequency are taken into the main mechanism identification basis, interference can be eliminated, and the underground structure or geologic features can be identified more effectively.

A method for analyzing seismic data of a subterranean formation includes obtaining the seismic data and identifying one or more potential carbonate buildups in the seismic data. Further, historical paleoclimate data for the formation of the one or more potential carbonate buildups is obtained, and the seismic data and the historical paleoclimate data are processed to generate a plurality of parameter scores for a plurality of characteristics of the formation; A weighted sum calculating scores is calculated using a plurality of parameter weights.

The application provides a volcano eruption event monitoring method and device based on real-time seismic amplitude measurement, which comprises the following steps: obtaining key information and seismic waveform data of a target station; performing standardization preprocessing on the seismic waveform data through signal processing parameters, and converting the processed seismic waveform data into a real-time seismic amplitude measurement (RSAM) data sequence; configuring an RSAM numerical threshold according to a monitoring alarm parameter, and counting the duration of the RSAM numerical value in the RSAM data sequence exceeding the RSAM numerical threshold; and generating target event alarm information in the case that the duration exceeds a time threshold. The method and device can effectively distinguish real volcano events from environmental interference, have high reliability, do not need to rely on a large amount of high-quality labeled data, have high algorithm efficiency and low algorithm cost.

The invention discloses a volcano channel identification method and device based on a neural network, a medium and terminal equipment. The method comprises the following steps: step 1, obtaining a plurality of groups of seismic profile maps; 2, carrying out gray processing on the multiple groups of seismic profile maps, and taking the seismic profile maps as a sample database; step 3, establishing a convolutional neural network model and ensuring the accuracy of the established convolutional neural network model; and 4, identifying a volcano channel in the seismic profile map and outputting a volcano channel map. The device comprises an acquisition module, an identification model establishing module and a transmission module. A computer program is stored in the medium, and the volcano channel identification method can be realized when the computer program is executed by the processor. The apparatus includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The volcano channel identification accuracy can be effectively improved, the labor consumption can be effectively reduced, and the working efficiency can be effectively improved.

The application discloses a method for quantitatively analyzing mercury in different occurrence states in sedimentary rocks, belongs to the technical field of geological rock analysis, extracts kerogen from whole rock, respectively determines the mercury content and the organic carbon content of the whole rock and the kerogen, then carries out high-temperature thermal desorption analysis on equal quality of the two, obtains a thermal desorption curve, divides the release stages of different mercury occurrence states according to the thermal desorption curve, and calculates the content and proportion of mercury in each stage, and finally combines the total mercury content of the whole rock, the mercury content of the kerogen and the mass ratio, and obtains the inorganic mercury content through mass balance calculation. The method divides mercury into organic matter combined state (in kerogen) and inorganic combined state through physical separation and high-temperature pyrolysis, overcomes the multi-solution problem of traditional correlation fitting, significantly improves the accuracy and reliability of mercury as a volcanic activity tracer, and verifies the experimental data through mass balance calculation, avoiding the misjudgment of a single fitting method.

The application discloses a buried volcanic mechanism phase zone denudation amount recovery method and belongs to the technical field of sedimentary basin denudation amount recovery. The method comprises six steps of establishing a denudation amount recovery foundation database, identifying a buried volcanic mechanism and dividing internal phase zones, distinguishing different phase zone denudation recovery methods, determining a regional denudation reference amount, near-source phase zone and middle-source phase zone denudation amount recovery and far-source phase zone denudation amount recovery. According to the morphological characteristics and weathering denudation differences of different phase zones of the buried volcanic mechanism, the method determines the denudation amount recovery methods of the near-source phase zone, the middle-source phase zone and the far-source phase zone, respectively, avoids the error caused by uniformly assigning the regional denudation amount to the whole volcanic mechanism, realizes the differentiated recovery of the denudation amounts of different phase zones of the buried volcanic mechanism, improves the rationality and the quantitative degree of the denudation amount recovery of the buried volcanic mechanism, and thus has good application value for deep-ultra deep oil and gas exploration.

The invention relates to the field of oil and gas exploration seismic data processing, and discloses a two-dimensional offset seismic section generation method, device, equipment and medium, which can select a target underground area comprising a volcano channel according to the volcano channel, perform numerical simulation based on a two-dimensional vertical section of the target underground area, generate a volcano deformation matrix, and generate a seismic data matrix. And then a two-dimensional offset seismic section corresponding to the two-dimensional vertical section is generated based on the volcano deformation matrix. According to the method, the numerical simulation of the two-dimensional offset seismic section containing the volcano channel can be effectively realized, and the accuracy of the generated two-dimensional offset seismic section containing the volcano channel can be improved.

This invention discloses an experimental apparatus and method for a similar model of a rock wall expansion. The apparatus includes a transparent experimental chamber, a layered gelatin system, a terrain simulation system, a dynamic injection system, a multimodal monitoring system, and a data acquisition and processing system. By independently adjusting the stiffness and density ratios of the upper and lower gelatin layers, combined with a detachable double-slope terrain mold, a systematic study of the coupled effects of multiple factors such as terrain, stiffness layering, density layering, and injection rate is achieved. The three-dimensional morphological evolution of the rock wall is simultaneously monitored using a multi-view high-speed camera, and the full-field displacement field, strain field, and principal stress direction during the rock wall expansion process are inverted in real time using digital image correlation technology. This reveals the control mechanism of stress gradient reversal caused by terrain on the lateral expansion and cessation of the rock wall. Furthermore, dimensionless analysis and boundary correction improve the similarity between the model and the natural prototype, providing a reliable experimental platform for volcanic eruption prediction and magma transport law research.

The invention relates to the technical field of rock simulation forming experiments, and particularly discloses a simulation device for automatic compaction diagenesis of volcaniclastic and a working method.The simulation device comprises an automatic compaction mechanism, a liquid supply mechanism and a recovery measurement mechanism, and a first compaction shell and a second compaction shell are of the same structure; compaction cavities are formed in the first compaction shell and the second compaction shell, volcanic debris is placed in the compaction cavities, the heating layers provide different temperature environments for the volcanic debris in the compaction cavities, and the bottoms of the first compaction shell and the second compaction shell are connected with the same telescopic cylinder; the liquid supply mechanism is provided with three groups of liquid storage barrels and three groups of pump bodies, the input ends of the pump bodies are connected with the corresponding liquid storage barrels through pipelines, and the output ends of the pump bodies are connected with the liquid inlet pipeline through pipelines; the recycling and measuring mechanism is provided with a metering container and an oil-water separator; according to the invention, a contrast experiment is effectively formed, objective errors of the experiment are avoided, experiment data are more accurate, compaction and liquid injection are both automatically operated, the accuracy is higher, and the experiment efficiency is higher.

The utility model discloses a volcanic eruption stunt simulation system which is characterized in that an eruption port, a magma overflow stone seam and a magma flowing channel are arranged at the top end of a hollow volcanic mountain body model; the magma eruption simulation device is provided with a magma eruption port, and the magma eruption port is arranged at the eruption port; the magma overflow simulation device is provided with a magma overflow port, and the magma overflow port is arranged at a magma overflow stone seam; the magma overflow simulation device is provided with a magma pool which is located at the bottom of the hollow volcanic mountain body model and can receive magma flowing back; the high-temperature smoke eruption simulation device is provided with a smoke eruption port, and the smoke eruption port is arranged at the eruption port at the upper end from the interior of the hollow volcanic mountain body model and can erupt simulated high-temperature smoke outwards; the ultraviolet light assembly is arranged outside the hollow volcanic mountain body model and can irradiate the flowing simulation magma sprayed out of the spraying opening in the upper end of the hollow volcanic mountain body model. According to the system, light, smoke and fluid are combined to simulate scene effects during volcanic eruption, and various dreamlike scene effects of a real world can be simulated.

The invention discloses an igneous rock seismic fractal recognition and construction method. The method comprises the steps of well seismic calibration; determining the distribution type of igneous rocks in the research area based on well-seismic calibration; seismic detection of the intrusive rock mass: eliminating strongly reflective sandstone in the intrusive rock mass in the research area to obtain an intrusive rock attribute body; carrying out earthquake detection on the fire body, extracting a variance body of the fire body in the research area, carrying out normalization, and pressing a high-value section by using a target pressing and releasing technology to obtain an indicator of the fire body; carrying out the extraction of the top and bottom enveloping surfaces of the fire body from the attribute body after the target compression, and carrying out the background compression of the fire body through the constraint of the top and bottom enveloping surfaces of the fire body, thereby forming a background shielding reinforcement of the fire body; and performing fractal construction on the igneous rock, and combining the intrusive rock attribute body and the fire body background shielding reinforcement body to obtain a complex of igneous rock space distribution. According to the method, spatial distribution of igneous rocks is comprehensively described through fractal detection and an embedded construction technology, and a geological foundation is laid for well trajectory optimization and well leakage prevention of an igneous rock development area.

The application discloses a kind of based on hidden explosion breccia pipe Volcano-intrusive type iron deposit metallogenic mechanism determination method, belong to mineral geological exploration technical field.The method includes: underground geological feature exploration, preliminary determination of ore-forming characteristics by the corresponding relationship of the zonal distribution characteristics of hidden explosion breccia pipe and surface radial cleavage;Magnetite geochemical test and iron source area tracing, use LA-ICP-MS micro area composition analysis and sulfur isotope test to verify the correlation of hidden explosion breccia pipe mineralization and deep magma;Ore body characteristic identification and verification, the matching of ore body and rock pipe, etc. Characteristics such as magnetite crystal form are used to verify the ore-forming characteristics;Metallogenic mechanism distinguishes and finally determines.The present application first discovers the superposition phenomenon of hidden explosion breccia pipe metallogenic mechanism and traditional mechanism in Volcano-intrusive type iron deposit, and the determination method is accurate and reliable, which can provide a theoretical basis for prospecting and mining in the boundary area of Volcano-intrusive type iron deposit, and effectively improve the efficiency of mineral exploration and mining.

The invention relates to the technical field of oil-gas exploration, in particular to a surrounding rock heterogeneity influence removal method based on waveform component clustering, which is characterized in that by combining waveform decomposition and reconstruction with waveform clustering, geological significance represented by seismic information is clear while strong reflection is removed, and result reasonability is verified by combining various factors, so that the influence of the surrounding rock heterogeneity is eliminated. And a prediction result most conforming to the geological viewpoint is obtained. According to the method, seismic facies analysis is carried out on the waveform component body, geophysical information is associated with geological information, and the problem that waveform decomposition data is indefinite in geological significance is solved. Waveform clustering is utilized to describe component volume seismic facies, seismic reflection characteristic planes are visualized, data dimension reduction is achieved, component volumes are sorted based on a seismic facies plane distribution diagram, and sorting efficiency is improved. A seismic interpretation problem is converted into a qualitative problem of a waveform component, the influence of volcanic surrounding rock on seismic reflection characteristics of a target stratum is removed, it is guaranteed that a prepared interpretation scheme is reasonable, and quality control is conducted through multiple factors in each stage.

The invention provides a paleo-climate change analysis method and system based on multi-source data fusion, and relates to the technical field of paleo-climate change analys.The paleo-climate change analysis method comprises the steps that volcanic and sulfur cycle related multi-source geochemical indexes are collected and processed in a standardized mode, time alignment is achieved in combination with a geology method, and the consistency and continuity of data are guaranteed; a multivariable causal structure is constructed based on a Bayesian network, volcanic events are set as hidden variables, modeling is carried out on observation indexes in combination with conditional Gaussian distribution, causal relationships and statistical characteristics among multiple indexes are mined, and the problems of data uncertainty and missing are solved; by dynamically calculating posterior probabilities of volcanic events and sulfur cycle anomalies, objective judgment based on probabilities is realized, volcanic-driven sulfur cycle disturbance events are accurately identified, and time matching and correlation analysis are performed in combination with paleoclimate event tags, so that an influence mechanism of volcanic activities on paleoclimate changes is disclosed.

The invention belongs to the technical field of shale oil exploration, and discloses a method for searching for an oil-rich reservoir in a continental facies shale oil reservoir based on rock paleomagnetic characteristics. Therefore, the paleomagnetic characteristics of the shale sample are used as connection points of volcanic activities and organic matter enrichment, and rapid and accurate positioning of the organic matter-rich horizon in the shale is guided. Rock powder is not needed in the magnetic susceptibility test, only about 10 g of rock fragments are needed, about 30 samples can be tested in one hour, the machine-hour cost is 3000 yuan / hour, and each sample is about 100 yuan. Therefore, a large amount of time and test cost can be saved after the method is used. The method is favorable for testing a large number of samples, and is applied to early exploration of organic matter-rich horizon selection.

This application discloses a cosmic ray-based remote sensing method for detecting the internal state of a volcano. The method comprises the following steps: placing at least one muon detector at a preset observation point, collecting muon information at the observation point, repeating the above steps, and then collecting the muon incidence angle and a second muon flux corresponding to the muon incidence angle of the volcano to be measured; calculating the muon attenuation flux; obtaining a volcano density structure table, searching for and obtaining the target density length in the volcano density structure table; analyzing the volcano's topography to obtain volcano contours, where the volcano contours are obtained using the GP map function; calculating the volcano's structural density from the volcano's external dimensions and density length; comparing the volcano's structural density with a preset density threshold, where the preset density threshold is the volcano's theoretical density value; and if the volcano's structural density is not equal to the volcano's theoretical density value, determining that there is a risk in the volcano's geological exploration in the muon incidence direction, thereby enabling monitoring of the volcano's internal state.

The present invention relates to the field of oil and gas exploration technology, and relates to a method for removing the influence of surrounding rock heterogeneity based on waveform component clustering. By combining waveform decomposition and reconstruction with waveform clustering, it is possible to remove strong reflections while clarifying the geological significance represented by the seismic information, and combining multiple factors to verify the rationality of the results, and obtain the prediction results that best conform to the geological viewpoint. The present invention performs seismic phase analysis on waveform component bodies, associates geophysical information with geological information, and solves the problem of unclear geological significance of waveform decomposition data. Waveform clustering is used to characterize the seismic phase of the component body, and the seismic reflection characteristic plane is visualized to achieve data dimensionality reduction. The component body is sorted based on the seismic phase plane distribution map, thereby improving sorting efficiency. The seismic interpretation problem is converted into a qualitative problem of waveform components, and the influence of volcanic surrounding rocks on the seismic reflection characteristics of the target layer is removed to ensure that the proposed interpretation plan is rational. Each stage is subject to quality control using multiple factors.

The invention belongs to the technical field of resource data acquisition and evaluation, and particularly relates to a method for identifying different ecological environment recovery time scales after volcanic activities. Based on various analysis test data methods of major elements, trace elements and the like, environment disturbance caused by shale deposition environment changes and emergencies is analyzed, and a core centimeter-scale-slice micron-scale ecological environment recovery time scale identification method is established. A new thought is provided for calculation of the environmental influence time scale after volcanic activities, analysis is carried out based on shale deposition environment changes and environmental disturbance caused by sudden environmental events, the time scale of a shale deposition section in the ecological environment recovery period under the influence of volcanic activities is calculated, and a comparison scale for ecological environment confusion to stability is established. The time depth of specific environment influence of volcanic activities is determined, the distribution positioning precision of the shale with high organic content is improved, and guidance is provided for exploration work of high-quality layer sections of the shale with rich organic content.

To provide a prediction method capable of rapidly predicting the hardening characteristics of hydraulic compositions containing volcanic ejecta deposits.SOLUTION: The present invention relates to a method for predicting the setting characteristics of a hydraulic composition containing a volcanic ejecta deposit, and the prediction method includes a prediction step of predicting the setting characteristics of the hydraulic composition using at least one measured value selected from the group consisting of: the SiO2 content; Al2O3 content; Na2O content; K2O content; R2O content; heat of hydration; BET specific surface area; Fe3+ ion ratio to the total amount of Fe3+ and Fe2+; the a value in the Lab color system; and the b value in the Lab color system of the volcanic ejecta deposit.SELECTED DRAWING: None

The present invention belongs to the field of shale oil exploration technology and discloses a method for finding oil-rich strata in terrestrial shale oil layers based on the paleomagnetic characteristics of rocks. The present invention utilizes the correlation between volcanic sedimentary materials and oil and gas distribution in shale oil layers, thereby using the paleomagnetic characteristics of shale samples as the connection point between volcanic activity and organic matter enrichment, guiding the rapid and accurate positioning of organic-rich strata in shale. Since the magnetic susceptibility test does not require rock powder, only about 10 g of rock fragments are required, and about 30 samples can be tested in 1 hour, the machine hourly fee is 3,000 yuan / hour, and each sample is about 100 yuan. Therefore, the use of the method of the present invention can save a lot of time and testing costs. It is conducive to the testing of a large number of samples and is applied to the selection of organic-rich strata in the early stages of exploration.

The application discloses a kind of geological structure delineation method and system based on cross gradient constraint, including according to geological rock distribution characteristics unit time acquisition geological state information, according to the geological state information judges crustal movement period;Based on cross gradient model, the distribution of each rock layer is delineated, based on distribution situation receives the delineation request of volcanic eruption input, generates delineation task, and sends to host computer;According to plate fracture information, obtain plate displacement trajectory, calculate deviation according to plate displacement trajectory, and generate geological structure mutation information according to deviation.The application establishes delineation model, directly reflects the state of each rock layer, adjusts distribution situation per unit time, provides guidance for delineation;When plate displacement, no obstacle is set, but the behavior of plate displacement is monitored per unit time, and is displayed in delineation model, the behavior of plate displacement is analyzed, and geological structure mutation information is generated, which greatly improves the accuracy of geological structure delineation.

The invention relates to the field of geological exploration, and discloses an underwater volcanic facies geological model construction method and a lithofacies depicting method and device.According to the method, whether an underwater volcanic exists in an area to be explored or not is determined; under the condition that the underwater volcano exists in the to-be-explored area, determining an eruption mode of the underwater volcano according to the drilling core data of the to-be-explored area; and establishing a lithofacies geologic model of the underwater volcano according to the eruption mode. Therefore, the lithofacies geologic model established for eruption, carrying and in-place processes of the underwater volcanic can be obtained, the distribution range of each lithofacies of the underwater volcanic can be depicted, and exploration and deployment of underwater volcanic rock oil and gas reservoirs can be guided.

The present application relates to the field of oil and gas exploration seismic data processing, and discloses a two-dimensional migration seismic profile generation method, device, equipment and medium, which can select a target underground area including a volcanic channel according to the volcanic channel, perform numerical simulation based on the two-dimensional vertical profile of the target underground area, generate a volcanic deformation matrix, and then generate a two-dimensional migration seismic profile corresponding to the two-dimensional vertical profile based on the volcanic deformation matrix. The present application can effectively realize numerical simulation of a two-dimensional migration seismic profile containing a volcanic channel, and can improve the accuracy of the generated two-dimensional migration seismic profile containing a volcanic channel.