25 results about "Geomorphological mapping" patented technology

The invention relates to an earth surface deformation detection and classification method and system fusing CNN and SBAS-InSAR technologies, and the method comprises the steps: obtaining high-precision deformation data through a small baseline subset and an interference synthesis radar technology (SBAS-InSAR), constructing a CNN classification frame through combining PCA-enhanced optical satellite images, elevation, soil physical parameters, geological landform maps and other multi-source geographic information, and carrying out the detection and classification of the earth surface deformation through the CNN classification frame and the SBAS-InSAR technology. And identification of deformation types such as landslide, settlement and lifting is realized. The process comprises multi-source satellite data acquisition and preprocessing (including InSAR sight velocity decomposition and optical / topographic feature extraction), generation of a preliminary deformation label based on a classification algorithm of a gradient and a deformation velocity threshold, and recognition of a deformation type through a multilayer CNN model. According to the method, the deformation mode is automatically clustered and analyzed in a large-range area, the accuracy and detail performance of deformation type recognition are remarkably improved, the accuracy rate reaches 93%, the method is superior to a traditional method, a stable and extensible tool platform is provided for geological disaster monitoring, and positive risk management of landslide or land subsidence prone areas is assisted.

The invention discloses a paleo-gradient constraint reservoir characterization attribute for deep fan delta sedimentary facies characterization. The paleo-gradient constraint reservoir characterization attribute comprises the following steps: 1) carrying out multiple seismic attributes of a target stratum and carrying out normalization processing; 2) seismic attribute optimization is carried out by using the correlation with the sandstone thickness; 3) fitting a multiple linear regression relationship between the sandstone thickness and the optimized seismic attributes; 4) drawing a whole-area sandstone thickness prediction contour map; 5) solving an ancient slope on the ancient landform map; 6) drawing a whole-region ancient slope contour map; 7) acquiring a relation inflection point between the sandstone thickness and the paleo-slope in the research area; 8) predicting sandstone thickness and paleo-gradient by using seismic attributes to establish paleo-gradient constrained reservoir characterization attributes; and 9) calculating all-region paleo-gradient constraint reservoir representation attributes, and drawing a contour map as a basis for depicting the deep fan delta sedimentary facies. The method solves the problem that seismic attribute representation sedimentary facies lacks environmental information and the problem of multiplicity of solutions of deep fan delta seismic reflection representation sedimentary facies.

The invention discloses a karst ancient landform recovery method and system based on the real thickness of a stratum, and belongs to the technical field of rock stratum ancient landform recovery. The real stratum thickness of the first algorithm is calculated through drilling data when the upper interface and the lower interface of the stratum are inclined and not parallel; the real stratum thickness of a second algorithm is obtained through calculation according to the seismic data; counting the thickness difference between the real stratum thickness of the first algorithm and the real stratum thickness of the second algorithm in the research area at the well point, and performing difference gridding interpolation by adopting a cubic spline interpolation method; and merging the difference gridding interpolation data and the stratum real thickness gridding data of the second algorithm to obtain an ancient landform map. According to the method, the drilling data, the seismic data and other data are combined, ancient landform recovery errors caused by the difference between the stratum apparent thickness and the real thickness due to stratum inclination are eliminated by recovering the real thickness of the stratum, and the ancient landform recovery precision and the exploration and development success rate can be effectively improved.

The invention relates to the technical field of ecological environment monitoring. The invention relates to an ecological environment monitoring method for high-precision remote sensing image analysis. The method comprises the following steps: S1, acquiring optical image data and thermal infrared image data, extracting a landform image according to the optical image data, and extracting an animal image according to the thermal infrared image data; s2, performing landform area division on the landform image according to animal survival conditions, and then performing difference analysis on a historical landform image corresponding to each landform area; according to the method, a quantitative ecological scoring system is formed by comparing the real-time animal number with the variety data and the threshold value, full scores are automatically given when the inhabitation range is expanded and the population number is increased, otherwise, the scores are deducted according to the vacancy proportion, a closed loop from data acquisition to state evaluation is realized, and the evaluation accuracy is improved. According to the evaluation system, the identification time efficiency of the ecological abnormity can be shortened to a real-time level, and a scientific early warning basis is provided for ecological protection.

The invention relates to the field of image processing, in particular to a flotation bubble size measurement method fusing a control mark watershed and U-Net, which comprises the following steps of: performing preliminary segmentation on a bubble image by adopting a U-Net convolutional neural network to obtain a bubble segmentation initial image, and extracting a connected region of each flotation bubble; according to the preliminary segmentation result, obtaining a reconstructed landform map, and extracting a local area minimum value from the reconstructed landform map as a first type of control mark; de-noising the froth image, and adopting an OTSU automatic threshold segmentation method based on a connected region mask to obtain a highlight region of the flotation froth as a second type of control mark; analyzing a connected region of the bubbles, and fusing the first type of control marks and the second type of control marks to obtain a fused control mark; and a control mark watershed algorithm is adopted for segmentation, and the final flotation bubble boundary is obtained. By fusing mutually complementary control marking mechanisms, the accuracy of control marking is ensured, and the accuracy of flotation bubble size measurement is improved.

The invention discloses an ancient landform recovery method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing an ancient landform model according to structural feature data and geological data of a target area; controlling the ancient landform model to perform tectonic deformation of at least one deformation stage, and controlling a spraying system of the ancient landform model to perform atmospheric precipitation simulation; and determining an ancient landform map of the target area in at least one deformation stage according to an elevation change scanning result of the ancient landform model during tectonic deformation. By means of the technical scheme, scientific and reasonable recovery of the ancient landform distribution condition is achieved by simulating natural atmospheric precipitation and formation and evolution of rivers and lakes.

The invention relates to the technical field of ecological monitoring, and provides a visual ecological intelligent monitoring system and method based on three-dimensional simulation, and the system comprises a data optimization module which is used for calculating an angle abnormal factor between data in an ecological data flow, carrying out the quality optimization of the ecological data flow, and obtaining a target data flow; the image partitioning module is used for performing image partitioning processing on the multi-temporal remote sensing image to obtain a multi-temporal water area map and a multi-temporal landform map; the landform analysis module is used for carrying out semantic segmentation on the landform structure to obtain landform types and calculating the landform transition amplitude between the landform types; the water area analysis module is used for calculating the element deviation amount corresponding to each element in the water area elements and analyzing the water area evolution trend of the ecological area; and the ecological monitoring module is used for constructing a three-dimensional simulation area corresponding to the ecological area and dynamically monitoring the three-dimensional simulation area to obtain an area ecological monitoring result. The invention aims to improve the accuracy of ecological monitoring.

The invention provides a data processing method and system for a source area and a deposition area. The processing method comprises the following steps: interpreting a bottom surface to an intersection of a top surface and a substrate along a substrate surface so as to ensure that the top surface and the substrate intersect; time-depth conversion is conducted on the top face and the bottom face of the overlying stratum in the sedimentary area; respectively interpolating and densifying the top surface and the bottom surface after the time-depth conversion of the overlying strata in the sedimentary area; calculating a negative value of the stratum thickness of the sedimentary area according to the interpolation encrypted data; horizontal seismic interpretation is carried out, and a substrate of a source area is explained; time-depth conversion is carried out on the substrate and the horizontal interpretation layer of the object source area; respectively interpolating and encrypting the substrate after the time-depth conversion and the horizontal interpretation layer after the time-depth conversion in the object source area; calculating the stratum thickness of the source area above the horizontal plane in the stratum deposition period according to the interpolated encrypted data of the source area; and calculating elevation data. Therefore, the integrated ancient landform map can be more coordinated and accurate than the later splicing of the ancient landform map of a single sedimentary area or source area.

The invention discloses a carbonate rock karst micro-landform recovery method and system, and the method comprises the steps: obtaining the uppermost and lowermost isochronous interfaces of a karst interface of a research region according to the seismic data and drilling data of the research region, and determining a longitudinal research range; a karst seismic interface and the development position of a main interface of an overlying stratum are obtained through a well seismic calibration technology; carrying out seismic reflection structure analysis on the basis of a karst seismic interface and a development position of a main interface of an overlying stratum to obtain a karst micro-landform description feasibility boundary; seismic waveform indication simulation is adopted to obtain the sand shale percentage content and the sand shale porosity of a drilled well, time-depth conversion and sandstone sea receding cycle top maximum porosity value tracking are carried out, and a karst micro-landform depiction calculation reference surface is obtained; and a reference surface is depicted and calculated based on the karst micro-landform, the thickness of the overlying stratum sand shale in the deposition period of the karst interface is obtained, karst micro-landform units are divided through gridding compilation and feature labeling, and a karst micro-landform map is obtained.

The present application relates to a kind of topography map construction method for facilitating autonomous mobile robot efficient navigation, including topography segmentation network: using depth separable convolution and pyramid pooling module to build high-precision lightweight semantic segmentation network;Detailed division of passable topography: according to the physical geometric property of different topography, more detailed division and annotation are carried out to passable topography, and topography dataset is constructed for the training of model;The construction of topography map: according to the geometric conversion relationship between the original image obtained by sensor and grid map, the mapping relationship between topography image and occupancy grid map is constructed, and topography grid map is created.The present application uses semantic segmentation network to divide the topography in the working environment of mobile robot more carefully, and through pixel scanning, coordinate conversion and grid mapping, topography grid map containing rich information is created, to improve the navigation efficiency of mobile robot.

1. Name of the product in this design: Graphical User Interface for Topographic Profile Analysis of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. Images or photos that best illustrate the design points: Interface change state diagram 5. 5. Purpose of the graphical user interface: The graphical user interface of this product is used by users to select a profile area within the target area, perform profile analysis on the geomorphological features of the target area, and obtain geospatial data. 6. Human-computer interaction method of graphical user interface: The main view is the main interface for users to enter the geomorphological feature profile analysis; clicking the button to the right of "Select Analysis Location" in the upper left corner of the main view will jump to the interface change state diagram 1; clicking a location in the geomorphological map of interface change state diagram 1 will jump to the interface change state diagram 2; dragging the cursor in the geomorphological map of interface change state diagram 2 will jump to the interface change state diagram 3; double-clicking a location in the geomorphological map of interface change state diagram 3 will jump to the interface change state diagram 4; hovering the cursor over a location in the data analysis chart at the bottom of interface change state diagram 4 will jump to the interface change state diagram 5. 7. Other situations requiring explanation: The gray-covered areas in the interface are content screens and are not within the scope of protection of this design; the usage status of the main view can be referred to the main view reference diagram, and the usage status of interface change state diagrams 1 to 5 can be referred to the interface change state reference diagrams 1 to 5 in sequence.

The present application relates to the technical field of disaster detection, in particular to a geological disaster detection method and system based on image processing, comprising the following steps: collecting multi-temporal topographic images and dividing them into blocks, constructing a main boundary angle difference value array, calculating the included angle change to screen image blocks and combining fault regions, extracting crack contours to calculate the opening angle and construct the offset sequence, generating an enhanced feature map based on gradient projection texture field interpolation, constructing a residual data field to divide grid points, and determining abnormal regions. In the present application, the main boundary angle difference value array of the blocks is constructed and affine aggregation is performed in combination with the consistency of the edge gray gradient, so that the precise reconstruction and continuity recovery of the cross-scale nonlinear fault structure in the topographic image are realized, the gradient derivative quantity is generated by using the crack endpoint opening angle offset sequence and the texture vector field is expanded, which can sensitively capture the weak morphological changes of the local topography in the time evolution process, and solve the problem that the small disaster precursor features are difficult to identify in a complex background.

The invention discloses a carbonate rock sedimentary ancient landform restoration method and device, and relates to the technical field of ancient landform restoration. The method comprises the following steps: judging a contact relation between a target layer of a research area and upper and lower stratums according to an ancient geological map, dividing a sedimentary cycle according to a change rule of longitudinal trace elements of a coring well and rhythm change characteristics of a GR logging curve, taking a maximum value of the GR logging curve as an in-layer high-frequency reference surface, establishing a high-resolution stratigraphic framework, and establishing a high-resolution stratigraphic framework; calculating the stratum thickness in each sequence and the difference of the thickness of each sequence on the plane, determining the water depth and the limitation degree of the environment through the geochemical index reflecting the water depth and the geochemical index reflecting the salinity, and calculating the ratio of the thickness of the beach core to the thickness of the beach wing in the isochronous stratum through well data; and compiling an ancient landform map by combining the ancient landform difference indicated by the sequence thickness, the geochemical parameters and the nuclear wing ratio. According to the method, the reservoir ancient landform of the carbonate rock is recovered by comprehensively utilizing geochemical characteristics, and the accuracy of the ancient landform is improved.

The application provides a kind of source area and sedimentary area data processing method and system, the processing method includes: the bottom surface is explained to the intersection of top surface and basement along the base surface to ensure the intersection of both;Respectively, the top surface and bottom surface of the overlying strata in the sedimentary area are converted into time-depth;The top surface and bottom surface of the overlying strata in the sedimentary area after time-depth conversion are respectively interpolated and encrypted;The negative value of the stratum thickness of the sedimentary area is calculated according to the interpolation and encryption data;Horizontal seismic interpretation is made, and the basement of the source area is interpreted;The basement of the source area and the horizontal interpretation layer are respectively converted into time-depth;The basement after time-depth conversion of the source area and the horizontal interpretation layer after time-depth conversion are respectively interpolated and encrypted;The stratum thickness of the source area above the horizontal plane during the stratum deposition period is calculated according to the interpolation and encryption data of the source area;Elevation data is calculated. It can make the integrated paleogeomorphology map more coordinated and accurate than the late splicing of the paleogeomorphology map of a single sedimentary area or source area.

The invention provides an ancient landform map generation method and device and a medium, and relates to the technical field of earth science research, and the method comprises the steps: obtaining an ancient landform surface; performing gridding processing on the ancient landform surface to obtain a grid curved surface diagram; according to the grid curved surface diagram, determining the grade number of the ancient landform surface; and generating an ancient landform map corresponding to each grading grade according to the grid curved surface map and a preset step length corresponding to each grading grade. Therefore, quantitative division of different grading levels can be carried out on the grid curved surface map to obtain the ancient landform map corresponding to each grading level, grading division of the ancient landform map is realized, the accuracy of grading division of the ancient landform map is improved, the objectivity of quantitative description of the ancient landform map is improved, and the accuracy of quantitative description of the ancient landform map is improved. And an objective basis is provided for quantitative research of ancient landforms, ancient geography, karst and the like.

The present invention relates to a method for restoring the micro-paleomorphological evolution process of a wellless deltaic sedimentary area, comprising: constructing a plane range that completely covers the delta for a target area where deltaic deposits are present in a three-dimensional seismic data volume; calculating the thickness of the layer segment in which the delta is located based on the top and bottom surfaces of the layer segment, and using this thickness as the initial paleogeomorphology of the layer segment; setting a series of seismic events in the layer segment with an "S"-shaped progradational reflection characteristic and wedge-shaped events as a progradational composite lobe; calculating the thickness of each progradational composite lobe; based on the initial paleogeomorphology, sequentially superimposing the thickness of the progradational composite lobe from bottom to top, and using the map with each thickness superimposition as the paleogeomorphology before the deposition of the next progradational composite lobe; and sequentially arranging the series of paleogeomorphological maps superimposed with the thickness of the progradational composite lobe from bottom to top to complete the restoration of the micro-paleomorphological evolution process of the target area. The present invention can be widely applied in the field of oil and gas exploration technology.

The invention discloses a submarine landform image processing method, and relates to the technical field of computer processing, and the method comprises the following steps: S01, obtaining sonar point cloud data and an optical original image during the cooperative detection of a multi-beam sonar and an optical device; wherein the sonar point cloud data is composed of a space coordinate component, a reflection intensity component and a beam incident angle component; s02, performing dynamic grid division on the sonar point cloud data to generate an initial grid model matched with the optical image resolution; and S03, embedding a water body attenuation compensation factor in the initial grid model, and correcting scattering noise of laser scanning and optical images in the turbid water area to obtain a corrected initial grid model. According to the method, cross-resolution high-fidelity fusion of sonar-laser-optical multi-source data is realized, the problems of scattering noise interference and micro-landform feature loss in turbid water areas are synchronously solved, and a seabed landform image with geometric accuracy and clear texture is output.

The present application belongs to the field of palaeogeomorphology restoration, and particularly relates to a method and system for palaeogeomorphology restoration in a sedimentary period based on siliceous rock thickness, which specifically comprises the following steps: establishing a crossplot of a plurality of standardized logging curves and a siliceous rock content curve; screening a siliceous rock sensitive curve sensitive to siliceous content according to the crossplot; carrying out a curve fitting reconstruction identification experiment according to the siliceous rock sensitive curve to obtain a reconstructed curve; selecting an inversion method with the highest coincidence degree with the actual siliceous rock to perform inversion to obtain siliceous rock inversion data; converting time thickness into depth by using time-depth conversion to obtain a siliceous rock thickness planar distribution map; and optimizing the siliceous rock thickness planar distribution map to obtain a final three-dimensional palaeogeomorphology map. The method can successfully solve the problem of the tracking accuracy of conventional methods depending on specific stratigraphic combinations and seismic horizons, and breaks the limitation that if there is no continuous reflection interface above and below the target layer, the palaeogeomorphology of the target layer cannot be accurately restored.

This invention discloses a method for creating a micro-paleomorphic map of stratigraphy using a combination of well and seismic data, comprising the following steps: S11 Obtaining stratigraphic marker layers for correlation using drilling data within the area; S12 Comprehensive drilling calibration, conducting isochronous surface tracing and interpretation of seismic sequences, and establishing an isochronous stratigraphic framework using a combination of well and seismic data; S13 Reconstructing the pre-depositional paleomorphic features of the target layer using layer flattening technology; S14 Selecting a layer segment, calculating the stratigraphic thickness using the top and bottom data of the target layer, and obtaining the true seismic stratigraphic thickness after drilling correction; S15 Compacting and correcting the true seismic stratigraphic thickness to obtain the original sedimentary thickness of the stratigraphy; S16 Applying the original sedimentary thickness of the stratigraphy to generate a micro-paleomorphic map using Surfer mapping software. This invention is applicable to the field of petroleum exploration technology, is highly operable, and makes full use of well and seismic data for three-dimensional exploration areas with fewer wells. The micro-paleomorphic features reconstructed by this method can finely depict the paleotopographic features of the beach bar sandstone deposition period and analyze the planar distribution pattern of the beach bar sandstone.

The invention discloses a rotary laser radar surveying and mapping device for landform surveying and mapping, and belongs to the technical field of surveying and mapping equipment, the rotary laser radar surveying and mapping device comprises a base, a turntable, a laser radar and a laser radar mounting piece, the turntable is rotatably arranged on the base, the laser radar mounting piece is arranged on the turntable, and the laser radar is arranged in the laser radar mounting piece; the laser radar installation part comprises a plurality of arc-shaped plates, arcs of the arc-shaped plates or the arcs of the arc-shaped plates extend to form a circle, a plurality of grooves are formed in the upper surface of the rotating disc and are evenly distributed in a radial shape along the center of the rotating disc, a lead screw is arranged in each groove, a connecting block is in threaded connection with each lead screw, and the arc-shaped plates are arranged on the connecting blocks. A vertical hole is formed in the center of the rotating disc, a rotating shaft is arranged in the vertical hole, a second bevel gear is arranged at the upper end of the rotating shaft, and the first bevel gears are meshed with the second bevel gear. The device can adapt to convenient installation of laser radars of different shapes and types, and is high in flexibility.

The invention discloses a classification method for a stratigraphic structure driving mechanism of a fracture-subsidence sequence, and the method comprises the steps: determining well-seismic matching parameters, and carrying out the seismic horizon calibration of a target work area; identifying a second-level sequence interface and a third-level sequence interface by using a typical earthquake termination relationship; drawing a stratum thickness map of each sequence; drawing a fault displacement change curve of the fault in each sequence; recovering the ancient landform of the target work area in the deposition period by using an impression method to obtain an ancient landform map; determining the construction activity intensity of each sequence of the target work area; obtaining an absolute sea level ratio change curve and a global climate change curve; recovering a relative sea level lifting curve and a relative sea level changing curve; and according to the tectonic activity intensity, the absolute sea level ratio change curve, the global climate change curve and the relative sea level change curve of the target work area, evaluating and dividing the stratigraphic structure driving mechanism of the fracture subsidence sequence. The method not only enriches research methods of deep sea sedimentology and sequence stratigraphy, but also has positive significance for sand body development prediction of land frame edges.

The invention belongs to the technical field of seismic exploration, and discloses a method for quickly depicting a stratum ancient micro-landform map, which comprises the following steps of: 1, picking up time or depth of a target stratum to obtain total data of horizon elevation; and 2, performing low-pass filtering on the total data of the horizon elevation at the cut-off frequency to obtain low-pass filtering data. And a third step of performing median filtering on the total data of the horizon elevation, adjusting the size of a filtering window until the similarity between the obtained median filtering data and the low-pass filtering data reaches more than 90%, and taking the data as low-frequency data. And 4, solving a difference value between the total data of the horizon elevation and the low-frequency data to obtain medium-high frequency data. And 5, calculating curvature data of the total data of the horizon elevation. And 6, carrying out RGB pixel fusion on the low-frequency data, the medium-high-frequency data and the curvature data of the horizon elevation to form a map, and obtaining a stratum ancient micro-landform map. According to the method, the breakpoint fault features in the stratum ancient landform are reserved, and the ancient micro landform can be clearly presented.

The invention relates to the technical field of image processing, in particular to a flotation bubble size extraction method based on landform map optimization control mark watershed, which comprises the following steps: converting an input bubble image into a grey-scale map, and preprocessing the grey-scale map; adopting an OSTU adaptive threshold method to extract a highlight area in the processed foam image as a watershed control mark; carrying out gray scale overturning on the preprocessed froth image to generate an initial landform map, extracting a transparent window region in the froth image by adopting a U-Net model, and minimizing partial numerical values of the corresponding transparent window region in the initial landform map to obtain an optimized flotation froth landform map; and segmenting the image by adopting a control mark watershed algorithm. According to the method, the initial landform map is optimized according to the transparent window region, a pseudo boundary caused by the fact that the gray scale of the transparent window region is similar to the gray scale of the boundary during segmentation is avoided, and the problem of bubble wrong segmentation caused by the transparent window region is effectively solved.

The invention discloses a sedimentary microfacies determination method, device and equipment, a medium and a product. According to the specific scheme, a target layer group range of a target drilled well is determined, and a target layer section is determined according to the target layer group range; analyzing and processing the profile map of the target layer section according to the three-dimensional seismic data, determining seismic response characteristics of the target layer section, and determining seismic horizon data of the target layer section according to the seismic response characteristics; according to the seismic horizon data, the ancient landform of the target layer section is subjected to restoration processing, and an ancient landform image of the target layer section in the deposition period is obtained; based on the heavy mineral analysis parameter, the stratigraphic dip angle parameter and the ancient landform image of at least one drilled well of the target area to which the target drilled well belongs in the target interval, determining an ancient channel plane distribution diagram of the target interval; and determining a fine sedimentary microfacies diagram of the target layer section according to the seismic horizon data and the paleochannel plane distribution diagram. According to the method, the accuracy of determining the sedimentary microfacies is improved, and the cost is saved for subsequent exploration and development.

The invention relates to a carbonate rock thin reservoir distribution diagram determination method and device, a medium and a product. The carbonate rock thin reservoir distribution diagram determination method comprises the following steps: acquiring horizon information and waveform characteristic data of a to-be-detected target stratum; according to the horizon information, drawing a top-bottom interface contour map of the to-be-detected target layer; drawing a seismic facies distribution diagram of the target layer to be detected according to the waveform characteristic data; based on the seismic facies distribution diagram, determining a sedimentary microfacies diagram of the to-be-detected target layer; based on the top-bottom interface contour map, determining a sedimentary period ancient landform map of the to-be-detected target layer; performing data verification on the sedimentary microfacies map based on the sedimentary period ancient landform map to obtain a verification result of the sedimentary microfacies map; under the condition that the verification result is valid, obtaining a dolomite reservoir favorable area distribution diagram of the to-be-detected target layer; and according to the dolomite reservoir favorable area distribution diagram and the sedimentary microfacies diagram, determining a carbonate rock thin reservoir distribution diagram of the target stratum to be detected.