8 results about "Geomorphology" patented technology

The invention discloses a multi-information constraint complex lithology interpretation method and device. The method comprises the following steps: establishing a symbiotic relationship among various lithologies to be explained according to coring data, logging data and logging data in a research area based on the orderliness of vertical superposition and spatial distribution of sedimentary strata; on the basis of the current symbiotic relationship, the logging data is corrected, an intersection chart between the lithology and the sensitive logging curve is drawn, and the intersection chart is used for being combined with the symbiotic relationship to achieve lithology interpretation in the research area. According to the method, multiple information is integrated, multiple to-be-explained symbiotic relationships among lithology are used as constraints, and logging data are reasonably corrected, so that the prediction precision of the rendezvous chart between the lithology and the sensitive logging curve is higher; the method can be used for lithology interpretation of complex lithology, such as sedimentary rock, intrusive rock and intrusive rock overlying and underlying metamorphic rock co-development areas.

The embodiment of the invention provides a complex stratum karst cave volume calculation method and related equipment, and belongs to the technical field of geological survey. The method comprises the following steps: acquiring a geological profile map and a borehole histogram; performing information extraction on the drilling histogram to obtain drilling information of each drilling point location; performing structured processing according to the drilling information of all the drilling points to obtain an original stratum distribution table; performing elevation supplementation on the original formation distribution table according to the geological profile map to obtain a standard formation distribution table; based on the standard stratum distribution table, performing data splitting by taking each stratum as a derivation unit to obtain a plurality of stratum derivation tables; performing three-dimensional model reconstruction according to each stratum derivation table to obtain a stratum interface entity model of each stratum; performing target detection on all the stratum interface entity models according to a preset karst cave label to obtain a target karst cave model; and performing area attribute analysis on the target karst cave model to obtain the target karst cave volume, thereby improving the accuracy of karst cave volume calculation.

The invention discloses an ocean disaster risk photo identification method based on a deep artificial neural network, and belongs to the technical field of photo data intelligent processing. The method comprises the following steps: determining a disaster-bearing body plot through a remote sensing image and performing multi-angle shooting to obtain a ground acquisition photo data set; checking the label conformity through visual interpretation, marking a marker surface feature, and constructing a marine disaster risk photo sample library; constructing a scene classification model based on a Transform architecture and a target detection model based on a self-attention mechanism, and training the models by using a sample library; processing the sample library by adopting momentum contrast learning and a ConvNeXt model, and constructing a marine disaster risk knowledge graph; integrating the trained model and the knowledge graph to form a complete recognition model; and inputting the unclassified plot pattern spots into the model to complete automatic identification. The method is mainly used for automatically identifying the pictures of the high-risk disaster-bearing body of the ocean disaster in the coastal region.

The invention relates to a method, a device and equipment for drawing a section map of drilling cuttings. Comprising the steps that rock debris logging data are obtained, and the rock debris logging data comprise position information and lithology description of all rock stratums; performing word segmentation matching on the lithologic description of each rock stratum to obtain lithologic segmented words and color segmented words of each rock stratum; determining a first legend corresponding to the lithologic segmented word; determining RGB values corresponding to the color segmented words; and drawing a rock debris profile map corresponding to the rock debris logging data according to the position information of each rock stratum, the first legend and the RGB value. According to the method, the rock debris logging data stored according to the business standard are automatically identified in a word segmentation matching mode, and the lithology segmented words and the color segmented words which can be processed by a computer are obtained, so that the lithology segmented words and the color segmented words are directly used for mapping, workers do not need to manually standardize rock debris description, automatic mapping is achieved, and the workload of the workers is relieved.

The present disclosure relates to analytic mapping of metagenomic and hydrocarbon footprints of geologic subzones. A plurality of DNA profiles are generated based on a set of distinct geological specimens from each well of a plurality of wells. BioGeo markers, BioGeo signatures and a BioGeo matrix are generated based on the plurality of DNA profiles.

The embodiment of the present application discloses a river facies reservoir along-river prestack gather data optimization processing method and device, provides prestack gather data; depicts the spatial distribution form of the river channel, and applies it to the prestack gather data to obtain along-river prestack gather data; the along-river prestack gather data is denoised to obtain denoised along-river prestack gather data; the amplitude of the denoised along-river prestack gather data is corrected to obtain corrected gather data; the angle gather data is obtained by changing the angle of the corrected gather data; the angle gather data is preprocessed to obtain the flattening correction gather data. The present application can improve the accuracy and efficiency of the prestack seismic inversion of the river facies reservoir by depicting the spatial distribution form of the river channel, applying it to the prestack gather data to obtain along-river prestack gather data, and further performing denoising, flattening correction and other steps.

The present application relates to a kind of isochronous stratum automatic correlation method, device, medium and equipment, the method includes the following steps: obtaining a well profile, select several wells as standard well, and complete stratum division to the standard well;Optimizing the well logging curve that can effectively respond to stratum marker bed, sedimentary cycle, lithologic combination, and the preferred logging curve is pretreated;With the logging curve of standard well as data basis, in turn, complete the marker bed identification of well profile on the well to be compared, sedimentary cycle identification and lithologic combination identification;According to the linear solution of stratum boundary point except marker bed identification point, sedimentary cycle identification point, lithologic combination identification point is completed according to stratum superimposed pattern;The stratum automatic division result visualization of profile is carried out.The isochronous stratum automatic correlation method is fully and reasonably integrated into rich geological expert knowledge, with stratum superimposed pattern as constraint, based on the principle and step of geological expert stratum correlation, computer algorithm is designed, and stratum automatic correlation is realized.

The invention provides an automatic extraction and quantitative characterization method for sedimentary configuration characteristics of a braid zone. The characterization method comprises the following steps: S1, constructing a spatial data model of modern sedimentary configuration elements of a braid river; s2, braid-shaped river channel water body range extraction based on a deep learning method; s3, extraction and quantitative characterization of geometric figures and spatial relationships of the braided river configuration elements based on a constrained Delaunay triangular network skeleton diagram; and S4, quantitatively representing geometrical characteristic parameters and statistical rules of the modern sedimentary configuration elements of the braided river. According to the method, geometric figures, spatial relationships and various characteristic parameters of the braided river modern sedimentary configuration elements can be automatically extracted from remote sensing image data, a knowledge base of the braided river modern sedimentary configuration elements is established, and graphical and quantitative representation of braided river modern sedimentary configuration characteristics is realized.