3 results about "Geomorphology" patented technology

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 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.