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Seismic exploration velocity analysis method and device, computer equipment and storage medium

The invention provides a seismic exploration velocity analysis method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the processing of a depth domain velocity model set based on a two-way wave equation, and obtaining the gather data; processing the gather data based on a stack velocity spectrum making formula to obtain sample set data; extracting a time domain root-mean-square velocity curve from the depth domain velocity model set to obtain label set data; and training a preset deep learning model based on the sample set data and the label set data to obtain a seismic exploration velocity modeling system for seismic exploration velocity analysis. And inputting the calculated label set data and sample set data into a preset deep learning model, training the preset deep learning model, determining parameters in the preset deep learning model, and inputting the stack velocity spectrum data into the seismic exploration velocity modeling system in actual exploration of the seismic exploration velocity modeling system. And a result for automatically explaining the stacking velocity spectrum can be obtained through calculation.
Owner:CHINA PETROLEUM & CHEMICAL CORP +1

Methods, apparatus, equipment, and media for generating hexahedral dominant meshes for simulation of aircraft mechanical structural components.

This application discloses a method, apparatus, device, and medium for generating hexahedral dominant meshes for simulating mechanical structural components of aircraft. It relates to the field of mesh generation technology, including: subdividing a quadrilateral dominant mesh to obtain a triangular mesh; adding the vertices of the surface triangular pieces of the tetrahedral mesh generated from the triangular mesh to a preset queue, and generating target points by traversing the frame of the first vertex in the queue in each direction; querying other position points within the target range, and determining hexahedral edge pairs based on the distance relationship between the target point and other position points; generating a lattice-like tetrahedral mesh based on the triangular mesh and the position field, and determining hexahedral element edges based on the hexahedral edge pairs and the lattice-like tetrahedral mesh; determining right-angled triangular faces based on the selected hexahedral element edges, determining tetrahedral combinations through the right-angled triangular faces, and merging the tetrahedral combinations to generate a hexahedral dominant mesh for simulating mechanical structural components of aircraft. This method rapidly generates high-percentage hexahedral meshes.
Owner:CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT