Self-adaption interpolating method for real ground-surface ray tracking

Abstract

The invention provides a self-adaption interpolating method for real ground-surface ray tracking. The self-adaption interpolating method includes steps of (a), dividing a space required for travel-time ray tracking into spatial lattice bodies formed by a plurality of spatial lattices; (b) performing ray tracking computation from a real ground surface, and acquiring a plurality of travel-time rays in transmission of earthquake waves; (c) determining the number of travel-time rays penetrating through each spatial lattice; (d) selecting three travel-time rays penetrating through one or more spatial lattices adjacent to the spatial lattices with travel-time rays fewer than the preset number, and constructing a three-dimensional ray pentahedron on the basis of step length of the travel-time rays; (e) performing self-adaption interpolation via travel time of each control point at the six peaks arranged on the ray pentahedron, and accordingly, acquiring a travel-time ray penetrating through the spatial lattices; and (f), repeatedly executing the steps (d) and (e) until the number of the travel-time rays penetrating through the spatial lattices reaches the preset number.

Description

technical field [0001] The invention relates to the field of oil and gas seismic exploration, more specifically, relates to a true surface ray tracing self-adaptive interpolation method in complex mountainous seismic data processing. Background technique [0002] Research on migration imaging methods in complex areas is a frontier research topic that has existed for a long time in petroleum geophysical exploration and has not yet been fully resolved. Among them, the calculation accuracy of ray tracing directly affects the final imaging quality. Therefore, in the heterogeneous medium, the density of rays in different areas of the underground will inevitably be different, and the greater the difference in the medium, the greater the difference in the density of rays. For the area where the rays are sparse, the rays can only be encrypted by means of interpolation, so as to finally realize the offset imaging. Therefore, the precision of interpolation algorithm directly affects ...

AI Technical Summary

Problems solved by technology

[0006] The accuracy and efficiency of 3D seismic ray traveltime calculation have always been difficult to effectively solve in 3D seismic migration imaging

[0007] Although the two-dimensional interpolation method and the three-dimensional linear interpolation method have their own advantages, they are not suitable for complex structure imaging, and the existing calculation methods have single functions, and the practical operation in complex areas is of little significance

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