A Lithology Interpolation Method Based on Expansion Algorithm

Abstract

The invention provides an expansion algorithm-based lithology interpolation method. The lithologic interpolation method comprises the following steps of performing gridding on a work area, and ensuring each shot point to be in a grid range; filling grids, in which shot points are located, with lithology of the shot points; performing expansion on each shot point, and filling the grid, adjacent to a reference point and not filled with the lithology, with the same lithology as the shot point, wherein each round of expansion of each shot point takes the grid filled with the lithology in a previous round of expansion as the reference point, and a reference point of a first round of expansion is the shot point; and after each round of expansion is finished, judging whether the grids of the work area are all filled with the lithology or not, and if the grid not filled with the lithology exists, continuing to perform a next round of expansion until the grids of the whole work area are all filled with the lithology. According to the method, the transverse interpolation of the lithology is carried out by utilizing the expansion method, so that the difficult problem of production in lithology interpolation is solved and a new idea is provided for other similar interpolation of non-numerical significance.

Description

technical field [0001] The invention relates to the field of seismic exploration data acquisition, more specifically, to a lithology interpolation method based on an expansion algorithm. Background technique [0002] Interpolation is an important method of discrete function approximation, which can be used to estimate the approximate value of the function at other points through the value of the function at a limited number of points. Traditional interpolation methods such as kriging interpolation and spline interpolation are mainly suitable for interpolation of digital points. [0003] In the near-surface structure of seismic exploration, lithology changes vertically and horizontally. Each excitation well has different lithology at different depths. On the plane slice map, each well is some discrete points. Characteristic symbols (e.g., colors) indicate large interwell gaps, and there is currently no effective solution for interpolating lithologies that do not have specifi...

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Problems solved by technology

[0003] In the near-surface structure of seismic exploration, lithology changes vertically and horizontally. Each excitation well has different lithology at different depths. On the plane slice map, each well is some discrete points. Characteristic symbols (e.g., colors) indicate large interwell gaps, and there is currently no effective solution for interpolating lithologies that have no numerical meaning

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