Layer data exception self-adaption correction method

Abstract

The invention provides a layer data exception self-adaption correction method, and belongs to the field of geophysical prospecting for petroleum. The method comprises steps as follows: (1), original layer data and the highest number of times for polynomial fitting are input; (2), layer data trend lines and the optimal layer data trend line are obtained through self-adaption; (3), new layer data are calculated according to the best layer data trend line and are corrected layer data; (4), the corrected layer data obtained from the step (3) are output. According to the method, if only the original layer data are input, all parameters are given out through self-adaption, manual correction is not required, and a processing result is highly matched with a real layer.

Description

technical field [0001] The invention belongs to the field of petroleum geophysical exploration, and in particular relates to a method for self-adaptive correction of horizon data anomalies. Background technique [0002] Horizontal tracking plays a pivotal role in seismic data interpretation, and its accuracy plays an important role in subsequent seismic data processing and interpretation. Seismic horizon tracking can be simply divided into manual tracking, automatic tracking, and manual semi-automatic tracking. In recent years, commercial geophysical software and some geophysicists have developed seismic horizon tracking methods. The simplest method is to follow the peak of the seismic waveform Or trough tracking, other horizon tracking methods such as "Automatic Horizon Tracking Technology Based on High-Order Statistics" (Peng Wen, Xiong Xiaojun, etc., Xinjiang Petroleum Geology, December 2006), and even appeared in some commercial geophysical software Three-dimensional la...

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Problems solved by technology

Compared with 2D automatic tracking, 3D horizon automatic tracking can reduce the labor intensity of interpreters, but 3D horizon automatic tracking also requires seismic data with better lateral continuity, and the mathematical method is more complicated. In the process, there will be more geophysical multi-solutions, which directly leads to the phenomenon of "serial layers" in the traced horizons.

It is the basic principle of seismic exploration to analyze the underground geological conditions through the collected seismic data. The "crossover" of the phase axis on the seismic data is often an important reason for the automatic tracking of horizons "serial layers". The tracking method of the full three-dimensional central diffusion is Horizontal tracking method based on the diffusion of a seed point, assuming that horizons T1 and T2 intersect at point A, assuming that when the seed point on T1 spreads to point A at the intersecting event, point A is the common point of horizons T1 and T2 Therefore, the probability that point A spreads to T1 and T2 horizons is equal. During the research, it is found that most of the "serial layers" come from the crossing of the events, and the serial layers are extremely unfavorable for horizon interpretation. The "serial layer" of the layer found by the personnel will be changed manually, but this is also a heavy work process

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