A Vector Mean Filtering Method for Multicomponent Seismic Data

Abstract

The invention discloses a multi-component earthquake data vector mean value filtering method, comprising steps of processing the multi-component earthquake data before superstition, using multi-component data on each sampling point to constitute a vector, determining the length N of a filtering window on a horizontal direction and the length on the time direction, searching the local optimal track of the current filtering point on a same-phase axis through the distance between the vectorend curves of the adjacent channel vector data, taking the current filtering point as a center, choosing N vector signal points on the optimal local tracks, performing boundary sequencing on the N vector signals to obtain a boundary mid-value vector, calculating the distance between the vector signal point and the boundary mid-value and the mean value, choosing the vector signal point which is positioned the in the middle portion after sequencing, and performing averaging on the vector signals positioned in the middle to obtain the average value. The invention solves the problem that the prior art is likely to damage the vector relation between the multi-component earthquake components when suppressing the random noise.

Description

technical field [0001] The invention relates to the technical field of seismic data filtering, in particular to a vector mean filtering method for multi-component seismic data. Background technique [0002] In the exploration of fossil energy such as oil, natural gas, coal, and coalbed methane, seismic exploration technology based on explosive sources (artificial sources) is one of the key technologies to obtain underground structure and lithology information and identify the existence of oil and gas and other energy sources. Conventional seismic exploration technology mainly uses the excitation and propagation of longitudinal waves and the reception of single-component seismic signals to achieve the purpose of exploring underground elastic wave field anomalies. With the deepening of oil and gas exploration and development, the oil and gas exploration targets are becoming more and more complex, and the corresponding exploration technology level is also improving. In the past...

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Problems solved by technology

[0005] The main purpose of the present invention is to provide a vector mean filtering method for multi-component seismic data, to solve the problem in the prior art that it is easy to destroy the vector relationship between multi-component seismic data components when suppressing random noise

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