Novel quality evaluation method of observation system

Abstract

The invention discloses a novel quality evaluation method of an observation system. The method comprises the following steps that simulated blasting is carried out on the observation system, offset and azimuth distribution condition of a single side element of the observation system are obtained; difference between the maximal coverage frequency and the minimal coverage frequency of the observation system is calculated; the proportion of the offset non-uniform coefficient to the offset reference non-uniform coefficient as well as a difference between the maximal MaxOffsetCor and the minimal MaxOffsetCor is calculated; the proportion of the azimuth non-uniform coefficient to the azimuth reference non-uniform coefficient as well as a difference between the maximal MaxAimCor and the minimal MaxAimCor is calculated, and a quality evaluation factor of the observation system is calculated according to different data obtained by calculation, and the observation system is evaluated according to the quality evaluation factor. The observation system is evaluated more comprehensively by integrating attributes including the coverage frequency, macroscopic azimuth and offset distribution, microoffset non-uniformity and microscopic azimuth non-uniformity.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a new quality evaluation method for an observation system. Background technique [0002] When collecting field seismic data for a given task, a 3D observation system with better performance can meet the requirements for signal imaging quality, better suppress various random disturbances in the field, and reduce the economic cost of data collection. That is to say, the quality of the 3D observation system determines the quality of the collected seismic data. Therefore, how to choose a scientific and effective 3D observation system is one of the key technologies to improve the quality of the collected seismic data. [0003] At present, there are many attribute parameters that can be used to evaluate the pros and cons of an observation system, such as coverage times, offset non-uniformity, azimuth non-uniformity, acquisition footprint, etc. However, these attribute p...

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Problems solved by technology

[0003] At present, there are many attribute parameters that can be used to evaluate the pros and cons of an observation system, such as coverage times, offset non-uniformity, azimuth non-uniformity, acquisition footprint, etc. However, these attribute parameters can only reflect a certain The advantages and disadvantages of the observation system cannot make a comprehensive evaluation of the observation system

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