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A Quantitative Analysis Method for Multilayer Near-Surface Seismic Geological Complexity

A quantitative analysis and complexity technology, applied in the field of geophysical exploration, can solve problems such as inability to apply quantitative analysis of surface complexity and difficulty in finding

Active Publication Date: 2018-11-30
INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Due to the strong randomness of the irregular undulating surface and internal heterogeneity, it is currently difficult to find an effective quantitative characterization method for near-surface complexity. The relationship among types, wavelengths, and incident angles; Chou defines terrain complexity based on the characteristics of undulating surface data; Chinese patent CN200810105063 discloses a quantitative analysis method for seismic detection complexity in underground heterogeneous media, which is based on complex media geology Interaction of heterogeneous spectrum (heterogeneous spectrum of velocity lateral variation and formation dip angle variation) and angular spectrum of seismic propagation operator; Fu proposed a complex medium complexity concept and its calculation method, and applied it to the Kuqa Depression Quantitative analysis of the complexity of high-steep structures and description of complex seabed landforms. However, this quantitative analysis method cannot be applied to the quantitative analysis of surface complexity
[0011] In the prior art, the quantitative analysis method for the surface complexity has not been established. Therefore, it is necessary to develop a quantitative method for the multi-layer near-surface seismic geological complexity, and based on this, the appropriate seismic imaging method, seismic wave data processing methods, and data acquisition methods in areas with complex surface undulations, etc., so as to guide geological exploration

Method used

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  • A Quantitative Analysis Method for Multilayer Near-Surface Seismic Geological Complexity

Examples

Experimental program
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Effect test

experiment example 1

[0190] Experimental example 1. Mountain topography models with different heights

[0191] In this experimental example, four models with peak heights of 160m, 240m, 320m and 400m are set, which are respectively recorded as model (a), model (b), model (c) and model (d), as Figure 3 ~ Figure 6 As shown, the horizontal spans of the four models are all 2000m, and the number of boundary elements is 200. Utilize the method provided by the present invention to quantitatively analyze its complexity, and its corresponding Matrix such as Figure 7 ~ Figure 10 As shown, its gray value increases with the increase of mountain height, and its complexity coefficient is as follows Figure 64 As shown in the middle curve 1, it also increases with the increase of mountain height, and the increasing complexity coefficient reflects that the complexity increases with the increase of relative height difference.

experiment example 2

[0192] Experimental Example 2 Mountain topography models with different slopes

[0193] In this experimental example, four models with gradually increasing mountain slopes are set, and the slopes are 25°, 35°, 45° and 65° respectively, which are respectively denoted as model (a), model (b), and model (c ) and model (d), such as Figure 11 to Figure 14 As shown, using the method provided by the invention to quantitatively analyze its complexity, its corresponding Matrix such as Figure 15 ~ Figure 18 As shown, its gray value increases with the increase of the slope of the mountain, and its complexity coefficient is as follows Figure 64 As shown in the middle curve 2, it also increases with the increase of the slope of the mountain.

experiment example 3

[0194] Experimental example 3 Landform models with different horizontal spans

[0195] In this experimental example, four geomorphic models with different horizontal spans are set, respectively 2000m, 1500m, 1000m and 500m, which are respectively recorded as model (a), model (b), model (c) and model (d) ,Such as Figure 19 ~ Figure 22 As shown, using the method provided by the invention to quantitatively analyze its complexity, its corresponding Matrix such as Figure 23 to Figure 26 As shown, its gray value decreases as the horizontal span increases, and its complexity coefficient is as follows Figure 64 As shown in curve 3, by Figure 64 The middle curve 3 shows that the smaller the horizontal span, the stronger the complexity, that is, when the mountain peak remains unchanged and the horizontal part extends infinitely, the influence of the mountain peak will gradually weaken.

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Abstract

The present invention provides a quantitative analysis method of multilayer near-surface seismogeology complexity. The method employs boundary elements to perform accurate representation of geometrical characteristics of a near-surface structure and researches the influences of an undulating surface and an irregular geologic boundary surface on seismic wave propagation, an exterior normal derivative of a basic solution on the boundary is subjected to Gaussian numerical integration to represent the influence of the boundary unit on the wave field at a node, the mutual influence between any two nodes is described, and the influence of the boundary shape features is carved, and the quantitative analysis of the multilayer near-surface seismogeology complexity can be accurately performed.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a seismic data quality analysis technology in seismic exploration acquisition and processing. Background technique [0002] Surface complexity has guiding significance for the selection of seismic imaging methods, the processing of seismic wave data, and the data acquisition of complex surface relief. However, most of the current surface complexity is evaluated qualitatively, and it is difficult to evaluate it quantitatively. [0003] The near-surface complexity in western and southern China is high, and the signal-to-noise ratio of the collected seismic data is extremely low, which seriously affects the quality of seismic imaging. The specific manifestations are: steep mountains, vertical and horizontal gullies, great differences in height, and travel time distortion of the original seismic data collected. Serious static correction problems are caused; the old fo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
CPCG01V1/30
Inventor 符力耘陈高祥管西竹于更新
Owner INST OF GEOLOGY & GEOPHYSICS CHINESE ACAD OF SCI