An Earthquake Detection Method for Formation Anomaly Based on Window Fourier Transform

A technology of Fourier transform and detection method, which is applied in the field of seismic detection of stratum anomalies, can solve problems such as erroneous conclusions, and achieve the effects of small amount of data, high precision, and intuitive detection results.

Active Publication Date: 2019-02-12
陕西省煤田地质集团有限公司 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the above seismic attributes are directly applied to detect formation anomalies, wrong conclusions may be drawn

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An Earthquake Detection Method for Formation Anomaly Based on Window Fourier Transform
  • An Earthquake Detection Method for Formation Anomaly Based on Window Fourier Transform
  • An Earthquake Detection Method for Formation Anomaly Based on Window Fourier Transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0042] A method for seismic detection of stratum anomalies based on window Fourier transform comprises the following steps:

[0043] Step 1) Identify and track the reflected wave event corresponding to the target layer on the seismic section in the study area;

[0044] (1) Use such as figure 1The density log curve and compressional wave velocity log curve are shown, and the reflection coefficient log curve is calculated.

[0045] (2) Select as figure 1 For the sei...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a windowed Fourier transform-based stratum anomaly seismic detection method. The method comprises the following steps that: reflection wave lineups corresponding to a target layer are identified and tracked in a seismic section in a research area; the parameters of seismic trace signal Fourier transform of the research area are determined; a seismic trace corresponding to a normal stratum is selected as a standard trace, the ground vibration signals of the standard trace are denoted as f (t), and the frequency domain response F (omega) of the ground vibration signals is calculated; bell-shaped windows of which the center frequencies are omega1 and omega2 respectively are selected, and the frequency-domain response ratio Axi of the omega1 and omega2 is calculated; the frequency-domain response F'(omega) of the time-domain ground vibration signals f'(t) of non-standard seismic traces is calculated sequentially; bell-shaped windows of which the center frequencies are omega1 and omega2 respectively are selected, and the frequency-domain response ratio Bxi' of the omega1 and omega2 is calculated; and the percentage eta of the difference of the xi' and xi in the xi is calculated, wherein eta indicates the strength of the anomaly of a target stratum. The method has the advantages of scientificity, simplicity and quantitative and intuitive results.

Description

technical field [0001] The invention relates to a seismic detection method for stratum anomalies, in particular to a stratum anomaly seismic detection method based on window Fourier transform. Background technique [0002] In many coal mining enterprises in my country, due to the influence of factors such as sedimentary environment and tectonic movement, the lithology of the main coal mining seam and roof strata has stratum anomalies such as scoured areas. Due to the obvious difference in lithology between abnormal formations such as scoured areas and normal formations, the elastic modulus of abnormal formations is significantly different from that of normal formations. During coal seam mining, the difference in elastic modulus may lead to the disturbance of the underground stress field, forming a stress concentration area and endangering the safety of coal mining. Therefore, for the coal seam and its roof strata, whether its lithology is stable is related to the safety of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01V11/00G01V1/30
CPCG01V1/301G01V11/00G01V2210/61
Inventor 陈同俊马丽冯西会高阳
Owner 陕西省煤田地质集团有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products