Stable seismic quality factor Q estimation method based on variational mode decomposition

A variational modal decomposition and quality factor technology, which is applied in the field of geophysical processing of oil and gas exploration, can solve the problems of low estimation accuracy of quality factor Q, low stability, and no consideration of different attenuation of seismic signals. The effect of long propagation time, high time-frequency resolution and energy concentration, improving estimation accuracy and stability

Active Publication Date: 2019-08-30
CHENGDU UNIV OF INFORMATION TECH
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods do not consider the different attenuation of seismic signals in different frequency bands, and do not avoid the mu

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
  • Stable seismic quality factor Q estimation method based on variational mode decomposition
  • Stable seismic quality factor Q estimation method based on variational mode decomposition
  • Stable seismic quality factor Q estimation method based on variational mode decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] refer to figure 1 , a stable seismic quality factor Q estimation method based on variational mode decomposition, the steps are as follows,

[0066] (1) Comprehensively utilize logging, synthetic seismic records and geological information to accurately calibrate the seismic trace target layer, and determine the analysis time range of seismic data;

[0067] (2) Within the analysis time range of seismic data, the seismic data in step (1) is decomposed into a series of eigenmode functions track by track by using variational mode decomposition;

[0068] (3) Using the correlation function analysis method combined with the frequency analysis, the high-frequency eigenmode function is selected from a series of eigenmode functions;

[0069] (4) For the optimized high-frequency eigenmode function, use the time-frequency analysis method based on variational mode decomposition combined with the five-point average sliding method to optimize the logarithm for estimating the attenuati...

Embodiment 2

[0106] refer to figure 2 , the seismic data used to calculate the formation quality factor and its intrinsic mode function generated by variational mode decomposition, the first intrinsic function IFM1 and the second intrinsic mode function generated by variational mode decomposition IFM2 and the third eigenfunction IFM3, respectively, as figure 2 As shown in (b), (c) and (d), (a) is a synthetic seismic record generated using the minimum phase wavelet. The synthetic record does not contain noise, the theoretical quality factor Q is 50, and the sampling frequency is 500HZ.

Embodiment 3

[0108] The correlation between each eigenfunction and the original seismic synthetic record is known from Table 1. The first IMF1 and the second IMF2 meet the condition that the correlation coefficient is greater than 0.3.

[0109]Table 1 Correlation between each eigenfunction and the original synthetic seismic record

[0110]

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 provides a stable seismic quality factor Q estimation method based on variational mode decomposition, belonging to the field of oil and gas exploration geophysical processing methods. The method comprises the following steps of: decomposing seismic data into a series of intrinsic mode functions by adopting variational mode decomposition, then preferably selecting a main contributionintrinsic mode function component of a seismic signal by using a correlation function method, preferably selecting a high-frequency intrinsic mode function by combining frequency analysis, preferablyselecting a logarithmic amplitude spectral band for estimating attenuation of data points of adjacent layers of the seismic data by using a time-frequency analysis method based on variational mode decomposition combined with a five-point average sliding method for the high-frequency intrinsic mode function, and providing a stable stratum quality factor Q estimation value of a seismic channel by combining the least square method. The stable seismic quality factor Q estimation method based on variational mode decomposition overcomes the defect of long transmission time for the time-frequency joint variable estimation quality factor, avoids the mutual influence of different frequency bands, avoids the influence of noise and improves the estimation precision and stability of the quality factorQ.

Description

technical field [0001] The invention relates to the field of geophysical processing methods for oil and gas exploration, in particular to a method for estimating a stable seismic quality factor Q based on variational mode decomposition. Background technique [0002] The absorption and attenuation of the formation will reduce the energy of the reflected wave received by the ground, and the velocity will be dispersed. The quality factor Q is usually used to describe the inherent medium properties that cause the attenuation of seismic wavelet distortion and amplitude weakening. It is of great significance in layer description and hydrocarbon detection. [0003] Conventional time-domain seismic quality factor Q estimation methods, such as amplitude attenuation method, analytical signal method, rise time method, etc., often require real amplitude information, and the real amplitude information is due to wave front expansion, transmission consumption and removal The influence 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
IPC IPC(8): G01V1/30
CPCG01V1/306
Inventor 薛雅娟曹俊兴王兴建杜浩坤
Owner CHENGDU UNIV OF INFORMATION TECH
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