Combined attenuation random noise processing method based on curvelet transform and total variation

A curvelet transformation and processing method technology, which is applied in the field of seismic exploration and can solve the problem of uneven edges of the event axis.

Inactive Publication Date: 2014-09-24
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the Curvelet transform has many advantages in denoising, the Curvelet transform also has inherent defects. When denoising, i

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
  • Combined attenuation random noise processing method based on curvelet transform and total variation
  • Combined attenuation random noise processing method based on curvelet transform and total variation
  • Combined attenuation random noise processing method based on curvelet transform and total variation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] A joint attenuation random noise processing method based on curvelet transform and total variation, the steps are as follows:

[0055] 1) Acquisition of seismic data:

[0056] Acquisition of simulated data: The single-shot seismic data is simulated through the forward modeling of the wave equation model, and the technicians provide the migration and stacking data.

[0057] Acquisition of measured data: Arrange the location of the excitation point and multiple receiving points, and then generate seismic waves through the explosion of explosives embedded in the excitation points, and the geophones placed at each receiving point receive the seismic waves reflected from the underground reflection interface. The seismic wave data excited by the same shot received by the detector forms single-shot data.

[0058] 2) Single-shot seismic data to be acquired f Curvelet transform

[0059] for seismic data f Perform curvelet transform to obtain curvelet transform coefficients ...

Embodiment 2

[0090] like Figure 8 — Figure 12 , is the result of migration stack seismic data processing of a working area in the northern Jiangsu exploration area of ​​Jiangsu Oilfield.

[0091] The difference from Example 1 is that in step 2), the superposition data is used for curvelet transformation, and the superposition data acquisition method is as follows: performing surface wave and abnormal amplitude attenuation and surface consistent energy compensation on multiple single-shot data acquired , surface consistent deconvolution, surface consistent residual static correction, and then sorted into the common center point data domain for velocity interpretation, using the explained speed for dynamic correction, and superimposing the dynamically corrected data in the common center point domain , to get the overlay data. The remaining steps and processing methods are the same, only the specific parameter values ​​are different.

[0092] The result after processing is as follows:

...

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 relates to the technical field of seismic exploration, in particular to a combined attenuation random noise processing method based on curvelet transform and total variation. The method comprises the following steps: acquiring single-shot earthquake data; performing curvelet transform on the acquired single-shot data or stacking of single-shot data; performing multi-scale curvelet threshold denoising; denoising by adopting a total-variation denoising technology; outputting earthquake data through graphic display software. According to the method, an optimal threshold is selected according to the distribution rule of random noise in a curvelet domain to maximize the signal to noise ratio of data, and the aim of optimally denoising is fulfilled through curvelet transform; according to the total variation minimization technology; a curvelet coefficient is adjusted through a total variation minimization technology, thereby overcoming the defect of pseudo-curve caused by separate use of curvelet transform, and making displayed stratum data more real and reliable in order to further perform stratum analysis and obtain more accurate analysis results about the oil content and ore content.

Description

technical field [0001] The invention relates to the technical field of seismic exploration, in particular to a method for suppressing random noise in seismic data processing. Background technique [0002] Curvelet transform (Curvelet transform) is a relatively new multi-scale geometric transformation algorithm. In 1999, Candès and Donoho proposed the continuous curve wave (Curvelet) transform based on the Ridgelet transform, that is, the first-generation Curvelet transform; in 2002, Candès et al. proposed the second-generation Curvelet transform; in 2005, Candès et al. proposed Two fast discrete implementation methods based on the second-generation Curvelet transform theory are proposed: 1) Unequally-Spaced Fast Fourier Transform (USFFT); 2) Wrapping-Based Transform. Curvelet transform is widely used in the field of seismic data processing because of its superior locality to frequency and direction. Among them, Herrmann F et al. first applied Curvelet transform to the field...

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): G01V1/36
Inventor 薛永安王勇王山岭陈习峰庞全康陆树勤刘立民管文华潘成磊付波陈丹
Owner CHINA PETROLEUM & CHEM CORP
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap