Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Denoising method based on well logging-seismic combination

A well-seismic combination and algorithm technology, applied in the fields of seismology, seismic signal processing, instruments, etc., can solve the problem that the filter is difficult to distinguish between noise and effective signal components, and there is no regularity, so as to overcome the difficulty of distinguishing noise and effective signal, Improve utilization efficiency and improve the effect of signal-to-noise ratio

Inactive Publication Date: 2017-06-20
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, due to the complexity and irregularity of high-frequency noise, the conventional denoising methods represented by the above-mentioned patent documents mainly use the filtering technology based only on seismic data, and it is difficult to distinguish between noise and effective signal components in filtering

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
  • Denoising method based on well logging-seismic combination
  • Denoising method based on well logging-seismic combination
  • Denoising method based on well logging-seismic combination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] As a preferred embodiment of the present invention, it establishes a mathematical relationship between the synthetic record made from well logging data and the side-hole seismic record, and then applies this relationship to all seismic records to perform denoising. The detailed steps are as follows:

[0027] a. Make logging reflection sequence: input acoustic wave and density logging data, convert into wave impedance, and generate reflection coefficient sequence from wave impedance;

[0028] b. Select the theoretical wavelet: According to the analysis of the seismic data, determine the main frequency and type of the theoretical wavelet;

[0029] c. Making a synthetic record: convolute the reflection coefficient sequence generated in step a with the theoretical wavelet determined in step b to generate a synthetic record, and do time-depth relationship matching with the wellside seismic record;

[0030] d. Establish mathematical relationship: establish the mathematical r...

Embodiment 2

[0034] Embodiment 2: Simulation profile random noise and regular noise removal

[0035] (1) Construct a two-dimensional multi-layer velocity model, and wells distributed in three positions, from left to right are w1, w3, w2, and corresponding logging acoustic data, and give accurate time-depth relationship . Set the Reckel wavelet with 60Hz main frequency, and use the seismic forward modeling method to obtain a noise-free post-stack section ( image 3 -a). Then generate non-white noise random noise profiles ( image 3 -b) and a regular but non-linear noise profile ( image 3 -e), the energy is about 20% of the energy of the seismic section, mixed into the noise-free section to form a noisy simulation section ( image 3 -c, image 3 -f). It can be seen that the effective signal is almost submerged in the noise;

[0036] (2) Select the BP neural network algorithm as the algorithm for establishing the mathematical relationship. The network structure is designed as a feed-...

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 denoising method based on well logging-seismic combination. The method is characterized in that relationship is established between synthesis records manufactured by well logging information and seismic information, noise in the seismic information is removed, and the signal to noise ratio of the seismic information is increased. Because the seismic information, especially a high-frequency component, is submerged into the noise and the finding of a noise rule is difficult, the conventional denoising method only utilizes the seismic information per se, so that the removal of the noise is difficult. The denoising method has the advantages that the synthesis records obtained by converting the acoustic wave well logging information are regarded as noise-free expected output, and a seismic record is used as input; when mathematic relationship between the synthesis records and the seismic record is established, an effective signal is enhanced, a noise signal is weakened, and the purposes of denoising and increasing a signal to noise ratio are realized; by combining the synthesis records of the well logging information and the seismic record, the nonregular noise can be removed.

Description

technical field [0001] The invention relates to the field of seismic data processing for exploration and development of oil and gas fields, in particular to a denoising method based on well-seismic combination. Background technique [0002] In oil and gas seismic exploration, noise will be generated during the acquisition and processing of seismic data, including low-frequency and high-frequency noise. The types include regular interference such as sound waves and surface waves, and random noise and other types of irregular interference. Part of the regular noise can be removed by using existing mature methods according to the noise distribution law, and there are relatively mature methods for removing random noise close to white noise. However, some noise is neither regular nor white noise, so it is difficult to effectively remove it, especially for high-frequency signals, the noise energy is stronger than the effective signal energy, or even much stronger, such noise is di...

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
CPCG01V1/366G01V2210/324
Inventor 吴宗蔚
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products