Method for extracting sound wave attributes in mineshaft

An attribute extraction, in-wellbore technology, applied in the field of acoustic wave attribute extraction, can solve problems such as unsatisfactory wellbore acoustic wave attribute extraction, and achieve the effect of improving extraction efficiency and accuracy.

Inactive Publication Date: 2011-06-15
武侯区巅峰机电科技研发中心
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for extracting acoustic wave attributes in a wellbore to solve the problem of unsatisfactory extraction of wellbore acoustic wave attributes, thereby providing convenience for downhole surveys

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  • Method for extracting sound wave attributes in mineshaft
  • Method for extracting sound wave attributes in mineshaft

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Embodiment Construction

[0017] Such as figure 1 As shown, the method for extracting properties of acoustic waves in a wellbore is characterized in that it includes the following steps:

[0018] (1) Decompile the sound wave data and extract the static information of the sound wave;

[0019] (2) Display the original properties and spectral properties of the sound wave, and determine the peak-seeking start time, filter parameters, window length, and step length;

[0020] (3) Change the peak-seeking start time, filter parameters, window length, and step length of the sound wave to obtain the corresponding sound wave properties;

[0021] (4) Compare the acquired acoustic wave properties and select the best acoustic wave properties;

[0022] (5) If the best acoustic wave property meets the requirements, it is the final acoustic wave property, otherwise, go back and continue to perform steps (3) to (4) until the required acoustic wave property is obtained.

[0023] In the step (3), the method of changing the peak see...

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Abstract

The invention discloses a method for extracting sound wave attributes in a mineshaft and belongs to sound wave extraction technologies. By the method, the problem that the sound wave attributes in the mineshaft cannot be perfectly extracted in the prior art is mainly solved. The method for extracting the sound wave attributes in the mineshaft is characterized by comprising the following steps of: (1) decoding sound wave data, and extracting static information of sound waves; (2) displaying primitive attributes and spectrum attributed graphs of the sound waves, and determining peak searching start time, filter parameters, window length and step length; (3) changing the peak searching start time, the filter parameters, the window length and the step length of the sound waves respectively to acquire corresponding sound wave attributes; (4) comparing the acquired sound wave attributes, and selecting the best sound wave attribute; and (5) defining the final sound wave attributes if the best sound wave attribute meets the requirements, and otherwise returning to continuously perform steps from (3) to (4) until the sound wave attributes which meet the requirements are acquired.

Description

Technical field [0001] The invention relates to a method for extracting properties of acoustic waves. Background technique [0002] my country started to import sonic full-wave logging tools from Schlumberger in the late 1980s and early 1990s. At that time, it was mainly used for carbonate rock and its complex lithology fracture evaluation and gas layer identification, and rock mechanics parameter evaluation. And well wall engineering applications. With the development and improvement of acoustic full-wave train logging technology, it has developed into a variety of methods such as short source distance, long source distance, and multipole array acoustic waves. Conventional sonic logging (sonic velocity, sonic amplitude logging, etc.) only records the speed or amplitude information of the glide longitudinal wave head wave, and does not record subsequent waves that carry a large amount of formation information, while sonic full-wavetrain logging records The speed, amplitude, freq...

Claims

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Application Information

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IPC IPC(8): E21B47/14
Inventor 黄友华
Owner 武侯区巅峰机电科技研发中心
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