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Oil well casing coupling detection method based on magnetic positioning signal feature recognition

A signal feature and oil well casing technology, which is applied in the field of oil well casing coupling detection based on magnetic positioning signal feature recognition, can solve the problem of inability to accurately extract features of magnetic positioning signals, and improve detection accuracy and accuracy and computational complexity. The effect of small, concise mathematical expressions

Active Publication Date: 2013-11-27
HARBIN INST OF TECH
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Problems solved by technology

[0004] In order to solve the problem that the traditional detection method of the oil well casing collar cannot extract the accurate features of the magnetic positioning signal submerged by noise during horizontal well logging, the present invention proposes the detection of the oil well casing collar based on the feature recognition of the magnetic positioning signal method

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  • Oil well casing coupling detection method based on magnetic positioning signal feature recognition
  • Oil well casing coupling detection method based on magnetic positioning signal feature recognition
  • Oil well casing coupling detection method based on magnetic positioning signal feature recognition

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specific Embodiment approach 1

[0042] Specific implementation mode 1. Combinationfigure 1 Specifically illustrate the present embodiment, the oil well casing collar detection method based on magnetic positioning signal feature recognition described in the present embodiment, it comprises the following steps:

[0043] Step 1. Collect the induced voltage of the magnetic locator, and convert the induced voltage into a 12-bit digital signal through an A / D converter. The magnetic locator is placed in an oil well logging instrument such as a tractor, and follows the tractor in the oil well casing. Work in the tube;

[0044] Step 2, performing fast Fourier transform on the obtained 12-bit digital signal, and selecting sampling frequency and decomposition scale of wavelet decomposition according to the result of fast Fourier transform;

[0045] Step 3. According to the sampling frequency and decomposition scale selected for wavelet decomposition, carry out lifting wavelet decomposition to the 12-bit digital signal ...

specific Embodiment approach 2

[0051] Embodiment 2. The difference between this embodiment and the oil well casing collar detection method based on magnetic positioning signal feature recognition described in Embodiment 1 is that the wavelet coefficient or single branch obtained by decomposing the lifting wavelet described in step 3 The wavelet reconstructed signal is used to evaluate the characteristic information, obtain the position information of the casing collar, and realize the anti-interference detection of the casing collar. The specific process is as follows:

[0052] Step 31. Calculate the wavelet coefficients in each wavelet scale or the modulus maxima of a single wavelet reconstructed signal, and perform singularity detection. The modulus maxima points in each wavelet scale converge into singular points, and the modulus The maximum value is used for signal denoising and the wavelet coefficient with abnormal singularity or single wavelet reconstruction signal is screened out according to the thre...

specific Embodiment approach 3

[0054] Specific Embodiment 3. The difference between this embodiment and the oil well casing collar detection method based on magnetic positioning signal feature recognition described in Embodiment 2 is that the wavelet coefficient or single-branch abnormality described in step 32 The specific process of performing the Tsallis wavelet singular entropy operation on the wavelet reconstructed signal is as follows:

[0055] Let D={d(k),k=1,2,...,N} be the discrete wavelet coefficients or single wavelet reconstruction signal matrix with data length N in wavelet multi-resolution analysis,

[0056] Among them, d(k) is the kth discrete wavelet coefficient or single-branch wavelet reconstruction signal, and k is the element position variable in the discrete wavelet coefficient or single-branch wavelet reconstruction signal matrix;

[0057] Define a sliding data window with a window width w∈N and a sliding factor δ∈N on the wavelet coefficient or single wavelet reconstruction signal, an...

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Abstract

The invention relates to an oil well casing coupling detection method based on magnetic positioning signal feature recognition and aims to solve the problem that at the time of horizontal well logging, a traditional detection method of an oil well casing coupling cannot accurately extract features of a magnetic positioning signal submersed in noise. According to the oil well casing coupling detection method, induced voltage of a magnetic positioning instrument is collected and converted into a 12-number digital signal; the acquired 12-number digital signal is subjected to fast Fourier transformation, and the sampling frequency and decomposition scale of wavelet decomposition are selected according to the result of the fast Fourier transformation; the 12-number digital signal is subjected to lifting wavelet decomposition according to the selected sampling frequency and decomposition scale of the wavelet decomposition, and a wavelet coefficient or a single wavelet reconstruction signal obtained through the lifting wavelet decomposition is subjected to feature information evaluation to acquire the position information of a casing coupling. The oil well casing coupling detection method based on magnetic positioning signal feature recognition is suitable for the fields including pipeline inspection and medical treatment.

Description

technical field [0001] The invention relates to an anti-interference detection method for an oil well casing collar, in particular to an oil well casing collar detection method based on magnetic positioning signal feature recognition. Background technique [0002] Due to its advantages of high precision and strong stability, magnetic positioning technology has been widely used in pipeline inspection and medical treatment. In the logging process, the coupling detection of oil well casing is usually realized by using the magnetic positioning signal generated by the movement of the magnetic locator in the casing. The oil well casing is formed by connecting multiple identical steel casings with couplings. After mastering the number of couplings passed by the magnetic locator, the position of the logging tool in the casing can be obtained through calculation. Under clean conditions or in a new casing with normal couplings, the ideal coupling magnetic positioning signal waveform ...

Claims

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Application Information

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IPC IPC(8): G01V3/38
Inventor 李浩昱陈继开唐天天
Owner HARBIN INST OF TECH
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