Frequency domain quality control method and device for array acoustic wave full wave train signals

By processing the full wave train signal of acoustic logging using frequency domain quality control methods, the problems of lack of unified standards for acoustic logging data quality assessment and low processing timeliness are solved. This enables automated and accurate data quality assessment and anomaly detection, and is suitable for real-time logging in complex environments.

CN122283831APending Publication Date: 2026-06-26CHINA NAT PETROLEUM CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA NAT PETROLEUM CORP
Filing Date
2024-12-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing methods for assessing the quality of sonic logging data lack unified evaluation standards, have low processing efficiency, are easily affected by human factors, cannot meet the needs of real-time logging in the field, and lack rapid quality control methods to reduce the uncertainty of data quality assessment results.

Method used

The frequency domain quality control method is adopted. By receiving full-wavelength acoustic data and performing time-frequency conversion, the target peak position, peak position and half-width at half-maximum are determined, the effective bandwidth and peak frequency are calculated, low-frequency threshold and high-frequency threshold are set, abnormal signals are detected, and quality assessment results are generated.

Benefits of technology

It enables automated quality assessment of sonic logging data, improves processing accuracy and convenience, provides more reliable data quality assurance, and is suitable for real-time detection and anomaly diagnosis in complex environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a frequency domain quality control method and apparatus for arrayed acoustic full-wavelength signals, relating to the field of geophysical logging technology. The method includes: performing time-frequency conversion on received acoustic full-wavelength data to obtain the frequency domain signal of the acoustic full-wavelength data; performing a preset function fitting operation on the frequency domain signal of the acoustic full-wavelength data to determine the target peak position, and determining the effective bandwidth and peak frequency of the frequency domain signal of the acoustic full-wavelength data; determining the low-frequency and high-frequency signals of the frequency domain signal of the acoustic full-wavelength data based on the effective bandwidth and peak frequency, determining the low-frequency energy of the low-frequency signal and the high-frequency energy of the high-frequency signal, and identifying anomalous signals in the low-frequency and high-frequency signals; and generating a data quality assessment result for the current depth segment based on the number of all anomalous signals in the current depth segment. This application has the advantages of high processing accuracy and convenient implementation, and can provide a more reliable technical guarantee for the accuracy of subsequent logging data processing and interpretation.
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