A method for evaluating marine controlled source electromagnetic data quality

By performing distribution projection and cluster analysis on marine controlled-source electromagnetic data, and using the K-medoids method to evaluate the aggregation degree and interval of the data, the accuracy problem of existing methods in data quality assessment under complex environments is solved, and the applicability and accuracy of the assessment are improved.

CN117435900BActive Publication Date: 2026-06-19JILIN UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JILIN UNIVERSITY
Filing Date
2023-11-10
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing methods for evaluating the quality of marine controlled-source electromagnetic data mainly rely on normality tests, which have limited applicability. They are particularly difficult to accurately assess data quality in complex environments and under low signal-to-noise ratio conditions, and are easily affected by anomalous 'flying points'.

Method used

The K-medoids clustering method was used to perform distribution projection and cluster statistics on marine controlled-source electromagnetic data. The compactness CP calculation formula was used to evaluate the aggregation degree and interval of the data, and the data quality was directly quantified.

Benefits of technology

This improves the applicability and accuracy of data quality assessment, ensures the accuracy and reliability of data, and supports the effectiveness of marine scientific research and resource exploration.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a method for evaluating the quality of marine controlled-source electromagnetic data, belonging to the field of data quality evaluation technology. The method includes: projecting the acquired marine controlled-source electromagnetic data onto a two-dimensional plane, whereby the real and imaginary parts of the data signal are projected onto the horizontal and vertical coordinates to obtain the data distribution; performing cluster statistics on the data distribution using the K-medoids clustering method to obtain cluster centers; and using the cohesion (CP) calculation formula to perform aggregation degree analysis on the data distributed according to the cluster centers to obtain the data quality assessment result. This invention can directly quantify and evaluate data based on the cohesion of the electromagnetic data distribution characteristics, without defining empirical functions, requiring no specific data volume, and is unaffected by fly-spot data, thus improving the applicability and accuracy of the evaluation method.
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