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First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method
Amen Bargees1, Abdullatif A Al-Shuhail1
1Geosciences Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
This study introduces a new seismic data processing method for accurately picking first arrivals in non-minimum phase data using complex trace analysis and outlier detection. The novel approach effectively identifies seismic energy onsets, improving geophysical data interpretation.
Area of Science:
- Geophysics
- Seismic Data Processing
- Signal Analysis
Background:
- First arrival travel time picking is crucial for seismic data processing.
- Traditional methods struggle with non-minimum phase seismic data.
- Existing techniques often rely on detecting energy jumps at trace onsets.
Purpose of the Study:
- To develop a robust method for first arrival picking in non-minimum phase seismic data.
- To improve the accuracy and reliability of seismic data interpretation.
- To address limitations of conventional energy jump detection methods.
Main Methods:
- Complex trace analysis using the Hilbert integral transform to generate complex seismic traces.
- Envelope extraction from the complex seismic trace.
- Outlier detection via the three-sigma rule to identify first arrival energy onsets.
Main Results:
- The method accurately detected first arrivals in zero-phase synthetic data with added noise.
- Testing on real Vibroseis data demonstrated 67% accuracy within 20 milliseconds of manual picks.
- The proposed technique generates logical windows for precise first arrival identification.
Conclusions:
- The complex trace analysis and outlier detection method is effective for picking first arrivals in non-minimum phase seismic data.
- This approach offers a significant improvement over traditional methods for challenging datasets.
- The technique shows promise for enhancing geophysical data processing workflows.
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