A first arrival picking method of microseismic data based on single time window with window length independent

Shen, Tong; Tuo, Xianguo; Li, Huailiang; Liu, Yong; Rong, Wenzheng

doi:10.1007/s10950-018-9789-y

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Peraldi and Clement (1972) addressed the first arrival travel time using cross-correlation of adjacent traces [ 2 ]. Numerous methods, such as short-term average/long-term average (STA/LTA) [ 3 ], Akaike information criterion ([ 4 , 5 ]), instantaneous travel time [ 6 ], edge detection [ 7 ], polarization analysis [ 8 ], neural networks ([ 9 , 10 , 11 ]), and deep learning algorithms [ 12 ], have been developed and improved to pick the first arrivals of seismic traces.…”

Section: Introductionmentioning

confidence: 99%

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

Bargees

Al-Shuhail

2022

Sensors

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First arrival travel time picking is an important step in many seismic data-processing applications. Most first arrival picking methods search for a sudden jump in seismic energy at trace onsets, which is clearly appropriate for minimum-phase data. This paper proposes a method for the first arrival picking of non-minimum phase data based on complex trace analysis. The Hilbert integral transform generates a complex seismic trace, followed by extraction of the envelope. The first arrival identification introduces an outlier detection method that uses the widely used three-sigma rule of thumb, which is commonly used in most software algorithms to identify outliers. The proposed method ultimately generates logical windows of ones (at the locations of outliers) and zeros (elsewhere). The first arrival is selected in the middle of the first outlier window. Testing the proposed method on zero-phase synthetic data with added 10% and 20% random noise, the method detected the true first arrivals accurately. Furthermore, tests on real Vibroseis data showed that the method recognizes the first arrivals with 67% accuracy within 20 milliseconds of their corresponding arrival times manually picked by an experienced geophysicist.

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Section: Introductionmentioning

confidence: 99%

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

Bargees

Al-Shuhail

2022

Sensors

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First Arrival Picking of Aircraft-Excited Seismic Waves Based on Energy Distribution

Li,

Jiang,

Pang

2025

IEEE Trans. Instrum. Meas.

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Improving onset picking in ultrasonic testing by using a spectral entropy criterion

Bühling,

Maack

2024

The Journal of the Acoustical Society of America

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In ultrasonic testing, material and structural properties of a specimen can be derived from the time-of-flight (ToF). Using signal features, such as the first peak or envelope maximum, to calculate the ToF is error-prone in multipath arrangements or dispersive and attenuating materials, which is not the case for the signal onset. Borrowing from seismology, researchers used the Akaike information criterion (AIC) picker to automatically determine onset times. The most commonly used formulation, Maeda's AIC picker, is reassessed and found to be based on inappropriate assumptions for signals often used in ultrasonic testing and dependent on arbitrary parameters. Consequently, an onset picker for ultrasonic through-transmission measurements is proposed, based on a spectral entropy criterion (SEC) to model the signal using the AIC framework. This SEC picker takes into account the spectral properties of the ultrasonic signal and is virtually free of arbitrary parameters. Synthetic and experimental data are used to compare the performance of SEC and AIC pickers. It is shown that the accuracy of onset picking is improved for densely sampled data.

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A first arrival picking method of microseismic data based on single time window with window length independent

Cited by 5 publications

References 16 publications

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

First Arrival Picking of Zero-Phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method

First Arrival Picking of Aircraft-Excited Seismic Waves Based on Energy Distribution

Improving onset picking in ultrasonic testing by using a spectral entropy criterion

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