Abstract
In this paper, we consider approaches to automating several stages of processing engineering seismic data: summing seismograms of different accumulations, picking the first arrival times, minimizing the residuals of mutual times for the hodograph system. The proposed methods are based on the comparison of waveforms of several traces using the cross-correlation function. The methods were tested on synthetic data to evaluate the optimal parameters of the procedures. Real data testing shows that the developed algorithms yield the results equal to manual processing.
Highlights
In this paper, we consider approaches to automating several stages of processing engineering seismic data: summing seismograms of different accumulations, picking the first arrival times, minimizing the residuals of mutual times for the hodograph system
The proposed methods are based on the comparison of waveforms of several traces using the crosscorrelation function
The methods were tested on synthetic data to evaluate the optimal parameters of the procedures
Summary
We consider approaches to automating several stages of processing engineering seismic data: summing seismograms of different accumulations, picking the first arrival times, minimizing the residuals of mutual times for the hodograph system. В данной работе рассматриваются подходы к автоматизации нескольких этапов обработки данных инженерной сейсморазведки МПВ: суммирование сейсмограмм разных накоплений, пикировка времен первых вступлений, увязка системы годографов по взаимным временам. Метод преломленных волн; годограф первых вступлений; инженерная сейсморазведка Для повышения качества данных (отношение сигнал/помеха) были предложены методы корреляционной обработки [Еманов, 2004].
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