2003•Progress in geophysicsRequires access

Apply of 2-D wavelet transforms in surface wave eliminations of seismic exploration

Yang Liu

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Abstract

Upon the characteristics of deep seismic data, we use the characteristics of two-dimensional (2-D) wavelet transforms that is apt to separate noise and signal, and then apply it to deep oil and gas exploration. Some satisfactory results are obtained in surface wave eliminations, and it greatly improves SNR of deep seismic data.

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What this paper is about

Upon the characteristics of deep seismic data, we use the characteristics of two-dimensional (2-D) wavelet transforms that is apt to separate noise and signal, and then apply it to deep oil and gas exploration. Some satisfactory results are obtained in surface wave eliminations, and it greatly improves SNR of deep seismic data.

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Available abstract

Upon the characteristics of deep seismic data, we use the characteristics of two-dimensional (2-D) wavelet transforms that is apt to separate noise and signal, and then apply it to deep oil and gas exploration. Some satisfactory results are obtained in surface wave eliminations, and it greatly improves SNR of deep seismic data.

Key concepts: Seismic exploration, Geology, Oil exploration, Wavelet, Seismology, Wavelet transform, Exploration geophysics, Noise (video)

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