CHARACTERISTICS OF DEEPWATER SEISMIC DATA AND PROCESSING TECHNIQUES
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Abstract
As influenced by water depth, sea conditions, topography, geological conditions and other factors, the deep seismic data has some specific characteristics, such as the "Jitter" phenomenon, wavelet distortion, diverse noise, multiple wave growth, speed-sensitive, and significant anisotropy. By systemic analysis of the characteristics mentioned above, the authors summarized the common features and differences of the deep seismic data. Various processing techniques were studied, such as the integrated static correction, fine processing of wavelet, high-fidelity noise attenuation, combined suppression of multiple reflections, high-precision velocity analysis, anisotropy offset and other key technologies. A processing flowchart was proposed for the deep-water seismic data. With the integration of the techniques, the quality of seismic data is obviously improved.
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