OBC水陆检数据合并处理技术

估算标定因子、海水深度和海底反射系数三个参数是OBC水陆检数据合并处理技术的关键步骤。针对常规方法确定这三个参数费时和精度低的缺陷，本文采用相关特征匹配法匹配水陆检数据、相关函数特征法直接计算标定因子、波场延迟特征法直接计算海底反射系数、分段归一化相关谱法直接计算海水深度和海水双程旅行时，对水中检波器数据和陆地检波器数据进行合并处理。合并后数据不但消除了海水鸣震多次波干扰，而且保留了陆检数据的低频成分和水检数据的高频成分，有效拓宽了海底电缆数据的有效频带，提高了地震资料的信噪比和分辨率。实例处理结果说明了方法的有效性和实用性。

OBC dual-sensor data combination processing

The estimation of three parameters,including calibration factor,sea-water depth,and sea bottom reflection coefficient,is a key step for ocean bottom cable (OBC) dual-sensor data combination processing.The estimation with conventional methods is very time-consuming and low accuracy.To solve the problem,we propose a dual-sensor data combination processing approach.The calibration factor is calculated by correlation function characteristic algorithm; the ocean-bottom reflection coefficient is directly obtained by the wavefield delay characteristic algorithm; and the sea-water depth and two-way travel time are directly computed by the piecewise normalized correlation spectrum algorithm.After that,OBC dual-sensor data are combined with these parameters.The combined data can not only eliminate multiples from the sea-water column reverberations,but also absorb high-frequency components from hydrophone data and low-frequency components from geophone data.So OBC data frequency bandwidth is effectively broadened; and seismic signal-to-noise ratio (SNR) and resolution are greatly improved.Real data examples illustrate the effectiveness and usefulness of the proposed approach.