OBC水陆检数据标定因子估算方法  

Scale factor estimation for OBC dual-sensor data

作　　者：高轩[1,2] 弓小平[1] 高少武 王成祥 李建峰 张红英 

机构地区：[1]新疆大学地质与矿业工程学院,新疆乌鲁木齐830047 [2]东方地球物理公司物探技术研究中心,河北涿州072750

出　　处：《石油地球物理勘探》2016年第1期49-53,18,共5页Oil Geophysical Prospecting

基　　金：国家科技重大专项(2011ZX05019-003)资助

摘　　要：标定因子估算是OBC水陆检数据合并处理的关键。针对常规标定因子扫描估算方法耗时的缺陷,通过计算水中检波器数据和陆地检波器数据的自相关函数及其互相关函数,建立标定因子特征方程;求解标定因子特征方程以确定最佳标定因子,用于水中检波器数据和陆地检波器数据的合并处理。不但可以消除海水鸣震多次波干扰,而且还可吸收陆检数据的低频成分和水检数据的高频成分,有效拓宽海底电缆数据的有效频率带宽,提高地震数据信噪比和分辨率。实际数据处理结果表明了该方法的有效性和实用性。Scale factor estimation is a key step to OBC dual sensor data combing processing.Conventional scanning estimation is very time-consumed.To solve this problem,we propose a characteristic equation algorithm in this paper.Through calculating auto-and cross-correlation functions of dual sensor data,we construct a characteristic equation of scale factor and obtain optimal scale factor.This optimal scale factor is performed in dual sensor data combing processing. With the proposed approach multiples from water column reverberations are eliminated,and the bandwidth of combined data is widened because lower frequency components from geophones and higher frequency components from hydrophone data are merged.So both data S/N and resolution are improved.Real data examples demonstrate the effectiveness of the proposed approach.

关 键 词：OBC 水陆检数据合并 标定因子 特征方程 信噪比 

分 类 号：P631[天文地球—地质矿产勘探]