MCSEM利用异常场主部分解消除海水层影响（英文）

Removal of the airwave effect by main-part decomposition of the anomalous field of MCSEM data

空气波效应对浅海可控源电磁勘探观测数据影响极大,严重掩盖了勘探目标体的异常效应,影响到后期勘探数据解释精度。为了有效消除空气波效应,本文基于StrattonChu型积分推导了异常主部分解方法,通过该方法得到的异常场主部可以有效消除浅海可控源电磁勘探数据中的空气波效应。理论分析表明,异常场主部分解方法实际上是一个在离散数据集上运行的有限脉冲响应(FIR)滤波器。该方法以积分变换形式实现,是一种稳健的处理方法,能有效抑制噪声对处理方法稳定性影响。数值试验显示,不仅空气-水界面造成的空气波效应,而且整个海水层的效应均可以利用这种分解方法从观测信号中去除掉。该技术对平坦海底和起伏海底均适用。

The airwave effect greatly influences the observational data from controlledsource electromagnetic exploration in shallow seas, which obscures the abnormal effects generated by exploration targets and, hence, affects the accuracy of the late exploration data interpretation. In this study, we propose a method to separate the main part from the anomalous field of marine controlled-source electromagnetic method （MCSEM） data based on Stratton-Chu integral transforms to eliminate the airwave effect, which dominates observed electromagnetic （EM） response in shallow seawater. This method of separating the main part from the anomalous field is a type of finite impulse response filter based on a discrete data set. Theoretical analysis proved that the method is stable and able to effectively depress noise. A numerical test indicated that the method could successfully eliminate the airwave effect from the observed EM signals generated by an air water interface and a seawater layer. This technique is applicable for seawater models with either flat or rough seabeds.