摘要
传统面元规则化处理主要采用静态和动态面规则化等技术,但因丢道或借道原因,仍存在覆盖次数不均匀或振幅信息误差。煤炭地震勘探一般具有覆盖次数低、面元小的特点,借鉴同济大学辛可锋利用DMO实现三维数据规则化的方法和Biondi提出的三维叠前地震数据方位角校正方法,从方位角校正的角度入手,利用DMO和DMO-1相结合的处理流程对煤炭地震数据进行规则化。某煤矿区的地震数据规则化处理效果证实,在施工条件复杂、测线方向变化频繁、观测系统规则性很差的勘探区,对采集数据进行规则化处理,可使CMP的空间位置趋于规则分布,缺失的偏移距得到一定的弥补,更符合数据处理对观测系统的要求。处理后的数据既保持了原来的振幅特征,同时也提高了时间剖面的信噪比,数据规则化处理效果明显。
The conventional surface element regularizing mainly uses static and dynamic faces regularization technologies, but because of channel loss or channel piggybacking, uneven folds and amplitude information errors are still existed. In coal seismic prospecting usually has characteristics of less folds and smaller surface elements, to take the Tongji University Xin Kefeng＇s to realize 3D data regularization through DMO and Biondi＇s 3D prestack seismic data azimuthal correction for references, proceed with azimuthal correction, to use combined DMO and DMO-1 processing procedure carried out seismic data regularization. Processed results from a coal mine area have demonstrated that, in very complicated operational condition with frequent traverse direction changes, and poor field setup regularized prospecting areas, if acquired data are regularized, the CMP spatial position can be regularly distributed, and defaulted offsets can be fetched up in a certain extent, and tally with data processing requirements on field setup all the more. The processed data can keep original amplitude features, also S/N ratio of time section improved, thus the effect of data regularization is in evidence.
出处
《中国煤炭地质》
2010年第2期49-53,共5页
Coal Geology of China
