数字检波器地震资料高保真宽频带处理技术

A processing method for high fidelity and wide frequency band seismic data collected by digital sensors

与模拟检波器接收地震资料相比,数字检波器地震资料具有频带宽、振幅保真度高、噪声大的特点。本文基于喇嘛甸工区数字检波器接收的三维三分量地震数据,应用纵波资料开展针对高含水开发后期精细砂体描述的高分辨率处理技术研究,主要研发了4项关键技术,即不同处理阶段的噪声逐次压制技术、数据驱动振幅校正技术、反褶积之前的Q值相位校正与振幅补偿技术、地表一致性脉冲反褶积技术。通过井震结合精细砂体识别与描述,结果证实数字检波器数据的处理成果能够清晰刻画砂体边界。

Compared with seismic data collected by analog geophones,seismic data collected by digital sensors have an obvious priority,such as amplitude of high fidelity,rich high-frequency components.But they also have contaminated by serious noises.It is a valuable to find proper processing techniques for the seismic data collected by digital sensors to obtain high resolution images.In order to provide high quality images for oil development during high water cut stage,a 3D3C seismic survey was carried out in Lamadian area.Four kinds of data processing techniques have been developed,i.e.noise attenuating during different stages,data-driven amplitude recovery,phase correction and amplitude compensation guided by Q value before deconvolution,and surface-consistent spiking deconvolution.The results of sandstone identification by seismic data and drilling data have proved the advantages of the processing approaches of seismic data collected by digital sensors.The sandstone boundaries are clearly delineated.