反褶积干涉成像及其在随钻地震数据处理中的应用

Deconvolution interferometry and its application to seismic while drilling data processing

随钻地震是石油工程领域的一项新技术,是利用钻头破岩的连续随机振动信号进行钻前预测,通常需要利用钻头震源函数与地面记录互相关进行处理,而地下数千米震源函数的获取难度很大,成为制约随钻地震技术的一个关键问题.反褶积干涉成像是在互相关基础上发展起来的,可以利用随机噪音获得地震台站间的格林函数,对地下构造和速度结构成像,同时这种方法不依赖于震源函数信息.本文回顾了干涉成像的发展历程,分析了互相关干涉和反褶积干涉的原理、方法和特点,结合随钻地震数据处理需要,结合实例分析了反褶积干涉应用于随钻地震数据处理的前景,为发展新型随钻地震技术提供了重要参考信息.

Seismic While Drilling（SWD）is a new technology applied in the field of petroleum. It uses the continuous random vibration to make bit forecast by cross-correlation between the source function of thousands meters underground and the wave recorded on the surface. The key issue of the SWD is how to obtain the seismic source function at such a depth which blocks the wide application of SWD. The deconvolution interferometry, developed based on cross-correlation, is another technology that can be used in SWD. It doesn＇t need the source function and can derive the Green＇s function of station pairs by the ambient noise, and image the structure and velocity property of the subsurface. It can eliminate the effects of the source and get good image result. This paper reviews the developments of the deconvolution interferometry, and analyzes the theory and characters of the cross-correlation and deconvolution interferometry. With an example of deconvolution interferometry application to the SWD data processing, it demonstrates the great potential of deconvolution interferometry in SWD, and provides important information for new technology developments of SWD.