基于局部相似属性的数据依赖地震照明分析方法

Seismic illumination analysis with local similarity

地震照明分析对观测系统设计具有重要意义。本文在局部相似属性基础上研究了数据依赖的地震数据照明分析方法。首先分析局部相似属性的物理含义,给出数据依赖地震照明度分析方法;将采集的地震数据进行处理得到共成像点道集数据,利用局部相似属性计算不同炮检距的照明强度,从而得到数据依赖的照明分析。该方法不需要地质模型的假设,充分利用实际采集地震数据,估算不同炮检距(或入射角)对目标地质体的照明度。利用数据依赖地震照明分析结果可及时调整、改进设计后续地震勘探数据采集观测系统。

Seismic illumination analysis has important significance for seismic acquisition geometry design. On the basis of the local similarity, we propose in this paper a data-dependent illumination analysis method. First we discuss the physical meaning of the local similarity attribute, and put forward a data-dependent seismic illumination analysis method. Then we process seismic data and obtain common image gathers. After that we calculate illumination energy of different offsets with the local similarity. So we achieve a data-dependent illumination analysis. The proposed method makes full use of the previous data information and estimates illumination of different geological bodies without geological model. The proposed method can be very helpful for improving future seismic acquisition geometry design. © 2016, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.