论文部分内容阅读
为适应复杂构造和岩性油气藏勘探开发对地震处理精度的需求,一种源于反演思想的最小二乘偏移算法应运而生。基于最小二乘偏移基本理论,推导了互为共轭的正传播和反传播算子,实现了基于裂步DSR的最小二乘偏移算法。在算法优化的基础上,将算法分别应用于水平层状和Marmousi模型进行偏移试算,结果证实了LSM不仅适用于复杂地质构造成像,且经过多次迭代后的成像质量在局部区域要优于常规偏移方法,具体表现为:1)成像分辨率有一定提高;2)中深层能量得到有效补偿。
In order to meet the need of seismic processing accuracy for complex structures and exploration and development of lithologic reservoirs, a least-squares migration algorithm originated from inversion idea came into being. Based on the basic theory of least-squares offset, the positive and anti-propagation operators are derived, and the least-squares migration algorithm based on the cracked DSR is implemented. Based on the algorithm optimization, the algorithm is applied to the horizontal stratification and the Marmousi model respectively for offset trial calculation. The results show that the LSM is not only suitable for complex geological imaging, but also after several iterations, the imaging quality is better in the local area In the conventional offset method, the specific performance is as follows: 1) the imaging resolution is improved; 2) the mid-deep layer energy is effectively compensated.