Compensation and imaging of seismic data in large-scale shallow gas cloud area
Cao ShengGao JunZou ZhenWang YongjunYin Zheng
摘要：Offshore oil fields account for a large proportion of the world’s crude oil production. However, the widely distributed gas cloud has become an important problem restricting oilfield exploration and development. It is generally believed that transverse wave data can effectively solve the gas cloud problem, but shear waves data are also difficult to image when large gas cloud exist in the shallow layer. In order to solve this problem, the case study presented here research on seismic imaging in gas cloud region. Combined with the forward modeling results, it is proved that the complex wave field caused by the scattering of gas cloud is the main reason for the difficulty of seismic imaging. The traditional processing methods are improved by using the time-frequency domain gas cloud attenuation compensation technique, the shallow diving wave combine deep reflection wave tomographic velocity modeling technique, and the pre-stack depth Q migration technique. Through the application of actual data, this process greatly improves the quality of migration imaging in gas cloud region, and also proposed to solve the problem of seismic imaging caused by shallow scatterers such as volcanic rocks.
地质学; 地质学; 地球物理学; 石油天然气工业; 矿业工程