网格层析成像速度建模方法与应用

Velocity model building based on grid tomography

本文应用网格层析成像技术优化叠前深度偏移速度模型。该方法可弥补传统的层析成像技术对垂向速度模型优化的缺陷,更适用于无法进行层位解释,划分速度界面的低信噪比地区的地震资料叠前深度偏移速度建模。对大庆油田实际地震资料速度模型建立和叠前深度偏移的应用效果表明,利用网格层析优化后的速度模型精度较高,而且算法稳定。

In the paper,we propose an optimized gridtomography based velocity model building method for pre-stack depth migration.This method can make up limitations of the conventional tomography for vertical velocity model optimum.Usually it is very difficult to track horizons and velocity interfaces in low S/N ratio areas.In this case, this method is efficient.Applications in Daqing Oilfield indicate that the velocity model building method based on grid tomography is accurate and the algorithm is stable.