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HYBRID MIGRATION - A COST-EFFECTIVE 3-D DEPTH-IMAGING TECHNIQUE

机译:混合迁移-一种经济高效的3D深度成像技术

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The transformation of surface seismic data into a subsurface image can be separated into two components-focusing and positioning. Focusing is associated with ensuring the data from different offsets are contributing constructively to the same event. Positioning involves the transformation of the focused events into a depth image consistent with a given velocity model. In prestack depth migration, both of these operations are achieved simultaneously; however, for 3-D data, the cost is significant; Prestack time migration is much more economical and focuses events well even in the presence of moderate velocity variations, but suffers from mispositioning problems. Hybrid migration is a cost-effective depth-imaging approach that uses prestack time migration for focusing; inverse migration for the removal of positioning errors; and poststack depth migration for proper positioning. When lateral velocity changes are moderate, the hybrid technique can generate a depth image that is consistent with a velocity field. For very complex structures that require prestack depth migration, the results of the hybrid technique can be used to create a starting velocity model, thereby reducing the number of iterations for velocity model building. [References: 6]
机译:将表面地震数据转换为地下图像可以分为两个部分:聚焦和定位。聚焦与确保来自不同偏移量的数据对同一事件有建设性贡献有关。定位涉及将聚焦事件转换为与给定速度模型一致的深度图像。在叠前深度迁移中,这两个操作是同时完成的。但是,对于3D数据,成本很高;叠前时间迁移更为经济,即使在中等速度变化的情况下也能很好地聚焦事件,但会出现位置错误的问题。混合迁移是一种经济高效的深度成像方法,它使用叠前时间迁移进行聚焦;反向迁移以消除定位误差;以及叠后深度偏移以进行正确定位。当横向速度变化适中时,混合技术可以生成与速度场一致的深度图像。对于需要叠前深度偏移的非常复杂的结构,可以将混合技术的结果用于创建起始速度模型,从而减少用于速度模型构建的迭代次数。 [参考:6]

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