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Computation of Kinematic Attributes for Pre-stack Time Migration

机译:对堆栈时间迁移的运动属性计算

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In many areas time imaging still represents the majority of seismic imaging activity in the industry. In this context pre-stack time migration remains a central process. We propose a new approach for estimating various kinematic attributes associated with pre-stack time migrated results. Our approach is based on a kinematic demigration of locally coherent events characterized by their position and dip in common offset time migrated images. The reflection angle, the instantaneous velocity or the geological dip can be estimated with the assumption that time imaging exactly positions laterally the events. In addition, the stretch factor and the "kinematic invariants" (the demigrated facet in the unmigrated domain!) can be recovered accurately independently of the positioning accuracy of time imaging.As opposed to many conventional approaches, the estimation is directly based on the travel time curves used in pre-stack time migration with no assumption regarding the structural dips or the lateral variations of the velocity model. The attributes may be used at various steps of the processing sequence: stretch factor to design de- stretching operators, reflection angle to design partial angle stacks forAVO/AVAstudies and kinematic invariants to perform reflection tomography.
机译:在许多地区,时间成像仍然代表行业中的大部分地震成像活动。在此上下文中,堆栈时间迁移仍然是一个中央进程。我们提出了一种新方法,用于估计与堆叠时间迁移结果相关的各种运动属性。我们的方法是基于局部相干事件的运动伪劣,其特征在于它们的位置和诸如共同的偏移时间迁移图像的倾向。通过假设时间成像精确地横向地定位事件,可以估计反射角度,瞬时速度或地质倾角。另外,拉伸因子和“运动域”(未预测的域中的损坏的刻面!)可以精确地独立于时间成像的定位精度准确恢复。反对许多传统方法,估计是基于行程的基础在堆叠时间迁移中使用的时间曲线,没有关于结构倾斜的假设或速度模型的横向变化。该属性可以在处理序列的各个步骤中使用:设计去拉伸运算符的拉伸因子,设计部分角度堆叠的反射角度,用于执行反射断层扫描。

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