自适应横向变速参考速度选择方法

基于扰动理论的混合域波动方程波场外推算子,具有一定介质横向速度变化适应能力,是反射地震学中研究较多的成像方法。此类波场外推算子沿深度层进行波场外推,都存在参考速度选择问题。单参考速度波场外推算子,适应地下介质弱横向变速,而多参考速度波场外推算子可以提高横向变速的适应能力和成像精度,但要以大量计算为代价。本文提出的自适应多参考速度选择策略,根据外推层地质构造的复杂度和给定的速度门槛值自动选择参考速度个数,利用该策略构造混合域SSF、FFD、WXFD和GSP等多参考速度波场外推成像算法。盐丘模型理论数据测试结果表明,自适应多参考速度波场外推算法具有强横向变速适应能力和较高成像精度。

A self-adaptive algorithm for choosing reference velocities in the presence of lateral velocity variations

Based on perturbation theory, the wave equation extrapolation operator with mixed domains has the ability to deal with lateral velocity variations. It is the image method that has undergone much research in seismology. All extrapolation operators face the problem of choosing the reference velocity due to continuation in depth. The wavefield extrapolation operator with a single reference velocity is suitable for media with weak lateral variation. The multi-reference velocity extrapolation operator can cope with severe lateral velocity variations and improve image accuracy. However, the calculation cost is large. We present a self-adaptive approach to automatically determine the number of selected reference velocities according to the complexity of structure and the given velocity threshold value. The approach can be used to construct the SSF, FFD, WXFD, and GSP multi-reference velocity wavefield extrapolation image algorithms. The result of a salt-dome model data test demonstrates that the self-adoptive multi-reference wavefield extrapolation algorithm has the ability to deal with severe lateral velocity variations and can also be used for structure edge detection. The method is flexible and computationally cost-effective.