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Research on Direct Pre-stack Depth Migration under the Undulating Topography Circumstance

机译:起伏地形条件下叠前深度的直接偏移研究

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Engineering seismic exploration aims at solving shallow and middle-layered problems.However the imaging precision will be severely confused by the usual static correction process if the records were taken from undulating topography areas.To a certain degree,the usual pre-stack migration helps to perfect the results,but it still can't be applied to complex topographic areas since the basic horizontal surface assumption.The direct pre-stack depth migration (DPDM) based on actual shot and receiver elevations,by which the static correction process is completely avoided before migration and surely the imaging precision will be remarkably improved.To obtain some artificial shot gathers for numerical experiments,we model the propagation of acoustic wave in undulating topography mediums with high-order staggered-grid finite-difference (FD) method.Since the large amount of regular interferences contained in the shot gathers,the static correction process must be performed to support the interference elimination through apparent velocity filtering method.Then every trace of these worked shot gathers should be removed back into their original positions by reverse static correction.Finally all the shot gathers will be migrated respectively by pre-stack reverse-time depth migration and then imaged.Obviously,in this case the static correction merely affects the regular interference decrease rather than pre-static migration.A group of model tests are presented to show that the DPDM can ideally turn away the mistakes caused by static correction and increase imaging precision of shallow and middle layers.
机译:工程地震勘探的目的是解决浅层和中层问题,但是如果记录是从起伏的地形区域中获取的,则通常的静态校正过程会严重混淆成像精度。完善了结果,但是由于基本的水平面假设,它仍然不能应用于复杂的地形区域。基于实际炮弹和接收器高程的直接叠前深度偏移(DPDM),可以完全避免静态校正过程为了获得一些人造的镜头集以进行数值实验,我们使用高阶交错网格有限差分(FD)方法对起伏地形介质中的声波传播进行建模。镜头聚集中包含大量常规干扰,必须执行静态校正过程以支持干扰通过视在速度滤波方法消除色散,然后将这些工作的炮弹的每条迹线通过反向静态校正移回其原始位置,最后所有炮弹都将通过叠前逆时深度偏移分别进行偏移,然后进行成像显然,在这种情况下,静态校正仅影响规则的干扰减小,而不是静态前的偏移。一组模型测试表明,DPDM可以理想地消除由静态校正引起的错误并提高浅层成像的精度。和中间层。

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