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Analysis of 4-C data for AVO effects at teal south, eugene island 354

机译:尤金岛354蓝绿色南部的AVO效应的4-C数据分析

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A recent 3-D, 4-C seismic survey at teal South in the Gulf of Mexico poses a number of challenges for AVO analysis, some which are not normally encountered in conventional marine streamer surveys. Among these, some are associated with the use of a sparse grid of ocean-bottom receivers. Before embarking on AVO analysis, thereore, we believe that it is neccessary to demonstrate whether the survey sufficiently samples the AVO rspose of the suburface and also to determine how best to process the survey so as to preserve that response. The former question is related to how evenly the subsurface is illuminated and also to how evenly the upcoming reflected waveflield is smapled at the eafloor. Ideally, both sources and receivers would be finely spaced on regular grids. SInce this is cetainly not the case for our receiver grid, we have less flexibility in dealing with azimuthal variations. That is, the distributiomn of aximuths and offsets in CMP bins will not only be limited, but will exhibit significant cjhanges spatially. Regarding the processing question, tests support applying a conventional AVO-preprocessing sequence. Further, they indicate the AVO analysis of this survey might better be conducted after prestack migration. Using a 3-D PSPI depth migration of common-receiver gathers, we obtained an image volume that compares favorably to that obtained from conventional CMP stack and 3-D poststack time migration. since irregularities in the source grid can affect amplitudes in the output image, we devised a regirdding procedure as an alternative to binning. Our next step is to evaluate whether the proposed processing strategy outperforms conventional processing in conditioning prestack P-P and P-S reflection data for AVO analysis.
机译:墨西哥湾青绿色南部最近的3-D,4-C地震勘测给AVO分析带来了许多挑战,而传统的海上拖缆勘测通常没有遇到这些挑战。其中,有些与海底接收机稀疏网格的使用有关。因此,在开始进行AVO分析之前,我们认为有必要证明调查是否充分采样了郊区AVO的用途,并确定如何最好地处理调查以保留该答复。前一个问题与地下照明的均匀程度有关,也与即将到来的反射波场在工作台上的均匀程度有关。理想情况下,源和接收器都应在规则的网格上很好地隔开。因为对于我们的接收方网格来说肯定不是这种情况,所以在处理方位角变化时我们的灵活性较小。也就是说,CMP仓中轴的位置和偏移量的分布不仅会受到限制,而且会在空间上呈现出很大的变化。关于处理问题,测试支持应用常规的AVO预处理序列。此外,他们指出,这项调查的AVO分析可能最好在叠前偏移之后进行。使用公共接收器集合的3-D PSPI深度迁移,我们获得的图像量可与从常规CMP堆栈和3-D堆栈后时间迁移获得的图像量相比。由于源网格中的不规则会影响输出图像中的振幅,因此我们设计了重新编排过程作为装箱的替代方法。我们的下一步是评估在处理用于AVO分析的叠前P-P和P-S反射数据时,所提出的处理策略是否优于常规处理。

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