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Improved Sub-Salt Imaging by Leveraging Advanced Data Acquisition and Reverse-Time Migration

机译:通过利用高级数据采集和反向时间迁移来改进盐下成像

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Reverse-time prestack depth migration (RTM) has over the last couple of decades been established as an accurate and robust depth-imaging tool. Continuous advances in CPU speed and computer technology are helping make RTM more cost efficient. Today, we see it being used as a standard tool in most seismic imaging projects in conjunction with other imaging tools such as one-way wavefield extrapolation migration and Kirchhoff migration. Reverse time migration uses the full two-way wave equation for the wavefield extrapolation steps; hence there is no intrinsic dip limitation with this approach. This allows the method to handle turning waves and multiply reflected prismatic waves. All migration methods benefit from spatially well-sampled input data with a large acquisition aperture. The introduction of wide-azimuth towed streamer (WATS) surveys has helped improve both aspects by offering wide receiver spreads and dense sampling. This ensures a more complete initial boundary condition for wavefield migration schemes, which again leads to improved sub-surface images. Applying RTM to wide azimuth data is a proper match between a state-of-the-art imaging algorithm and state-of-the-art acquisition. Here, we outline some of the challenges of implementing RTM so that it can be applied to exploration-scale datasets and wide-azimuth data in particular. We illustrate the performance of the RTM algorithm through comparisons with Kirchhoff, one-way wavefield migration and beam migration on a wide azimuth field dataset from the Gulf of Mexico.
机译:在过去的几十年中,逆时叠前深度偏移(RTM)已被确立为一种准确而强大的深度成像工具。 CPU速度和计算机技术的不断进步正在帮助使RTM更具成本效益。今天,我们将其与其他成像工具(如单向波场外推偏移和基尔霍夫偏移)一起用作大多数地震成像项目的标准工具。逆时偏移将完整的双向波方程用于波场外推步骤;因此,这种方法没有固有的倾角限制。这允许该方法处理转向波并倍增反射的棱镜波。所有迁移方法都受益于具有大采集孔径的空间采样良好的输入数据。宽方位拖曳拖缆(WATS)调查的引入通过提供较宽的接收器扩展范围和密集的采样,帮助改善了这两个方面。这确保了波场迁移方案的更完整的初始边界条件,这又导致了改进的地下图像。将RTM应用于宽方位角数据是最新成像算法与最新采集之间的恰当匹配。在这里,我们概述了实施RTM的一些挑战,以便可以将其应用于勘探规模的数据集,尤其是宽方位角数据。通过与Kirchhoff,单向波场偏移和波束偏移在墨西哥湾的宽方位角数据集上的比较,我们说明了RTM算法的性能。

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