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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相反时间迁移改进亚盐成像

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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:逆时间Prestack深度迁移(RTM)在过去几十年中已建立为准确且坚固的深度成像工具。 CPU速度和计算机技术的持续前进是有助于使RTM更具成本效益。今天,我们看到它在大多数地震成像项目中与其他成像工具一起用作标准工具,例如单向波场推开迁移和柯彻霍夫迁移。相反时间迁移使用Wavefield推断步骤的完整双向波动方程;因此,没有本方法没有内在的浸入限制。这允许处理转动波和乘法反射棱镜的方法。所有迁移方法都受益于具有大采集光圈的空间良好的采样输入数据。引入宽方位角牵引式拖缆(WATS)调查通过提供广泛的接收器传播和致密采样,帮助改善了两个方面。这确保了波面迁移方案的更完整的初始边界条件,其再次导致改进的子表面图像。将RTM应用于宽方位点数据是最先进的成像算法和最先进的获取之间的适当匹配。在这里,我们概述了实现RTM的一些挑战,以便它可以应用于勘探级数据集和宽方形数据。我们通过与墨西哥湾的宽方向字段数据集上的Kirchhoff,单向波场迁移和光束迁移的比较来说明RTM算法的性能。

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