论文标题
3d Marchenko内部多重衰减在巴西桑托斯盆地的狭窄方位角流媒体数据
3D Marchenko internal multiple attenuation on narrow azimuth streamer data of the Santos Basin, Brazil
论文作者
论文摘要
近年来，已经开发了多种用于衰减内部倍数的Marchenko方法。这些方法已在2D合成数据上进行了广泛的测试，并应用于2D字段数据，但是对于它们在3D合成数据和3D字段数据上的行为知之甚少。特别是，尚不清楚Marchenko方法是否足以适应实践中发现的稀疏采集几何形状。因此，我们首先执行一系列合成测试，以确定影响3D Marchenko内部多重预测和使用自适应双重选择方法减去结果的关键采集参数和局限性。基于这些测试，我们定义了插值策略，并将其用于现场数据应用程序。
In recent years, a variety of Marchenko methods for the attenuation of internal multiples has been developed. These methods have been extensively tested on 2D synthetic data and applied to 2D field data, but only little is known about their behaviour on 3D synthetic data and 3D field data. Particularly, it is not known whether Marchenko methods are sufficiently robust for sparse acquisition geometries that are found in practice. Therefore, we start by performing a series of synthetic tests to identify the key acquisition parameters and limitations that affect the result of 3D Marchenko internal multiple prediction and subtraction using an adaptive double-focusing method. Based on these tests, we define an interpolation strategy and use it for the field data application.
