首页> 外文期刊>Tectonophysics: International Journal of Geotectonics and the Geology and Physics of the Interior of the Earth >Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack
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Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack

机译:使用公共反射面堆栈对北德盆地深层地震反射数据进行再处理

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The Common Reflection Surface (CRS) stack is a promising alternative stacking technique for reflection data. This technique is an automatic multi-parameter stack that does not require the explicit knowledge of a stacking velocity model. Furthermore, it significantly improves the signal-to-noise ratio as it considers more traces during the zero-offset stacking than the conventional CMP stack. Especially, for low-fold data in heterogeneous settings, the CRS stack is able to further enhance reflections. Recently, the CRS stack was applied to reflection data from sedimentary basins for oil and gas exploration purposes. It was not yet applied to crustal and deeper reflection data. We used the CRS stack for deep reflection data from the North German Basin. The data were acquired in the late 1970's and early 1980's with recording times down to 15 s TWT and mean CMP-folds of about 20. We reprocessed the data focusing on lower crustal and deeper structures. Compared to the conventional CMP processing of the 1980's, the reprocessed sections show an improved image quality at all time levels, i.e. from the sedimentary cover down to the crust and upper mantle. Especially, the reflections from the salt structures and Moho events are enhanced. Further, a constrained CRS stack was applied to the data using a stacking velocity model from conventional velocity analysis. The latter further improved the coherency and visibility of the reflections, especially in the area of the salt plugs and in the upper crust where multiples were suppressed. The data examples demonstrate that the CRS stack is a suitable tool for improving the quality of seismic images, especially for deep reflection data from low low-fold data acquisitions.
机译:公共反射面(CRS)堆栈是一种有前途的替代反射数据堆栈技术。该技术是自动多参数堆栈,不需要显式了解堆栈速度模型。此外,由于它在零偏移量堆叠过程中考虑了比常规CMP堆叠更多的迹线,因此显着提高了信噪比。特别是,对于异构环境中的低折数据,CRS堆栈能够进一步增强反射。最近,CRS堆栈被用于沉积盆地的反射数据,用于油气勘探。它尚未应用于地壳和更深的反射数据。我们将CRS堆栈用于北德盆地的深反射数据。该数据是在1970年代末和1980年代初获取的,记录时间降至15 s TWT,平均CMP倍数约为20。我们对数据进行了重新处理,重点是地壳下部和深部结构。与1980年代的常规CMP处理相比,经过重新处理的部分在所有时间级别(即从沉积覆盖层到地壳和上地幔)均显示出改进的图像质量。特别是盐结构和Moho事件的反射增强了。此外,使用来自常规速度分析的堆积速度模型将约束的CRS堆栈应用于数据。后者进一步改善了反射的相干性和可见性,特别是在盐塞区域和上层地壳中倍数被抑制的地方。数据示例表明,CRS堆栈是提高地震图像质量的合适工具,尤其是对于来自低倍率低倍数据采集的深反射数据而言。

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