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Some improvements in subbasalt imaging using pre-stack depth migration.

机译:使用叠前深度偏移对玄武岩成像进行一些改进。

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摘要

Subbasalt imaging can be improved by carefully applying pre-stack depth migration. Pre-stack depth migration requires a detailed velocity model and an accurate traveltime calculation. Ray tracing methods are fast but, often fail in calculating traveltimes in complex models, specially, when they feature high velocity contrasts. Finitte difference solutions of the eikonal are more stable and can produce a traveltime field for the whole model avoiding shadow zones. A synthetic test was carried out to check the performance of a new pre-stack depth migration algorithm in a model that features a high velocity layer surrounded by lower velocities. The results reasonably reproduce the original model. The same scheme was used to process long-offset reflection data from the Faroe Shelf where conventional techniques (stack) were insufficient to assess the structure under a basalt layer. Pre-stack depth migration produced an improved image which recovered the main features in the stacked section and allowed to identify some subbasalt coherent events.
机译:通过仔细应用叠前深度偏移可以改善玄武岩成像。叠前深度偏移需要详细的速度模型和准确的行程时间计算。光线追踪方法速度很快,但是在复杂模型中,尤其是当它们具有高速对比度时,通常无法计算出传播时间。 Eikonal的Finitte差分解决方案更加稳定,可以为整个模型产生一个行进时间场,从而避免出现阴影区域。进行了综合测试,以检验模型中具有高速层且速度较低的新型叠前深度偏移算法的性能。结果合理地重现了原始模型。在传统技术(烟囱)不足以评估玄武岩层下的结构的情况下,使用相同的方案来处理来自法罗架的长偏移反射数据。叠前深度偏移产生了改进的图像,该图像恢复了叠层中的主要特征并允许识别一些玄武岩相干事件。

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