深度更新- FWI的挑战和解决方案

N. Chemingui, A. Valenciano, T. Martin
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引用次数: 0

摘要

传统的速度模型建立(VMB)在复杂情况下,如盐内和盐下数据,需要耗时的人工干预。这一过程可能产生不可靠的模型,导致盐下铅评估的不确定性增加。我们演示了全波形反演(FWI)的应用,以改进传统VMB生成的传统速度模型。我们在墨西哥湾的同时长偏移(SLO)数据集上展示了我们的解决方案,该数据集是用双传感器拖缆获取的,提供了低频丰富的数据。SLO配置记录了16公里偏移的数据,使折射和反射都能够更新速度模型的更深部分。我们采用了FWI速度梯度来消除偏移等时线。通过从更新的模型中去除反射率印记,这为盐内和盐下模型更新提供了支持。FWI应用成功地细化了盐体的几何形状,包括碱盐和盐内包体。RTM图像显示出明显的隆起,特别是盐侧和盐下反射体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Updates - Challenges and Solutions for FWI
Conventional velocity model building (VMB) in complex regimes, such as intra and subsalt data, requires time-consuming manual intervention. It is a process that can produce unreliable models, leading to an increase in uncertainty for subsalt lead evaluation. We demonstrate an application of Full Waveform Inversion (FWI) to refine legacy velocity models generated by conventional VMB. We present our solution on a simultaneous long-offsets (SLO) dataset from the Gulf of Mexico, acquired with dual-sensor streamers, which provided low-frequency rich data. The SLO configuration recorded data with 16 km of offset, enabling both refractions and reflections to update the deeper parts of the velocity model. We employ an FWI velocity gradient that eliminates the migration isochrones. This provides support for the intra and subsalt model updates by removing the reflectivity imprint from the updated models. The FWI application successfully refined the geometry of the salt bodies including the base salt and the intrasalt enclosures. RTM images show a marked uplift, particularly for both the salt flanks and subsalt reflectors.
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