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Building velocity models for depth imaging in the presence of short-wavelength velocity variations: a North Sea case study

机译:在短波长速度变化的情况下为深度成像建立速度模型:北海案例研究

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摘要

This case study encapsulates several issues that are highly relevant to the latest model building workflows for depth imaging. Firstly, because several datasets of different vintages and most importantly, different acquisition azimuths are input, multi-azimuth tomography is required. This is an increasing trend as more surveys are acquired with wide- and rich-azimuth technology. Secondly, because the chalk shows widespread strong velocity heterogeneity, there are many locations that nicely illustrate how the different azimuths actually contribute to solving short-wavelength velocity variations - much more so than any single azimuth could have done In order to achieve this, the velocity picking needs to be dense and all the non-hyperbolic trends must be modelled by means of full multi-offset picking. Finally, because of the large velocity contrasts with both the chalk and salt layers, the model building needs to use a hybrid grid tomography technique. More routinely, the model is calibrated with a number of wells distributed across the model building area and VTI anisotropy is incorporated for several layers.
机译:本案例研究总结了与深度成像的最新模型构建工作流程高度相关的几个问题。首先,由于输入了不同年份的数据集,最重要的是,输入了不同的采集方位角,因此需要多方位层析成像。随着使用宽方位角和富方位角技术进行的更多调查获得了越来越多的趋势。其次,由于白垩显示出广泛的强速度非均质性,因此有许多位置可以很好地说明不同方位角实际上是如何解决短波长速度变化的-远比任何单个方位角可以做到的要大得多采摘需要密集,所有非双曲线趋势必须通过完全多偏移采摘来建模。最后,由于与粉笔层和盐层的速度差异很大,因此模型构建需要使用混合网格层析成像技术。更常规地,使用在整个模型构建区域分布的许多井来校准模型,并在几层中合并VTI各向异性。

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