Gravity anomaly separation by Wiener filtering
Gravity anomaly separation by Wiener filtering
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DOI：
10.1190/1.1442865
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发表时间：
1990-05
期刊：
影响因子：
3.3
通讯作者：
R. Pawlowski;R. O. Hansen
中科院分区：
文献类型：
--
作者：
R. Pawlowski;R. O. Hansen
介绍了一种基于频域维纳滤波的重力异常分离方法。当所关注的地质特征(信号)的重力响应主宰了观测重力场功率谱的一个区域(或频带)时，可以通过这种波长滤波来实现重力异常的分离。维纳滤波器比传统的带通滤波器更可取，因为在指定滤波器的传递函数时，可以在更大程度上结合来自研究区的地质信息。我们的方法与以前的维纳滤波方案的不同之处在于，它通过对已知地质(例如露头和钻孔数据)的直接建模，提供了定义滤波器传递函数所需的信号功率谱的更客观估计。我们首先用合成数据来说明这一技术，然后用南悖论盆地的一个现场例子来说明这一技术。Paradox盆地的例子揭示了所有波长滤波所固有的局限性。
We introduce a gravity anomaly separation method based on frequency‐domain Wiener filtering. Gravity anomaly separation can be effected by such wavelength filtering when the gravity response from the geologic feature of interest (the signal) dominates one region (or spectral band) of the observed gravity field’s power spectrum. The Wiener filter is preferable to a conventional band‐pass filter because geologic information from the study area can be incorporated to a greater extent in specifying the filter’s transfer function. Our method differs from previous Wiener filtering schemes in that it provides, through direct modeling of known geology (e.g., outcrop and borehole data), a more objective estimate of the signal power spectrum required for defining the transfer function of the filter. We illustrate the technique first with synthetic data, and then with a field example from the southern Paradox basin. The Paradox basin example reveals the limitation inherent to all wavelength filtering which results f...