Petroleum Science >2020,??Issue 6:??- DOI: https://doi.org/10.1007/s12182-020-00490-6
Inverse spectral decomposition using an lp-norm constraint for the detection of close geological anomalies Open?Access
文章信息
作者：San-Yi Yuan, Shan Yang, Tie-Yi Wang, Jie Qi & Shang-Xu Wang
作者單位：
投稿時間：2020-9-20
引用方式：Yuan, S., Yang, S., Wang, T. et al. Inverse spectral decomposition using an lp-norm constraint for the detection of close geological anomalies. Pet. Sci. (2020). https://doi.org/10.1007/s12182-020-00490-6
文章摘要
An important application of spectral decomposition (SD) is to identify subsurface geological anomalies such as channels and karst caves, which may be buried in full-band seismic data. However, the classical SD methods including the wavelet transform (WT) are often limited by relatively low time–frequency resolution, which is responsible for false high horizon-associated space resolution probably indicating more geological structures, especially when close geological anomalies exist. To address this issue, we impose a constraint of minimizing an lp (0?
關鍵詞
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Spectral decomposition;Seismic interpretation;Inverse problem;High resolution;Deep exploration