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Application of Multidip Structure-Oriented Filtering to Poststack Seismic Data
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DOI：10.1109/LGRS.2025.3542121.png)
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Abstract
En 中文
In geophysics, structure-oriented filtering (SOF) has been extensively utilized as an effective algorithm to eliminate random noise. This type of filtering is mainly restricted by the local dip of the data and smoothed along the structural direction. The algorithm assumes the strata of a single local dip, and even if the seismic data contain strata and faults, the SOF remains smoothed with a single dip angle. This condition leads to the smoothing of faults or strata in the wrong direction, which results in the effective removal of reflected signals. Given this, we herein propose a multidip SOF (Mdip-SOF) algorithm for complex structure data, including faults. This investigation employs a guided filtering theory to pre-extract structural features of faults. Guided by this attribute, we construct an edge-preserving filter, where faults may exist, aiming to preserve faults and other structures. Other positions with a single dip are also adopted for conventional SOF. A poststack data denoising test is also conducted, and the results obtained reveal that the proposed multidip constrained SOF algorithm outperforms the existing SOF algorithm in terms of fault handling.
Keywords:
Filtering
Three-dimensional displays
Noise reduction
Filtering algorithms
Prediction algorithms
Smoothing methods
Filtering theory
Transforms
Heuristic algorithms
Image edge detection
Guided filtering
preserving faults
random noise
structure-oriented filtering (SOF)
Journal
IF:
16.4
Papers:
1.0W
Citations:
5.1K