Abstract：
Accurate salt dome detection from 3D seismic data is crucial to different seismic data analysis applications. We present a new edge based approach for salt dome detection in migrated 3D seismic data. The proposed algorithm overcomes the drawbacks of existing edge-based techniques which only consider edges in the x (crossline) and y (inline) directions in 2D data and the x (crossline), y (inline), and z (time) directions in 3D data. The algorithm works by combining 3D gradient maps computed along diagonal directions and those computed in x, y, and z directions to accurately detect the boundaries of salt regions. The combination of x, y, and z directions and diagonal edges ensures that the proposed algorithm works well even if the dips along the salt boundary are represented only by weak reflectors. Contrary to other edge and texture based salt dome detection techniques, the proposed algorithm is independent of the amplitude variations in seismic data. We tested the proposed algorithm on the publicly available Netherlands offshore F3 block. The results suggest that the proposed algorithm can detect salt bodies with high accuracy than existing gradient based and texture-based techniques when used separately. More importantly, the proposed approach is shown to be computationally efficient allowing for real time implementation and deployment.
The work presented in this paper has been supported by the Center for Energy and Geo Processing (CeGP) at King Fahd University of Petroleum & Minerals (KFUPM), under Project no. GTEC 1401-1402.
引用本文:
Asjad Amin and Mohamed Deriche. 三维多方向边缘探测技术识别盐丘的新方法[J]. 应用地球物理, 2015, 12(3): 334-342.
Asjad Amin and Mohamed Deriche. A new approach for salt dome detection using a 3D multidirectional edge detector[J]. APPLIED GEOPHYSICS, 2015, 12(3): 334-342.
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