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Abstract

Structural and stratigraphic discontinuities developed in subsurface, such as channels, faults and fractures, usually contribute to the construction of traps and hydrocarbon reservoirs. Seismic attributes are usually used to characterize the reservoir features. For instance, coherence is an important attribute to measure waveform changes and delineate discontinuities, which allows interpreters to quickly visualize and map complex fault systems. Considering the multi-scale characteristic of seismic data, spectral decomposition is usually used to divide the multi-frequency seismic data to various uni-frequency data, thus to highlight certain scale of geologic structures. Due to attenuation, the dominant frequencies of seismic data usually decrease with depths. Then, extracting spectral components at dominant frequencies may provide more precise perspectives of primary scale of geologic structures. In this abstract, we develop a new strategy to perform discontinuity detection by combining dominant-frequency-optimized spectral decomposition and coherence calculation. Examples demonstrate that this new strategy can detects fault systems accurately, with high resolution and signal to noise ratio. In a word, the application of this new discontinuity detection strategy is an effective way to detect different-scale structural and stratigraphic discontinuity features.

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/content/papers/10.3997/2214-4609.201413122
2015-06-01
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413122
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