Time-frequency analysis or spectral decomposition is a technique that allows geophysicists to visualize frequency content of seismic data along a time axis. The technology started as a simple band filtering technique that shows amplitude spectrum at user-defined bandwidth and became a routine technique in modern workflows of seismic interpretation and reservoir characterization. One advantage of this innovative approach over other processing and analysis algorithms is its simplicity and ease of use. In fact, spectral decomposition does not require advanced processing workflows; it can be programmed and run in common open software programs. Over the last decades, numerous techniques of time-frequency analysis and case studies have been published in literature. In this work after introducing the fundamentals behind the most common decomposition methods we show some real examples using Matlab software. We then use commercial software to address challenging seismic data from South Texas to reveal some features of the reservoir that are hidden in the seismic broadband.
|Title of host publication||Oil and Gas Exploration|
|Subtitle of host publication||Methods and Application|
|Number of pages||21|
|Publication status||Published - Jan 1 2017|
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)