Abstract

Seismic interpretation plays a vital role in understanding subsurface geology, particularly for identifying structural and stratigraphic features crucial to hydrocarbon exploration. Traditional seismic attributes such as RMS amplitude, envelope, and instantaneous frequency provide valuable insights but often fall short in resolving subtle geological features due to limitations in capturing localized energy variations. The Teager-Kaiser (TK) energy attribute, derived from nonlinear signal processing, offers a powerful alternative by simultaneously incorporating both amplitude and frequency components to estimate the instantaneous energy of a seismic signal. This attribute is especially sensitive to rapid signal fluctuations, making it highly effective in highlighting, channel boundaries, fault edges, and fluid-sensitive zones. Thus, TK attributes represent a robust and efficient tool for advanced seismic interpretation in both clastic and carbonate settings.