Enhancement of Sparker Data for Sequence Stratigraphic Interpretation
H. Kim, G.H. Lee, S.B. Hwang, B.Y. Lee, Y.H. Yoon, K.O. Kim and H.J. Kim
Event name: 79th EAGE Conference and Exhibition 2017
Session: Seismic Interpretation and Attributes
Publication date: 12 June 2017
Info: Extended abstract, PDF ( 3.15Mb )
Price: € 20
We propose a simple processing flow to enhance the quality of sparker data, which includes, among others, swell filtering, wavelet processing, predictive deconvolution, and F-X filtering. This processing flow was applied to a sparker profile acquired from the shallow-water area off SW Korea. The processing significantly attenuated the short-path and long-path multiples and random noise. Sequence stratigraphic interpretation, which would not have been possible from the initial data that underwent minimal processing, revealed the systems tracts and bounding surfaces.