Translations:Interpretive processing/9/en

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Interpretive processing is a method for enhancing the images (e.g., the depth-migrated records) provided by seismic processing to better reveal the overall geology or particular aspects of the geology. Interpretive processing comes under the heading of image enhancement. Generally speaking, interpretive processing involves principles of seismic waves and principles of deterministic and statistical imaging and of time-series analysis (Anderson et al., 1985[1]; Robinson, 1986[2], 1998a[3], 1998b[4], 2003[5]; Brillinger et al., 2004[6]).

  1. Anderson, O. D., J. K. Ord, and E. A. Robinson, 1985, Time series analysis, theory and practice, hydrological, geophysical, and spatial applications: Elsevier.
  2. Robinson, E. A., 1986, Image reconstruction in exploration geophysics, in H. Lee and G. Wade, eds., Modern acoustic imaging: IEEE Press, 285-296.
  3. Robinson, E. A., 1998a, Holistic migration: The Leading Edge, 17, no. 3, 313-320.
  4. Robinson, E. A., 1998b, Extended resolution by 3-D holographic seismic imaging: Proceedings of the Offshore Technology Conference, OTC 8677, 177-185.
  5. Robinson, E. A., 2003, Refinement of deconvolution by neural networks, in W. Sandham and M. Leggett, eds., Geophysical applications of artificial neural networks and fuzzy logic: Modern approaches in geophysics, 2003, 21, 57-70.
  6. Brillinger, D. R., E. A. Robinson, and F. P. Schoenberg, 2004, Time series analysis and applications to geophysical systems: Springer Verlag.