Recognition of sub-resolution stacking patterns from seismic data

Geological modeling and characterization of energy reservoirs greatly relies on the interpretation of seismic data due to its high spatial availability. Owing to many factors, including subsurface complexities, heterogeneity and limited seismic resolution, accurate description of subsurface geological configuration becomes a major challenge. This research is focused on quantitative interpretation of individual seismic traces and extraction of information relevant to recognition of various geological parasequences.  The workflow proposed includes stochastic modeling of stratigraphic patterns involving thin sub-resolution beds, and subsequent application of statistical pattern recognition techniques to deduce those patterns from their respective acoustic responses. Riyad Muradov