3D seismic image processing for better interpretation
Colorado School of Mines
I will present novel image processing methods to automatically extract faults, unconformities, and horizon surfaces from 3D seismic images. Faults and horizons are important for seismic structural interpretation because they provide structural maps of the subsurface. Horizons and unconformities are important for seismic stratigraphic interpretation because they form a chronostratigraphic framework. All these geologic surfaces can be useful for seismic lithology interpretation because they can provide geologically reasonable control for extrapolating a lithology interpretation away from wells. I will also present some automatic methods for joint interpretation of seismic and well-log data. Multiple well logs are first simultaneously tied to seismic, and then are used as constraints for an image-guided acoustic impedance inversion method to generate a relative impedance volume that honors both seismic and well-log data.
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