How to Remedy Non-optimal Seismic Data by Seismic Processing

Seismic data processing mostly takes into account the statistics inherent in the data to improve the data quality. Since some years the deterministic approach for processing shows many advantages. This approach takes into account e.g., the source signature, with the knowledge of its amplitude andphase behavior. The transformation of the signal into an optimizedform is calledwavelet processing. By this step an optimal input for deconvolution can be produced, which needs a minimumdelay signal to function well. The interpreter needs a signal which gives the optimum resolution, which is accomplishedby the zero-phase transformation of the input signal. The combination of different input sources such as Vibroseis and Dynamite requires a phase adoption. All these procedures can be implemented via Two-Sided-Recursive (TSR-) filters. Spectral balancing can be accomplished very effectively in time domain after a minimum delay transform of the input signals. The DEKORP data suffer from a low signal/noise ratio, so that special methods for the suppression of coherent noise trains were developed. This can be done by subtractive coherency filtering. Multiple seismic reflections also can be suppressedby this methodvery effectively. All processing procedures developedd uring recent years are now fully integratedin commercial software operatedby the processing center in Clausthal.