Example 1. Improving the vertical resolution of seismic data by fusion of
well-log information & signal-reconstruction (click on the picture to enlarge it).
Seismic signal processing techniques focus on improving signal-to-noise ratio(SNR) and resolution of seismic data from pre-stack throught to post-stack. We have built these techniques as stand-alone software products, and software modules for other commercial products, such as DISCO/Focus by Paradigm Geophysical Ltd and GRISYS by CNPC, according to custumers' requirements.
The following pictures show field data examples by applying our latest techniques. Double click any picture to bring up a full-scale view with annotation.
Example 1. Improving the vertical
resolution of seismic data by fusion of
well-log information & signal-reconstruction (click on the picture to enlarge it).
Example 2. Multi-dimensional homomorphic deconvolution to improve resolution
Example 3. Coherence Noise Reduction by
Pattern Recognition and Signal Processing.
Example 4. De-multipile by Tau-S transform
Example 5. High-resolution velocity analysis by image processing
Example 6. Adaptive SVD (singular value decomposition) for de-noising.
Example 7. Wavelet Transform for Seismic Processing
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