Illuminating imperfections of imaging inversion

Various types of imaging inversion are of significant benefit for extracting subtle information from seismic data. But the methods are can produce significant errors in some situations. We present several examples of imaging inversion imperfections that illuminate how one must be careful with inversion. We suggest methods to analyze the reliability of inversion. We propose that using these methods to produce reliability& uncertainty information from inversion can be as important as the inversion result itself. Our examples are from sparsity inversion signal enhancement, imaging illumination compensation, velocity inversion, and impedance inversion.