Structure-constrained relative acoustic impedance using stratigraphic coordinates |

Post-stack impedance inversion involves the assumption that seismic traces can be modeled using the convolutional and vertical-incidence reflection-coefficient equations. In the presence of dipping layers, these assumptions are false, and therefore seismic-derived acoustic impedance can be biased. To solve this problem, I have employed the stratigraphic coordinate system, which offers a local reference frame extracted from the seismic image and naturally designed to sample the unbiased normal incidence seismic traces, and hence yield more accurate impedance estimates.

Performance of the stratigraphic coordinate system is based on the predictive-painting algorithm, which produces the best results when seismic traces can be predicted from neighboring traces. Note that the predictive painting approach may require further improvements to deal with areas where either structural or stratigraphic discontinuities are present. Future research should concentrate on using a small number of control points especially near discontinuities interactively in the predictive painting algorithm to make sure that the events across structural or stratigraphic discontinuities are accurately captured.

Structure-constrained relative acoustic impedance using stratigraphic coordinates |

2015-05-06