Parameter sensitivity in seismic net pay workflow

The objective of this paper is to illustrate the relative importance of the controlling factors in estimating seismic net pay from colour-inverted band-limited impedance data. It was achieved by using a new automated implementation of the process, allowing the sensitivity of each of the key controls on the resulting net pay to be found quickly and easily. This automated workflow was run over a synthetic dataset, varying different input parameters. The chi angle and the low frequencies used in building the tuning wedge were found to have the largest effect on the final volume. Using this technique on real datasets could greatly improve understanding of the possible range of pay volumes, reducing risk and highlighting the key input parameters.