Time-Lapse Seismic Processing Algorithms

Reduce processing turnaround time with custom workflows that address issues specific to your monitor survey datasets

We offer a suite of algorithms for time-lapse seismic processing that perform wavelet matching, spatial regularization, and survey matching to address the issues identified by the initial and comprehensive QC steps. The workflows created from these algorithms are customized for your data to help you monitor fluid migration faster throughout the production life cycle.

Wavelet matching

Wavelet matching algorithms are handled deterministically, where possible, with residual matching by statistical methods. Constrained and frequency-variant matching algorithms can be applied as global operators or as local filters with appropriate smoothing. Frequency-variant operators can be constrained to operate only over the bandwidth in which the surveys differ. This ensures that the surveys have very similar wavelets by the end of the processing flow.

Spatial regularization

Efficient interpretation of time-lapse seismic datasets requires that equivalent traces of those datasets have identical spatial coordinates. Our multidimensional regularization algorithms accurately interpolate the prestack data from their acquired midpoint locations to an identically sampled grid for each survey. Time-lapse binning ensures that the regularized datasets are created from the best repeated trace pairs of the base and monitor surveys.

Acquisition geometry errors or inaccurate navigation data are compensated by spatial repositioning and offset error correction workflows. These ensure that nominally collocated traces are indeed in the same spatial locations.

Survey matching

Survey amplitude, timing, and phase attributes vary across each survey and are identified and compensated for using our flexible attribute decomposition algorithms or by normalized root mean square (NRMS) scanning. These processes are frequently crucial to ensuring that acquisition variability does not obscure the 4D signal.

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