Speaker: Paul Baville
Date: Thursday 16th of September 2021, 1:15 pm.
Abstract:
Assisted well correlation aims at complementing sedimentological expertise with computational rigor to increase automation, improve reproducibility and assess uncertainties during stratigraphic correlation. We propose a computer-assisted method which automatically generates possible well correlations based on facies interpretation, dipmeter data and prior knowledge about depositional environments. Facies interpretation and dipmeter data may be used to interpolate three-dimensional surfaces using the three-dimensional Bézier cubic curves between pairs of well markers and triangular Bézier cubic patches between triplets of well markers. These curves and surfaces are compared to a theoretical depositional profile generated from depositional environment knowledge by computing the area between the curves and the profile, or the volume between the patches and the profile. These areas and volumes may be linked to the likelihood of each possible correlation (the higher the area or the volume, the lower the correlation likelihood). Well correlations are computed using correlation costs between all possible marker combinations aggregated by the Dynamic Time Warping algorithm. The proposed method is briefly tested on a synthetic data set and the first results are consistent with respect to the data set but are highly sensible to the order of wells.