Computer-assisted stochastic multi-well correlation: Sedimentary facies versus well distality

Computer-assisted stratigraphic correlation can help to produce several scenarios reflecting interpretation uncertainties. In this work, we propose a method which translates sedimentary concepts into cost for each possible stratigaphic correlation. All these costs are used populate matrix in order apply the Dynamic Time Warping algorithm and compute n-best sets having n-least cumulative costs. The proposed function reflects prior knowledge about sediment transport direction, it is tested on two wells penetrating Middle Jurassic reservoir North Sea. Well markers described by parameters: (1) facies corresponding depositional environment, (2) relative distality of well computed from its position along direction. main principle article assumes that marker (described distality) cannot be correlated with another depositionally deeper at more proximal position, or shallower distal position. This approach produces consistent correlations, highlights sensitivity solution zonation distality. Therefore, rule offers way coherently consider chronostratigraphic associated uncertainties parasequence scale, i.e., smaller scale than generally considered deterministic