A Simulation-Driven Framework for 3D Completion Quality Scoring in Hydraulic Fracturing

Abstract This paper introduces a simulation-driven framework aimed at improving large-scale reservoir screening in hydraulic fracturing. The method integrates static geological and geomechanical attributes (e.g., stress, rock strength, structural features, natural fracture density), along with dynamic fracture behavior derived from ultra-fast simulations at the field scale. Properties such as the containment, conductivity, and geometry of the induced fractures are aggregated into a unified, spatially resolved 3D completion quality cube—a volumetric representation of the reservoir that encodes a composite score at each location. The approach is illustrated through application to a real reservoir scenario, demonstrating its ability to identify favorable regions for stimulation based on both static and dynamic subsurface characteristics.