Abstract: A method can include accessing a finite element cell grid in a depositional space for a geologic environment, where finite element topological cells spatially overlap in a region of the depositional space that includes a discontinuity; processing the finite element topological cells using one or more scalar fields to generate depositional grid cells, where each of the depositional grid cells includes a surface defined by the discontinuity and at least one surface defined by at least one of the one or more scalar fields; and assigning one or more physical properties to each of the depositional grid cells to generate a computational model that characterizes the geological environment.

Abstract: A method can include embedding a discontinuity as an object in a three-dimensional hexahedral grid that includes hexahedral cells and represents a geologic environment; cutting a number of the hexahedral cells by intersecting the object and the three-dimensional hexahedral grid to identify cut cells; constructing a topological three-dimensional hexahedral grid using a topology for the cut cells that includes spatially overlapping hexahedral cells and associated cut cell-face links; and generating results that characterize the geologic environment with the discontinuity using a system of equations that represent the geologic environment and the topological three-dimensional hexahedral grid.

Abstract: A method can include accessing a depogrid generated via gridding of a structural model in a depositional space and transforming the gridded structural model to a geological space via an inverse mapping where the structural model represents structural features in a subterranean environment based at least in part on data acquired via at least one sensor; determining local u, v and w axes for a plurality of cells in the depogrid via volumetric centroids and vertices represented by coordinates in a depositional space coordinate system (u, v, w) and by coordinates in a physical coordinate system (x, y, z); defining directional geological grid properties based at least in part on the local u, v and w axes; and simulating physical phenomena of the subterranean environment via a simulator based at least in part on at least a portion of the directional geological grid properties.

Abstract: A method can include accessing a depogrid generated via gridding of a structural model in a depositional space and transforming the gridded structural model to a geological space via an inverse mapping where the structural model represents structural features in a subterranean environment based at least in part on data acquired via at least one sensor; determining local u, v and w axes for a plurality of cells in the depogrid via volumetric centroids and vertices represented by coordinates in a depositional space coordinate system (u, v, w) and by coordinates in a physical coordinate system (x, y, z); defining directional geological grid properties based at least in part on the local u, v and w axes; and simulating physical phenomena of the subterranean environment via a simulator based at least in part on at least a portion of the directional geological grid properties.