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 model of a subterranean region where the model includes a fault that corresponds to a fault in the subterranean region; via a first side of the fault, outwardly radiating therefrom cells of the model with a first type of radiation and, via a second, opposing side of the fault, outwardly radiating therefrom cells of the model with a second type of radiation; and, based at least in part on the outwardly radiating of the first type of radiation and the outwardly radiating of the second type of radiation, assigning a portion of the cells of the model a sidedness property value with respect to the fault that indicates that each cell in the portion of the cells is assigned to the first side of the fault or assigned to the second side of the fault.

Abstract: A method can include accessing a model of a subterranean region where the model includes a fault that corresponds to a fault in the subterranean region; via a first side of the fault, outwardly radiating therefrom cells of the model with a first type of radiation and, via a second, opposing side of the fault, outwardly radiating therefrom cells of the model with a second type of radiation; and, based at least in part on the outwardly radiating of the first type of radiation and the outwardly radiating of the second type of radiation, assigning a portion of the cells of the model a sidedness property value with respect to the fault that indicates that each cell in the portion of the cells is assigned to the first side of the fault or assigned to the second side of the fault

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 for predicting regional stress of a subsurface volume includes obtaining a model matrix of the subsurface volume representing a relationship between a modeled fault slip result generated by a model and a boundary condition applied to the model, the boundary condition having a regional stress attribute and a fault friction attribute, calculating, using the model, the modeled fault slip result based on a selected value of the stress attribute and a selected value of the friction attribute, calculating a cost function representing a difference between the modeled fault slip result and a measurement of the subsurface volume, and minimizing the cost function by iteratively adjusting at least the selected value of the stress attribute to generate a prediction of the regional stress of the subsurface volume.