Abstract:
Techniques including methods, apparatus and computer program products are disclosed. These techniques include computer instructions that are encoded on computer storage media for determining wettability. The techniques use a numerical aging computation process to provide a representation of a wettability alteration of a physical rock sample in the presence of at least two fluids is disclosed. The techniques include retrieving a representation of a physical rock sample, the representation including pore space and grain space data corresponding to the physical rock sample, calculating local curvature for each surface in the pore space, determining from the calculated local curvature whether water-film breakage will occur, and classifying the wettability of the physical rock based on the determination of water-film breakage.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of an electro-thermal battery model. One of the methods includes obtaining battery data comprising voltage values, with each voltage value corresponding to an operating state of the battery. The method includes selecting a battery model having convex parameters and non-convex parameters. The method includes processing the battery data by performing a fitting procedure to determine values of the convex parameters and non-convex parameters. The fitting procedure includes fitting the convex parameters with respect to the battery data during which the non-convex parameters are held fixed. The fitting procedure includes fitting the non-convex parameters with respect to the battery data. The fitting procedure also includes creating an electro-thermal model for a battery from the selected battery model using the fitted values.
Abstract:
A system and method for automatically detecting and tracking time and space variations of flow structures in order to locate and characterize the flow structures which produce noise and to quantify the corresponding acoustic radiation properties. A system and method for automatically detecting and tracking time and space variations of flow structures in order to locate and characterize the flow structures which produce noise and to quantify the corresponding acoustic radiation properties is described herein.
Abstract:
A fluid flow is simulated by causing a computer to perform operations on data stored in the memory to compute at least one eddy of a fluid flow at a first scale (410) and perform operations to compute at least one eddy of the fluid flow at both the first scale (410) and a second scale (420). The second scale is a finer scale than the first scale, and the computation of the at least one eddy of the fluid flow is constrained by results of the computation of the at least one eddy of the fluid flow at the first scale (420)
Abstract:
A system and method for simulating activity of a fluid in a volume that represents a physical space, the activity of the fluid in the volume being simulated so as to model movement of elements within the volume. The method includes at a first time, identifying a first set of vortices in a transient and turbulent flow. The method includes at a second time that is subsequent to the first time, identifying a second set of vortices. The method includes tracking changes in the vortices by comparing the first set and the second set of discrete vortices. The method includes identifying one or more noise sources based on the tracking. The method includes determining the contribution of one or more noise sources at a receiver. The method also includes outputting data indicating one or more modifications to one or more geometric features of a device or an entity.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data in a data processing system to identify candidate modifications to physical features of a mechanical device. One of the methods includes converting a representation of the mechanical device into a representation of surface elements. The method includes that based on the representation of the surface elements, computing an effect to evaluation criteria of each of a design variable. The method includes converting the design variables and the computed effect into component vectors. The method includes computing a composite design vector for the evaluation criteria using the component vectors, with the composite design vector comprising a combination of design variable settings to improve the evaluation criteria, and specifying a vector in a design variable space. The method also includes generating a physical modification specification for the mechanical device based on the composite design vector.
Abstract:
A computer-implemented method for simulating fluid flow using a lattice Boltzmann (LB) approach that includes assigning values for the wall shear stress on a per-facet (e.g., per-surfel) basis based on whether the fluid flow is laminar or turbulent is described herein. This description relates to computer simulation of physical processes, such as fluid flow and acoustics. This description also relates to a method for predicting the phenomena of laminar-to-turbulent transition in boundary layers.
Abstract:
Simulating a physical process [Fig. 3, item 302] includes storing, in a computer-accessible memory, state vectors for voxels, where the state vectors correspond to a model and include entries that correspond to particular momentum states of possible momentum states at a voxel. Interaction operations are performed on the state vectors. The interaction operations model interactions between elements of different momentum states according to the model. Move operations performed on the state vectors reflect movement of elements t new voxels according to the model [Fig. 3, items 310, 314; Fig. 13, items 1318, 1338, 1340]. The model is adapted to simulate a high-Knudsen number flow that has a Knudsen number greater than O. 1.
Abstract:
A computer implemented method for simulating a physical process (100). The method includes storing in a memory a state vector for each of a number of voxels (106). Each state vector includes a plurality of integers, each of which corresponds to a particular momentum state of a number of possible momentum states at a voxel and represents the number of elements having the particular momentum state. Each integer has more than two possible values. The method also includes performing interaction operations on the state vectors that model interactions between elements of different momentum states (120-134), performing viscosity modification operations on the state vectors to change the viscosity of the simulated physical process (136-148), and performing move operations on the state vectors that reflect movement of elements to new voxels (114).