Abstract: Improved magnetic component models, circuit simulation systems and methods are presented for simulating operation of a modeled magnetic circuit component in which user input defines magnetically susceptible core geometry of the modeled magnetic circuit component, a core model simulates operation of the magnetically susceptible core at least partially according to the geometry of the magnetically susceptible core, and one or more coil models simulate operation of coils wound around the magnetically susceptible core to provide a scalable model with geometry adjustable permeability for fluxgate magnetic sensors, transformers, inductors or other modeled components.

Abstract: Methods and devices for correcting centering parameters and/or an axial position of a spherocylindrical refraction on the basis of a habitual head position are disclosed. A representation of the head of a user in a head posture or a representation of the head with a spectacle frame in a spectacle frame alignment are displayed. To correct the spectacle parameter based on a corrected head posture and/or a corrected spectacle frame alignment, the corrected head posture and/or the corrected spectacle frame alignment is determined by at least partially manually correcting a head posture in the displayed representation of the head and/or of the spectacle frame alignment in the displayed representation of the head with the spectacle frame. A representation of the head of a user is shown on a display, thereby allowing intuitive adjustment of a habitual head position.

Abstract: A requirements knowledge graph may include nodes for different elements of a requirement's relationship to physical characteristics, such as the requirement and the associated unsafe conditions, control objects, and hazards. A connection between nodes may define a relationship between the corresponding elements. The requirement, that is decomposed into a subject, an object, a predicate, and a context, may define a rule for the control object in the unsafe condition to avoid the hazard. A model for a plan (e.g., drilling plan for a well, design for a drilling tool) may be constructed based on the requirements knowledge graph. The plan may be generated based on the model.

Abstract: To easily generate a dynamic model for performing a dynamic simulation of a plant, an apparatus, a method and a program are provided, the apparatus including a static model acquiring unit configured to acquire a static model indicating a steady state of the plant, a piping and instrumentation diagram data acquiring unit configured to acquire piping and instrumentation diagram data of the plant, and a matching unit configured to match a device included in the static model with a device included in the piping and instrumentation diagram data to identify a device-to-device correspondence relation.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: A method to create a simulation of a shearing process for a ram blowout preventer (BOP) comprising the steps of building a 3D digital model of the ram BOP including damage parameters based on generic material properties of the ram BOP; inputting the 3D digital model of the ram BOP into a damage model; and simulating the shearing process using the 3D digital model of the ram BOP and the damage model.

Abstract: An illustrative geologic modeling method may comprise: obtaining a geologic model representing a subsurface region in physical space, the subsurface region being divided into multiple zones; sequentially generating a physical space simulation mesh for each of said multiple zones by: (a) mapping a current zone of the physical space geologic model to a current zone of a design space model representing a current zone of an unfaulted subsurface region; (b) gridding the design space model to obtain a design space mesh; (c) partitioning cells in the current zone of the design space mesh with faults mapped from the current zone of the physical space geologic model, thereby obtaining a partitioned design space mesh for the current zone; and (d) reverse mapping the partitioned design space mesh for the current zone to the physical space for the current zone.

Abstract: A method includes generating a workspace model having a robot based on at least one of an environment parameter and a regulated space. The workspace model is a digital model of a workspace. The method includes simulating a sensor operation of a sensor within the workspace model based on sensor characteristics of the sensor. The method includes identifying an undetectable area within the workspace model having the robot based on the simulated sensor operation. The method includes determining whether the undetectable area satisfies one or more detection metrics. The method includes performing a sensor placement control in response to the undetectable area not satisfying the one or more detection metrics to obtain a sensor placement scheme of the workspace. The sensor placement scheme identifies an undetectable area within the workspace when applicable.

Abstract: Provided is a method of managing design bases applied to a nuclear power plant in an integrated manner by using a building information model so that design bases attributes are precisely provided to a subsequent design by using a design bases information layer to ensure consistency between design drawings.

Abstract: Provided is an integrated steep slope collapse simulation system including: a base; a tower provided at one end of the base; a soil tank structure having one side being connected to the tower so that the soil tank structure is inclined, the soil tank structure being filled with soil, and the soil being rammed; a work platform provided with a working stand moving along the base and moving up and down; a soil moving device supplying soil to an interior of the soil tank structure; an artificial rainfall device provided above the soil tank structure, the artificial rainfall device injecting water downward toward the soil rammed inside the soil tank structure; and an underground water reproduction device injecting water upward through the bottom surface of the soil tank structure from the underside of the soil rammed in the soil tank structure. There is an effect that it is possible to accurately analyze an actual behavior of soil in the natural environment.

Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

Abstract: An apparatus for designing a structural product is provided. The apparatus accesses a computer-aided design (CAD) model that represents a first design of the structural product by a first geometry and accesses a finite element method (FEM) model that represents a second design of the structural product by a mesh of elements arranged in a second geometry. The apparatus performs a comparison of the CAD model and the FEM model to determine a similarity between the first geometry and the second geometry and produces a resulting FEM model based on the similarity, and that represents the first design of the structural product. The apparatus performs a finite element analysis on the resulting FEM model and performs a classical analysis to evaluate the first design of the structural product, produces an output based on the classical analysis, and displays the output to facilitate design of the structural product.

Abstract: Systems and methods are disclosed for associating a standard numerical age to an attribute of geological data from disparate locations. Exemplary implementations may include generating a standardized geological age dataset by standardizing geological data to a global reference age based on a dimension of the geological data, a local geotemporal marker, and a dimension to age function; and storing the standardized geological age dataset.

Abstract: A method for monitoring turbines of a windmill farm includes: providing a global nominal dataset containing frame data of the turbines of the windmill farm and continuous reference monitoring data of the turbines for a first period in a fault free state, the reference monitoring data including at least two same monitoring variables for each turbine; building a nominal global model based on the global nominal dataset which describes the relationship in between the windmill turbines and clustering the turbines according thereto; assigning the data of the global nominal dataset to respective nominal local datasets according to the clustering; and building a nominal local model for the turbines of each cluster based on the respective assigned nominal local datasets, the nominal local model being built such that a nonconformity index is providable which indicates a degree of nonconformity between data projected on the local model and the model itself.

Abstract: A method of stimulating a subterranean formation includes acquiring stimulation treatment input data, simulating a transport of at least one material transport present in a stimulation treatment design with a transport simulator model, determining and preparing the treatment design and performing the stimulating treatment according to the selected treatment design. As recited, simulating includes assuming that for each time stage of the stimulation treatment a velocity field for the at least one material transport and a stimulated flow domain geometry are known and calculating at each time stage the distribution of at least one physical quantity of the at least one material transport using a Lagrangian approach.

Abstract: Embedded convolutional data modeling is disclosed. A machine receives, as input, a plurality of data examples. The machine generates an embedded convolutional data model for the data examples. The machine outputs a source code for the model.

Abstract: A computer-implemented method for inverse simulation of a plurality of fibers. The method comprises: providing a computational model for describing mechanical behavior of fibers; obtaining target geometry information describing a target configuration or dynamical behavior of the plurality of fibers; and inverse simulating the behavior of the plurality of fibers, using the computational model and the target geometry information, to calculate a target set of fiber mechanical parameters for the plurality of fibers. Fibers with the calculated target set of fiber mechanical parameters exhibit the target configuration or dynamical behavior. In some embodiments, the inverse simulation comprises using analysis-by-synthesis to help derive the target set of fiber mechanical parameters. In some embodiments, the inverse simulation uses a neural network to infer information about fiber mechanical parameters from the target geometry information. The invention also provides a method of training the neural network.

Abstract: Computer implemented method, system and computer program product for simulating the behavior of a knitted fabric at yarn level. The method comprises: retrieving structural information of a knitted fabric; representing each stitch with four contact nodes (4) at the end of the two stitch contacts (5) between pair of loops (2), each contact node (4) being described by a 3D position coordinate (x) and two sliding coordinates (u, v) representing the arc lengths of the two yarns in contact; measuring forces on each contact node (4) based on a force model including wrapping forces to capture the interaction of yarns at stitches; calculating the movement of each contact node (4) at a plurality of time steps using equations of motion derived using the Lagrange-Euler equations, and numerically integrated over time, wherein the equations of motion account for the mass density distributed uniformly along yarns, as well as the measured forces and boundary conditions.

Abstract: A system can include an individual workspace well design application that includes a graphical user interface that includes selectable graphical elements corresponding to subsystems of a wellsite system and graphical alert elements; a collaborative workspace well design application operatively coupled to the individual workspace well design application; and well design evaluators operatively coupled to the individual workspace well design application and the collaborative workspace well design application where the evaluators receive and analyze design parameters associated with one or more subsystems of a wellsite system to control transmission of one or more alerts that activate one or more graphical alert elements of the individual workspace well design application.

Abstract: Methods, systems, and computer storage media are disclosed for determining electric energy flow predictions for electric systems including photovoltaic solar systems. In some examples, a method is performed by a computer system and includes supplying a consumption time series and a predicted production time series for an electric system to a machine-learning predictor trained during a prior training phase using electric energy consumption training data and photovoltaic production training data. The consumption time series has a first data resolution, and the electric energy consumption training data and the photovoltaic production training data have a second data resolution greater than the first data resolution. The method includes determining, using an output of the machine-learning predictor, a predicted import time series of electric import values each specifying an amount of electric energy predicted to be imported by the electric system with a prospective photovoltaic solar system installed.