Abstract: A method for determining a concentration of solid particles in a drilling fluid. The method comprises determining, based on a received dimension of a section of a fracture, a plurality of wirelines each having a diameter. For each wireline, the method determines if a solid particle or a part of a fluid is in the current wireline. If it is determined that a solid particle is in the wireline, then determining whether the current wireline is sealed. These steps are reiterated. The method further comprises determining a volume of injected fluid into the fracture and comparing the determined volume with a reference to determine if a fracturing criterion is met. If the fracturing criterion is met, it is possible to modify the current concentration of solid particles.

Abstract: Methods and apparatus provide for, at each of plural calculation timings, associating pieces of position information indicating the positions of objects in a virtual space at the calculation timing with leaves and creates a complete binary tree in which position information reflecting pieces of the position information of child nodes is associated with an internal node, and a node shuffling section that shuffles 2·2n (n?1) child nodes regarding each group of 2n nodes on the basis of the position information associated with each of the 2·2n child nodes belonging to the 2n nodes in each layer sequentially from the immediately-upper layer of the lowermost layer in the complete binary tree; and carrying out collision determination between objects by using the complete binary tree resulting from the shuffling by the node shuffling section.

Abstract: A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.

Abstract: The present disclosure provides a method and a device for solving an optimal power flow in a power supply system. A second convex model of the optimal power flow is established. A relaxation variant sum e according to the second convex model is determined. It is judged whether the relaxation variant sum e is greater than a preset threshold. If the relaxation variant sum e is greater than the preset threshold, the second convex model of the optimal power flow is established. If the relaxation variant sum e is not greater than the preset threshold, the solution of the second convex optimal model is determined as a feasible solution of the optimal model of the optimal power flow.

Abstract: A method can include asynchronously receiving a well trajectory as part of a well plan, a fluid plan as part of the well plan and a bottom hole assembly plan as part of the well plan where the well trajectory is based at least in part on information associated with a geologic environment; asynchronously determining coherency metrics as to dependencies between the well trajectory, the fluid plan and the bottom hole assembly plan; and, based at least in part on the coherency metrics, issuing one or more messages that call for adjusting one or more of the well trajectory, the fluid plain and the bottom home assembly plan.

Abstract: Provided is a monitoring device capable of easily ascertaining an abnormality. A monitoring device comprises: an acquisition unit which acquires actual operation data (53a) from a control device which controls an actual machine; a storage unit which stores reference operation data indicating reference operation of the actual machine, first related information and second related information; a timing chart generation unit which generates an actual operation timing chart and a reference operation timing chart, and displays the timing charts on a display device; and a simulation data generation unit which generates simulation data of a reference image and a real image.

Abstract: A solar design generation system is configured to design a solar panel or photovoltaic (PV) system for the roof of building. A server includes processing circuitry configured to receive information from a remote device, including an address corresponding to a building having a roof, automatically generate a solar design in real time based on the received information, and display the solar design to a user. The user can interact with the solar design in various ways to accommodate, implement and calculate various design changes, design rules and electricity generation (production) estimates.

Abstract: This application discloses a design system implementing tools and mechanisms to receive three-dimensional design data corresponding to a wire harness from a mechanical design tool. The tools and mechanisms can identify the three-dimensional design data includes a geometric description of one or more rigid or inflexible components in the wire harness, and convert or flatten the three-dimensional design data into a two-dimensional representation of the wire harness, such as a two-dimensional layout of the wire harness, which conforms with the geometric description of the one or more rigid or inflexible components in the wire harness.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.

Abstract: A method for modeling an environment with a risk of nuclear contamination comprising steps of: acquiring, using a detector (10) and through a 3-dimensional displacement of the detector in the environment, information related to the topography of the environment and radiological measurement data of the environment, and then via a computer processing unit (20), associating the radiological measurement data with location data in the environment, the location data having been deduced from path data of the detector, incrementially creating, using the information and via the computer processing unit: at least one matrix in which topographic data of the environment and the radiological data associated with the location data are compiled, and a 3-dimensional mapping representing the environment in which the topographic data and the radiological data are jointly represented.

Abstract: Embodiments include techniques for estimating unknown or missing values for parameters of a motor based on high-level motor information and using the estimated parametric values in generating an executable model for modeling the behavior of the motor. An aspect of the techniques involves assumptions used to establish the predetermined parametric values that are applied to the algorithm for deriving estimates of the unknown parametric values for the motor. The estimated parametric values may then be used in the executable model of the motor to enable development and simulation of a plant (e.g., a closed loop system) including a plant model having a dynamic controller model and a lumped parameter model of a modeling environment of a technical computing environment executing on a data processing system. The simulation of the plant loop can be sufficient to test the dynamic (e.g., feedback-based) controller within a closed loop system, e.g., test motion control of a motorized vehicle seat.

Abstract: Aspects of a local lagged adapted generalized method of moments (LLGMM) dynamic process are described herein. In one embodiment, the LLGMM process includes obtaining a discrete time data set as past state information of a continuous time dynamic process over a time interval, developing a stochastic model of the continuous time dynamic process, generating a discrete time interconnected dynamic model of local sample mean and variance statistic processes (DTIDMLSMVSP) based on the stochastic model, and calculating a plurality of admissible parameter estimates for the stochastic model using the DTIDMLSMVSP. Further, in some embodiments, the process further includes, for at least one of the plurality of admissible parameter estimates, calculating a state value of the stochastic model to gather a plurality of state values, and determining an optimal admissible parameter estimate among the plurality of admissible parameter estimates that results in a minimum error among the plurality of state values.

Abstract: There is provided a data analysis apparatus, comprising an event occurrence setting module configured to cause a prescribed event to occur in a simulation for a work order that includes a process at which the prescribed event is to occur an event occurrence detection timing setting module configured to store an event occurrence detection timing indicating a time period between an occurrence of an event and detection of the event, a simulation executing processing module configured to execute a simulation when an occurrence of the event is detected, the simulation executing processing module being configured to execute a simulation that reflects an effect on the process when the event is addressed in accordance with the event occurrence detection timing recorded in the storage module, and a KPI calculating module configured to calculate a KPI of the process for the event occurrence detection timing, based on results of the simulation.

Abstract: Methods, systems, and techniques for detecting at least one of an influx event and a loss event during well drilling involve using one or both of errors between 1) estimated and measured pit volume, and 2) estimated and measured flow out, to identify or determine whether the influx or loss event is occurring, or to sound some other type of related alert. These determinations may be performed in a computationally efficient manner, such as by using one or both of a time and depth sensitive regression.

Abstract: The invention is a method for operating a hydrocarbon deposit by injection of gas in foam form, comprising determining a model of displacement of the foam which is a function of an optimal mobility reduction factor of the gas and at least one interpolation function dependent on a parameter and constants to be calibrated. The mobility reduction factor of the gas is determined and the constants of at least one interpolation function are calibrated from experimental measurements comprising injections of gas in non-foaming form and in foam form into a sample of the deposit for different values of the parameter relative to the function being considered. Measurements of headloss corresponding to each value of the parameter of the interpolation function are considered. The calibration of the constants is performed interpolation function by interpolation function.

Abstract: A computing device provides distributed estimation of an empirical distribution function. A boundary cumulative distribution function (CDF) value is defined at a start of each region of a plurality of regions. An accuracy value is defined for each region. (a) First equal proportion bins are computed for a first sample of a first marginal variable using the defined boundary CDF value for each region. (b) Second equal proportion bins are computed for the first sample of the first marginal variable within each region based on the defined accuracy value for each region. (c) The computed second equal proportion bins are added as an empirical distribution function (EDF) for the first marginal variable. (d) (a) to (c) are repeated for each remaining sample of the first marginal variable. (e) (a) to (d) are repeated with each remaining marginal variable of a plurality of marginal variables as the first marginal variable.

Abstract: A method for determining a torsional moment of a wheel set shaft of a rail vehicle during the operation of the rail vehicle is used for a wheel set shaft having two wheels secured to ends of the shaft for rolling on two rails. A model is used to calculate a torsional moment which acts on the wheel set shaft, and the model is based on a torsional vibration of the wheel set shaft at a specified slip action point. The torsional moment acting on the wheel set shaft is ascertained based on the energy of the torsional vibration of the wheel set shaft at the slip action point and based on a damping energy which acts on the torsional vibration of the wheel set shaft.

Abstract: A method and apparatus for simulating spectral representation of a region of interest is disclosed. In one embodiment, the method comprises determining a physical characteristic of a geospatial portion of the region of interest, associating the determined physical characteristic with a material of a spectral library, the spectral library having at least one spectral definition material, associating the spectral definition of the material with the geospatial portion of the region of interest, wherein the material is at least partially representative of the geospatial section of the region of interest, and generating the simulated spectral representation of the region of interest at least in part from at least the associated spectral definition of the at least one material.

Abstract: The invention is a method for exploring and exploiting a fluid in a subterranean formation comprising a network of fractures. On the basis of measurements of properties relating to the formation, a meshed representation of the formation, and statistical parameters relating to the network of fractures, each mesh of the meshed representation is broken down into at least one unfractured matrix block and an equivalent permeability tensor of the network of fractures in the mesh concerned is determined. A matrix block characteristic dimension is then determined according to a relation that is a function at least of the eigenvalues of the equivalent permeability tensor. Based on the meshed representation, the characteristic dimension and a flow simulator, there is defined an optimum exploitation scheme for the fluid of the formation and said fluid is exploited as a function of the optimum exploitation scheme.

Abstract: Apparatus and associated methods relate to computerized system for predicting the quantity of oil and/or gas production at an oil site, where a prediction curve for oil and/or gas data transitions from a first fitted curve (e.g., a hyperbolic decline curve) to a second fitted curve (e.g., an exponential decline curve) at a transition point, the transition point being determined by progressively/iteratively identifying curvature changes in the first fitted curve over an initial time period by comparing a running list of terminal decline rates (Dmin) with a predetermined curvature threshold, and setting the occurrence of the transition point at the point where the rate of change of the terminal decline rate is less than the predetermined curvature threshold. In an illustrative example, the second fitted curve may use the value of Dmin that minimizes the deviation between successive forecasts.