Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.

Abstract: A vehicle test system is illustrated. The vehicle test system includes a vehicle simulator comprising hardware from a vehicle to be tested. The test system further includes a controller coupled to the vehicle simulator configured to control the vehicle simulator. The test system further includes a 3D environmental simulator coupled to the vehicle simulator, wherein the 3D environmental simulator is configured simulate a 3D environment and movement of a vehicle simulated by the vehicle simulator in the 3D environment based on control inputs to devices for the vehicle simulator.

Abstract: Circuit design techniques can use a trained predictor to predict key dynamic current metrics (such as peak current, peak time, pulse width and total charge) for a gate in a circuit library, where the predictor has been trained over different combinations of different input transition slews and different output fanout models. A dynamic current model solver can be used for a gate in the cell library to derive waveforms (of current versus time) for the different combinations, and a predictor, such as a neural network, can be trained with the outputs from the solver for the different combinations. The trained predictor can be used in a runtime simulation to solve for the dynamic current demand model of the various gates in a circuit design (such as all of the gates in an integrated circuit).

Abstract: A data-driven wind farm frequency control method based on dynamic mode decomposition. The method enables a low-dimension nonlinear dynamic feature of a wind power system to perform global capturing in a high-dimension space through a state transition matrix given by a Koopman operator theory, thus fewer data samples are necessary while control requirements are satisfied with respect to a model fitting accuracy. Meanwhile, a pure linear feature of a control model also provides a favorable foundation for fast on-line dynamic response, thereby satisfying response accuracy and speed requirements simultaneously in an actual control step.

Abstract: Methods, systems and apparatus for simulating a physical system described by an electronic structure Hamiltonian expressed in an orthonormal basis. In one aspect, a method includes decomposing the electronic structure Hamiltonian into a sum of sub-Hamiltonians, wherein each sub-Hamiltonian in the sum of sub-Hamiltonians is expressed in one of multiple bases; simulating evolution of the physical system using the decomposed electronic structure Hamiltonian; and using the simulated evolution of the physical system using the decomposed electronic structure Hamiltonian to determine properties of the physical system.

Abstract: A method for the simulation of a propagation of electromagnetic beams, in particular light beams, is revealed, comprising the following steps of parametric specification of a first beam relative to a first boundary layer, specification of a first material into which the first beam should propagate after the first boundary layer, and determination of a reflection and/or transmission of the first beam relative to the first boundary layer on the basis of the first material and on the basis of a first model, wherein the first model comprises one or more functions which associate one or more reflection and/or transmission parameters with the first beam, and wherein the reflection and/or transmission parameter(s) associated with the first beam via the functions are determined.

Abstract: A turbine mounted behind an aircraft wing provides a specified proportion of a propulsive force in the aircraft flight direction to an amount of power generated by the turbine when driven by the airflow trailing the wing. The turbine converts a portion of the otherwise wasted energy in the rotational vortices trailing the aircraft wing into thrust that reduces aircraft drag while also providing electricity to power electrical systems on the aircraft. In one embodiment, the method used to construct the turbine saves computation time by using an optimization routine to define a preliminary turbine configuration based on an idealized vortex model and then matches it to the flow trailing an actual aircraft wing. The method is also capable of modeling a turbine construction that will use the energy in the wake solely to generate electricity without increasing drag on the aircraft or solely to reduce drag without generating electricity.

Abstract: A simulation tool executing a simulation model and a generating an automated dialog associated therewith. The automated dialog comprises a bot configured for interacting with a user, wherein the dialog is displayed to the user. The bot is integrated with a set of rules that are referenced as a function of input received from the user for furthering the dialog and making a recommendation about the process simulation. In certain embodiments, the simulation tool is configured to select a thermodynamic method for use in a process simulation as a function of the set of rules and the user input.

Abstract: Provided is a method for creating a 2D slicing polyline based support structure for 3D printing. A method for creating a support structure according to an embodiment of die present invention comprises: slicing a 3D model into a plurality of 2D layers; comparing the 2D layers to calculate a support position for each of the 2D layers; and creating supports at the calculated positions. As a result, the supports can be created at precise and meaningful positions, a stable output is possible, and additional slicing work is not necessary on the created supports, whereby improvement of speed can be expected.

Abstract: The present application provides a digital twin utility tunnel system based on a reduced-order simulation model and a real-time calibration algorithm. The system includes a big data aggregation unit and a real-time simulation deduction unit. The big data aggregation unit is configured to collect static attribute data and real-time dynamic data. The real-time dynamic data includes fixed monitoring data and mobile monitoring data. The fixed monitoring data is collected by gas sensors fixedly installed in the utility tunnel, and the mobile monitoring data is collected by mobile sensors in the utility tunnel. The real-time simulation deduction unit includes a forward prediction module and an inversion calibration module.

Abstract: A system and method are provided for simulating circuits that transmit bidirectional signals between some ports using simulators designed originally for electrical circuits and systems, that eliminate the need for different port interfaces. The system and method can be applied to simulate photonic circuits either standalone or integrated with electrical circuits and systems. In one method implemented by the system potential and flow representations, available for example in Verilog-A simulators, are used to create bidirectional signals on a single bus line to transmit optical signals. In another method implemented by the system, the system auto-configures each optical port type as left or right at runtime or during a pre-simulation initialization to allow for bidirectional signals with a single port interface.

Abstract: A method and device for generating a wind turbine generator set simulation model, equipment and a medium, wherein the method includes: clustering a plurality of pieces of historical operation data of a wind turbine generator set, so as to obtain a predetermined number of target data sets, wherein wind speeds contained in each piece of the historical operation data in a target data set fall within a wind speed range corresponding to the target data set; different target data sets correspond to different wind speed ranges; training an initial simulation model by using each target data set, so as to obtain a segmented pneumatic simulation model corresponding to each target data set; constructing a transmission generation simulation model for a transmission system and a generator system, based on the historical operation data; concatenating the segmented pneumatic simulation model corresponding to each wind speed range and the transmission generation simulation model.

Abstract: A development support device, a terminal device, a development support method, and a computer program are provided. A receiving unit that receives a simulation condition of a power storage device from a terminal device after user authentication of the terminal device, a simulation execution unit that simulates behavior of the power storage device based on the received simulation condition, and a transmission unit that transmits a simulation result by the simulation execution unit to the terminal device are included.

Abstract: Embodiments of methods, systems, and computer-readable media for coupling two or more simulators to simulate a coupled multi-physics model of a subsurface formation are provided. A coupling framework loads one or more simulators as shared libraries into a common process and a common memory space with a first simulator to create the coupled multi-physics model of the subsurface formation. During simulation, the coupling framework controls data exchange between the first simulator and the other simulator(s) through the common memory space and controls execution of the first simulator and the other simulator(s) responsive to the common process. In the event of two-way coupling, the coupling framework can receive feedback from the other simulator(s) and alter execution of the first simulator. In the event of grid misalignment, the coupling framework can map data between the first simulator and the other simulator(s) such as in a globally conservative (e.g., mass, energy, etc.) manner.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

Abstract: Embodiments disclosed herein generally relate to a method and a system to generate well trajectories. A computing device receives one or more parameters associated with a target well in a target location. The computing device receives two or more data points for the target well in the target location. The computing device generates a modified wellbore path based on the one or more parameters associated with a target well and the two or more data points via a trained wellbore prediction model. The computing device compares the modified wellbore path for the target well to one or more wellbore paths of one or more wells co-located with the target well in the target location. The computing device updates the modified wellbore path for the target well by adjusting one or more coordinates of the modified wellbore path based on the comparison. The computing device generates a three-dimensional model of the target location.

Abstract: Computer systems and methods are provided for increasing a rate of simulation for quantum computing devices. A quantum computing device includes a plurality of gates, each of which is coupled to one or more modes. In the provided computer systems and methods, a device definition and state information for the quantum computing device are received. The state information includes a plurality of input patterns, each of which indicates a number of input bosons that correspond to a respective mode of the quantum computing device, and an amplitude that corresponds to each input pattern. The device definition includes a plurality of sets of gate values that indicate modification by a respective gate of an input pattern probability. A first group of input patterns is generated for a first gate. The first group of input patterns includes a subset of the plurality of input patterns that meet grouping criteria.

Abstract: In some embodiments, a method for creating a design for a physical device is provided. A computing system receives a design specification. The computing system generates a proposed design based on the design specification. The computing system determines a vector of loss values based on the proposed design. The computing system determines a scalar loss value based on a distance between the vector of loss values and a volume representing desired characteristics of the physical device. The computing system updates the proposed design based on the scalar loss value.

Abstract: A method for designing a multi-layer optical structure includes: obtaining candidate multi-layer optical structures through a sequence generator; obtaining a candidate spectrum for each candidate multi-layer optical structure; obtaining a difference between the candidate spectrum and a target spectrum; updating sequence generator parameters through reinforcement learning training and iteratively performing the obtainings and the updating in response to a first termination condition being not met; and selecting one of all obtained candidate structures to be a target multi-layer optical structure in response to the first termination condition being met. The difference between a spectrum of the target multi-layer optical structure and the target spectrum is minimized through the process. The method of the present application can perform the designs robustly and effectively.

Abstract: Methods, systems, and computer-readable medium to perform operations for simulating performance of a reservoir that includes a wellbore. The operations include determining a constraint for an intelligent completion in a model of the wellbore, where the constraint includes a condition and a responsive action. The operations further include performing, in response to determining that the condition is satisfied, the responsive action. Further, the operations include determining, in response to performing the responsive action, transfer equations for the model of the wellbore. Yet further, the operations include building, using the transfer equations, a wellbore computation matrix for the model of the wellbore. In addition, the operations include solving the wellbore computation matrix and determining that a solution to the wellbore computation matrix has converged to an acceptable tolerance.